Stefan Werner
About
Stefan Werner (IEEE Fellow) is a Professor at the Department of Electronic Systems and Director of IoT Research at NTNU. He is a member of the Signal Processing Group. He is also an Adjunct Professor with Aalto University in Finland, a visiting Melchor Professor with the University of Notre Dame in the US, and an Adjunct Senior Research Fellow with the Institute for Telecommunications Research, University of South Australia. Professor Werner has an M.Sc. from the Department of Electrical Engineering at KTH Royal Institute of Technology in Sweden and a D.Sc. (with honors) from the Department of Electrical and Communications Engineering at the Helsinki University of Technology in Finland.
Open Positions
I have one 3-year postdoctoral position related to Trustworthy Signal Processing and Machine Learning for Next-Gen IoT. Follow the link for more information, or drop me an email. Postdoctoral researchers may also consider applying for an ERCIM Fellowship; let me know if you intend to apply.
Research Interests
- Graph signal processing and graph neural networks
- Distributed and federated learning
- Privacy-preserving learning
- Wireless communications
- Adaptive signal processing and machine learning
- Internet of things
- Physical-layer security and privacy
- Smart grids
Areas of Expertise
Wireless communications, statistical signal processing, graph signal processing, adaptive filtering, and learning. He has published roughly 240 scientific journals and conference publications in these areas. He has extensive credentials and experience in advancing the theory and applications of distributed signal processing and optimization, machine learning, event-triggered processing, and communication in sensor networks. His research within wireless communication includes, e.g., analysis and design of full-duplex relaying and MIMO communication. The early publications on full-duplex relaying are highly cited and have opened up a new research area that has been very active in recent years. More recently, he has contributed to developing CPS/IoT technologies, particularly those relevant to advancing the communication and control, analysis, security, privacy, and networking of the data collection infrastructure.
Recent Work Experience
- 2016- Professor, Dept. of Electronics and Telecommunications, NTNU
- 2016- Adjunct Professor, Aalto School of Electrical Engineering, Finland
- 2019 (June to July) Melchor Professor, University of Notre Dame, USA
- 2014-2016 Senior Research Scientist, Aalto School of Electrical Engineering, Finland
- 2014- Adjunct Senior Research Fellow, University of South Australia, Australia
- 2009-2014 Academy Research Fellow, Academy of Finland/Aalto University, Finland
- 2009-2014 Docent, Aalto University, Finland
- 2003 Visiting researcher, Federal University of Rio de Janeiro, Brazil
- 2002-2008 Senior Researcher, Signal Processing Laboratory, Helsinki University of Technology, Finland
Selected Research Funding
- Oct 2023 - "Privacy@Edge." Research Council of Norway
- Sep 2023 - "PLEDGE: Personalize learning on the edge." Research Council of Finland
- Oct 2019 - "COPS: Comprehensive privacy and security for resilient CPS/IoT." Research Council of Norway
- Aug 2018 - "Resource-aware IoT with Enhanced Intelligence and Security." Research Council of Norway
- Apr 2017- Dec 2018 "ART: Autonomous Resource-constrained Things." Research Council of Norway
- Jul 2020 "MAMONET: Massive MIMO for Securing Internet of Things Networks." Marie-Curie IF, Horizon 2020, EU. Project Coordinator.
- Sep 2016-Dec 2020 “Robust Demand-End Optimization with Event-Triggered Situational Awareness.” Academy Project funding by Academy of Finland
- Jan 2009-July 2014 “Distributed and Resource Efficient Parameter Estimation in Sensor and Wireless Networks.” Academy Fellow funding by Academy of Finland
- 2012-2014 “ICT & Energy,” one of four projects in ELECs Energy Efficiency Program
Membership in Academic Committees
- 2023- Fellow of IEEE
- 2007-2022 Senior member of IEEE
- 2002-2007 Member of IEEE
- 2014- Affiliated member of IEEE SPTM Technical Committee
- 2011-2014 Member of ICT Strategy Group for Aalto ELEC
Editorial Work
- 2009- Member of the Editorial Board, Signal Processing (EURASIP/Elsevier Journal).
- 2019- Member of the Editorial Board, IEEE Transactions on Signal and Information Processing over Networks.
Current team
- François Gauthier (P.hD. candidate)
- Ehsan Lari (Ph.D. candidate)
- Reza Mirzaeifard (Ph.D. candidate)
- Dawit Redie (Ph.D. candidate)
- Diyako Ghaderyan (Postdoctoral researcher)
- Anshu Mukherjee (Postdoctoral researcher)
- Sateesh Dhuli (Postdoctoral researcher)
Alumni
- Vinay Gogineni (Assistant Professor, SDU, Denmark)
- Dr. Naveen K. D. Venkategowda (Associate Professor, Linköping University)
- Dr. Vitor Elias (graduated 2021, Postdoctoral Researcher, NTNU)
- Dr. Pouria Talebi (Assistant Professor)
- Dr. Victor Wattin Håkansson (graduated 2022, ETH)
- Cristiano Gratton (graduated 2023)
- Ashkan Moradi (graduated, 2023, Postdoctoral Researcher, NTNU)
He has supervised twelve and is currently supervising five doctoral candidates; and twelve MSc candidates.
Publications
2023
-
Mirzaeifard, Reza;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Anders Stefan.
(2023)
Robust phase retrieval with non-convex penalties.
Asilomar Conference on Signals, Systems and Computers. Conference Record
Academic article
-
Gogineni, Vinay Chakravarthi;
Sambangi, Ramesh;
Alex, Daney;
Mula, Subrahmanyam;
Werner, Anders Stefan.
(2023)
Algorithm and Architecture Design of Random Fourier Features-Based Kernel Adaptive Filters.
IEEE Transactions on Circuits and Systems I: Regular Papers
Academic article
-
Moradi, Ashkan;
Venkategowda, Naveen K. D.;
Werner, Anders Stefan.
(2023)
Total Variation-Based Distributed Kalman Filtering for Resiliency Against Byzantines.
IEEE Sensors Journal
Academic article
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2023)
Personalized Graph Federated Learning With Differential Privacy.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Mirzaeifard, Reza;
Gogineni, Vinay Chakravarthi;
Kumar Dasanadoddi Venkategowda, Naveen;
Werner, Anders Stefan.
(2023)
Distributed quantile regression with non-convex sparse penalties.
IEEE Statistical Signal Processing Workshop (SSP)
Academic article
-
Lari, Ehsan;
Gogineni, Vinay Chakravarthi;
Arablouei, Reza;
Werner, Anders Stefan.
(2023)
Resource-efficient federated learning robust to communication errors.
IEEE Statistical Signal Processing Workshop (SSP)
Academic article
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan.
(2023)
Networked personalized federated learning using reinforcement learning.
IEEE International Conference on Communications
Academic article
-
Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Anders Stefan.
(2023)
Communication-efficient and privacy-aware distributed learning.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Müller, Katinka;
Gogineni, Vinay Chakravarthi;
Orlandic, Milica;
Werner, Anders Stefan.
(2023)
Autoencoder-based hyperspectral anomaly detection using kernel principal component pre-processing.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2023)
Asynchronous online federated learning with reduced communication requirements.
IEEE Internet of Things Journal
Academic article
2022
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Gauthier, Francois;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions.
IEEE Internet of Things Magazine (IoTM)
Academic article
-
Håkansson, Victor Wattin;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan;
Varshney, Pramod K..
(2022)
Optimal Transmission-Constrained Scheduling of Spatio-Temporally Dependent Observations Using Age-of-Information.
IEEE Sensors Journal
Academic article
-
Talebi, Sayedpouria;
Darvishi, Hossein;
Werner, Stefan;
Salvo Rossi, Pierluigi.
(2022)
Gradient-Descent Adaptive Filtering Using Gradient Adaptive Step-Size.
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Academic article
-
Mirzaeifard, Reza;
Dasanadoddi Venkategowda, Naveen Kumar;
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2022)
ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Decentralized Graph Federated Multitask Learning for Streaming Data.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Alex, Daney;
Gogineni, Vinay Chakravarthi;
Mula, Subrahmanyam;
Werner, Stefan.
(2022)
Novel VLSI Architecture for Fractional-Order Correntropy Adaptive Filtering Algorithm.
IEEE Transactions on Very Large Scale Integration (vlsi) Systems
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Communication-Efficient Online Federated Learning Strategies for Kernel Regression.
IEEE Internet of Things Journal
Academic article
-
Gauthier, Francois;
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Talebi, Sayedpouria;
Werner, Stefan;
Xia, Yili;
Took, Clive Cheong;
Mandic, Danilo P..
(2022)
A joint particle filter for quaternion-valued alpha-stable signals via the characteristic function.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Kumar Dasanadoddi Venkategowda, Naveen;
Werner, Stefan.
(2022)
Communication-efficient and privacy-aware distributed LMS algorithm.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression.
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
Academic article
-
Gogineni, Vinay Chakravarthi;
Naumova, Valeriya;
Werner, Stefan;
Huang, Yih-Fang.
(2022)
Graph Kernel Recursive Least-Squares Algorithms.
IEEE Signal Processing Society
Academic chapter/article/Conference paper
-
Håkansson, Victor Wattin;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan;
Varshney, Pramod K..
(2022)
Optimal Scheduling of Multiple Spatiotemporally Dependent Observations for Remote Estimation Using Age of Information.
IEEE Internet of Things Journal
Academic article
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Talebi, Sayedpouria;
Werner, Stefan.
(2022)
Privacy-Preserving Distributed Kalman Filtering.
IEEE Transactions on Signal Processing
Academic article
-
Meireles Elias, Vitor Rosa;
Gogineni, Vinay Chakravarthi;
Martins, Wallace;
Werner, Stefan.
(2022)
Kernel Regression over Graphs using Random Fourier Features.
IEEE Transactions on Signal Processing
Academic article
-
Gratton, Cristiano;
Kumar Dasanadoddi Venkategowda, Naveen;
Arablouei, Reza;
Werner, Stefan.
(2022)
Privacy-Preserved Distributed Learning With Zeroth-Order Optimization.
IEEE Transactions on Information Forensics and Security
Academic article
-
Mirzaeifard, Reza;
Gogineni, Vinay Chakravarthi;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2022)
Dynamic Graph Topology Learning with Non-Convex Penalties.
Academic chapter/article/Conference paper
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Clustered Graph Federated Personalized Learning.
IEEE conference proceedings
Academic chapter/article/Conference paper
2021
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2021)
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective.
IEEE Statistical Signal Processing Workshop (SSP)
Academic article
-
Gogineni, Vinay Chakravarthi;
Rosa Meireles Elias, Vitor;
Werner, Stefan.
(2021)
Graph Diffusion Kernel LMS using Random Fourier Features.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Langberg, Geir Severin Rakh Elvatun;
Naumova, Valeriya;
Nygård, Jan Franz;
Mari, Nygård,;
Grasmair, Markus.
(2021)
Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2021)
Energy optimization through cooperative storage management: A calculus of variations approach.
Renewable Energy
Academic article
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Securing the Distributed Kalman Filter Against Curious Agents.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
D'Avila Barros, Bettina;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2021)
Quickest Detection of Stochastic False Data Injection Attacks with Unknown Parameters.
IEEE Signal Processing Society
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Langberg, Geir Severin Rakh Elvatun;
Naumova, Valeriya;
Nygård, Jan Franz;
Nygård, Mari;
Grasmair, Markus.
(2021)
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective.
IEEE Signal Processing Society
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2021)
Optimization Strategy for Energy Allocation through Cooperative Storage Management.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Gratton, Cristiano;
Kumar Dasanadoddi Venkategowda, Naveen;
Arablouei, Reza;
Werner, Stefan.
(2021)
Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Gauthier, Francois;
Gratton, Cristiano;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2021)
Privacy-Preserving Distributed Learning with Nonsmooth Objective Functions.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Håkansson, Victor Wattin;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2021)
Optimal scheduling of multiple spatio-temporally dependent observations using age-of-information.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Performance of clustered multitask diffusion LMS suffering from inter-node communication delays.
IEEE Transactions on Circuits and Systems - II - Express Briefs
Academic article
-
Meireles Elias, Vitor Rosa;
Gogineni, Vinay Chakravarthi;
Martins, Wallace;
Werner, Stefan.
(2021)
Kernel regression on graphs in random Fourier features space.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Talebi, Sayedpouria;
Werner, Stefan;
Gupta, Vijay;
Huang, Yih-Fang.
(2021)
On Stability and Convergence of Distributed Filters.
IEEE Signal Processing Letters
Academic article
-
Gogineni, Vinay Chakravarthi;
Meireles Elias, Vitor Rosa;
Martins, Wallace;
Werner, Stefan.
(2021)
Graph diffusion kernel LMS using random Fourier features.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Elias, Vitor R. M.;
Gogineni, Vinay Chakravarthi;
Martins, Wallace;
Werner, Stefan.
(2021)
Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
2020
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2020)
Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments.
IEEE Transactions on Circuits and Systems - II - Express Briefs
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2020)
Fractional-Order Correntropy Adaptive Filters for Distributed Processing of α -Stable Signals.
IEEE Signal Processing Letters
Academic article
-
Gogineni, Vinay Chakravarthi;
Talebi, Sayedpouria;
Werner, Stefan;
Mandic, Danilo.
(2020)
Fractional-order correntropy adaptive filters for distributed processing of alpha-stable signals.
IEEE Signal Processing Letters
Academic article
-
Gratton, Cristiano;
Dasanadoddi Venkategowda, Naveen Kumar;
Arablouei, Reza;
Werner, Stefan.
(2020)
Distributed Learning with Non-Smooth Objective
Functions.
Academic chapter/article/Conference paper
-
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2020)
Privacy-Preserving Distributed Maximum Consensus.
IEEE Signal Processing Letters
Academic article
-
M. Elias, Vitor R.;
Martins, Wallace A.;
Werner, Stefan.
(2020)
Extended Adjacency and Scale-Dependent Graph Fourier Transform via Diffusion Distances.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Talebi, Sayedpouria;
Werner, Stefan;
Mandic, Danilo.
(2020)
Quaternion-valued distributed filtering and control.
IEEE Transactions on Automatic Control
Academic article
-
Håkansson, Victor Wattin;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2020)
Optimal Scheduling Policy for Spatio-temporally Dependent Observations using Age-of-Information.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Chen, Kewei;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2020)
Nonlinear adaptive filtering with kernel set-membership approach.
IEEE Transactions on Signal Processing
Academic article
-
Gogineni, Vinay Chakravarthi;
Talebi, Sayedpouria;
Werner, Stefan;
Mandic, Danilo.
(2020)
Fractional-order correntropy filters for tracking dynamic systems in alpha-stable environments.
IEEE Transactions on Circuits and Systems - II - Express Briefs
Academic article
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2020)
Cost-aware renewable energy management: Centralized vs. distributed generation.
Renewable Energy
Academic article
2019
-
Talebi, Sayed Pouria;
Werner, Stefan.
(2019)
Distributed Kalman filtering in presence of unknown outer network actuations.
IEEE Control Systems Letters
Academic article
-
Håkansson, Victor Wattin;
Dasanadoddi Venkategowda, Naveen Kumar;
Kraemer, Frank Alexander;
Werner, Stefan.
(2019)
Cost-Aware Dual Prediction Scheme for Reducing Transmissions at IoT Sensor Nodes.
IEEE Signal Processing Society
Academic chapter/article/Conference paper
-
Singh, Adarsh Pal;
Jain, Vivek;
Chaudhari, Sachin;
Kraemer, Frank Alexander;
Werner, Stefan;
Garg, Vishal.
(2019)
Machine Learning-based Occupancy Estimation Using Multivariate Sensor Nodes.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2019)
Storage management in a shared solar environment with time-varying electricity prices.
IEEE Internet of Things Journal
Academic article
-
Talebi, Sayed Pouria;
Werner, Stefan.
(2019)
Distributed Kalman Filtering and Control Through Embedded Average Consensus Information Fusion.
IEEE Transactions on Automatic Control
Academic article
-
Shastri, Anish;
Jain, Vivek;
Chaudhari, Sachin;
Chouhan, Shailesh Singh;
Werner, Stefan.
(2019)
Improving accuracy of the Shewhart-based data-reduction in IoT nodes using piggybacking.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa;
Talebi, Sayed Pouria.
(2019)
Price-aware renewable energy management with transmission losses.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Antonio-Rodrigues, Emilio;
Werner, Stefan;
Lopez-Valcarce, Roberto;
Wichman, Risto.
(2019)
MMSE filter design for full-duplex filter-and-forward MIMO relays under limited dynamic range.
Signal Processing
Academic article
-
Talebi, Sayed Pouria;
Werner, Stefan;
Li, Shengxi;
Mandic, Danilo.
(2019)
Tracking dynamic systems in alpha-stable environments.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan;
Mandic, Danilo.
(2019)
Complex-Valued Nonlinear Adaptive Filters With
Applications in α-Stable Environments.
IEEE Signal Processing Letters
Academic article
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2019)
Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Gratton, Cristiano;
Dasanadoddi Venkategowda, Naveen Kumar;
Arablouei, Reza;
Werner, Stefan.
(2019)
Consensus-based Distributed Total Least-squares Estimation Using Parametric Semidefinite Programming.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
2018
-
Chen, Kewei;
Werner, Stefan;
Kuh, Anthony;
Huang, Yih-Fang.
(2018)
Nonlinear online learning - A kernel SMF approach.
IEEE Signal Processing Society
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan.
(2018)
Distributed Kalman filtering: Consensus, diffusion, and
mixed.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2018)
Renewable energy optimization with centralized and distributed generation.
IEEE Signal Processing Society
Academic chapter/article/Conference paper
-
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2018)
Privacy-preserving distributed precoder design for decentralized estimation.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2018)
Cooperative renewable energy management with distributed generation.
IEEE Signal Processing Society
Academic chapter/article/Conference paper
-
Gratton, Cristiano;
Dasanadoddi Venkategowda, Naveen Kumar;
Arablouei, Reza;
Werner, Stefan.
(2018)
Distributed Ridge Regression with Feature Partitioning.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan;
Koivunen, Visa.
(2018)
Kalman Filtering and Clustering in Sensor Networks
.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan;
Mandic, Danilo.
(2018)
Distributed adaptive filtering of alpha-stable signals.
IEEE Signal Processing Letters
Academic article
-
Kashyap, Neelabh;
Werner, Stefan;
Huang, Yih-Fang.
(2018)
Decentralized PMU-Assisted Power System State Estimation With Reduced Interarea Communication.
IEEE Journal on Selected Topics in Signal Processing
Academic article
2017
-
Mathecken, Pramod;
Riihonen, Taneli;
Werner, Stefan;
Wichman, Risto.
(2017)
Constrained Phase Noise Estimation in OFDM Using Scattered Pilots Without Decision Feedback.
IEEE Transactions on Signal Processing
Academic article
-
Antonio-Rodrigues, Emilio;
Werner, Stefan;
Riihonen, Taneli;
Wichman, Risto.
(2017)
Robust Filter Design for Full-Duplex Relay Links under Limited Dynamic Range.
IEEE conference proceedings
Academic chapter/article/Conference paper
Journal publications
-
Mirzaeifard, Reza;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Anders Stefan.
(2023)
Robust phase retrieval with non-convex penalties.
Asilomar Conference on Signals, Systems and Computers. Conference Record
Academic article
-
Gogineni, Vinay Chakravarthi;
Sambangi, Ramesh;
Alex, Daney;
Mula, Subrahmanyam;
Werner, Anders Stefan.
(2023)
Algorithm and Architecture Design of Random Fourier Features-Based Kernel Adaptive Filters.
IEEE Transactions on Circuits and Systems I: Regular Papers
Academic article
-
Moradi, Ashkan;
Venkategowda, Naveen K. D.;
Werner, Anders Stefan.
(2023)
Total Variation-Based Distributed Kalman Filtering for Resiliency Against Byzantines.
IEEE Sensors Journal
Academic article
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2023)
Personalized Graph Federated Learning With Differential Privacy.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Mirzaeifard, Reza;
Gogineni, Vinay Chakravarthi;
Kumar Dasanadoddi Venkategowda, Naveen;
Werner, Anders Stefan.
(2023)
Distributed quantile regression with non-convex sparse penalties.
IEEE Statistical Signal Processing Workshop (SSP)
Academic article
-
Lari, Ehsan;
Gogineni, Vinay Chakravarthi;
Arablouei, Reza;
Werner, Anders Stefan.
(2023)
Resource-efficient federated learning robust to communication errors.
IEEE Statistical Signal Processing Workshop (SSP)
Academic article
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan.
(2023)
Networked personalized federated learning using reinforcement learning.
IEEE International Conference on Communications
Academic article
-
Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Anders Stefan.
(2023)
Communication-efficient and privacy-aware distributed learning.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2023)
Asynchronous online federated learning with reduced communication requirements.
IEEE Internet of Things Journal
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Gauthier, Francois;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions.
IEEE Internet of Things Magazine (IoTM)
Academic article
-
Håkansson, Victor Wattin;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan;
Varshney, Pramod K..
(2022)
Optimal Transmission-Constrained Scheduling of Spatio-Temporally Dependent Observations Using Age-of-Information.
IEEE Sensors Journal
Academic article
-
Talebi, Sayedpouria;
Darvishi, Hossein;
Werner, Stefan;
Salvo Rossi, Pierluigi.
(2022)
Gradient-Descent Adaptive Filtering Using Gradient Adaptive Step-Size.
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Academic article
-
Alex, Daney;
Gogineni, Vinay Chakravarthi;
Mula, Subrahmanyam;
Werner, Stefan.
(2022)
Novel VLSI Architecture for Fractional-Order Correntropy Adaptive Filtering Algorithm.
IEEE Transactions on Very Large Scale Integration (vlsi) Systems
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Communication-Efficient Online Federated Learning Strategies for Kernel Regression.
IEEE Internet of Things Journal
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression.
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
Academic article
-
Håkansson, Victor Wattin;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan;
Varshney, Pramod K..
(2022)
Optimal Scheduling of Multiple Spatiotemporally Dependent Observations for Remote Estimation Using Age of Information.
IEEE Internet of Things Journal
Academic article
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Talebi, Sayedpouria;
Werner, Stefan.
(2022)
Privacy-Preserving Distributed Kalman Filtering.
IEEE Transactions on Signal Processing
Academic article
-
Meireles Elias, Vitor Rosa;
Gogineni, Vinay Chakravarthi;
Martins, Wallace;
Werner, Stefan.
(2022)
Kernel Regression over Graphs using Random Fourier Features.
IEEE Transactions on Signal Processing
Academic article
-
Gratton, Cristiano;
Kumar Dasanadoddi Venkategowda, Naveen;
Arablouei, Reza;
Werner, Stefan.
(2022)
Privacy-Preserved Distributed Learning With Zeroth-Order Optimization.
IEEE Transactions on Information Forensics and Security
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2021)
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective.
IEEE Statistical Signal Processing Workshop (SSP)
Academic article
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2021)
Energy optimization through cooperative storage management: A calculus of variations approach.
Renewable Energy
Academic article
-
Gogineni, Vinay Chakravarthi;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Performance of clustered multitask diffusion LMS suffering from inter-node communication delays.
IEEE Transactions on Circuits and Systems - II - Express Briefs
Academic article
-
Talebi, Sayedpouria;
Werner, Stefan;
Gupta, Vijay;
Huang, Yih-Fang.
(2021)
On Stability and Convergence of Distributed Filters.
IEEE Signal Processing Letters
Academic article
-
Elias, Vitor R. M.;
Gogineni, Vinay Chakravarthi;
Martins, Wallace;
Werner, Stefan.
(2021)
Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2020)
Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments.
IEEE Transactions on Circuits and Systems - II - Express Briefs
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2020)
Fractional-Order Correntropy Adaptive Filters for Distributed Processing of α -Stable Signals.
IEEE Signal Processing Letters
Academic article
-
Gogineni, Vinay Chakravarthi;
Talebi, Sayedpouria;
Werner, Stefan;
Mandic, Danilo.
(2020)
Fractional-order correntropy adaptive filters for distributed processing of alpha-stable signals.
IEEE Signal Processing Letters
Academic article
-
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2020)
Privacy-Preserving Distributed Maximum Consensus.
IEEE Signal Processing Letters
Academic article
-
M. Elias, Vitor R.;
Martins, Wallace A.;
Werner, Stefan.
(2020)
Extended Adjacency and Scale-Dependent Graph Fourier Transform via Diffusion Distances.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Talebi, Sayedpouria;
Werner, Stefan;
Mandic, Danilo.
(2020)
Quaternion-valued distributed filtering and control.
IEEE Transactions on Automatic Control
Academic article
-
Chen, Kewei;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2020)
Nonlinear adaptive filtering with kernel set-membership approach.
IEEE Transactions on Signal Processing
Academic article
-
Gogineni, Vinay Chakravarthi;
Talebi, Sayedpouria;
Werner, Stefan;
Mandic, Danilo.
(2020)
Fractional-order correntropy filters for tracking dynamic systems in alpha-stable environments.
IEEE Transactions on Circuits and Systems - II - Express Briefs
Academic article
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2020)
Cost-aware renewable energy management: Centralized vs. distributed generation.
Renewable Energy
Academic article
-
Talebi, Sayed Pouria;
Werner, Stefan.
(2019)
Distributed Kalman filtering in presence of unknown outer network actuations.
IEEE Control Systems Letters
Academic article
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2019)
Storage management in a shared solar environment with time-varying electricity prices.
IEEE Internet of Things Journal
Academic article
-
Talebi, Sayed Pouria;
Werner, Stefan.
(2019)
Distributed Kalman Filtering and Control Through Embedded Average Consensus Information Fusion.
IEEE Transactions on Automatic Control
Academic article
-
Antonio-Rodrigues, Emilio;
Werner, Stefan;
Lopez-Valcarce, Roberto;
Wichman, Risto.
(2019)
MMSE filter design for full-duplex filter-and-forward MIMO relays under limited dynamic range.
Signal Processing
Academic article
-
Talebi, Sayed Pouria;
Werner, Stefan;
Mandic, Danilo.
(2019)
Complex-Valued Nonlinear Adaptive Filters With
Applications in α-Stable Environments.
IEEE Signal Processing Letters
Academic article
-
Talebi, Sayed Pouria;
Werner, Stefan;
Mandic, Danilo.
(2018)
Distributed adaptive filtering of alpha-stable signals.
IEEE Signal Processing Letters
Academic article
-
Kashyap, Neelabh;
Werner, Stefan;
Huang, Yih-Fang.
(2018)
Decentralized PMU-Assisted Power System State Estimation With Reduced Interarea Communication.
IEEE Journal on Selected Topics in Signal Processing
Academic article
-
Mathecken, Pramod;
Riihonen, Taneli;
Werner, Stefan;
Wichman, Risto.
(2017)
Constrained Phase Noise Estimation in OFDM Using Scattered Pilots Without Decision Feedback.
IEEE Transactions on Signal Processing
Academic article
Part of book/report
-
Müller, Katinka;
Gogineni, Vinay Chakravarthi;
Orlandic, Milica;
Werner, Anders Stefan.
(2023)
Autoencoder-based hyperspectral anomaly detection using kernel principal component pre-processing.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Mirzaeifard, Reza;
Dasanadoddi Venkategowda, Naveen Kumar;
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2022)
ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Decentralized Graph Federated Multitask Learning for Streaming Data.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Gauthier, Francois;
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Talebi, Sayedpouria;
Werner, Stefan;
Xia, Yili;
Took, Clive Cheong;
Mandic, Danilo P..
(2022)
A joint particle filter for quaternion-valued alpha-stable signals via the characteristic function.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Kumar Dasanadoddi Venkategowda, Naveen;
Werner, Stefan.
(2022)
Communication-efficient and privacy-aware distributed LMS algorithm.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Naumova, Valeriya;
Werner, Stefan;
Huang, Yih-Fang.
(2022)
Graph Kernel Recursive Least-Squares Algorithms.
IEEE Signal Processing Society
Academic chapter/article/Conference paper
-
Mirzaeifard, Reza;
Gogineni, Vinay Chakravarthi;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2022)
Dynamic Graph Topology Learning with Non-Convex Penalties.
Academic chapter/article/Conference paper
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Clustered Graph Federated Personalized Learning.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Rosa Meireles Elias, Vitor;
Werner, Stefan.
(2021)
Graph Diffusion Kernel LMS using Random Fourier Features.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Langberg, Geir Severin Rakh Elvatun;
Naumova, Valeriya;
Nygård, Jan Franz;
Mari, Nygård,;
Grasmair, Markus.
(2021)
Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Securing the Distributed Kalman Filter Against Curious Agents.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
D'Avila Barros, Bettina;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2021)
Quickest Detection of Stochastic False Data Injection Attacks with Unknown Parameters.
IEEE Signal Processing Society
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Langberg, Geir Severin Rakh Elvatun;
Naumova, Valeriya;
Nygård, Jan Franz;
Nygård, Mari;
Grasmair, Markus.
(2021)
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective.
IEEE Signal Processing Society
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2021)
Optimization Strategy for Energy Allocation through Cooperative Storage Management.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Gratton, Cristiano;
Kumar Dasanadoddi Venkategowda, Naveen;
Arablouei, Reza;
Werner, Stefan.
(2021)
Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Gauthier, Francois;
Gratton, Cristiano;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2021)
Privacy-Preserving Distributed Learning with Nonsmooth Objective Functions.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Håkansson, Victor Wattin;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2021)
Optimal scheduling of multiple spatio-temporally dependent observations using age-of-information.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Meireles Elias, Vitor Rosa;
Gogineni, Vinay Chakravarthi;
Martins, Wallace;
Werner, Stefan.
(2021)
Kernel regression on graphs in random Fourier features space.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Meireles Elias, Vitor Rosa;
Martins, Wallace;
Werner, Stefan.
(2021)
Graph diffusion kernel LMS using random Fourier features.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Gratton, Cristiano;
Dasanadoddi Venkategowda, Naveen Kumar;
Arablouei, Reza;
Werner, Stefan.
(2020)
Distributed Learning with Non-Smooth Objective
Functions.
Academic chapter/article/Conference paper
-
Håkansson, Victor Wattin;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2020)
Optimal Scheduling Policy for Spatio-temporally Dependent Observations using Age-of-Information.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Håkansson, Victor Wattin;
Dasanadoddi Venkategowda, Naveen Kumar;
Kraemer, Frank Alexander;
Werner, Stefan.
(2019)
Cost-Aware Dual Prediction Scheme for Reducing Transmissions at IoT Sensor Nodes.
IEEE Signal Processing Society
Academic chapter/article/Conference paper
-
Singh, Adarsh Pal;
Jain, Vivek;
Chaudhari, Sachin;
Kraemer, Frank Alexander;
Werner, Stefan;
Garg, Vishal.
(2019)
Machine Learning-based Occupancy Estimation Using Multivariate Sensor Nodes.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Shastri, Anish;
Jain, Vivek;
Chaudhari, Sachin;
Chouhan, Shailesh Singh;
Werner, Stefan.
(2019)
Improving accuracy of the Shewhart-based data-reduction in IoT nodes using piggybacking.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa;
Talebi, Sayed Pouria.
(2019)
Price-aware renewable energy management with transmission losses.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan;
Li, Shengxi;
Mandic, Danilo.
(2019)
Tracking dynamic systems in alpha-stable environments.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2019)
Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Gratton, Cristiano;
Dasanadoddi Venkategowda, Naveen Kumar;
Arablouei, Reza;
Werner, Stefan.
(2019)
Consensus-based Distributed Total Least-squares Estimation Using Parametric Semidefinite Programming.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Chen, Kewei;
Werner, Stefan;
Kuh, Anthony;
Huang, Yih-Fang.
(2018)
Nonlinear online learning - A kernel SMF approach.
IEEE Signal Processing Society
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan.
(2018)
Distributed Kalman filtering: Consensus, diffusion, and
mixed.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2018)
Renewable energy optimization with centralized and distributed generation.
IEEE Signal Processing Society
Academic chapter/article/Conference paper
-
Dasanadoddi Venkategowda, Naveen Kumar;
Werner, Stefan.
(2018)
Privacy-preserving distributed precoder design for decentralized estimation.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2018)
Cooperative renewable energy management with distributed generation.
IEEE Signal Processing Society
Academic chapter/article/Conference paper
-
Gratton, Cristiano;
Dasanadoddi Venkategowda, Naveen Kumar;
Arablouei, Reza;
Werner, Stefan.
(2018)
Distributed Ridge Regression with Feature Partitioning.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan;
Koivunen, Visa.
(2018)
Kalman Filtering and Clustering in Sensor Networks
.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Antonio-Rodrigues, Emilio;
Werner, Stefan;
Riihonen, Taneli;
Wichman, Risto.
(2017)
Robust Filter Design for Full-Duplex Relay Links under Limited Dynamic Range.
IEEE conference proceedings
Academic chapter/article/Conference paper
Teaching
Courses
Media
2022
-
LectureMoradi, Ashkan; Dasanadoddi Venkategowda, Naveen Kumar; Talebi, Sayedpouria; Werner, Stefan. (2022) Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries. IEEE 55th Asilomar Conference on Signals, Systems, and Computers (Asilomar 2021) , Virtual conference 2021-10-31 - 2021-11-03
2019
-
LectureMoradi, Ashkan; Dasanadoddi Venkategowda, Naveen Kumar; Werner, Stefan. (2019) Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering. 2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2019-12-15 - 2019-12-18
2018
-
PosterSteinsland, Ingelin; Mortensen, Markus; Kraemer, Frank Alexander; Werner, Stefan. (2018) Towards Smart, Resource-Constrained Environmental Sensor Networks. European Geosciences Union General Assembly 2018 2018-04-08 - 2018-04-13