Ole Jakob Mengshoel
About
Ole J. Mengshoel is a Professor at the Department of Computer Science He is also head of the Norwegian Open AI Lab and is a member of the Data and artificial intelligence – (DART) research group. Professor Mengshoel has an MSc in Computer Science from NTH (now NTNU), and a PhD in Computer Science from the University of Illinois at Urbana-Champaign, USA.
Research interests
Artificial intelligence; Machine learning and discovery; Reasoning and learning under uncertainty; Probabilistic and statistical methods (including Bayesian networks); Evolutionary computation; Stochastic local search; Detection, diagnosis, and mitigation; Real-time and embedded systems; Visualization and decision support; Big data and scalability; Applications with artificial intelligence and machine learning.
Recent work experience
- 2018- present; Professor, Department of Computer Science, NTNU
- 2018- present; Adjunct Faculty, ECE Department, Carnegie Mellon University, Silicon Valley, Moffett Field, California, USA
- 2016-2018 Principal Systems Scientist, ECE Department, Carnegie Mellon University, Silicon Valley, Moffett Field, California, USA2012-2016 Associate Research Professor, ECE Department, Carnegie Mellon University, Silicon Valley, Moffett Field, California, USA
- 2008-2012 Senior Systems Scientist, Research Area Lead, USRA/RIACS, NASA Ames Research Center, Moffett Field, , California, USA
- AwardsBest Paper Honorable Mention for “Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention” by Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian Lane, and Xiaobing Liu. The 2018 International Symposium on Wearable Computers (ISWC), Singapore, October 2018.
- Distinguished Senior Program Committee Member, International Joint Conference on Artificial Intelligence (IJCAI, Stockholm, Sweden, ), July 2018.
- Best Paper Award for "Differential adaptive stress testing of airborne collision avoidance systems" by Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan Gardner, Daniel Genin, Jeffrey Brush, and Mykel J. Kochenderfer. The 2018 AIAA Modeling and Simulation Technologies Conference, Kissimmee, Florida, USA, January 2018.
- Best Paper of Session Award for "Adaptive stress testing of airborne collision avoidance systems" by Ritchie Lee, Mykel J. Kochenderfer, Ole J. Mengshoel, Guillaume P. Brat, and Michael P. Owen. The 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC), Prague, Czech Republic, September 2015.
- Best Paper Award for “Multi-focus and multi-window techniques for interactive network exploration” by Priya Krishnan Sundararajan, Ole J. Mengshoel, and Ted Selker. Conference on Visualization and Data Analysis 2013, Burlingame, California, USA, February 2013.
- NASA Group Achievement Award: “Team Name: OSMA Software Assurance Research Program (SARP)” NASA, July 2012.
- Winner of Second Int`l Diagnostics Competition (DXC-10), Industrial Track, Problem II. International Workshop on Principles of Diagnosis, October 2010.
- Second SIGART/AAAI Doctoral Consortium, AAAI-97 at Providence, RI, July 1997.
See my publications at:
https://works.bepress.com/ole_mengshoel/
https://scholar.google.com/citations?user=M6Jzt2UAAAAJ&hl=en
Publications
2026
-
Díaz, Xavier Sánchez;
Mengshoel, Ole Jakob;
Downing, Keith Linn.
(2026)
Evolutionary Search and Fitness Landscapes of Pseudo-Boolean Problems.
Norges teknisk-naturvitenskapelige universitet
Doctoral thesis
-
Jørgensen, Tollef Emil;
Mengshoel, Ole Jakob;
Gambäck, Björn.
(2026)
Metadata Generation and Summarization for Conversational Text.
Norges teknisk-naturvitenskapelige universitet
Doctoral thesis
-
Chiu, Jessica Ka Yi;
Li, Charlie Chunlin;
Mengshoel, Ole Jakob;
Kveldsvik, Vidar;
Holter, Karl Gunnar.
(2026)
Digital-driven rock slope support design: Integrating parametric modelling and artificial intelligence.
Norges teknisk-naturvitenskapelige universitet
Doctoral thesis
2025
-
Laursen, Thomas Steenfeldt;
Mengshoel, Ole Jakob.
(2025)
Evolutionary Adaptive Stress Testing for Collision Avoidance in Sustainable Maritime Transportation.
Academic chapter
-
Nese, Håkon;
Luani, Giacomo;
Pryme, Colin;
Rennan, Lars;
Chattopadhyay, Basab;
Kristoffersen, Anders;
Mengshoel, Ole Jakob;
Breiby, Dag Werner.
(2025)
Implicit neural representation for fast 4D computed tomography of multiphase flow in porous media.
Communications Physics
Academic article
-
Chiu, Jessica Ka Yi;
Li, Charlie Chunlin;
Mengshoel, Ole Jakob;
Kveldsvik, Vidar.
(2025)
Slope rockbolting using key block theory: Force transfer and artificial intelligence-assisted multi-objective optimisation.
Journal of Rock Mechanics and Geotechnical Engineering
Academic article
-
Ivanovic, Valentina;
Sujan, Md Abu Jafar;
Mengshoel, Ole Jakob;
Moholdt, Trine.
(2025)
Artificial intelligence methods in gestational diabetes mellitus prediction: A systematic literature review.
International Journal of Medical Informatics
Academic article
-
Masson, Corentin;
Mengshoel, Ole Jakob;
Sánchez-Díaz, Xavier F. C..
(2025)
Empirical Studies of Multimodality in Feature Selection: Generalized Crowding for Genetic Algorithms.
Academic chapter
-
Jørgensen, Tollef Emil;
Mengshoel, Ole Jakob.
(2025)
Cross-Lingual Sentence Compression for Length-Constrained Subtitles in Low-Resource Settings.
Proceedings of International Conference on Computational Linguistics (COLING)
Academic article
-
Masson, Corentin;
Sánchez-Díaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2025)
Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning.
Academic chapter
2024
-
Sánchez-Díaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2024)
Estimating the Number of Local Optima in Multimodal Pseudo-Boolean Functions: Validation via Landscapes of Triangles.
Academic chapter
-
Sánchez-Diaz, Xavier F. C.;
Masson, Corentin Antoine François;
Mengshoel, Ole Jakob.
(2024)
Regularized Feature Selection Landscapes: An Empirical Study of Multimodality.
Academic chapter
-
Chen, Jianpeng;
Wang, Yujing;
Zeng, Ming;
Xiang, Zongyi;
Hou, Bitan;
Tong, Yunhai;
Mengshoel, Ole Jakob;
Ren, Yazhou.
(2024)
Customizing graph neural networks using path reweighting.
Information Sciences
Academic article
-
Mengshoel, Ole Jakob;
Elster, Anne C.;
Fagervik, Jørgen Aleksander.
(2024)
Efficient Processing of Distributed Acoustic Sensing Data: Anomaly Detection using Autoencoders.
Norges teknisk-naturvitenskapelige universitet
Master thesis
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Langseth, Helge;
Ramampiaro, Heri;
Bach, Kerstin.
(2024)
Improving Labour Inspection Efficiency via Machine Learning.
Norges teknisk-naturvitenskapelige universitet
Doctoral thesis
2023
-
Sánchez-Diaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2023)
EvoLP.jl: A Playground for Evolutionary Computation in Julia.
CEUR Workshop Proceedings
Academic article
-
Chiu, Jessica Ka Yi;
Li, Charlie Chunlin;
Mengshoel, Ole Jakob.
(2023)
Potential applications of deep learning in automatic rock joint trace mapping in a rock mass.
IOP Conference Series: Earth and Environmental Science (EES)
Academic article
-
Van De Weijer, Erling;
Owren, Odd André;
Mengshoel, Ole Jakob.
(2023)
Forecasting Hourly Ambulance Demand for Oslo, Norway: A Neuro-Symbolic Method.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Academic article
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Theisen, Ole Magnus;
Bach, Kerstin.
(2023)
Creating Explainable Dynamic Checklists via Machine
Learning to Ensure Decent Working Environment for
All: A Field Study with Labour Inspections.
Academic chapter
-
Mengshoel, Ole Jakob;
Foss, Fredrik;
Sánchez-Díaz, Xavier F. C..
(2023)
Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal Optimization.
Academic chapter
-
Schjølberg, Magnus Eide;
Bekkevold, Nicklas Paus;
Sánchez-Díaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2023)
Comparing Metaheuristic Optimization Algorithms for Ambulance Allocation: An Experimental Simulation Study.
Academic chapter
-
Venkatachalam, Shanmuga;
Nair, Harideep;
Zeng, Ming;
Tan, Cathy Shunwen;
Mengshoel, Ole Jakob;
Shen, John Paul.
(2023)
Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks(Front. Big Data, (2022), 5, (879389), 10.3389/fdata.2022.879389).
Frontiers in Big Data
Corrigendum
-
Sánchez Diaz, Xavier Fernando Cuauhtémoc;
Mengshoel, Ole Jakob.
(2023)
Evolutionary Computation with Islands: Extending EvoLP.jl for Parallel Computing.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Academic article
2022
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob.
(2022)
A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments.
Advances in Neural Information Processing Systems
Academic article
-
Hjelmeland, Hanna Waage;
Eriksen, Bjørn-Olav Holtung;
Mengshoel, Ole Jakob;
Lekkas, Anastasios M..
(2022)
Identification of Failure Modes in the Collision Avoidance System of an Autonomous Ferry using Adaptive Stress Testing.
IFAC-PapersOnLine
Academic article
-
Mengshoel, Ole Jakob;
Flogard, Eirik Lund;
Yu, Tong;
Riege, Jon.
(2022)
Understanding the Cost of Fitness Evaluation for Subset Selection: Markov Chain Analysis of Stochastic Local Search.
Academic chapter
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Bach, Kerstin.
(2022)
Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All.
IJCAI International Joint Conference on Artificial Intelligence
Academic article
-
Basak, Aniruddha;
Schmidt, Kevin M.;
Mengshoel, Ole Jakob.
(2022)
From data to interpretable models: machine learning for soil moisture forecasting.
International Journal of Data Science and Analytics (JDSA)
Academic article
2021
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Bach, Kerstin.
(2021)
Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists.
Academic chapter
-
Burak, Jan Jakub;
Mengshoel, Ole Jakob.
(2021)
A Multi-Objective Genetic Algorithm for Jacket Optimization.
Academic chapter
-
Mengshoel, Ole Jakob;
Flogard, Eirik Lund;
Riege, Jon;
Yu, Tong.
(2021)
Stochastic Local Search Heuristics for Efficient Feature Selection: An Experimental Study.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Academic article
-
Mengshoel, Ole Jakob;
Yu, Tong;
Riege, Jon;
Flogard, Eirik Lund.
(2021)
Stochastic Local Search for Efficient Hybrid Feature Selection.
Academic chapter
-
Skjærseth, Eirik Høgdahl;
Vinje, Harald;
Mengshoel, Ole Jakob.
(2021)
Novelty Search for Evolving Interesting Character Mechanics for a Two-Player Video Game.
Academic chapter
-
Foss, Fredrik;
Mengshoel, Ole Jakob.
(2021)
A Multimethod Approach to Multimodal Function Optimization.
Academic chapter
2020
-
Mengshoel, Ole Jakob;
Yu, Tong;
Zeng, Ming.
(2020)
Stochastic local search and machine learning: From theory to applications and vice versa.
Frontiers in Artificial Intelligence and Applications
Conference abstract
-
Lee, Ritchie;
Mengshoel, Ole Jakob;
Saksena, Anshu;
Gardner, Ryan;
Genin, Daniel;
Silbermann, Joshua;
Owen, Michael;
Kochenderfer, Mykel J..
(2020)
Adaptive stress testing: Finding likely failure events with reinforcement learning.
The journal of artificial intelligence research
Academic article
2019
-
Lee, Ritchie;
Puig-Navarro, Javier;
Agogino, Adrian K.;
Giannakoupoulou, Dimitra;
Mengshoel, Ole Jakob;
Kochenderfer, Mykel J.;
Allen, B. Danette.
(2019)
Adaptive Stress Testing of Trajectory Planning Systems.
Non-fiction chapter
2018
-
Mengshoel, Ole Jakob;
Yu, Tong;
Pan, Shijia;
Xu, Susu;
Chen, Xinlei;
Mirshekari, Mostafa;
Fagert, Jonathon;
Noh, Hae Young.
(2018)
ILPC: Iterative Learning using Physical Constraints in Real-World Sensing Data.
Non-fiction chapter
-
Mengshoel, Ole Jakob;
Zeng, Ming;
Yu, Tong;
Quin, Helen;
Lee, Chris;
Shen, John Paul.
(2018)
Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition.
Academic chapter
-
Mengshoel, Ole Jakob;
Fang, Zhou;
Luo, Mulong;
Srivastava, Mani B.;
Gupta, Rajesh K..
(2018)
Mitigating Multi-tenant Interference in Continuous Mobile Offloading.
Academic chapter
-
Galán, Severino F.;
Mengshoel, Ole Jakob.
(2018)
Neighborhood beautification: Graph layout through message passing.
Journal of Visual Languages and Computing
Academic article
-
Zeng, Ming;
Gao, Haoxiang;
Yu, Tong;
Mengshoel, Ole Jakob;
Langseth, Helge;
Lane, Ian;
Liu, Xiaobing.
(2018)
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention.
Academic chapter
2017
-
Pan, Shijia;
Yu, Tong;
Mirshekari, Mostafa;
Fagert, Jonathon;
Bonde, Amelie;
Mengshoel, Ole Jakob;
Noh, Hae Young;
Zhang, Pei.
(2017)
FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing.
PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Academic article
2015
-
M, Johan Schumann;
Rozier, Kristin Y;
Reinbacher, Thomas;
Mengshoel, Ole Jakob;
Mbaya, Timmy;
Ippolito, Corey.
(2015)
Towards Real-time, On-board, Hardware-supported Sensor and Software Health Management for Unmanned Aerial Systems.
International Journal of Prognostics and Health Management
Academic article
2014
-
Ricks, Brian;
Mengshoel, Ole Jakob.
(2014)
Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits.
International Journal of Approximate Reasoning
Academic article
-
Mengshoel, Ole Jakob;
Galán, Severino F.;
Dios, Antonio de.
(2014)
Adaptive generalized crowding for genetic algorithms.
Information Sciences
Academic article
2013
-
Galán, Severino F.;
Mengshoel, Ole Jakob;
Pinter, Rafael.
(2013)
A Novel Mating Approach for Genetic Algorithms.
Evolutionary Computation
Academic article
-
Schumann, Johann;
Mbaya, Timmy;
Mengshoel, Ole Jakob;
Pipatsrisawat, Knot;
Srivastava, Ashok;
Choi, Arthur;
Darwiche, Adnan.
(2013)
Software health management with Bayesian networks.
Innovations in Systems and Software Engineering
Academic article
Journal publications
-
Nese, Håkon;
Luani, Giacomo;
Pryme, Colin;
Rennan, Lars;
Chattopadhyay, Basab;
Kristoffersen, Anders;
Mengshoel, Ole Jakob;
Breiby, Dag Werner.
(2025)
Implicit neural representation for fast 4D computed tomography of multiphase flow in porous media.
Communications Physics
Academic article
-
Chiu, Jessica Ka Yi;
Li, Charlie Chunlin;
Mengshoel, Ole Jakob;
Kveldsvik, Vidar.
(2025)
Slope rockbolting using key block theory: Force transfer and artificial intelligence-assisted multi-objective optimisation.
Journal of Rock Mechanics and Geotechnical Engineering
Academic article
-
Ivanovic, Valentina;
Sujan, Md Abu Jafar;
Mengshoel, Ole Jakob;
Moholdt, Trine.
(2025)
Artificial intelligence methods in gestational diabetes mellitus prediction: A systematic literature review.
International Journal of Medical Informatics
Academic article
-
Sánchez-Diaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2023)
EvoLP.jl: A Playground for Evolutionary Computation in Julia.
CEUR Workshop Proceedings
Academic article
-
Chiu, Jessica Ka Yi;
Li, Charlie Chunlin;
Mengshoel, Ole Jakob.
(2023)
Potential applications of deep learning in automatic rock joint trace mapping in a rock mass.
IOP Conference Series: Earth and Environmental Science (EES)
Academic article
-
Mengshoel, Ole Jakob;
Yu, Tong;
Zeng, Ming.
(2020)
Stochastic local search and machine learning: From theory to applications and vice versa.
Frontiers in Artificial Intelligence and Applications
Conference abstract
-
Jørgensen, Tollef Emil;
Mengshoel, Ole Jakob.
(2025)
Cross-Lingual Sentence Compression for Length-Constrained Subtitles in Low-Resource Settings.
Proceedings of International Conference on Computational Linguistics (COLING)
Academic article
-
M, Johan Schumann;
Rozier, Kristin Y;
Reinbacher, Thomas;
Mengshoel, Ole Jakob;
Mbaya, Timmy;
Ippolito, Corey.
(2015)
Towards Real-time, On-board, Hardware-supported Sensor and Software Health Management for Unmanned Aerial Systems.
International Journal of Prognostics and Health Management
Academic article
-
Ricks, Brian;
Mengshoel, Ole Jakob.
(2014)
Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits.
International Journal of Approximate Reasoning
Academic article
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob.
(2022)
A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments.
Advances in Neural Information Processing Systems
Academic article
-
Van De Weijer, Erling;
Owren, Odd André;
Mengshoel, Ole Jakob.
(2023)
Forecasting Hourly Ambulance Demand for Oslo, Norway: A Neuro-Symbolic Method.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Academic article
-
Hjelmeland, Hanna Waage;
Eriksen, Bjørn-Olav Holtung;
Mengshoel, Ole Jakob;
Lekkas, Anastasios M..
(2022)
Identification of Failure Modes in the Collision Avoidance System of an Autonomous Ferry using Adaptive Stress Testing.
IFAC-PapersOnLine
Academic article
-
Pan, Shijia;
Yu, Tong;
Mirshekari, Mostafa;
Fagert, Jonathon;
Bonde, Amelie;
Mengshoel, Ole Jakob;
Noh, Hae Young;
Zhang, Pei.
(2017)
FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing.
PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Academic article
-
Galán, Severino F.;
Mengshoel, Ole Jakob;
Pinter, Rafael.
(2013)
A Novel Mating Approach for Genetic Algorithms.
Evolutionary Computation
Academic article
-
Schumann, Johann;
Mbaya, Timmy;
Mengshoel, Ole Jakob;
Pipatsrisawat, Knot;
Srivastava, Ashok;
Choi, Arthur;
Darwiche, Adnan.
(2013)
Software health management with Bayesian networks.
Innovations in Systems and Software Engineering
Academic article
-
Mengshoel, Ole Jakob;
Galán, Severino F.;
Dios, Antonio de.
(2014)
Adaptive generalized crowding for genetic algorithms.
Information Sciences
Academic article
-
Lee, Ritchie;
Mengshoel, Ole Jakob;
Saksena, Anshu;
Gardner, Ryan;
Genin, Daniel;
Silbermann, Joshua;
Owen, Michael;
Kochenderfer, Mykel J..
(2020)
Adaptive stress testing: Finding likely failure events with reinforcement learning.
The journal of artificial intelligence research
Academic article
-
Chen, Jianpeng;
Wang, Yujing;
Zeng, Ming;
Xiang, Zongyi;
Hou, Bitan;
Tong, Yunhai;
Mengshoel, Ole Jakob;
Ren, Yazhou.
(2024)
Customizing graph neural networks using path reweighting.
Information Sciences
Academic article
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Bach, Kerstin.
(2022)
Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All.
IJCAI International Joint Conference on Artificial Intelligence
Academic article
-
Mengshoel, Ole Jakob;
Flogard, Eirik Lund;
Riege, Jon;
Yu, Tong.
(2021)
Stochastic Local Search Heuristics for Efficient Feature Selection: An Experimental Study.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Academic article
-
Venkatachalam, Shanmuga;
Nair, Harideep;
Zeng, Ming;
Tan, Cathy Shunwen;
Mengshoel, Ole Jakob;
Shen, John Paul.
(2023)
Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks(Front. Big Data, (2022), 5, (879389), 10.3389/fdata.2022.879389).
Frontiers in Big Data
Corrigendum
-
Basak, Aniruddha;
Schmidt, Kevin M.;
Mengshoel, Ole Jakob.
(2022)
From data to interpretable models: machine learning for soil moisture forecasting.
International Journal of Data Science and Analytics (JDSA)
Academic article
-
Sánchez Diaz, Xavier Fernando Cuauhtémoc;
Mengshoel, Ole Jakob.
(2023)
Evolutionary Computation with Islands: Extending EvoLP.jl for Parallel Computing.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Academic article
-
Galán, Severino F.;
Mengshoel, Ole Jakob.
(2018)
Neighborhood beautification: Graph layout through message passing.
Journal of Visual Languages and Computing
Academic article
Part of book/report
-
Laursen, Thomas Steenfeldt;
Mengshoel, Ole Jakob.
(2025)
Evolutionary Adaptive Stress Testing for Collision Avoidance in Sustainable Maritime Transportation.
Academic chapter
-
Masson, Corentin;
Mengshoel, Ole Jakob;
Sánchez-Díaz, Xavier F. C..
(2025)
Empirical Studies of Multimodality in Feature Selection: Generalized Crowding for Genetic Algorithms.
Academic chapter
-
Lee, Ritchie;
Puig-Navarro, Javier;
Agogino, Adrian K.;
Giannakoupoulou, Dimitra;
Mengshoel, Ole Jakob;
Kochenderfer, Mykel J.;
Allen, B. Danette.
(2019)
Adaptive Stress Testing of Trajectory Planning Systems.
Non-fiction chapter
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Bach, Kerstin.
(2021)
Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists.
Academic chapter
-
Mengshoel, Ole Jakob;
Yu, Tong;
Pan, Shijia;
Xu, Susu;
Chen, Xinlei;
Mirshekari, Mostafa;
Fagert, Jonathon;
Noh, Hae Young.
(2018)
ILPC: Iterative Learning using Physical Constraints in Real-World Sensing Data.
Non-fiction chapter
-
Masson, Corentin;
Sánchez-Díaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2025)
Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning.
Academic chapter
-
Sánchez-Díaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2024)
Estimating the Number of Local Optima in Multimodal Pseudo-Boolean Functions: Validation via Landscapes of Triangles.
Academic chapter
-
Sánchez-Diaz, Xavier F. C.;
Masson, Corentin Antoine François;
Mengshoel, Ole Jakob.
(2024)
Regularized Feature Selection Landscapes: An Empirical Study of Multimodality.
Academic chapter
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Theisen, Ole Magnus;
Bach, Kerstin.
(2023)
Creating Explainable Dynamic Checklists via Machine
Learning to Ensure Decent Working Environment for
All: A Field Study with Labour Inspections.
Academic chapter
-
Mengshoel, Ole Jakob;
Zeng, Ming;
Yu, Tong;
Quin, Helen;
Lee, Chris;
Shen, John Paul.
(2018)
Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition.
Academic chapter
-
Burak, Jan Jakub;
Mengshoel, Ole Jakob.
(2021)
A Multi-Objective Genetic Algorithm for Jacket Optimization.
Academic chapter
-
Mengshoel, Ole Jakob;
Foss, Fredrik;
Sánchez-Díaz, Xavier F. C..
(2023)
Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal Optimization.
Academic chapter
-
Schjølberg, Magnus Eide;
Bekkevold, Nicklas Paus;
Sánchez-Díaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2023)
Comparing Metaheuristic Optimization Algorithms for Ambulance Allocation: An Experimental Simulation Study.
Academic chapter
-
Mengshoel, Ole Jakob;
Flogard, Eirik Lund;
Yu, Tong;
Riege, Jon.
(2022)
Understanding the Cost of Fitness Evaluation for Subset Selection: Markov Chain Analysis of Stochastic Local Search.
Academic chapter
-
Mengshoel, Ole Jakob;
Yu, Tong;
Riege, Jon;
Flogard, Eirik Lund.
(2021)
Stochastic Local Search for Efficient Hybrid Feature Selection.
Academic chapter
-
Skjærseth, Eirik Høgdahl;
Vinje, Harald;
Mengshoel, Ole Jakob.
(2021)
Novelty Search for Evolving Interesting Character Mechanics for a Two-Player Video Game.
Academic chapter
-
Foss, Fredrik;
Mengshoel, Ole Jakob.
(2021)
A Multimethod Approach to Multimodal Function Optimization.
Academic chapter
-
Mengshoel, Ole Jakob;
Fang, Zhou;
Luo, Mulong;
Srivastava, Mani B.;
Gupta, Rajesh K..
(2018)
Mitigating Multi-tenant Interference in Continuous Mobile Offloading.
Academic chapter
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Zeng, Ming;
Gao, Haoxiang;
Yu, Tong;
Mengshoel, Ole Jakob;
Langseth, Helge;
Lane, Ian;
Liu, Xiaobing.
(2018)
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention.
Academic chapter
Student thesis or dissertation
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Díaz, Xavier Sánchez;
Mengshoel, Ole Jakob;
Downing, Keith Linn.
(2026)
Evolutionary Search and Fitness Landscapes of Pseudo-Boolean Problems.
Norges teknisk-naturvitenskapelige universitet
Doctoral thesis
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Jørgensen, Tollef Emil;
Mengshoel, Ole Jakob;
Gambäck, Björn.
(2026)
Metadata Generation and Summarization for Conversational Text.
Norges teknisk-naturvitenskapelige universitet
Doctoral thesis
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Chiu, Jessica Ka Yi;
Li, Charlie Chunlin;
Mengshoel, Ole Jakob;
Kveldsvik, Vidar;
Holter, Karl Gunnar.
(2026)
Digital-driven rock slope support design: Integrating parametric modelling and artificial intelligence.
Norges teknisk-naturvitenskapelige universitet
Doctoral thesis
-
Mengshoel, Ole Jakob;
Elster, Anne C.;
Fagervik, Jørgen Aleksander.
(2024)
Efficient Processing of Distributed Acoustic Sensing Data: Anomaly Detection using Autoencoders.
Norges teknisk-naturvitenskapelige universitet
Master thesis
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Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Langseth, Helge;
Ramampiaro, Heri;
Bach, Kerstin.
(2024)
Improving Labour Inspection Efficiency via Machine Learning.
Norges teknisk-naturvitenskapelige universitet
Doctoral thesis
Teaching
Courses
Outreach
2019
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Conference lectureYu, Tong; Mengshoel, Ole Jakob; Meroux, Dominique; Jiang, Zhen. (2019) Machine Learning with Decision Trees and Multi-Armed Bandits: An Interactive Vehicle Recommender System. WCX SAE World Congress Experience
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Conference lectureNagi, Imre; Yin, Darren; Yousafzai, Ali; Tzannetos, Dimitrios; Mengshoel, Ole Jakob; Martin, Rodney; Kulkarni, Chetan. (2019) Exploring Gaussian Process Regression and Unscented Kalman Filtering for Lithium-ion Battery Prognostics. AIAA Scitech 2019 Forum
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Conference lectureLee, Ritchie; Puig-Navarro, Javier; Agogino, Adrian K.; Giannakoupoulou, Dimitra; Mengshoel, Ole Jakob; Kochenderfer, Mykel J.; Allen, B. Danette. (2019) Adaptive Stress Testing of Trajectory Planning Systems. AIAA Scitech 2019 Forum
2018
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Conference lectureMengshoel, Ole Jakob; Yu, Tong; Lane, Ian; Liu, Bing. (2018) Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models. AAAI-18, Thirty-Second AAAI Conference on Artificial Intelligence
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Conference lectureMengshoel, Ole Jakob; Yu, Tong; Pan, Shijia; Xu, Susu; Chen, Xinlei; Mirshekari, Mostafa; Fagert, Jonathon; Noh, Hae Young. (2018) ILPC: Iterative Learning using Physical Constraints in Real-World Sensing Data. AAAI Workshops, AAAI Conference on Artificial Intelligence 2018
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Conference lectureMengshoel, Ole Jakob; Leng, Hongkun; Paulino, Caleb De La Cruz; Haider, Momina; Lu, Rui; Zhou, Zhenhui; Brodin, Per-Erik. (2018) Finding Similar Movies: Dataset, Tools, and Methods. HCI-Europe 2018, International Conferences in Central Europe on Human Computer Interaction (2018)
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LectureØien, Geir Egil Dahle; Mengshoel, Ole Jakob; Ramampiaro, Heri; Svendsen, Torbjørn Karl. (2018) NTNUs strategiske satsing på kunstig intelligens (AI) – bakgrunn, aktiviteter og fremtidsvyer. Medlemsmøte, Det Kongelige Norske Vitenskapers Selskap
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Conference lectureZeng, Ming; Gao, Haoxiang; Yu, Tong; Mengshoel, Ole Jakob; Langseth, Helge; Lane, Ian; Liu, Xiaobing. (2018) Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention. 2018 ACM International Symposium on Wearable Computers