Adil Rasheed

About

My research interests revolve around the exciting areas of digital twin technology, artificial intelligence and machine learning, physics-based modeling, and hybrid analysis and modeling. I am particularly intrigued by the concept of digital twin, which involves creating virtual replicas of physical systems to gain valuable insights and optimize their performance. I am also deeply passionate about harnessing the power of artificial intelligence and machine learning to develop intelligent algorithms that can autonomously learn and adapt in complex environments. Moreover, I am fascinated by physics-based modeling, as it allows for a deeper understanding of the underlying principles governing various systems. One of my main research goals is to bridge the gap between AI-driven approaches and knowledge/physics-based models, leveraging the strengths of both to create hybrid analysis and modeling techniques that enhance accuracy, efficiency, and decision-making processes. Overall, I am dedicated to exploring these interdisciplinary areas and making significant contributions to advance the field of computational engineering.

Application Area

Aviation
Autonomous Vessels: Drones, Ships, Underwater vehicles
Business processes: Investment, Stockmarket
Energy system: Buildings, Wind power
Futuristic mobility solution:
Indoor farming: Autonomous greenhouse
Oil and gas: Porus media flow, Drilling
Process technology: Aluminium extraction, Electric arc furnace

Research

Digital Twin for Wind Energy

I am leading the work package on Digital Twin and Asset Management. Recently with major industry partners we have come to common understanding of digital twin and its capability level.

Smart Greenhouse

Chat-GPT driven smart greenhouse is run by a digital twin which learns new strategies for growing plants fully autonomously. It can be monitored using a virtual reality set.

Digital twin of smart houses

Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality

Hybrid Analysis and Modeling

HAM combines knowledge / physics-based models and artificial intelligence to build reliable models for high stake applications.

Publications

Modular control architecture for safe marine navigation: Reinforcement learning with predictive safety filters

Reinforcement Learning (RL) is combined with Predictive Safety Filters (PSF) to enhance autonomous marine navigation. This hybrid approach ensures safe operation in dynamic conditions.

Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions

Delve into our latest comprehensive article as we shine a spotlight on the transformative potential of digital twin technology in the wind energy sector.

Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach

Augmenting physics-based models with data-driven models

PoroTwin: A Digital Twin for a FluidFlower Rig

A digital twin of a porous media flow setup.

Digital Twins in intensive aquaculture — Challenges, opportunities and future prospects

Investigated digital twin adaptation for aquaculture. Reviewed current progress, state-of-the-art components, and outlined a roadmap for benefits. Presented case studies on potential developments.

Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality

Demonstrates the concept of digital twin and capability levels using a modern house.

2025

Wismadi, Muhammad Tsaqif; Frøyen, Yngve Karl; Rasheed, Adil. (2025) Sustainable Active Travel in Environmentally Challenging Cities: A Systematic Review of Barriers and Strategies. Sustainability
Academic literature review
Belay, Mohammed Ayalew; Rasheed, Adil; Salvo Rossi, Pierluigi. (2025) Autoregressive Density Estimation Transformers for Multivariate Time Series Anomaly Detection. IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
Zhang, Wanwan; Vatn, Jørn; Rasheed, Adil. (2025) Gearbox pump failure prognostics in offshore wind turbine by an integrated data-driven model. Applied Energy
Academic article
Morkunaite, Lina; Rasheed, Adil; Pupeikis, Darius; Angelakis, Vangelis; Davidsson, Tobias. (2025) A data-driven building thermal zoning algorithm for digital twin-enabled advanced control. Energy and Buildings
Academic article
Berg, Henrik Stokland; Menges, Daniel; Tengesdal, Trym; Rasheed, Adil. (2025) Digital twin syncing for autonomous surface vessels using reinforcement learning and nonlinear model predictive control. Scientific Reports
Academic article

2024

Lane, Alistair; Føre, Martin; Alver, Morten Omholt; Alfredsen, Jo Arve; Rasheed, Adil; Hukkelås, Thor. (2024) Digital Twins in aquaculture: Taking Precision Farming to the next level. Aquaculture Europe
Popular scientific article
Rasheed, Adil; Brandis, Andreas von. (2024) Multi-Target Tracking for Autonomous Surface Vessels: Fusing LiDAR and AIS Data in a Digital Twin Framework. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Masters thesis
Menges, Daniel; Rasheed, Adil. (2024) Digital Twin for Autonomous Surface Vessels: Enabler for Safe Maritime Navigation. arXiv.org
Academic literature review
Menges, Daniel; Stadtmann, Florian; Jordheim, Henrik; Rasheed, Adil. (2024) Predictive Digital Twin for Condition Monitoring Using Thermal Imaging. arXiv
Article in business/trade/industry journal
Jordheim, Henrik; Stadtmann, Florian; Westad, Frank; Rasheed, Adil. (2024) Digital Twin Ready Encapsulated Thermal Lab: A Modular System for Remote Thermal Imaging and Condition Monitoring. SSRN Electronic Journal
Academic article
Yusuf, Oluwaleke Umar; Rasheed, Adil; Lindseth, Frank. (2024) Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit. International Conference on Control, Automation and Diagnosis (ICCAD)
Academic article
Sørbø, Sondre; Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer. (2024) Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions. Applied Soft Computing
Academic article
Vaaler, Aksel; Husa, Svein Jostein; Menges, Daniel; Larsen, Thomas Nakken; Rasheed, Adil. (2024) Modular control architecture for safe marine navigation: Reinforcement learning with predictive safety filters. Artificial Intelligence
Academic article
Stadtmann, Florian; Rasheed, Adil. (2024) Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Larsen, Thomas Nakken; Barlaug, Eirik Runde; Rasheed, Adil. (2024) Variational Autoencoders for Exteroceptive Perception in Reinforcement Learning-Based Collision Avoidance. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Menges, Daniel; Brandis, Andreas von; Rasheed, Adil. (2024) Digital Twin of Autonomous Surface Vessels for Safe Maritime Navigation Enabled Through Predictive Modeling and Reinforcement Learning. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Stadtmann, Florian; Rasheed, Adil. (2024) Federated Learning and Unlearning as Enablers of Wind Turbine Digital Twins. Journal of Physics: Conference Series (JPCS)
Academic article
Belay, Mohammed Ayalew; Rasheed, Adil; Salvo Rossi, Pierluigi. (2024) Self-Supervised Modular Architecture for Multi-Sensor Anomaly Detection and Localization. IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
Menges, Daniel; Rasheed, Adil; Martens, Harald; Pedersen, Torbjørn. (2024) Real-Time Predictive Condition Monitoring Using Multivariate Data. IEEE Transactions on Image Processing
Academic article
Altindal, Mehmet Cagri; Nivlet, Philippe; Tabib, Mandar Vasudeo; Rasheed, Adil; Kristiansen, Tron Golder; Khosravanian, Rasool. (2024) Anomaly detection in multivariate time series of drilling data. Geoenergy Science and Engineering
Academic article
Tabib, Mandar Vasudeo; Rasheed, Adil. (2024) Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comparisons and Generalization for Industrial Drilling Process . Springer
Academic chapter/article/Conference paper
Alshantti, Abdallah A S; Rasheed, Adil; Westad, Frank. (2024) Privacy Re-Identification Attacks on Tabular GANs. Security and Privacy
Academic article
Menges, Daniel; Tengesdal, Trym; Rasheed, Adil. (2024) Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels. IFAC-PapersOnLine
Academic article
Stadtmann, Florian; Furevik, Erik Rugaard; Rasheed, Adil; Kvamsdal, Trond. (2024) Physics-guided federated learning as an enabler for digital twins. Expert Systems With Applications
Academic article
Belay, Mohammed Ayalew; Rasheed, Adil; Salvo Rossi, Pierluigi. (2024) Multivariate Time Series Anomaly Detection via Low-Rank and Sparse Decomposition. IEEE Sensors Journal
Academic article
Menges, Daniel; Rasheed, Adil. (2024) Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data. IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
Rasheed, Adil; Stadtmann, Florian; Fonn, Eivind; Tabib, Mandar Vasudeo; Tsiolakis, Vasileios; Panjwani, Balram. (2024) Digital Twin for Wind Energy: Latest Updates From the NorthWind Project. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Belay, Mohammed Ayalew; Rasheed, Adil; Salvo Rossi, Pierluigi. (2024) MTAD: Multiobjective Transformer Network for Unsupervised Multisensor Anomaly Detection. IEEE Sensors Journal
Academic article
Brandis, Andreas von; Menges, Daniel; Rasheed, Adil. (2024) Multi-Target Tracking for Autonomous Surface Vessels Using LiDAR and AIS Data Integration. Applied Ocean Research
Academic article
Mino Calero, Alberto; Rasheed, Adil; Lekkas, Anastasios M.. (2024) An XAI Approach on the Capacity of Transformers to Learn Time Dependencies in Time Series Forecasting. International Academy, Research and Industry Association (IARIA)
Academic chapter/article/Conference paper
Belay, Mohammed Ayalew; Rasheed, Adil; Salvo Rossi, Pierluigi. (2024) Sparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly Detection. IEEE Signal Processing Letters
Academic article
Føre, Martin; Alver, Morten Omholt; Alfredsen, Jo Arve; Rasheed, Adil; Hukkelås, Thor; Bjelland, Hans Vanhauwaert. (2024) Digital Twins in intensive aquaculture — Challenges, opportunities and future prospects. Computers and Electronics in Agriculture
Academic literature review
Gupta, Prateek; Rasheed, Adil; Steen, Sverre. (2024) Correlation-based outlier detection for ships’ in-service datasets. Journal of Big Data
Academic article
Alshantti, Abdallah A S; Varagnolo, Damiano; Rasheed, Adil; Rahmati, Aria; Westad, Frank. (2024) CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis. IEEE Access
Academic article

2023

Bjørkøy, Håvard Bjørgan; Engmark, Hans Alvar; Rasheed, Adil; Varagnolo, Damiano. (2023) Regularization when modeling with biased simulation data as a prior. IFAC-PapersOnLine
Academic article
Larsen, Thomas Nakken; Hansen, Hannah; Rasheed, Adil. (2023) Risk-based Convolutional Perception Models for Collision Avoidance in Autonomous Marine Surface Vessels using Deep Reinforcement Learning. IFAC-PapersOnLine
Academic article
Bjørkøy, Håvard Bjørgan; Engmark, Hans Alvar; Rasheed, Adil; Varagnolo, Damiano. (2023) Regularization when modeling with biased simulation data as a prior. Elsevier
Academic chapter/article/Conference paper
Rasheed, Adil; Vaaler, Aksel; Husa, Svein Jostein. (2023) Safe Reinforcement Learning in Marine Navigation and Control: Using a Predictive Safety Filter for Safety Verification on Autonomous Surface Vessels. NTNU
Masters thesis
Vaaler, Aksel; Robinson, Haakon Rennesvik; Tengesdal, Trym; Rasheed, Adil. (2023) Modular Collision Avoidance Using Predictive Safety Filters. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Tabib, Mandar Vasudeo; Nivlet, Philippe; Bjørkevoll, Knut Steinar; Skogestad, Jan Ole; Nybø, Roar; Rasheed, Adil. (2023) An Intrusive Hybrid-Analytics and Modelling with Deep-Learning for Efficient and Accurate Predictions of Hole-Cleaning Process during Wellbore Drilling Simulations. Society of Petroleum Engineers
Academic chapter/article/Conference paper
Zhang, Wanwan; Vatn, Jørn; Rasheed, Adil. (2023) Statistical analysis of offshore wind turbine failures. Research Publishing Services
Academic chapter/article/Conference paper
Haugstvedt, Emil Johannesen; Mino Calero, Alberto; Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy. (2023) A Comparative Study of Sparsity Promoting Techniques in Neural Network for Modeling Non-Linear Dynamics. IEEE Access
Academic article
Tabib, Mandar Vasudeo; Skaret, Kristoffer; Bruaset, Endre; Rasheed, Adil. (2023) Data-Driven Spatio-Temporal Modelling and Optimal Sensor Placement for a Digital Twin Set-Up. Engineering Proceedings
Academic article
Tabib, Mandar Vasudeo; Nivlet, Philippe; Skogestad, Jan Ole; Nybø, Roar; Rasheed, Adil. (2023) A Hybrid Approach to Detect Bad Hole Cleaning . The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Nivlet, Philippe; Bjørkevoll, Knut Steinar; Tabib, Mandar Vasudeo; Skogestad, Jan Ole; Lund, Bjørnar; Nybø, Roar. (2023) Towards Real-Time Bad Hole Cleaning Problem Detection Through Adaptive Deep Learning Models. Society of Petroleum Engineers
Academic chapter/article/Conference paper
Stadtmann, Florian; Wassertheurer, Henrik Andreas Gusdal; Rasheed, Adil. (2023) Demonstration of a Standalone, Descriptive, and Predictive Digital Twin of a Floating Offshore Wind Turbine. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Stadtmann, Florian; Mahalingam, Hary Pirajan; Rasheed, Adil. (2023) Data Integration Framework for Virtual Reality Enabled Digital Twins. IEEE 9th World Forum on Internet of Things (WF-IoT)
Academic anthology/Conference proceedings
Belay, Mohammed Ayalew; Blakseth, Sindre Stenen; Rasheed, Adil; Salvo Rossi, Pierluigi. (2023) Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions. Sensors
Academic article
Keilegavlen, Eirik; Fonn, Eivind; Johannessen, Kjetil Andre; Eikehaug, Kristoffer; Both, Jakub Wiktor; Fernø, Martin. (2023) PoroTwin: A Digital Twin for a FluidFlower Rig. Transport in Porous Media
Academic article
Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy; Halvorsen, Ivar Johan. (2023) Sparse deep neural networks for modeling aluminum electrolysis dynamics. Applied Soft Computing
Academic article
Ahmed, Shady E; San, Omer; Rasheed, Adil; Iliescu, Traian; Veneziani, Alessandro. (2023) Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. SIAM Journal on Scientific Computing
Academic article
Wold, Jacob Wulff; Stadtmann, Florian; Rasheed, Adil; Tabib, Mandar Vasudeo; San, Omer; Horn, Jan-Tore Haugan. (2023) Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach. Engineering Applications of Artificial Intelligence
Academic article
Midjiyawa, Zakari; Venås, Jon Vegard; Kvamsdal, Trond; Kvarving, Arne Morten; Midtbø, Knut Helge; Rasheed, Adil. (2023) Nested computational fluid dynamic modeling of mean turbulent quantities estimation in complex topography using AROME-SIMRA. Journal of Wind Engineering and Industrial Aerodynamics
Academic article
Stadtmann, Florian; Rasheed, Adil; Kvamsdal, Trond; Johannessen, Kjetil Andre; San, Omer; Kölle, Konstanze. (2023) Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. IEEE Access
Academic article
Lundby, Erlend Torje Berg; Robinson, Haakon; Rasheed, Adil; Halvorsen, Ivar Johan; Gravdahl, Jan Tommy. (2023) Sparse Neural Networks with Skip-Connections for Identification of Aluminum Electrolysis Cell. IEEE Conference on Decision and Control. Proceedings
Academic article
Robinson, Haakon; Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy. (2023) Deep learning assisted physics-based modeling of aluminum extraction process. Engineering Applications of Artificial Intelligence
Academic article
Stadtmann, Florian; Rasheed, Adil; Rasmussen, Tore. (2023) Standalone, Descriptive, and Predictive Digital Twin of an Onshore Wind Farm in Complex Terrain . Journal of Physics: Conference Series (JPCS)
Academic article
Menges, Daniel; Rasheed, Adil. (2023) An environmental disturbance observer framework for autonomous surface vessels. Ocean Engineering
Academic article
Menges, Daniel; Sætre, Simon Mork; Rasheed, Adil. (2023) Digital Twin for Autonomous Surface Vessels to Generate Situational Awareness. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Gupta, Prateek; Kim, YoungRong; Steen, Sverre; Rasheed, Adil. (2023) Streamlined semi-automatic data processing framework for ship performance analysis. International Journal of Naval Architecture and Ocean Engineering
Academic article
Pawar, Suraj; San, Omer; Rasheed, Adil; Vedula, Prakash. (2023) Frame invariant neural network closures for Kraichnan turbulence. Physica A: Statistical Mechanics and its Applications
Academic article

2022

Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer. (2022) Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. Applied Soft Computing
Academic article
Jain, Ravinder Praveen Kumar; Brekke, Edmund Førland; Rasheed, Adil. (2022) Unsupervised Clustering of Marine Vessel Trajectories in Historical AIS Database. IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
Tabib, Mandar; Tsiolakis, Vasileios; Pawar, Suraj; Ahmed, Shady E.; Rasheed, Adil; Kvamsdal, Trond. (2022) Hybrid deep-learning POD-based parametric reduced order model for flow around wind-turbine blade. Journal of Physics: Conference Series (JPCS)
Academic article
San, Omer; Pawar, Suraj; Rasheed, Adil. (2022) Prospects of federated machine learning in fluid dynamics. AIP Advances
Academic article
Zhang, Wanwan; Vatn, Jørn; Rasheed, Adil. (2022) A review of failure prognostics for predictive maintenance of offshore wind turbines. Journal of Physics: Conference Series (JPCS)
Academic article
Larsen, Thomas Nakken; Busetto, Riccardo; Varagnolo, Damiano; Formentin, Simone; Rasheed, Adil. (2022) A receding horizon approach for curriculum management in higher education. IFAC-PapersOnLine
Academic article
Tabib, Mandar; Stene, Jon Kåre; Rasheed, Adil; Langeland, Ove; Gundersen, Frants Henrik. (2022) Machine Learning for Capacity Utilization Along the Routes of an Urban Freight Service. Springer
Academic chapter/article/Conference paper
Busetto, Riccardo; Larsen, Thomas Nakken; Rasheed, Adil; Varagnolo, Damiano; Formentin, Simone. (2022) A receding-horizon estimation and control framework for the content sequencing problem. IEEE conference proceedings
Academic chapter/article/Conference paper
Elfarri, Elias Mohammed; Rasheed, Adil; San, Omer. (2022) Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality. IEEE Access
Academic article
Bjørkøy, Håvard; Engmark, Hans A.; Rasheed, Adil; Varagnolo, Damiano. (2022) Wienerization Based Control of Nonlinear Systems. IEEE conference proceedings
Academic chapter/article/Conference paper
Robinson, Haakon; Pawar, Suraj; Rasheed, Adil; San, Omer. (2022) Physics guided neural networks for modelling of non-linear dynamics. Neural Networks
Academic article
San, Omer; Pawar, Suraj; Rasheed, Adil. (2022) Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems. Scientific Reports
Academic article
San, Omer; Pawar, Suraj; Rasheed, Adil. (2022) Decentralized digital twins of complex dynamical systems. Scientific Reports
Academic article
Engmark, Hans Alvar; Bjørkøy, Håvard Bjørgan; Rasheed, Adil; Varagnolo, Damiano. (2022) Wienerization of systems in nonlinear control canonical normal form. IEEE conference proceedings
Academic chapter/article/Conference paper
Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer. (2022) Deep neural network enabled corrective source term approach to hybrid analysis and modeling. Neural Networks
Academic article
Gupta, Prateek; Rasheed, Adil; Steen, Sverre. (2022) Ship performance monitoring using machine-learning. Ocean Engineering
Academic article
Pawar, Suraj; San, Omer; Vedula, Prakash; Rasheed, Adil; Kvamsdal, Trond. (2022) Multi-fidelity information fusion with concatenated neural networks. Scientific Reports
Academic article
Heiberg, Amalie; Larsen, Thomas Nakken; Meyer, Eivind; Rasheed, Adil; San, Omer; Varagnolo, Damiano. (2022) Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. Neural Networks
Academic article

2021

Blakseth, Sindre Stenen; Rasheed, Adil. (2021) Introducing CoSTA: A Deep Neural Network Enabled Approach to Improving Physics-Based Numerical Simulations. Norwegian University of Science and Technology
Masters thesis
Tabib, Mandar; Pawar, Suraj; Ahmed, Shady E; Rasheed, Adil; San, Omer. (2021) A non-intrusive parametric reduced order model for urban wind flow using deep learning and Grassmann manifold. Journal of Physics: Conference Series (JPCS)
Academic article
Tabib, Mandar; Midtbø, Knut Helge; Rasheed, Adil; Kvamsdal, Trond; Skaslien, Tor. (2021) A nested multi-scale model for assessing urban wind conditions : Comparison of Large Eddy Simulation versus RANS turbulence models when operating at the finest scale of the nesting. Journal of Physics: Conference Series (JPCS)
Academic article
Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil. (2021) Hybrid analysis and modeling for next generation of digital twins. Journal of Physics: Conference Series (JPCS)
Academic article
Tsiolakis, Vasileios; Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Brummelen, Harald van. (2021) Reduced order models for finite-volume simulations of turbulent flow around wind-turbine blades. Journal of Physics: Conference Series (JPCS)
Academic article
Pawar, Suraj; San, Omer; Rasheed, Adil; Navon, Ionel M.. (2021) A nonintrusive hybrid neural-physics modeling of incomplete dynamical systems: Lorenz equations. GEM - International Journal on Geomathematics
Academic article
Pawar, Suraj; San, Omer; Nair, Aditya; Rasheed, Adil; Kvamsdal, Trond. (2021) Model fusion with physics-guided machine learning: Projection-based reduced-order modeling. Physics of Fluids
Academic article
Tabib, Mandar; Rasheed, Adil; Priya Uteng, Tanu. (2021) Machine learning with subsequent physics-based analytics for guiding transport planning. IEEE conference proceedings
Academic chapter/article/Conference paper
Larsen, Thomas Nakken; Teigen, Halvor Ødegård; Laache, Torkel; Varagnolo, Damiano; Rasheed, Adil. (2021) Comparing Deep Reinforcement Learning Algorithms’ Ability to Safely Navigate Challenging Waters. Frontiers in Robotics and AI
Academic article
Stavelin, Peter Herman; Rasheed, Adil; San, Omer; Hestnes, Arne Johan. (2021) Applying Object Detection to Marine Data and Exploring Explainability of a Fully Convolutional Neural Network Using Principal Component Analysis. Ecological Informatics
Academic article
Tabib, Mandar; Rasheed, Adil. (2021) Drone-based transport of biological material: Wind and turbulence prediction at OUS, Hospital for path planning. SINTEF Rapport (2021:00533)
Report
Alshantti, Abdallah Anis Sameer; Rasheed, Adil. (2021) Self-organising map based framework for investigating accounts suspected of money laundering. Frontiers in Artificial Intelligence
Academic article
Ahmed, Shady E; Pawar, Suraj; San, Omer; Rasheed, Adil; Trian, Iliescu; Noack, Bernd R.. (2021) On closures for reduced order models— A spectrum of first-principle to machine-learned avenues. Physics of Fluids
Academic article
Ahmed, Shady E; San, Omer; Rasheed, Adil; Iliescu, Traian. (2021) Nonlinear proper orthogonal decomposition for convection-dominated flows. Physics of Fluids
Academic article
Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy; Halvorsen, Ivar Johan. (2021) A novel hybrid analysis and modeling approach applied to aluminum electrolysis process. Journal of Process Control
Academic article
Sundby, Tiril; Graham, Julia Maria; Rasheed, Adil; Tabib, Mandar; San, Omer. (2021) Geometric Change Detection in Digital Twins. Digital
Academic article
San, Omer; Rasheed, Adil; Kvamsdal, Trond. (2021) Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution. GAMM-Mitteilungen
Academic article
Gupta, Prateek; Taskar, Bhushan; Steen, Sverre; Rasheed, Adil. (2021) Statistical modeling of Ship’s hydrodynamic performance indicator. Applied Ocean Research
Academic article
Ahmed, Shady E; Pawar, Suraj; San, Omer; Rasheed, Adil; Tabib, Mandar. (2021) A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction. Computers & Fluids
Academic article
Ahmed, Shady E; San, Omer; Kara, Kursat; Younis, Rami; Rasheed, Adil. (2021) Multifidelity computing for coupling full and reduced order models. PLOS ONE
Academic article

2020

Heiberg, Amalie; Rasheed, Adil. (2020) COLREG-Compliance for Autonomous Surface Vehicles using Deep Reinforcement Learning. Norwegian University of Science and Technology
Masters thesis
Pawar, Suraj; San, Omer; Rasheed, Adil; Vedula, Prakash. (2020) A priori analysis on deep learning of subgrid-scale parameterizations for Kraichnan turbulence. Theoretical and Computational Fluid Dynamics
Academic article
Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil. (2020) Data-driven recovery of hidden physics in reduced order modeling of fluid flows. Physics of Fluids
Academic article
Ahmed, Shady E; San, Omer; Rasheed, Adil; Trian, Iliescu. (2020) A long-short term memory for hybrid uplifted reduced order models. Physica D : Non-linear phenomena
Academic article
Havenstrøm, Simen Theie; Sterud, Camilla; Rasheed, Adil; San, Omer. (2020) Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles. arXiv.org
Academic article
Tran, Duyen; Rasheed, Adil. (2020) Convolutional Neural Network and Generative Adversarial Networks Enabled Resolution Enhancement of Numerical Simulations. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Masters thesis
Meyer, Eivind; Rasheed, Adil. (2020) On Course Towards Model-Free Guidance: A Self-Learning Approach To Dynamic Collision Avoidance for Autonomous Surface Vehicles. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Masters thesis
Nakken, Thomas; Rasheed, Adil. (2020) On the applicability of a perceptually driven generative-adversarial framework for super-resolution of wind fields in complex terrain. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Masters thesis
Vesterkjær, Eirik Ekjord; Rasheed, Adil. (2020) Combining Grid-Based Uncertainty Propagation and Neural Networks With Uncertainty Estimation. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Masters thesis
Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond. (2020) Numerical assessment of RANS turbulence models for the development of data driven Reduced Order Models. Ocean Engineering
Academic article
Tran, Duy Tan; Robinson, Haakon; Rasheed, Adil; San, Omer; Tabib, Mandar; Kvamsdal, Trond. (2020) GANs enabled super-resolution reconstruction of wind field. Journal of Physics: Conference Series (JPCS)
Academic article
Fonn, Eivind; van Brummelen, Harald; Kvamsdal, Trond; Rasheed, Adil. (2020) Fast divergence-conforming reduced basis methods for stationary and transient flow problems. Journal of Physics: Conference Series (JPCS)
Academic article
Meyer, Eivind; Robinson, Haakon; Rasheed, Adil; San, Omer. (2020) Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning. IEEE Access
Academic article
Vaddireddy, Harsha; Rasheed, Adil; Staples, Anne; San, Omer. (2020) Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data. Physics of Fluids
Academic article
Rasheed, Adil; San, Omer; Kvamsdal, Trond. (2020) Digital Twin: Values, Challenges and Enablers from a modelling perspective. IEEE Access
Academic article
Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil; Navon, Ionel M. (2020) Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows. Physics of Fluids
Academic article
Ahmed, Shady E; Pawar, Suraj; San, Omer; Rasheed, Adil. (2020) Reduced order modeling of fluid flows: Machine learning, Kolmogorov barrier, closure modeling, and partitioning. AIAA Journal
Academic article
Havenstrøm, Simen Theie; Rasheed, Adil; San, Omer. (2020) Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles. Frontiers in Robotics and AI
Academic article
Ahmed, Shady E; San, Omer; Kara, Kursat; Younis, Rami; Rasheed, Adil. (2020) Interface learning of multiphysics and multiscale systems. Physical Review E (PRE)
Academic article
Ahmed, Shady E; Bhar, Kinjal; San, Omer; Rasheed, Adil. (2020) Forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reduction. Physical Review E (PRE)
Academic article
Meyer, Eivind; Heiberg, Amalie; Rasheed, Adil; San, Omer. (2020) COLREG-compliant collision avoidance for unmanned surface vehicle using deep reinforcement learning. IEEE Access
Academic article
Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil. (2020) An evolve-then-correct reduced order model for hidden fluid dynamics. Mathematics
Academic article
Pawar, Suraj; San, Omer; Aksoylu, Burak; Rasheed, Adil; Kvamsdal, Trond. (2020) Physics guided machine learning using simplified theories. Physics of Fluids
Academic article
Tabib, Mandar; Midtbø, Knut Helge; Skaslien, Tor; Rasheed, Adil; Kvamsdal, Trond. (2020) Towards Understanding Wind Impact for Drone Operations: A Comparison of Wind Models Operating on Different Scales in a Nested Multiscale Set-Up. SINTEF akademisk forlag
Academic chapter/article/Conference paper
Elsetrønning, Andrine; Rasheed, Adil; Bekker, Jon; San, Omer. (2020) On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification. arXiv
Academic article

2019

Fonn, Eivind; Brummelen, Harald van; Kvamsdal, Trond; Rasheed, Adil. (2019) Fast divergence-conforming reduced basis methods for steady Navier–Stokes flow. Computer Methods in Applied Mechanics and Engineering
Academic article
Siddiqui, Muhammad Salman; Fonn, Eivind; Kvamsdal, Trond; Rasheed, Adil. (2019) Finite-Volume High-Fidelity Simulation Combined with Finite-Element-Based Reduced-Order Modeling of Incompressible Flow Problems. Energies
Academic article
Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond. (2019) Validation of the numerical simulations of flow around a scaled-down turbine using experimental data from wind tunnel. Wind and Structures
Academic article
Ahmed, Shady E; Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil; Navon, Ionel M. (2019) Memory embedded non-intrusive reduced order modeling of non-ergodic flows. Physics of Fluids
Academic article
Tabib, Mandar; Rasheed, Adil; Kvamsdal, Trond. (2019) High-Resolution Cfd Modelling and Prediction of Terrain-Induced Wind Shear and Turbulence for Aviation Safety. International Center for Numerical Methods in Engineering (CIMNE)
Academic chapter/article/Conference paper
Robinson, Haakon; Rasheed, Adil; San, Omer. (2019) Dissecting Deep Neural Networks. arXiv.org
Academic article
Siddiqui, Muhammad Salman; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond. (2019) Numerical investigation of modeling frameworks and geometric approximations on NREL 5 MW wind turbine. Renewable Energy
Academic article
Siddiqui, Muhammad Salman; Kvamsdal, Trond; Rasheed, Adil. (2019) High Fidelity Computational Fluid Dynamics Assessment of Wind Tunnel Turbine Test. Journal of Physics: Conference Series (JPCS)
Academic article
Pawar, Suraj; Rahman, Sk. Mashfiqur; Vaddireddy, H; San, Omer; Rasheed, Adil; Vedula, Prakash. (2019) A deep learning enabler for non-intrusive reduced order modeling of fluid flows. Physics of Fluids
Academic article
Rahman, Sk. Mashfiqur; Pawar, Suraj; San, Omer; Rasheed, Adil; Iliescu, Traian. (2019) Nonintrusive reduced order modeling framework for quasigeostrophic turbulence. Physical Review E (PRE)
Academic article
Rasheed, Adil; San, Omer; Kvamsdal, Trond. (2019) Hybrid Analysis and Modeling as an enabler for Big Data Cybernetics. Proceedings of NSCM 32: The 32nd Nordic Seminar on Computational Mechanics (1)
Academic anthology/Conference proceedings
Gupta, Prateek; Steen, Sverre; Rasheed, Adil. (2019) Big Data Analytics As a Tool to Monitor Hydrodynamic Performance of a Ship. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper

2018

Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash. (2018) Data-driven deconvolution for large eddy simulations of Kraichnan turbulence. Physics of Fluids
Academic article
Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil. (2018) A Hybrid Approach for Model Order Reduction of Barotropic Quasi-Geostrophic Turbulence. Fluids
Academic article
Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil. (2018) A Hybrid Analytics Paradigm Combining Physics-Based Modeling and Data-Driven Modeling to Accelerate Incompressible Flow Solvers. Fluids
Academic article
Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash. (2018) Subgrid modelling for two-dimensional turbulence using neural networks. Journal of Fluid Mechanics
Academic article
Tabib, Mandar; Løvvik, Ole Martin; Johannessen, Kjetil Andre; Rasheed, Adil; Sagvolden, Espen; Rustad, Anne Marthine. (2018) Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges. Lecture Notes in Computer Science (LNCS)
Academic article

2017

Tabib, Mandar; Rasheed, Adil; Fonn, Eivind. (2017) A COMPUTATIONAL FRAMEWORK INVOLVING CFD AND DATA MINING TOOLS FOR ANALYZING DISEASE IN CAROTID ARTERY BIFURCATION. SINTEF akademisk forlag
Academic chapter/article/Conference paper
Fonn, Eivind; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond. (2017) A Step Towards a Reduced Order Modelling of Flow Characterized by Wakes Using Proper Orthogonal Decomposition. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Rasheed, Adil; Tabib, Mandar; Kristiansen, Jørn. (2017) Wind farm modeling in a realistic environment using a multiscale approach. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Siddiqui, Muhammad Salman; Rasheed, Adil; Tabib, Mandar; Fonn, Eivind; Kvamsdal, Trond. (2017) On interactions between wind turbines and the marine boundary layer. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Rasheed, Adil; Süld, Jakob Kristoffer; Tabib, Mandar. (2017) Effect of UNI- and bi-directional coupling of ocean-met interaction on significant wave height and local wind. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Tabib, Mandar; Siddiqui, Muhammad Salman; Fonn, Eivind; Rasheed, Adil; Kvamsdal, Trond. (2017) Near wake region of an industrial scale wind turbine: comparing LES-ALM with LES-SMI simulations using data mining (POD). Journal of Physics: Conference Series (JPCS)
Academic article
Tabib, Mandar; Rasheed, Adil; Priya Uteng, Tanu. (2017) Methodology for assessing cycling comfort during a smart city development. Energy Procedia
Academic article
Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond; Tabib, Mandar. (2017) Quasi-Static & Dynamic Numerical Modeling of Full Scale NREL 5MW Wind Turbine. Energy Procedia
Academic article
Rasheed, Adil; Süld, Jakob Kristoffer; Tabib, Mandar; Kvamsdal, Trond; Kristiansen, Jørn. (2017) Demonstrating the impact of bidirectional coupling on the performance of an ocean-met model. Energy Procedia
Academic article
Fonn, Eivind; Tabib, Mandar; Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond. (2017) A step towards reduced order modelling of flow characterized by wakes using Proper Orthogonal Decomposition. Energy Procedia
Academic article
Tabib, Mandar; Rasheed, Adil; Siddiqui, Muhammad Salman; Kvamsdal, Trond. (2017) A full-scale 3D Vs 2.5D Vs 2D analysis of flow pattern and forces for an industrial-scale 5MW NREL reference wind-turbine. Energy Procedia
Academic article
Tabib, Mandar; Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond. (2017) Industrial scale turbine and associated wake development-comparison of RANS based Actuator Line Vs Sliding Mesh Interface Vs Multiple Reference Frame method. Energy Procedia
Academic article
Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond; Tabib, Mandar. (2017) Influence of Tip Speed Ratio on Wake Flow Characteristics Utilizing Fully Resolved CFD Methodology. Journal of Physics: Conference Series (JPCS)
Academic article
Siddiqui, Muhammad Salman; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond. (2017) Numerical Modeling Framework for Wind Turbine Analysis & Atmospheric Boundary Layer Interaction . American Institute of Aeronautics and Astronautics (AIAA)
Academic chapter/article/Conference paper
Tabib, Mandar; Rasheed, Adil. (2017) Machine learning based investigation of influence of weather on transport mobility. SINTEF Rapport (2017:00703)
Report
Tabib, Mandar; Rasheed, Adil; Fuchs, Franz Georg. (2017) Analysis of Unsteady Hydrodynamics Related to Vortex Induced Vibrations on Bluff-Bodied Offshore Structure. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper

2016

Siddiqui, Muhammad Salman; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond. (2016) Numerical analysis of NREL 5MW wind turbine: a study towards a better understanding of wake characteristic and torque generation mechanism. Journal of Physics: Conference Series (JPCS)
Academic article
Fuchs, Franz Georg; Rasheed, Adil; Tabib, Mandar; Fonn, Eivind. (2016) Wake modeling in complex terrain using a hybrid Eulerian-Lagrangian Split Solver. Journal of Physics: Conference Series (JPCS)
Academic article
Tabib, Mandar; Rasheed, Adil; Fuchs, Franz Georg. (2016) Analyzing complex wake-terrain interactions and its implications on wind-farm performance. Journal of Physics: Conference Series (JPCS)
Academic article
Nordanger, Knut; Rasheed, Adil; Okstad, Knut Morten; Kvarving, Arne Morten; Holdahl, Runar; Kvamsdal, Trond. (2016) Numerical benchmarking of fluid–structure interaction: An isogeometric finite element approach. Ocean Engineering
Academic article
Rasheed, Adil; Tabib, Mandar. (2016) Flow characterization in Complex Terrain for Aviation Safety. World Academy of Science, Engineering and Technology
Academic article
Rasheed, Adil; Tabib, Mandar; Fuchs, Franz Georg. (2016) Wake Vortex Micro-Scale Turbulence Prototype Development and Sensitivity Studies. SESAR 12.2.2
Report
Tabib, Mandar; Fuchs, Franz Georg; Rasheed, Adil. (2016) Report on wake vortex micro-scale turbulent airflow interaction methodologies. SESAR 12.2.2 Report
Report

2015

Nordanger, Knut; Holdahl, Runar; Kvarving, Arne Morten; Rasheed, Adil; Kvamsdal, Trond. (2015) Implementation and comparison of three isogeometric Navier–Stokes solvers applied to simulation of flow past a fixed 2D NACA0012 airfoil at high Reynolds number. Computer Methods in Applied Mechanics and Engineering
Academic article
Shabnam, Adiba; Rasheed, Adil. (2015) Investigation of the influence of 5-HT1A R agonist and 5-HT2A/2C R agonist in m-RNA expression of AMPA-R GABA-Aα1 R and BDNF in HT-22 cells of mice using PCR and statistical technique. Journal of Applied & Computational Mathematics
Abstract
Fonn, Eivind; Rasheed, Adil; Kvarving, Arne Morten; Kvamsdal, Trond. (2015) Spline based Mesh Generator for high fidelity simulation of flow around turbine blades. Energy Procedia
Academic article
Süld, Jakob Kristoffer; Rasheed, Adil; Kristiansen, Jørn; Sætra, Øyvind; Carrasco, Ana; Kvamsdal, Trond. (2015) Mesoscale numerical modelling of met-ocean interactions. Energy Procedia
Academic article
Tabib, Mandar; Rasheed, Adil; Kvamsdal, Trond. (2015) Investigation of the impact of wakes and stratification on the performance of an onshore wind farm. Energy Procedia
Academic article
Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond; Tabib, Mandar. (2015) Effect of turbulence intensity on the performance of an offshore vertical axis wind turbine. Energy Procedia
Academic article
van Opstal, Timo Matteo; Fonn, Eivind; Holdahl, Runar; Kvamsdal, Trond; Kvarving, Arne Morten; Mathisen, Kjell Magne. (2015) Isogeometric methods for CFD and FSI-simulation of flow around turbine blades. Energy Procedia
Academic article
Sørli, Karstein; Tabib, Mandar; Rasheed, Adil. (2015) Analysis of Turbulent Wakes Behind Helicopter Hangars at Sola Airport. SINTEF Rapport (A27048)
Report
Tabib, Mandar; Rasheed, Adil; Kvamsdal, Trond. (2015) LES and RANS simulation of onshore Bessaker wind farm: analyzing terrain and wake effects on wind farm performance. Journal of Physics: Conference Series (JPCS)
Academic article
Nordanger, Knut; Holdahl, Runar; Kvamsdal, Trond; Kvarving, Arne Morten; Rasheed, Adil. (2015) Simulation of airflow past a 2D NACA0015 airfoil using an isogeometric incompressible Navier-Stokes solver with the Spalart-Allmaras turbulence model. Computer Methods in Applied Mechanics and Engineering
Academic article

2014

Rasheed, Adil. (2014) Cover page of the proceedings of the Parallel CFD 2014 conference.
Visual Arts
Rasheed, Adil; Holdahl, Runar; Kvamsdal, Trond; Åkervik, Espen. (2014) A Comprehensive Simulation Methodology for Fluid-Structure Interaction of Offshore Wind Turbines. Energy Procedia
Academic article
Rasheed, Adil; Süld, Jakob Kristoffer; Kvamsdal, Trond. (2014) A Multiscale Wind and Power Forecast System for Wind Farms. Energy Procedia
Academic article
Rasheed, Adil; Mushtaq, Asif. (2014) Numerical analysis of flight conditions at the Alta airport, Norway. Aviation
Academic article
Rasheed, Adil; Sørli, Karstein. (2014) A multiscale turbulence prediction and alert system for airports in hilly regions. IEEE conference proceedings
Academic chapter/article/Conference paper
Rasheed, Adil; Kvamsdal, Trond. (2014) Multiscale Wind Modeling. International Center for Numerical Methods in Engineering (CIMNE)
Academic chapter/article/Conference paper
Kvarving, Arne Morten; Holdahl, Runar; Kvamsdal, Trond; Rasheed, Adil. (2014) Parallel computations of air flow around wind turbine blades. International Center for Numerical Methods in Engineering (CIMNE)
Academic chapter/article/Conference paper

2013

Rasheed, Adil; Sørli, Karstein. (2013) CFD Analysis of Terrain Induced Turbulence at Kristiansand Airport, Kjevik. Aviation
Academic article
Rasheed, Adil; Robinson, Darren. (2013) Characterization of dispersive fluxes in Mesoscale models using LES of flow over an array of cubes. International Journal of Atmospheric Sciences
Academic article
Rasheed, Adil. (2013) Two paintings to be awarded to the winners of the Best Poster Award on the NOWITECH Day 2013.
Visual Arts
Sørli, Karstein; Rasheed, Adil. (2013) Impact Assessment of Adverse Turbulence due to Landscape changes close to Airports. Mathematical and Software Tools for Terrain Modification and Impact Assessment. SINTEF Rapport (A25598)
Report

2012

Rasheed, Adil; Sørli, Karstein; Holdahl, Runar; Kvamsdal, Trond. (2012) A Multiscale Approach to Micrositing of Wind Turbines. Energy Procedia
Academic article

2011

Rasheed, Adil; Robinson, Darren; Clappier, Alain; Narayanan, Chidambaram ; Lakehal, Djamel. (2011) Representing complex urban geometries in mesoscale modeling. International Journal of Climatology
Academic article
Rasheed, Adil; Robinson, Darren. (2011) The Urban Climate. Earthscan Publications Ltd.
Academic chapter/article/Conference paper
Sørli, Karstein; Rasheed, Adil. (2011) Terrain-forced Wind and Turbulence and Optimization of Local Domains and Grids for Terrain-induced Turbulence Forecast. SINTEF Rapport (A19928)
Report

Journal publications

Wismadi, Muhammad Tsaqif; Frøyen, Yngve Karl; Rasheed, Adil. (2025) Sustainable Active Travel in Environmentally Challenging Cities: A Systematic Review of Barriers and Strategies. Sustainability
Academic literature review
Zhang, Wanwan; Vatn, Jørn; Rasheed, Adil. (2025) Gearbox pump failure prognostics in offshore wind turbine by an integrated data-driven model. Applied Energy
Academic article
Morkunaite, Lina; Rasheed, Adil; Pupeikis, Darius; Angelakis, Vangelis; Davidsson, Tobias. (2025) A data-driven building thermal zoning algorithm for digital twin-enabled advanced control. Energy and Buildings
Academic article
Berg, Henrik Stokland; Menges, Daniel; Tengesdal, Trym; Rasheed, Adil. (2025) Digital twin syncing for autonomous surface vessels using reinforcement learning and nonlinear model predictive control. Scientific Reports
Academic article
Lane, Alistair; Føre, Martin; Alver, Morten Omholt; Alfredsen, Jo Arve; Rasheed, Adil; Hukkelås, Thor. (2024) Digital Twins in aquaculture: Taking Precision Farming to the next level. Aquaculture Europe
Popular scientific article
Menges, Daniel; Rasheed, Adil. (2024) Digital Twin for Autonomous Surface Vessels: Enabler for Safe Maritime Navigation. arXiv.org
Academic literature review
Menges, Daniel; Stadtmann, Florian; Jordheim, Henrik; Rasheed, Adil. (2024) Predictive Digital Twin for Condition Monitoring Using Thermal Imaging. arXiv
Article in business/trade/industry journal
Jordheim, Henrik; Stadtmann, Florian; Westad, Frank; Rasheed, Adil. (2024) Digital Twin Ready Encapsulated Thermal Lab: A Modular System for Remote Thermal Imaging and Condition Monitoring. SSRN Electronic Journal
Academic article
Yusuf, Oluwaleke Umar; Rasheed, Adil; Lindseth, Frank. (2024) Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit. International Conference on Control, Automation and Diagnosis (ICCAD)
Academic article
Sørbø, Sondre; Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer. (2024) Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions. Applied Soft Computing
Academic article
Vaaler, Aksel; Husa, Svein Jostein; Menges, Daniel; Larsen, Thomas Nakken; Rasheed, Adil. (2024) Modular control architecture for safe marine navigation: Reinforcement learning with predictive safety filters. Artificial Intelligence
Academic article
Stadtmann, Florian; Rasheed, Adil. (2024) Federated Learning and Unlearning as Enablers of Wind Turbine Digital Twins. Journal of Physics: Conference Series (JPCS)
Academic article
Menges, Daniel; Rasheed, Adil; Martens, Harald; Pedersen, Torbjørn. (2024) Real-Time Predictive Condition Monitoring Using Multivariate Data. IEEE Transactions on Image Processing
Academic article
Altindal, Mehmet Cagri; Nivlet, Philippe; Tabib, Mandar Vasudeo; Rasheed, Adil; Kristiansen, Tron Golder; Khosravanian, Rasool. (2024) Anomaly detection in multivariate time series of drilling data. Geoenergy Science and Engineering
Academic article
Alshantti, Abdallah A S; Rasheed, Adil; Westad, Frank. (2024) Privacy Re-Identification Attacks on Tabular GANs. Security and Privacy
Academic article
Menges, Daniel; Tengesdal, Trym; Rasheed, Adil. (2024) Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels. IFAC-PapersOnLine
Academic article
Stadtmann, Florian; Furevik, Erik Rugaard; Rasheed, Adil; Kvamsdal, Trond. (2024) Physics-guided federated learning as an enabler for digital twins. Expert Systems With Applications
Academic article
Belay, Mohammed Ayalew; Rasheed, Adil; Salvo Rossi, Pierluigi. (2024) Multivariate Time Series Anomaly Detection via Low-Rank and Sparse Decomposition. IEEE Sensors Journal
Academic article
Belay, Mohammed Ayalew; Rasheed, Adil; Salvo Rossi, Pierluigi. (2024) MTAD: Multiobjective Transformer Network for Unsupervised Multisensor Anomaly Detection. IEEE Sensors Journal
Academic article
Brandis, Andreas von; Menges, Daniel; Rasheed, Adil. (2024) Multi-Target Tracking for Autonomous Surface Vessels Using LiDAR and AIS Data Integration. Applied Ocean Research
Academic article
Belay, Mohammed Ayalew; Rasheed, Adil; Salvo Rossi, Pierluigi. (2024) Sparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly Detection. IEEE Signal Processing Letters
Academic article
Føre, Martin; Alver, Morten Omholt; Alfredsen, Jo Arve; Rasheed, Adil; Hukkelås, Thor; Bjelland, Hans Vanhauwaert. (2024) Digital Twins in intensive aquaculture — Challenges, opportunities and future prospects. Computers and Electronics in Agriculture
Academic literature review
Gupta, Prateek; Rasheed, Adil; Steen, Sverre. (2024) Correlation-based outlier detection for ships’ in-service datasets. Journal of Big Data
Academic article
Alshantti, Abdallah A S; Varagnolo, Damiano; Rasheed, Adil; Rahmati, Aria; Westad, Frank. (2024) CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis. IEEE Access
Academic article
Bjørkøy, Håvard Bjørgan; Engmark, Hans Alvar; Rasheed, Adil; Varagnolo, Damiano. (2023) Regularization when modeling with biased simulation data as a prior. IFAC-PapersOnLine
Academic article
Larsen, Thomas Nakken; Hansen, Hannah; Rasheed, Adil. (2023) Risk-based Convolutional Perception Models for Collision Avoidance in Autonomous Marine Surface Vessels using Deep Reinforcement Learning. IFAC-PapersOnLine
Academic article
Haugstvedt, Emil Johannesen; Mino Calero, Alberto; Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy. (2023) A Comparative Study of Sparsity Promoting Techniques in Neural Network for Modeling Non-Linear Dynamics. IEEE Access
Academic article
Tabib, Mandar Vasudeo; Skaret, Kristoffer; Bruaset, Endre; Rasheed, Adil. (2023) Data-Driven Spatio-Temporal Modelling and Optimal Sensor Placement for a Digital Twin Set-Up. Engineering Proceedings
Academic article
Belay, Mohammed Ayalew; Blakseth, Sindre Stenen; Rasheed, Adil; Salvo Rossi, Pierluigi. (2023) Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions. Sensors
Academic article
Keilegavlen, Eirik; Fonn, Eivind; Johannessen, Kjetil Andre; Eikehaug, Kristoffer; Both, Jakub Wiktor; Fernø, Martin. (2023) PoroTwin: A Digital Twin for a FluidFlower Rig. Transport in Porous Media
Academic article
Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy; Halvorsen, Ivar Johan. (2023) Sparse deep neural networks for modeling aluminum electrolysis dynamics. Applied Soft Computing
Academic article
Ahmed, Shady E; San, Omer; Rasheed, Adil; Iliescu, Traian; Veneziani, Alessandro. (2023) Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. SIAM Journal on Scientific Computing
Academic article
Wold, Jacob Wulff; Stadtmann, Florian; Rasheed, Adil; Tabib, Mandar Vasudeo; San, Omer; Horn, Jan-Tore Haugan. (2023) Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach. Engineering Applications of Artificial Intelligence
Academic article
Midjiyawa, Zakari; Venås, Jon Vegard; Kvamsdal, Trond; Kvarving, Arne Morten; Midtbø, Knut Helge; Rasheed, Adil. (2023) Nested computational fluid dynamic modeling of mean turbulent quantities estimation in complex topography using AROME-SIMRA. Journal of Wind Engineering and Industrial Aerodynamics
Academic article
Stadtmann, Florian; Rasheed, Adil; Kvamsdal, Trond; Johannessen, Kjetil Andre; San, Omer; Kölle, Konstanze. (2023) Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. IEEE Access
Academic article
Lundby, Erlend Torje Berg; Robinson, Haakon; Rasheed, Adil; Halvorsen, Ivar Johan; Gravdahl, Jan Tommy. (2023) Sparse Neural Networks with Skip-Connections for Identification of Aluminum Electrolysis Cell. IEEE Conference on Decision and Control. Proceedings
Academic article
Robinson, Haakon; Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy. (2023) Deep learning assisted physics-based modeling of aluminum extraction process. Engineering Applications of Artificial Intelligence
Academic article
Stadtmann, Florian; Rasheed, Adil; Rasmussen, Tore. (2023) Standalone, Descriptive, and Predictive Digital Twin of an Onshore Wind Farm in Complex Terrain . Journal of Physics: Conference Series (JPCS)
Academic article
Menges, Daniel; Rasheed, Adil. (2023) An environmental disturbance observer framework for autonomous surface vessels. Ocean Engineering
Academic article
Gupta, Prateek; Kim, YoungRong; Steen, Sverre; Rasheed, Adil. (2023) Streamlined semi-automatic data processing framework for ship performance analysis. International Journal of Naval Architecture and Ocean Engineering
Academic article
Pawar, Suraj; San, Omer; Rasheed, Adil; Vedula, Prakash. (2023) Frame invariant neural network closures for Kraichnan turbulence. Physica A: Statistical Mechanics and its Applications
Academic article
Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer. (2022) Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. Applied Soft Computing
Academic article
Tabib, Mandar; Tsiolakis, Vasileios; Pawar, Suraj; Ahmed, Shady E.; Rasheed, Adil; Kvamsdal, Trond. (2022) Hybrid deep-learning POD-based parametric reduced order model for flow around wind-turbine blade. Journal of Physics: Conference Series (JPCS)
Academic article
San, Omer; Pawar, Suraj; Rasheed, Adil. (2022) Prospects of federated machine learning in fluid dynamics. AIP Advances
Academic article
Zhang, Wanwan; Vatn, Jørn; Rasheed, Adil. (2022) A review of failure prognostics for predictive maintenance of offshore wind turbines. Journal of Physics: Conference Series (JPCS)
Academic article
Larsen, Thomas Nakken; Busetto, Riccardo; Varagnolo, Damiano; Formentin, Simone; Rasheed, Adil. (2022) A receding horizon approach for curriculum management in higher education. IFAC-PapersOnLine
Academic article
Elfarri, Elias Mohammed; Rasheed, Adil; San, Omer. (2022) Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality. IEEE Access
Academic article
Robinson, Haakon; Pawar, Suraj; Rasheed, Adil; San, Omer. (2022) Physics guided neural networks for modelling of non-linear dynamics. Neural Networks
Academic article
San, Omer; Pawar, Suraj; Rasheed, Adil. (2022) Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems. Scientific Reports
Academic article
San, Omer; Pawar, Suraj; Rasheed, Adil. (2022) Decentralized digital twins of complex dynamical systems. Scientific Reports
Academic article
Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer. (2022) Deep neural network enabled corrective source term approach to hybrid analysis and modeling. Neural Networks
Academic article
Gupta, Prateek; Rasheed, Adil; Steen, Sverre. (2022) Ship performance monitoring using machine-learning. Ocean Engineering
Academic article
Pawar, Suraj; San, Omer; Vedula, Prakash; Rasheed, Adil; Kvamsdal, Trond. (2022) Multi-fidelity information fusion with concatenated neural networks. Scientific Reports
Academic article
Heiberg, Amalie; Larsen, Thomas Nakken; Meyer, Eivind; Rasheed, Adil; San, Omer; Varagnolo, Damiano. (2022) Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. Neural Networks
Academic article
Tabib, Mandar; Pawar, Suraj; Ahmed, Shady E; Rasheed, Adil; San, Omer. (2021) A non-intrusive parametric reduced order model for urban wind flow using deep learning and Grassmann manifold. Journal of Physics: Conference Series (JPCS)
Academic article
Tabib, Mandar; Midtbø, Knut Helge; Rasheed, Adil; Kvamsdal, Trond; Skaslien, Tor. (2021) A nested multi-scale model for assessing urban wind conditions : Comparison of Large Eddy Simulation versus RANS turbulence models when operating at the finest scale of the nesting. Journal of Physics: Conference Series (JPCS)
Academic article
Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil. (2021) Hybrid analysis and modeling for next generation of digital twins. Journal of Physics: Conference Series (JPCS)
Academic article
Tsiolakis, Vasileios; Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Brummelen, Harald van. (2021) Reduced order models for finite-volume simulations of turbulent flow around wind-turbine blades. Journal of Physics: Conference Series (JPCS)
Academic article
Pawar, Suraj; San, Omer; Rasheed, Adil; Navon, Ionel M.. (2021) A nonintrusive hybrid neural-physics modeling of incomplete dynamical systems: Lorenz equations. GEM - International Journal on Geomathematics
Academic article
Pawar, Suraj; San, Omer; Nair, Aditya; Rasheed, Adil; Kvamsdal, Trond. (2021) Model fusion with physics-guided machine learning: Projection-based reduced-order modeling. Physics of Fluids
Academic article
Larsen, Thomas Nakken; Teigen, Halvor Ødegård; Laache, Torkel; Varagnolo, Damiano; Rasheed, Adil. (2021) Comparing Deep Reinforcement Learning Algorithms’ Ability to Safely Navigate Challenging Waters. Frontiers in Robotics and AI
Academic article
Stavelin, Peter Herman; Rasheed, Adil; San, Omer; Hestnes, Arne Johan. (2021) Applying Object Detection to Marine Data and Exploring Explainability of a Fully Convolutional Neural Network Using Principal Component Analysis. Ecological Informatics
Academic article
Alshantti, Abdallah Anis Sameer; Rasheed, Adil. (2021) Self-organising map based framework for investigating accounts suspected of money laundering. Frontiers in Artificial Intelligence
Academic article
Ahmed, Shady E; Pawar, Suraj; San, Omer; Rasheed, Adil; Trian, Iliescu; Noack, Bernd R.. (2021) On closures for reduced order models— A spectrum of first-principle to machine-learned avenues. Physics of Fluids
Academic article
Ahmed, Shady E; San, Omer; Rasheed, Adil; Iliescu, Traian. (2021) Nonlinear proper orthogonal decomposition for convection-dominated flows. Physics of Fluids
Academic article
Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy; Halvorsen, Ivar Johan. (2021) A novel hybrid analysis and modeling approach applied to aluminum electrolysis process. Journal of Process Control
Academic article
Sundby, Tiril; Graham, Julia Maria; Rasheed, Adil; Tabib, Mandar; San, Omer. (2021) Geometric Change Detection in Digital Twins. Digital
Academic article
San, Omer; Rasheed, Adil; Kvamsdal, Trond. (2021) Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution. GAMM-Mitteilungen
Academic article
Gupta, Prateek; Taskar, Bhushan; Steen, Sverre; Rasheed, Adil. (2021) Statistical modeling of Ship’s hydrodynamic performance indicator. Applied Ocean Research
Academic article
Ahmed, Shady E; Pawar, Suraj; San, Omer; Rasheed, Adil; Tabib, Mandar. (2021) A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction. Computers & Fluids
Academic article
Ahmed, Shady E; San, Omer; Kara, Kursat; Younis, Rami; Rasheed, Adil. (2021) Multifidelity computing for coupling full and reduced order models. PLOS ONE
Academic article
Pawar, Suraj; San, Omer; Rasheed, Adil; Vedula, Prakash. (2020) A priori analysis on deep learning of subgrid-scale parameterizations for Kraichnan turbulence. Theoretical and Computational Fluid Dynamics
Academic article
Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil. (2020) Data-driven recovery of hidden physics in reduced order modeling of fluid flows. Physics of Fluids
Academic article
Ahmed, Shady E; San, Omer; Rasheed, Adil; Trian, Iliescu. (2020) A long-short term memory for hybrid uplifted reduced order models. Physica D : Non-linear phenomena
Academic article
Havenstrøm, Simen Theie; Sterud, Camilla; Rasheed, Adil; San, Omer. (2020) Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles. arXiv.org
Academic article
Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond. (2020) Numerical assessment of RANS turbulence models for the development of data driven Reduced Order Models. Ocean Engineering
Academic article
Tran, Duy Tan; Robinson, Haakon; Rasheed, Adil; San, Omer; Tabib, Mandar; Kvamsdal, Trond. (2020) GANs enabled super-resolution reconstruction of wind field. Journal of Physics: Conference Series (JPCS)
Academic article
Fonn, Eivind; van Brummelen, Harald; Kvamsdal, Trond; Rasheed, Adil. (2020) Fast divergence-conforming reduced basis methods for stationary and transient flow problems. Journal of Physics: Conference Series (JPCS)
Academic article
Meyer, Eivind; Robinson, Haakon; Rasheed, Adil; San, Omer. (2020) Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning. IEEE Access
Academic article
Vaddireddy, Harsha; Rasheed, Adil; Staples, Anne; San, Omer. (2020) Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data. Physics of Fluids
Academic article
Rasheed, Adil; San, Omer; Kvamsdal, Trond. (2020) Digital Twin: Values, Challenges and Enablers from a modelling perspective. IEEE Access
Academic article
Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil; Navon, Ionel M. (2020) Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows. Physics of Fluids
Academic article
Ahmed, Shady E; Pawar, Suraj; San, Omer; Rasheed, Adil. (2020) Reduced order modeling of fluid flows: Machine learning, Kolmogorov barrier, closure modeling, and partitioning. AIAA Journal
Academic article
Havenstrøm, Simen Theie; Rasheed, Adil; San, Omer. (2020) Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles. Frontiers in Robotics and AI
Academic article
Ahmed, Shady E; San, Omer; Kara, Kursat; Younis, Rami; Rasheed, Adil. (2020) Interface learning of multiphysics and multiscale systems. Physical Review E (PRE)
Academic article
Ahmed, Shady E; Bhar, Kinjal; San, Omer; Rasheed, Adil. (2020) Forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reduction. Physical Review E (PRE)
Academic article
Meyer, Eivind; Heiberg, Amalie; Rasheed, Adil; San, Omer. (2020) COLREG-compliant collision avoidance for unmanned surface vehicle using deep reinforcement learning. IEEE Access
Academic article
Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil. (2020) An evolve-then-correct reduced order model for hidden fluid dynamics. Mathematics
Academic article
Pawar, Suraj; San, Omer; Aksoylu, Burak; Rasheed, Adil; Kvamsdal, Trond. (2020) Physics guided machine learning using simplified theories. Physics of Fluids
Academic article
Elsetrønning, Andrine; Rasheed, Adil; Bekker, Jon; San, Omer. (2020) On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification. arXiv
Academic article
Fonn, Eivind; Brummelen, Harald van; Kvamsdal, Trond; Rasheed, Adil. (2019) Fast divergence-conforming reduced basis methods for steady Navier–Stokes flow. Computer Methods in Applied Mechanics and Engineering
Academic article
Siddiqui, Muhammad Salman; Fonn, Eivind; Kvamsdal, Trond; Rasheed, Adil. (2019) Finite-Volume High-Fidelity Simulation Combined with Finite-Element-Based Reduced-Order Modeling of Incompressible Flow Problems. Energies
Academic article
Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond. (2019) Validation of the numerical simulations of flow around a scaled-down turbine using experimental data from wind tunnel. Wind and Structures
Academic article
Ahmed, Shady E; Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil; Navon, Ionel M. (2019) Memory embedded non-intrusive reduced order modeling of non-ergodic flows. Physics of Fluids
Academic article
Robinson, Haakon; Rasheed, Adil; San, Omer. (2019) Dissecting Deep Neural Networks. arXiv.org
Academic article
Siddiqui, Muhammad Salman; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond. (2019) Numerical investigation of modeling frameworks and geometric approximations on NREL 5 MW wind turbine. Renewable Energy
Academic article
Siddiqui, Muhammad Salman; Kvamsdal, Trond; Rasheed, Adil. (2019) High Fidelity Computational Fluid Dynamics Assessment of Wind Tunnel Turbine Test. Journal of Physics: Conference Series (JPCS)
Academic article
Pawar, Suraj; Rahman, Sk. Mashfiqur; Vaddireddy, H; San, Omer; Rasheed, Adil; Vedula, Prakash. (2019) A deep learning enabler for non-intrusive reduced order modeling of fluid flows. Physics of Fluids
Academic article
Rahman, Sk. Mashfiqur; Pawar, Suraj; San, Omer; Rasheed, Adil; Iliescu, Traian. (2019) Nonintrusive reduced order modeling framework for quasigeostrophic turbulence. Physical Review E (PRE)
Academic article
Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash. (2018) Data-driven deconvolution for large eddy simulations of Kraichnan turbulence. Physics of Fluids
Academic article
Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil. (2018) A Hybrid Approach for Model Order Reduction of Barotropic Quasi-Geostrophic Turbulence. Fluids
Academic article
Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil. (2018) A Hybrid Analytics Paradigm Combining Physics-Based Modeling and Data-Driven Modeling to Accelerate Incompressible Flow Solvers. Fluids
Academic article
Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash. (2018) Subgrid modelling for two-dimensional turbulence using neural networks. Journal of Fluid Mechanics
Academic article
Tabib, Mandar; Løvvik, Ole Martin; Johannessen, Kjetil Andre; Rasheed, Adil; Sagvolden, Espen; Rustad, Anne Marthine. (2018) Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges. Lecture Notes in Computer Science (LNCS)
Academic article
Tabib, Mandar; Siddiqui, Muhammad Salman; Fonn, Eivind; Rasheed, Adil; Kvamsdal, Trond. (2017) Near wake region of an industrial scale wind turbine: comparing LES-ALM with LES-SMI simulations using data mining (POD). Journal of Physics: Conference Series (JPCS)
Academic article
Tabib, Mandar; Rasheed, Adil; Priya Uteng, Tanu. (2017) Methodology for assessing cycling comfort during a smart city development. Energy Procedia
Academic article
Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond; Tabib, Mandar. (2017) Quasi-Static & Dynamic Numerical Modeling of Full Scale NREL 5MW Wind Turbine. Energy Procedia
Academic article
Rasheed, Adil; Süld, Jakob Kristoffer; Tabib, Mandar; Kvamsdal, Trond; Kristiansen, Jørn. (2017) Demonstrating the impact of bidirectional coupling on the performance of an ocean-met model. Energy Procedia
Academic article
Fonn, Eivind; Tabib, Mandar; Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond. (2017) A step towards reduced order modelling of flow characterized by wakes using Proper Orthogonal Decomposition. Energy Procedia
Academic article
Tabib, Mandar; Rasheed, Adil; Siddiqui, Muhammad Salman; Kvamsdal, Trond. (2017) A full-scale 3D Vs 2.5D Vs 2D analysis of flow pattern and forces for an industrial-scale 5MW NREL reference wind-turbine. Energy Procedia
Academic article
Tabib, Mandar; Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond. (2017) Industrial scale turbine and associated wake development-comparison of RANS based Actuator Line Vs Sliding Mesh Interface Vs Multiple Reference Frame method. Energy Procedia
Academic article
Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond; Tabib, Mandar. (2017) Influence of Tip Speed Ratio on Wake Flow Characteristics Utilizing Fully Resolved CFD Methodology. Journal of Physics: Conference Series (JPCS)
Academic article
Siddiqui, Muhammad Salman; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond. (2016) Numerical analysis of NREL 5MW wind turbine: a study towards a better understanding of wake characteristic and torque generation mechanism. Journal of Physics: Conference Series (JPCS)
Academic article
Fuchs, Franz Georg; Rasheed, Adil; Tabib, Mandar; Fonn, Eivind. (2016) Wake modeling in complex terrain using a hybrid Eulerian-Lagrangian Split Solver. Journal of Physics: Conference Series (JPCS)
Academic article
Tabib, Mandar; Rasheed, Adil; Fuchs, Franz Georg. (2016) Analyzing complex wake-terrain interactions and its implications on wind-farm performance. Journal of Physics: Conference Series (JPCS)
Academic article
Nordanger, Knut; Rasheed, Adil; Okstad, Knut Morten; Kvarving, Arne Morten; Holdahl, Runar; Kvamsdal, Trond. (2016) Numerical benchmarking of fluid–structure interaction: An isogeometric finite element approach. Ocean Engineering
Academic article
Rasheed, Adil; Tabib, Mandar. (2016) Flow characterization in Complex Terrain for Aviation Safety. World Academy of Science, Engineering and Technology
Academic article
Nordanger, Knut; Holdahl, Runar; Kvarving, Arne Morten; Rasheed, Adil; Kvamsdal, Trond. (2015) Implementation and comparison of three isogeometric Navier–Stokes solvers applied to simulation of flow past a fixed 2D NACA0012 airfoil at high Reynolds number. Computer Methods in Applied Mechanics and Engineering
Academic article
Shabnam, Adiba; Rasheed, Adil. (2015) Investigation of the influence of 5-HT1A R agonist and 5-HT2A/2C R agonist in m-RNA expression of AMPA-R GABA-Aα1 R and BDNF in HT-22 cells of mice using PCR and statistical technique. Journal of Applied & Computational Mathematics
Abstract
Fonn, Eivind; Rasheed, Adil; Kvarving, Arne Morten; Kvamsdal, Trond. (2015) Spline based Mesh Generator for high fidelity simulation of flow around turbine blades. Energy Procedia
Academic article
Süld, Jakob Kristoffer; Rasheed, Adil; Kristiansen, Jørn; Sætra, Øyvind; Carrasco, Ana; Kvamsdal, Trond. (2015) Mesoscale numerical modelling of met-ocean interactions. Energy Procedia
Academic article
Tabib, Mandar; Rasheed, Adil; Kvamsdal, Trond. (2015) Investigation of the impact of wakes and stratification on the performance of an onshore wind farm. Energy Procedia
Academic article
Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond; Tabib, Mandar. (2015) Effect of turbulence intensity on the performance of an offshore vertical axis wind turbine. Energy Procedia
Academic article
van Opstal, Timo Matteo; Fonn, Eivind; Holdahl, Runar; Kvamsdal, Trond; Kvarving, Arne Morten; Mathisen, Kjell Magne. (2015) Isogeometric methods for CFD and FSI-simulation of flow around turbine blades. Energy Procedia
Academic article
Tabib, Mandar; Rasheed, Adil; Kvamsdal, Trond. (2015) LES and RANS simulation of onshore Bessaker wind farm: analyzing terrain and wake effects on wind farm performance. Journal of Physics: Conference Series (JPCS)
Academic article
Nordanger, Knut; Holdahl, Runar; Kvamsdal, Trond; Kvarving, Arne Morten; Rasheed, Adil. (2015) Simulation of airflow past a 2D NACA0015 airfoil using an isogeometric incompressible Navier-Stokes solver with the Spalart-Allmaras turbulence model. Computer Methods in Applied Mechanics and Engineering
Academic article
Rasheed, Adil; Holdahl, Runar; Kvamsdal, Trond; Åkervik, Espen. (2014) A Comprehensive Simulation Methodology for Fluid-Structure Interaction of Offshore Wind Turbines. Energy Procedia
Academic article
Rasheed, Adil; Süld, Jakob Kristoffer; Kvamsdal, Trond. (2014) A Multiscale Wind and Power Forecast System for Wind Farms. Energy Procedia
Academic article
Rasheed, Adil; Mushtaq, Asif. (2014) Numerical analysis of flight conditions at the Alta airport, Norway. Aviation
Academic article
Rasheed, Adil; Sørli, Karstein. (2013) CFD Analysis of Terrain Induced Turbulence at Kristiansand Airport, Kjevik. Aviation
Academic article
Rasheed, Adil; Robinson, Darren. (2013) Characterization of dispersive fluxes in Mesoscale models using LES of flow over an array of cubes. International Journal of Atmospheric Sciences
Academic article
Rasheed, Adil; Sørli, Karstein; Holdahl, Runar; Kvamsdal, Trond. (2012) A Multiscale Approach to Micrositing of Wind Turbines. Energy Procedia
Academic article
Rasheed, Adil; Robinson, Darren; Clappier, Alain; Narayanan, Chidambaram ; Lakehal, Djamel. (2011) Representing complex urban geometries in mesoscale modeling. International Journal of Climatology
Academic article

Artistic productions

Rasheed, Adil. (2014) Cover page of the proceedings of the Parallel CFD 2014 conference.
Visual Arts
Rasheed, Adil. (2013) Two paintings to be awarded to the winners of the Best Poster Award on the NOWITECH Day 2013.
Visual Arts

Books

Stadtmann, Florian; Mahalingam, Hary Pirajan; Rasheed, Adil. (2023) Data Integration Framework for Virtual Reality Enabled Digital Twins. IEEE 9th World Forum on Internet of Things (WF-IoT)
Academic anthology/Conference proceedings
Rasheed, Adil; San, Omer; Kvamsdal, Trond. (2019) Hybrid Analysis and Modeling as an enabler for Big Data Cybernetics. Proceedings of NSCM 32: The 32nd Nordic Seminar on Computational Mechanics (1)
Academic anthology/Conference proceedings

Part of book/report

Belay, Mohammed Ayalew; Rasheed, Adil; Salvo Rossi, Pierluigi. (2025) Autoregressive Density Estimation Transformers for Multivariate Time Series Anomaly Detection. IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
Stadtmann, Florian; Rasheed, Adil. (2024) Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Larsen, Thomas Nakken; Barlaug, Eirik Runde; Rasheed, Adil. (2024) Variational Autoencoders for Exteroceptive Perception in Reinforcement Learning-Based Collision Avoidance. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Menges, Daniel; Brandis, Andreas von; Rasheed, Adil. (2024) Digital Twin of Autonomous Surface Vessels for Safe Maritime Navigation Enabled Through Predictive Modeling and Reinforcement Learning. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Belay, Mohammed Ayalew; Rasheed, Adil; Salvo Rossi, Pierluigi. (2024) Self-Supervised Modular Architecture for Multi-Sensor Anomaly Detection and Localization. IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
Tabib, Mandar Vasudeo; Rasheed, Adil. (2024) Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comparisons and Generalization for Industrial Drilling Process . Springer
Academic chapter/article/Conference paper
Menges, Daniel; Rasheed, Adil. (2024) Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data. IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
Rasheed, Adil; Stadtmann, Florian; Fonn, Eivind; Tabib, Mandar Vasudeo; Tsiolakis, Vasileios; Panjwani, Balram. (2024) Digital Twin for Wind Energy: Latest Updates From the NorthWind Project. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Mino Calero, Alberto; Rasheed, Adil; Lekkas, Anastasios M.. (2024) An XAI Approach on the Capacity of Transformers to Learn Time Dependencies in Time Series Forecasting. International Academy, Research and Industry Association (IARIA)
Academic chapter/article/Conference paper
Bjørkøy, Håvard Bjørgan; Engmark, Hans Alvar; Rasheed, Adil; Varagnolo, Damiano. (2023) Regularization when modeling with biased simulation data as a prior. Elsevier
Academic chapter/article/Conference paper
Vaaler, Aksel; Robinson, Haakon Rennesvik; Tengesdal, Trym; Rasheed, Adil. (2023) Modular Collision Avoidance Using Predictive Safety Filters. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Tabib, Mandar Vasudeo; Nivlet, Philippe; Bjørkevoll, Knut Steinar; Skogestad, Jan Ole; Nybø, Roar; Rasheed, Adil. (2023) An Intrusive Hybrid-Analytics and Modelling with Deep-Learning for Efficient and Accurate Predictions of Hole-Cleaning Process during Wellbore Drilling Simulations. Society of Petroleum Engineers
Academic chapter/article/Conference paper
Zhang, Wanwan; Vatn, Jørn; Rasheed, Adil. (2023) Statistical analysis of offshore wind turbine failures. Research Publishing Services
Academic chapter/article/Conference paper
Tabib, Mandar Vasudeo; Nivlet, Philippe; Skogestad, Jan Ole; Nybø, Roar; Rasheed, Adil. (2023) A Hybrid Approach to Detect Bad Hole Cleaning . The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Nivlet, Philippe; Bjørkevoll, Knut Steinar; Tabib, Mandar Vasudeo; Skogestad, Jan Ole; Lund, Bjørnar; Nybø, Roar. (2023) Towards Real-Time Bad Hole Cleaning Problem Detection Through Adaptive Deep Learning Models. Society of Petroleum Engineers
Academic chapter/article/Conference paper
Stadtmann, Florian; Wassertheurer, Henrik Andreas Gusdal; Rasheed, Adil. (2023) Demonstration of a Standalone, Descriptive, and Predictive Digital Twin of a Floating Offshore Wind Turbine. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Menges, Daniel; Sætre, Simon Mork; Rasheed, Adil. (2023) Digital Twin for Autonomous Surface Vessels to Generate Situational Awareness. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Jain, Ravinder Praveen Kumar; Brekke, Edmund Førland; Rasheed, Adil. (2022) Unsupervised Clustering of Marine Vessel Trajectories in Historical AIS Database. IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
Tabib, Mandar; Stene, Jon Kåre; Rasheed, Adil; Langeland, Ove; Gundersen, Frants Henrik. (2022) Machine Learning for Capacity Utilization Along the Routes of an Urban Freight Service. Springer
Academic chapter/article/Conference paper
Busetto, Riccardo; Larsen, Thomas Nakken; Rasheed, Adil; Varagnolo, Damiano; Formentin, Simone. (2022) A receding-horizon estimation and control framework for the content sequencing problem. IEEE conference proceedings
Academic chapter/article/Conference paper
Bjørkøy, Håvard; Engmark, Hans A.; Rasheed, Adil; Varagnolo, Damiano. (2022) Wienerization Based Control of Nonlinear Systems. IEEE conference proceedings
Academic chapter/article/Conference paper
Engmark, Hans Alvar; Bjørkøy, Håvard Bjørgan; Rasheed, Adil; Varagnolo, Damiano. (2022) Wienerization of systems in nonlinear control canonical normal form. IEEE conference proceedings
Academic chapter/article/Conference paper
Tabib, Mandar; Rasheed, Adil; Priya Uteng, Tanu. (2021) Machine learning with subsequent physics-based analytics for guiding transport planning. IEEE conference proceedings
Academic chapter/article/Conference paper
Tabib, Mandar; Midtbø, Knut Helge; Skaslien, Tor; Rasheed, Adil; Kvamsdal, Trond. (2020) Towards Understanding Wind Impact for Drone Operations: A Comparison of Wind Models Operating on Different Scales in a Nested Multiscale Set-Up. SINTEF akademisk forlag
Academic chapter/article/Conference paper
Tabib, Mandar; Rasheed, Adil; Kvamsdal, Trond. (2019) High-Resolution Cfd Modelling and Prediction of Terrain-Induced Wind Shear and Turbulence for Aviation Safety. International Center for Numerical Methods in Engineering (CIMNE)
Academic chapter/article/Conference paper
Gupta, Prateek; Steen, Sverre; Rasheed, Adil. (2019) Big Data Analytics As a Tool to Monitor Hydrodynamic Performance of a Ship. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Tabib, Mandar; Rasheed, Adil; Fonn, Eivind. (2017) A COMPUTATIONAL FRAMEWORK INVOLVING CFD AND DATA MINING TOOLS FOR ANALYZING DISEASE IN CAROTID ARTERY BIFURCATION. SINTEF akademisk forlag
Academic chapter/article/Conference paper
Fonn, Eivind; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond. (2017) A Step Towards a Reduced Order Modelling of Flow Characterized by Wakes Using Proper Orthogonal Decomposition. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Rasheed, Adil; Tabib, Mandar; Kristiansen, Jørn. (2017) Wind farm modeling in a realistic environment using a multiscale approach. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Siddiqui, Muhammad Salman; Rasheed, Adil; Tabib, Mandar; Fonn, Eivind; Kvamsdal, Trond. (2017) On interactions between wind turbines and the marine boundary layer. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Rasheed, Adil; Süld, Jakob Kristoffer; Tabib, Mandar. (2017) Effect of UNI- and bi-directional coupling of ocean-met interaction on significant wave height and local wind. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Siddiqui, Muhammad Salman; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond. (2017) Numerical Modeling Framework for Wind Turbine Analysis & Atmospheric Boundary Layer Interaction . American Institute of Aeronautics and Astronautics (AIAA)
Academic chapter/article/Conference paper
Tabib, Mandar; Rasheed, Adil; Fuchs, Franz Georg. (2017) Analysis of Unsteady Hydrodynamics Related to Vortex Induced Vibrations on Bluff-Bodied Offshore Structure. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Rasheed, Adil; Sørli, Karstein. (2014) A multiscale turbulence prediction and alert system for airports in hilly regions. IEEE conference proceedings
Academic chapter/article/Conference paper
Rasheed, Adil; Kvamsdal, Trond. (2014) Multiscale Wind Modeling. International Center for Numerical Methods in Engineering (CIMNE)
Academic chapter/article/Conference paper
Kvarving, Arne Morten; Holdahl, Runar; Kvamsdal, Trond; Rasheed, Adil. (2014) Parallel computations of air flow around wind turbine blades. International Center for Numerical Methods in Engineering (CIMNE)
Academic chapter/article/Conference paper
Rasheed, Adil; Robinson, Darren. (2011) The Urban Climate. Earthscan Publications Ltd.
Academic chapter/article/Conference paper

Report

Rasheed, Adil; Brandis, Andreas von. (2024) Multi-Target Tracking for Autonomous Surface Vessels: Fusing LiDAR and AIS Data in a Digital Twin Framework. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Masters thesis
Rasheed, Adil; Vaaler, Aksel; Husa, Svein Jostein. (2023) Safe Reinforcement Learning in Marine Navigation and Control: Using a Predictive Safety Filter for Safety Verification on Autonomous Surface Vessels. NTNU
Masters thesis
Blakseth, Sindre Stenen; Rasheed, Adil. (2021) Introducing CoSTA: A Deep Neural Network Enabled Approach to Improving Physics-Based Numerical Simulations. Norwegian University of Science and Technology
Masters thesis
Tabib, Mandar; Rasheed, Adil. (2021) Drone-based transport of biological material: Wind and turbulence prediction at OUS, Hospital for path planning. SINTEF Rapport (2021:00533)
Report
Heiberg, Amalie; Rasheed, Adil. (2020) COLREG-Compliance for Autonomous Surface Vehicles using Deep Reinforcement Learning. Norwegian University of Science and Technology
Masters thesis
Tran, Duyen; Rasheed, Adil. (2020) Convolutional Neural Network and Generative Adversarial Networks Enabled Resolution Enhancement of Numerical Simulations. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Masters thesis
Meyer, Eivind; Rasheed, Adil. (2020) On Course Towards Model-Free Guidance: A Self-Learning Approach To Dynamic Collision Avoidance for Autonomous Surface Vehicles. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Masters thesis
Nakken, Thomas; Rasheed, Adil. (2020) On the applicability of a perceptually driven generative-adversarial framework for super-resolution of wind fields in complex terrain. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Masters thesis
Vesterkjær, Eirik Ekjord; Rasheed, Adil. (2020) Combining Grid-Based Uncertainty Propagation and Neural Networks With Uncertainty Estimation. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Masters thesis
Tabib, Mandar; Rasheed, Adil. (2017) Machine learning based investigation of influence of weather on transport mobility. SINTEF Rapport (2017:00703)
Report
Rasheed, Adil; Tabib, Mandar; Fuchs, Franz Georg. (2016) Wake Vortex Micro-Scale Turbulence Prototype Development and Sensitivity Studies. SESAR 12.2.2
Report
Tabib, Mandar; Fuchs, Franz Georg; Rasheed, Adil. (2016) Report on wake vortex micro-scale turbulent airflow interaction methodologies. SESAR 12.2.2 Report
Report
Sørli, Karstein; Tabib, Mandar; Rasheed, Adil. (2015) Analysis of Turbulent Wakes Behind Helicopter Hangars at Sola Airport. SINTEF Rapport (A27048)
Report
Sørli, Karstein; Rasheed, Adil. (2013) Impact Assessment of Adverse Turbulence due to Landscape changes close to Airports. Mathematical and Software Tools for Terrain Modification and Impact Assessment. SINTEF Rapport (A25598)
Report
Sørli, Karstein; Rasheed, Adil. (2011) Terrain-forced Wind and Turbulence and Optimization of Local Domains and Grids for Terrain-induced Turbulence Forecast. SINTEF Rapport (A19928)
Report

Teaching

Courses

Supervision

Click here to see the previous and ongoing masters thesis

M1 Andreas Von Brandis, 2024, OMAE 2024 conference paper

M2 Eirik Runde Barlaug, 2024, OMAE 2024 conference paper

M3 Henrik Stokland Berg, 2024

M4 Jørgen Lind Fløystad, 2024

M5 Tobias Rotnes Aasen, 2024

M6 Elias Buø, 2024

M7 Magnus Selle, 2024

M8 Magnus Haaker, 2024

M9 Olea Linnea Andersson, 2024

M10 Shayan Tafrishi, 2024

M11 Pernille Sofie Pedersen, 2024

M12 Kristoffer Arlind, 2024

M13 Håvard Einarssønn Høymork, 2024, Conference paper

M14 Marte Eggen, 2024

M15 Hedda Nielsen Dale, 2024

M16 Albert Johannessen, Physics informed neural network, 2024

M17 Jacob Wulff Wold, GAN Based Super-Resolution of Near-Surface 3D Atmospheric Wind Flow with Physics Informed Loss Function, 2023, Journal article submitted

M18 Henrik Albin Larsson Hestnes, Machine Learning-Enabled Predictive Modeling of Building Perfor- mance for Electricity Optimization, 2023

M19 Aksel Vaaler, Safe Reinforcement Learning in Marine Navigation and Control: Using a Predictive Safety Filter for Safety Verification on Autonomous Surface Vessels, 2023, Journal article in Artificial Intelligence and OMAE Conference paper, Best MSc. thesis award from NFEA, Best Masters thesis (runnerup) from the OpenAI Lab

M20 Kristoffer Skare, Unleashing the Potential of AI-Driven Digital Twins A Framework for Research using a Sensor-Enhanced Greenhouse, 2023, Conference paper

M21 Endre Bruaset, Unleashing the Potential of AI-Driven Digital Twins A Framework for Research using a Sensor-Enhanced Greenhouse, 2023, Conference paper

M22 Kristian William Macdonald Gulaker, Object detection in EM2040 point clouds

M23 Eivind Dogger, Multi-agent reinforcement learning with graph neural networks for optimizing an industrial sorting system

M24 Emil Johannesen Haugstvedt, On the Potential of Utilizing Laboratory-Scale Experimental Setup as Proxy For Real-Life Applications: Time Series Analysis and Prediction for Hole Cleaning, 2023, Journal article published in IEEE Access, Another journal article in preparation

M25 Eirik Rugaard Furevik, Physics-guided neural networks for aerodynamic characterization of wind turbines, Journal paper submitted

M26 Henrik Andreas Gusdal Wassertheurer, Developing a predictive digital twin of a wind farm , 2023

M27 Ørjan Carlsen, Merging Classical Control and Deep Reinforcement Learning for Dynamic Collision Avoidance for a Quadcopter, 2023

M28 Svein Jostein Husa, Safe Reinforcement Learning in Marine Navigation and Control: Using a Pre- dictive Safety Filter for Safety Verification on Autonomous Surface Vessels, 2023, Journal article in Artificial Intelligence, Best MSc. thesis award from NFEA, Best Masters thesis (runnerup) from the OpenAI Lab

M29 Jannani JohanRaj, Improving Credit Management Practices: A Transdisciplinary Approach to Op- timizing Risk and Profitability, 2023

M30 Marthe Aaberg, Improving Credit Management Practices: A Transdisciplinary Approach to Opti- mizing Risk and Profitability, 2023

M31 Kristian Brudeli, Path-following and Collision Avoidance using World Models, 2023

M32 Sondre Sorbø, Corrective Source Term Approach for improving Erroneous Physics-Based Models, 2022, Journal article in Applied Soft Computing

M33 Simon Mork Sætre, Laying The Foundation For an Artificial Intelligence-Powered Extendable Digital Twin Framework For Autonomous Sea Vessels, 2022, OMAE Conference paper

M34 Marcus Skagemo, Stacking classifiers for improved order execution

M35 Ludvig Løken Sundøen, Path Following for Quadcopters using Deep Reinforcement Learning

M36 Lars Gjardar Musæus, Fractal Analysis and Its Application on Time-Series Data – An Innovative Method for Condition Monitoring of Hole Cleaning Operations, 2022

M37 Elias Mohammed Elfarri, Digital Twin of a Building Powered by Artificial Intelligence and Demon- strated in Virtual Reality, Tekna Award for project idea

M38 Annfrid Hopland Myklebust, Building a digital twin of the thermodynamic behaviour of a building using hybrid modeling, 2022

M39 Anne Willkommen Eiken, Position Alignment and Geographical Location Determination of Railway Track Condition Monitoring Data, Best Master’s thesis award from BaneNor

M40 Katarina Charlotte Guderud, Predicting feeding patterns in aquaculture

M41 Viljer Ness, Simulating Ordinary Differential Equations using the Physics-Guided Machine Learning Framework, 2021

M42 Vebjørn Malmin, Reinforcement Learning and Predictive Safety Filtering for Floating Offshore Wind Turbine Control, 2021

Special projects

M43 Andrine Elsetrønning, Generalized workflow with uncertainty quantification for detecting abnormal- ities in lung sounds, 2021

M44 Julia Marie Graham, Geometric change detection in the context of Digital Twin, leveraging Dynamic Mode Decomposition, Object Detection and innovations in 3D technology, Journal article in Digital

M45 Marie Skatvedt, Sea bottom detection using Doppler Velocity Logger, 2021

M46 Torkel Laache, Physics Guided Machine Learning: Injecting neural networks with simplified theories, 2021, Journal article in Frontiers in Robotics and AI

M47 Halvor Ødegard Teigen, Reinforcement Learning and Predictive Safety Filtering for Floating Off- shore Wind Turbine Control, 2021, Journal article in Frontiers in Robotics and AI

M48 Ole-Jørgen Hannestad, Securing trust in AI systems through increased explainability: linking Nor- wegian organizations’ challenges in regards to eXplainable Artificial Intelligence (XAI) with a 2021 view on relevant techniques and methods, 2021

M49 Bendik Austnes, Increasing Validity and Uncovering Utility in Machine Learning Studies – An Il- lustrative Approach to Essential Concepts and Procedures in Model Development and Assessment, 2021

M50 Olav Landmark Pedersen, A proof-of-concept Digital Twin implementation for monitoring patients through the Clinical Pathway for Prostate Cancer in the Norwegian Health and Care Service, 2021

M51 Fredrik Pettersen, Making a digital twin of a heterogeneous rod under transient heat transfer

M52 Sindre Stenen Blakseth, Introducing CoSTA: A Deep Neural Network Enabled Approach to Improv- ing Physics-Based Numerical Simulations, 2021, Best Masters thesis award from the Norwe- gian Open AI Lab, 2 Journal articles in Neural Networks and Applied Soft Computing

M53 Tiril Sundby, Towards Geometric Change Detection in Digital Twins using Dynamic Mode Decom- position, Object Detection and 3D Machine Learning, 2020, Journal article in Digital

M54 Daniel Nakken, A strategy controller for concave obstacle avoidance, 2020

M55 Thomas Nakken, On the applicability of a perceptually driven generative-adversarial framework for super-resolution of wind fields in complex terrain, 2020

M56 Eivind Meyer, On Course Towards Model-Free Guidance: A Self-Learning Approach To Dynamic Collision Avoidance for Autonomous Surface Vehicles, 2020, Best Masters thesis award from the Norwegian Open AI Lab, 2 Journal Articles in IEEE Access

M57 Eirik E. Vesterkjær, Combining grid-based uncertainty propagation and neural networks with un- certainty estimation, 2020

M58 Herman Stavelin, Biomass estimation using sonar and machine learning, 2020, Journal Article in Ecological Informatics

M59 Duy Tan Tran, Convolutional Neural Network and Generative Adversarial Networks Enabled Res- olution Enhancement of Numerical Simulations, 2020, Best poster award at the Deep Wind Conference

M60 Simen Theie Havenstrom, From Beginner to Expert: Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles, 2019-2020, Journal Article in Frontiers in Robotics and AI

M61 Amalie Heiberg, Risk-based reinforcement learning for path following and collision avoidance, 2019- 2020, Journal Article in Neural Networks

M62 Haakon Robinson, On the Piecewise Affine Representation of Neural Networks, 2019, Runner-up best Masters thesis award from the Norwegian Open AI Lab

Outreach

2024

Academic lecture

Rasheed, Adil. (2024) Digital Twins in Wind Energy. LEADVENT 5th Edition Windpower Data and Digital Innovation Forum , Berlin 2024-03-05 - 2024-03-06
Poster

Menges, Daniel; Rasheed, Adil. (2024) Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data. IEEE IEEE Conference on Artificial Intelligence , Singapore 2024-06-25 - 2024-06-27
Academic lecture

Rasheed, Adil. (2024) Trustworthy AI for Sustainable Marine and Offshore Systems. 43rd International Conference on Ocean, Offshore & Arctic Engineering , Singapore 2024-06-10 - 2024-06-10
Academic lecture

Menges, Daniel; Von Brandis, Andreas; Rasheed, Adil. (2024) Digital Twin of Autonomous Surface Vessels for Safe Maritime Navigation Enabled through Predictive Modeling and Reinforcement Learning. 43rd International Conference on Ocean, Offshore & Arctic Engineering 2024-06-09 - 2024-06-14
Poster

Menges, Daniel; Rasheed, Adil. (2024) Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels. IFAC 8th IFAC Conference on Nonlinear Model Predictive Control (NMPC) , Kyoto (Japan) 2024-08-21 - 2024-08-24

2023

Academic lecture

Stadtmann, Florian; Mahalingam, Hary Pirajan; Rasheed, Adil. (2023) Data Integration Framework for Virtual Reality Enabled Digital Twins. IEEE IEEE 9th World Forum on Internet of Things , Aveiro, Portugal 2023-10-12 - 2023-10-27
Lecture

Lundby, Erlend Torje Berg; Robinson, Haakon Rennesvik; Rasheed, Adil; Gravdahl, Jan Tommy; Halvorsen, Ivar Johan. (2023) Sparse neural networks with skip-connections for identification of aluminum electrolysis cell. IEEE Control Systems Society IEEE CDC 2023 , Singapore 2023-12-12 - 2023-12-15
Academic lecture

Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Tsiolakis, Vasileios. (2023) Enabling Technologies for Predictive Digital Twins. INRIA-LJLL Seminar INRIA-LJLL Seminar , Paris 2023-11-06 - 2023-11-06
Academic lecture

Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Tsiolakis, Vasileios; Eftang, Jens Lohne; Brummelen, Harald van. (2023) Enabling Technologies for Predictive Digital Twins. Conservatoire national des arts et metiers (CNAM) Conservatoire national des arts et metiers (CNAM) , Paris 2023-12-13 - 2023-12-13
Academic lecture

Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Tsiolakis, Vasileios; Brummelen, Harald van. (2023) Digital Twins as an enabling technology for disruptive improvement of computational methods in marine engineering. Technical University of Madrid X International Conference on Computational Methods in Marine Engineering , Madrid 2023-06-27 - 2023-06-29
Academic lecture

Kvamsdal, Trond; Fonn, Eivind; Rasheed, Adil; Tsiolakis, Vasileios; Brummelen, Harald van. (2023) Reduced Order Modelling (ROM) and Hybrid Analysis and Modelling (HAM) as Enablers for Predictive Digital Twins (DT). M2P 2023 Politecnico di Milano; Universitat Politecnica de Catalunya , Taormina, Sicily, Italy 2023-05-30 - 2023-06-01
Lecture

Keilegavlen, Eirik; Fonn, Eivind; Johannessen, Kjetil; Eikehaug, Kristoffer; Both, Jakub Wiktor; Fernø, Martin. (2023) PoroTwin: A Digital Twin for a Meter-Scale Porous Media. SIAM / UiB SIAM Conference on Mathematical & Computational Issues in the Geosciences , Bergen 2023-06-19 - 2023-06-22
Academic lecture

Tsiolakis, Vasileios; Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Brummelen, Harald van. (2023) Coupled reduced order model components for flow problems. National Technical University of Athens Coupled Problems 2023: X International Conference on Computional Methods for Coupled Problems in Science and Engineering , Chania 2023-06-05 - 2023-06-07
Academic lecture

Kvamsdal, Trond; Rasheed, Adil; Tsiolakis, Vasileios; Brummelen, Harald van. (2023) Enabling technology for predictive digital twins. University of Jyväskylä; Jamk University of Applied Science CM3-TRANSPORT 2023 , Jyväskylä 2023-05-15 - 2023-05-17
Academic lecture

Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Tsiolakis, Vasileios; Eftang, Jens Lohne; Brummelen, Harald van. (2023) Enabling Technologies for Predictive Digital Twins. Ecole nationale Superieure d'Arts et Metiers (ENSAM) Ecole nationale Superieure d'Arts et Metiers (ENSAM) 2023-12-13 - 2023-12-13
Academic lecture

Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Tsiolakis, Vasileios; Brummelen, Harald van. (2023) Hybrid Analysis and Modelling to Enable Digital Twins. NTNU III International Conference on Computational Science and AI in Industry (CSAI 2023) , Trondheim 2023-08-28 - 2023-08-30
Academic lecture

Both, Jakub Wiktor; Keilegavlen, Eirik; Nordbotten, Jan Martin; Eikehaug, Kristoffer; Fernø, Martin; Kvamsdal, Trond. (2023) PoroTwin: A Digital Twin for a Meter-Scale Porous Medium. SIAM SIAM CSE 2023 , Amsterdam 2023-02-27 - 2023-03-03
Poster

Nivlet, Philippe; Bjørkevoll, Knut Steinar; Tabib, Mandar Vasudeo; Skogestad, Jan Ole; Lunde, Bjørnar; Nybø, Roar. (2023) Towards Real-Time Bad Hole Cleaning Problem Detection Through Adaptive Deep Learning Models. SPE Middle East Oil, Gas and Geosciences Show , Manama, Bahrein 2023-02-19 - 2023-02-21
Poster

Tabib, Mandar Vasudeo; Nivlet, Philippe; Bjørkevoll, Knut Steinar; Skogestad, Jan Ole; Nybø, Roar; Rasheed, Adil. (2023) An Intrusive Hybrid-Analytics and Modelling with Deep-Learning for Efficient and Accurate Predictions of Hole-Cleaning Process during Wellbore Drilling Simulations. SPE SPE EuropEC - Europe Energy Conference featured at the 84th EAGE Annual Conference & Exhibition , Vienna, Austria 2023-06-05 - 2023-06-08
Academic lecture

Vaaler, Aksel; Robinson, Haakon Rennesvik; Tengesdal, Trym; Rasheed, Adil. (2023) Modular Collision Avoidance Using Predictive Safety Filters . ASME OMAE 2023 42nd International Conference on Ocean, Offshore & Arctic Engineering , Melbourne, Australia 2023-06-11 - 2023-06-16
Academic lecture

Tabib, Mandar Vasudeo; Nivlet, Philippe; Skogestad, Jan Ole; Nybø, Roar; Rasheed, Adil. (2023) A Hybrid Approach to Detect Bad Hole Cleaning . ASME OMAE 2023 42nd International Conference on Ocean, Offshore & Arctic Engineering , Melbourne, Australia 2023-06-11 - 2023-06-16
Poster

Stadtmann, Florian; Rasheed, Adil. (2023) Digital Twins - Framework, Industry Perspective, and Prototypes. EERA DeepWind 2023 2023-01-18 - 2023-01-20
Popular scientific lecture

Tabib, Mandar Vasudeo; Rasheed, Adil. (2023) Hybrid Analytics and Modellling Applications in Fluid Flow: Case Study - Wind Energy, Drilling, Greenhouse and Urban City. . NTNU CSAI,2023 , Trondheim 2023-08-28 - 2023-08-30
Academic lecture

Rasheed, Adil. (2023) Digital Twinning of Autonomous Systems. European Community on Computational Methods in Applied Sciences International Conference on Computational Science and AI in Industry , Trondheim 2023-08-28 - 2023-08-30
Academic lecture

Menges, Daniel; Rasheed, Adil. (2023) Digital Twin for Autonomous Surface Vessels to Generate Situational Awareness. ASME OMAE 2023 42nd International Conference on Ocean, Offshore & Arctic Engineering , Melbourne, Australia 2023-06-11 - 2023-06-16

2022

Lecture

Tsiolakis, Vasileios; Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; van Brummelen, Harald. (2022) Reduced order models for the solution of geometrically-parametrised turbulent flow problems. ECCOMAS 2022 2022-06-05 - 2022-06-09
Lecture

Tsiolakis, Vasileios; Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; van Brummelen, Harald. (2022) Complexity reduction of geometrically parametrised turbulent flows via reduced order models. WCCM 2022 2022-07-31 - 2022-08-05
Poster

Tsiolakis, Vasileios; Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; van Brummelen, Harald. (2022) A reduced order model strategy for the efficient approximation of transient, turbulent flow around wind-turbine blades. EERA Deepwind 2022 , Trondheim 2022-01-19 - 2022-01-21

2021

Poster

Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer. (2021) Deep Neural Network Enabled Corrective Source Term Approach for Predictive Digital Twins. Norwegian Research Center for AI Innovation NorwAI Innovate Conference , Trondheim 2021-10-20 - 2021-10-20
Academic lecture

Rasheed, Adil; Lekkas, Anastasios M.. (2021) Organization of mini symposium on Explainable AI and Hybrid Analysis and Modeling. Computational Sciences and AI in Industry 2021-06-07 - 2021-06-09
Academic lecture

Rasheed, Adil; Kvamsdal, Trond. (2021) Hybrid Analysis and Modeling. Lectures at the Center for Modeling of Coupled Subsurface Dynamics, University of Bergen. 2021-04-09 - 2021-04-23

2019

Academic lecture

Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash. (2019) Data-driven filter estimation for the sub-grid modelling of Kraichnan turbulence,. SIAM Conference on Computational Science and Engineering 2019-02-25 - 2019-03-01
Academic lecture

Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil. (2019) A Hybrid Approach for Model Order Reduction of Barotropic Quasi-geostrophic Turbulence. SIAM Conference on Computational Science and Engineering 2019-02-25 - 2019-03-01
Popular scientific lecture

Rasheed, Adil. (2019) Stordata-kybernetikk / Big Data Cybernetics. Tekna Teka Big Data Seminar , Trondheim 2019-11-27 - 2019-11-27
Academic lecture

Ahmed, Shady; Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil. (2019) LSTM based nonintrusive ROM of convective flows. 72nd Annual Meeting of the APS Division of Fluid Dynamics , Seattle, Washington 2019-11-23 - 2019-11-26
Academic lecture

Pawar, Suraj; San, Omer; Rasheed, Adil. (2019) Deep learning based sub-grid scale closure for LES of Kraichnan turbulence. 72nd Annual Meeting of the APS Division of Fluid Dynamics , Seattle, Washington 2019-11-23 - 2019-11-26
Academic lecture

Sterud, Camilla; Robinson, Haakon; Rasheed, Adil; Moe, Signe; San, Omer. (2019) Deep Reinforcement Learning for Path Following and Collision Avoidance. 5th Norwegian Big Data Symposium , Trondheim 2019-11-13 -

2018

Academic lecture

Rasheed, Adil. (2018) Industry performance enhanced by hybrid modelling. SINTEF Petroleum Conference 2018 2018-03-20 - 2018-03-21
Academic lecture

Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash. (2018) Physics-based artificial neural network formulations for LES of Kraichnan turbulence. 2nd MAE Graduate Research Symposium, Oklahoma State University, Stillwater , Oklahoma 2018-11-02 - 2018-11-02
Academic lecture

Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash. (2018) Data-driven deconvolution for the large eddy simulation of Kraichnan turbulence. 71st Annual Meeting of the APS Division of Fluid Dynamics 2018-11-18 - 2018-11-20
Academic lecture

Rahman, Sk. Mashfiqur; Rasheed, Adil; San, Omer. (2018) A Hybrid Analytics Paradigm Combining Physics-Based Modeling and Data-Driven Modeling to Accelerate Incompressible Flow Solvers. 71st Annual Meeting of the APS Division of Fluid Dynamics 2018-11-18 - 2018-11-20
Poster

Tabib, Mandar; Løvvik, Ole Martin; Johannessen, Kjetil Andre; Rasheed, Adil; Sagvolden, Espen; Rustad, Anne Marthine. (2018) Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges. . ICANN 2018 conference , Rhodes 2018-10-01 - 2018-10-05
Lecture

Tabib, Mandar; Rasheed, Adil. (2018) Hybrid analytics for drone landing and take-off in urban areas. Oslo University, SI and Helsevel, Research council norway. Drones within the health care sector (http://www.hamarregionen.net/arrangementer/droner-i-helsesektoren/) , Hamar kulturhus 2018-06-19 - 2018-06-19
Academic lecture

Tabib, Mandar; Khan, Malik Muhammad Zaki Murtaza; Lingjærde, Ole Christian; Johannessen, Kjetil Andre; Rasheed, Adil; Fonn, Eivind. (2018) Geilo Winter School in eScience on Artificial Intelligence. Geilo Winter School in eScience 2018-01-21 - 2018-01-26

2017

Lecture

Siddiqui, Muhammad Salman; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond. (2017) Numerical Modeling Framework for Wind Turbine Analysis & Atmospheric Boundary Layer Interaction. AIAA Scitech Conference , Grapevine Texas 2017-01-09 - 2017-01-13
Lecture

Tabib, Mandar; Rasheed, Adil; Fonn, Eivind. (2017) A computational framework involving CFD and data mining tools for analyzing disease in carotid artery bifurcation. SINTEF CFD 2017 , Trondheim 2017-05-31 - 2017-06-01
Lecture

Tabib, Mandar; Rasheed, Adil; Fonn, Eivind; Siddiqui, Muhammad Salman; Kvamsdal, Trond. (2017) Near wake region of an industrial scale wind turbine: comparing LES-ALM with LES-SMI simulations using data mining. WAKE 2017 2017-05-30 - 2017-06-01
Popular scientific lecture

Rasheed, Adil. (2017) Why we find turbulent flight paths exciting ?. SINTEF Forskning å være stolt av, SINTEF Ledersamling , Trondheim 2017-05-22 - 2017-05-23
Popular scientific lecture

Rasheed, Adil. (2017) Reflection on how to utilize Machine Learning and Artificial Intelligence in our current workflow. SINTEF BigLearn Kickoff Meeting , Trondheim 2017-06-12 - 2017-06-12
Popular scientific lecture

Rasheed, Adil. (2017) Hybrid Analytics: Combining physics based modeling and machine learning algorithms. Kongsberg Gruppen ASA Kongsberg Technology Conference , Sundvollen 2017-09-07 - 2017-09-08
Lecture

Rasheed, Adil; Tabib, Mandar. (2017) Wind Farm Modeling in a Realistic Environment Using a Multiscale Approach. ASME OMAE 36th International Conference on Ocean, Offshore & Arctic Engineering , Trondheim 2017-06-25 - 2017-06-30
Lecture

Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond; Tabib, Mandar. (2017) Quasi-Static & Dynamic Numerical Modeling of Full Scale NREL 5MW Wind Turbine. SINTEF and NOWITECH DeepWind 2017 , Trondheim 2017-06-25 - 2017-06-30
Lecture

Fonn, Eivind; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond. (2017) A Step towards a Reduced Order Modelling of Flow Characterized by Wakes Using Proper Orthogonal Decomposition. ASME OMAE 36th International Conference on Ocean, Offshore & Arctic Engineering , Trondheim 2017-06-25 - 2017-06-30
Lecture

Rasheed, Adil; Süld, Jakob Kristoffer; Tabib, Mandar. (2017) Effect of Uni- and Bi-Directional Coupling of Ocean-Met Interaction on Significant Wave Height and Local Wind. ASME OMAE - 36th International Conference on Ocean, Offshore & Arctic Engineering , Trondheim 2017-06-25 - 2017-06-30
Lecture

Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond; Tabib, Mandar. (2017) On Interactions between Wind Turbines and the Marine Boundary Layer. ASME OMAE 36th International Conference on Ocean, Offshore & Arctic Engineering , Trondheim 2017-06-25 - 2017-06-30
Lecture

Tabib, Mandar; Rasheed, Adil; Priya Uteng, Tanu. (2017) Methodology for assessing cycling comfort during a smart city development. EPFL University CISBAT 2017 , LAUSANNE 2017-08-06 - 2017-08-08
Lecture

Tabib, Mandar; Rasheed, Adil. (2017) Analysis of Unsteady Hydrodynamics Related to Vortex Induced Vibrations on Bluff-Bodied Offshore Structure. ASME OMAE 2017 - 36th International Conference on Ocean, Offshore & Arctic Engineering 2017-06-25 - 2017-06-30
Poster

Tabib, Mandar; Rasheed, Adil; Siddiqui, Muhammad Salman. (2017) Simulating Single turbine and associated wake development - comparison of computational methods (Actuator Line Vs Sliding Mesh Interface Vs Multiple Reference Frame) for an industrial scale wind turbine. EERA , NOWITECH SINTEF EERA Deepwind Conference , Trondheim 2017-01-08 - 2017-01-21
Poster

Tabib, Mandar; Rasheed, Adil; Siddiqui, Muhammad Salman. (2017) A 3D Vs 2.5D Vs 2D CFD analysis of 5MW NREL reference wind-turbine to study impact of bluff section. NOWITECH SINTEF EERA Deepwind Conference , Trondheim 2017-01-18 - 2017-01-21
Poster

Siddiqui, Muhammad Salman; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond. (2017) Explaining the Torque vs TSR curve in a Fully Resolved Setting on a Mega Watt Size Wind Turbine. SINTEF Energy 14th Deep Sea Offshore Wind Conference, Deepwind, 18-21 January 2017, Trondheim, Norway. , Trondheim 2017-01-18 - 2017-01-21
Poster

Rasheed, Adil; Tabib, Mandar; Süld, Jakob Kristoffer; Kristiansen, Jørn; Kvamsdal, Trond. (2017) Demonstrating the improved performance of an Ocean-Met model using bi-directional coupling. EERA DEEPWIND'2017, 14TH DEEP SEA OFFSHORE WIND R&D CONFERENCE 2017-01-18 - 2017-01-20

2016

Poster

Fuchs, Franz Georg; Rasheed, Adil; Tabib, Mandar; Fonn, Eivind. (2016) Wake modeling in complex terrain using a hybrid Eulerian-Lagrangian Split Solver. The Science of Making Torque from Wind (TORQUE 2016) 2016-10-05 - 2016-10-07
Lecture

Rasheed, Adil. (2016) Wind Energy Modelling from a Wind Farm to a Wind Blade Scale / Recent Innovations in Wind Engineering in Norway and Potential for Collaborations. Tsukuba Science Week 2016 , Tsukuba 2016-09-17 - 2016-09-19
Lecture

Rasheed, Adil. (2016) Empirical Model Decomposition based mathematical modelling strategy for analyzing Actigraphy Data and correlating it to Clinical Psychiatric Evaluation. St. Actigraphy Seminar , Trondheim 2016-03-14 - 2016-03-15
Lecture

Rasheed, Adil. (2016) Numerical simulation strategy from 2D blade sections to windfarms. SINTEF Energi Japan-Norway meeting on Offshore Energy Systems , Trondheim 2016-09-07 - 2016-09-09

2015

Lecture

Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond; Tabib, Mandar. (2015) Three Dimensional Variable Turbulent Intensity Flow Field Characterization of a Vertical Axis Wind Turbine. SINTEF Energy 12 Deep Sea Offshore Wind R&D Conference , Trondheim 2015-02-04 - 2015-02-06
Academic lecture

van Opstal, Timo Matteo; Fonn, Eivind; Holdahl, Runar; Kvamsdal, Trond; Kvarving, Arne Morten; Mathisen, Kjell Magne. (2015) Isogeometric methods for CFD and FSI-simulation of flow around turbine blades. SINTEF EERA DeepWind’2015 , Trondheim 2015-02-04 - 2015-02-06
Poster

Kvarving, Arne Morten; Kvamsdal, Trond; Rasheed, Adil; Okstad, Knut Morten; Fonn, Eivind; Mathisen, Kjell Magne. (2015) 3D CFD and FSI-simulation of flow around turbine blades. Deepwind'2015 , Trondheim 2015-02-04 - 2015-02-06
Poster

Mushtaq, Asif; Rasheed, Adil; Kvamsdal, Trond; Tabib, Mandar. (2015) Statistical analysis of wind mast data from the Bassaker Wind Farm. NOWITECH (Norwegian Research Center for Offshore Wind Tech.) EERA DeepWind 2015, 12th Deep Sea Offshore Wind R&D Conference , Trondheim 2015-02-04 - 2015-02-06
Poster

Tabib, Mandar; Rasheed, Adil; Kvamsdal, Trond; Mushtaq, Asif; Fonn, Eivind; van Opstal, Timo Matteo. (2015) Investigation of the impact of wakes and stratification on the performance of an onshore wind farm. NOWITECH (Norwegian Research Center for Offshore Wind Tech.) EERA DeepWind 2015, 12th Deep Sea Offshore Wind R&D Conference , Trondheim 2015-02-04 - 2015-02-06
Lecture

Shabnam, Adiba; Rasheed, Adil. (2015) Investigation of the influence of 5-HT1A R agonist and 5-HT2A/2C R agonist in m-RNA expression of AMPA-R GABA-Aα 1R and BDNF in HT-22 cells of mice. 4th International Conference and Exhibition on Biometrics and Biostatistics , San Antonio 2015-11-16 - 2015-11-18
Lecture

Rasheed, Adil; Tabib, Mandar. (2015) Flow Characterization in Complex Terrain for Aviation Safety. ICAAEAT 2016 : 18th International Conference on Advanced Aerospace Engineering and Atmospheric Turbulence 2015-01-07 - 2015-01-08
Poster

Okstad, Knut Morten; Mathisen, Kjell Magne; Kvamsdal, Trond; Kvarving, Arne Morten; Nordanger, Knut; Rasheed, Adil. (2015) 3D Beam element for FSI-simulation of flow around turbine blades. EERA DeepWind'2015, 12th Deep Sea Offshore Wind R&D Conference; , Trondheim 2015-02-04 - 2015-02-06
Poster

Kvamsdal, Trond; Kvarving, Arne Morten; Mathisen, Kjell Magne; Nordanger, Knut; Okstad, Knut Morten; Rasheed, Adil. (2015) Strip theory approach for FSI-simulations of flow around turbine blades. EERA DeepWind'2015 Deep Sea Offshore Wind R&D Conference , Trondheim 2015-02-04 - 2015-02-06

2014

Poster

Rasheed, Adil; Holdahl, Runar; Åkervik, Espen; Kvamsdal, Trond. (2014) FSI: Fluid Solid Interaction for Wind Turbine. 10th Deep Sea Offshore Wind R&D Conference, Deep Wind 2014 2014-01-22 - 2014-01-24
Poster

Rasheed, Adil; Süld, Jakob Kristoffer; Kvamsdal, Trond. (2014) A Multiscale Wind and Power Forecast System for Wind Farms. 10th Deep Sea Offshore Wind R&D Conference, Deep Wind 2014 2014-01-22 - 2014-01-24
Lecture

Rasheed, Adil; Kvamsdal, Trond. (2014) Multiscale Wind and Temperature Modeling. International Center for Numerical Methods in Engineering 26th International Conference on Computational Fluid Dynamics , Trondheim 2014-05-20 - 2014-05-22
Lecture

Sørli, Karstein; Rasheed, Adil; Midtbø, Knut H.; Süld, Jakob K.. (2014) Atmospheric and Wake Vortex Turbulence - Analysis and Forecasting by Mathematical Modelling and Numerical Simulations. SINTEF ATM Seminar , Forskningsveien 1, Oslo 2014-02-27 - 2014-02-27

2013

Academic lecture

Rasheed, Adil; Sørli, Karstein; Hagen, Trond Runar. (2013) A Multiscale Approach to Micrositing of Wind Turbines. Kongsberg Invited talk , Trondheim 2013-05-23 - 2013-05-23
Popular scientific lecture

Rasheed, Adil; Sørli, Karstein; Süld, Jakob Kristoffer; Midtbø, Knut Helge. (2013) Downscaling as a way to predict hazardousconditions for aviation activities. SESAR Innovation Day 2013-11-26 - 2013-11-28
Poster

Rasheed, Adil; Holdahl, Runar; Kvarving, Arne Morten; Süld, Jakob Kristoffer. (2013) Fluid Solid Interaction for Wind Turbines. SINTEF Energie NOWITECH DAY , Trondheim 2013-06-11 - 2013-06-11
Popular scientific lecture

Rasheed, Adil; Kvamsdal, Trond; Tande, Johan Olav. (2013) Norwegian Offshore Wind Technology: NOWITECH project. Norwegian Research Council Indo-Norwegian Workshop 2013 , Mumbai 2013-05-05 - 2013-05-10

2012

Lecture

Rasheed, Adil; Sørli, Karstein; Ødegaard, Viel; Kvamsdal, Trond; Midtbø, Knut Helge. (2012) Potential of Numerical Turbulence Prediction System for Wind Turbine Micrositing. International Conference on Renewable Energy Utilization 2012-01-02 - 2012-01-06
Academic lecture

Rasheed, Adil; Sørli, Karstein; Kvamsdal, Trond. (2012) Application of a Multiscale Turbulence Prediction System for aviation safety and wind turbine siting. European Congress on Computational Methods in Applied Sciences and Engineering , Vienna 2012-09-10 - 2012-09-14
Academic lecture

Rasheed, Adil; Sørli, Karstein; Ødegard, Viel; Kvamsdal, Trond; Midtbø, Knut Helge. (2012) Potential of Numerical Turbulence Prediction System for Wind Turbine Micrositing. International Conference on Renewable Energy Utilization , Coimbatore 2012-01-04 - 2012-01-06
Popular scientific lecture

Rasheed, Adil. (2012) Microscale CFD model for Wind Energy Forecast in a complex terrain. National Center for Atmospheric Research Laboratory Visit , Boulder, Colorado 2012-11-14 - 2012-11-14

2011

Lecture

Rasheed, Adil; Sørli, Karstein; Holdahl, Runar; Kvamsdal, Trond. (2011) A Multiscale Approach to Micrositing of Wind Turbines. International Conference on Advances in Energy Engineering , Bangkok 2011-12-27 - 2011-12-29
Academic lecture

Rasheed, Adil. (2011) Analysis of Terrain-Induced Turbulence on Alternative Airport Locations at the Faroes Islands using Numerical Simulation. Faroe Island , Copenhagen, Denmark 2011-08-30 - 2011-08-30
Academic lecture

Rasheed, Adil. (2011) Potential of a Multiscale Turbulence Prediction System as a Wind Turbine Siting Tool. Møte med Trønderenergi , Trondheim 2011-10-06 - 2011-10-06
Academic lecture

Rasheed, Adil. (2011) Analysis and Siting of a New Runway at the Sandnessjøen Airport, Stokka with respect to mountain induced turbulence. Norwegian Meteorological Institute , Oslo, Norway 2011-09-30 - 2011-09-30

2010

Lecture

Rasheed, Adil; Robinson, Darren; Lakehal, Djamel. (2010) On the Effects of Complex Urban Geometries on Mesoscale Modelling. International Symposium on Computational Wind Engineering 2010-05-23 - 2010-05-27

2009

Academic lecture

Rasheed, Adil. (2009) Recent Developments in Turbulence Modeling. Norwegian Meteorologial Institute Institute Visit , Oslo 2009-11-14 - 2009-11-14

Språkvelger

Adil Rasheed

Adil Rasheed

About

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Research

Digital Twin for Wind Energy

Smart Greenhouse

Digital twin of smart houses

Hybrid Analysis and Modeling

Publications

Modular control architecture for safe marine navigation: Reinforcement learning with predictive safety filters

Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions

Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach

PoroTwin: A Digital Twin for a FluidFlower Rig

Digital Twins in intensive aquaculture — Challenges, opportunities and future prospects

Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality

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