Biography
Dr. Konstantinos Gatsis joined the Department of Engineering Science in 2019 as a Departmental Lecturer. Before joining Oxford, he was a Postdoctoral Researcher in the Department of Electrical and Systems Engineering at the University of Pennsylvania, Philadelphia, from 2016 to 2019.
Dr. Gatsis received the PhD degree in electrical and systems engineering from the University of Pennsylvania in 2016. He received the Joseph, D’16, and Rosaline Wolf Award for Best Doctoral Dissertation from the department of Electrical and Systems Engineering at the University of Pennsylvania. He also received the 2014 O. Hugo Schuck Best Paper Award, the Student Best Paper Award at the 2013 American Control Conference, and was a Best Paper Award Finalist at the 2014 ACM/IEEE International Conference on Cyber-Physical Systems.
His research aims to enable safe, secure, and networked autonomous systems by developing novel control, learning, and communication tools. Application domains of interest include the Industrial Internet-of-Things and Smart Cities.
Research Interests
- Control for Next Generation Wireless Networks and the Internet-of-Things (IoT)
- Learning for Autonomous Systems
- Security and Privacy
- Control and Optimization
Research Groups
Recent Publications
Model-Free design of control systems over wireless fading channels
Lima V, Eisen M, Gatsis K & Ribeiro A (2022), Signal Processing, 197, 108540-108540
BibTeX
@article{modelfreedesign-2022/8,
title={Model-Free design of control systems over wireless fading channels},
author={Lima V, Eisen M, Gatsis K & Ribeiro A},
journal={Signal Processing},
volume={197},
number={108540},
pages={108540-108540},
publisher={Elsevier BV},
year = "2022"
}
Federated Reinforcement Learning at the Edge
Gatsis K (2021)
BibTeX
@misc{federatedreinfo-2021/12,
title={Federated Reinforcement Learning at the Edge},
author={Gatsis K},
year = "2021"
}
Adaptive scheduling for machine learning tasks over networks
Gatsis K (2021), Proceedings of the 2021 American Control Conference, 1224-1229
BibTeX
@inproceedings{adaptiveschedul-2021/7,
title={Adaptive scheduling for machine learning tasks over networks},
author={Gatsis K},
booktitle={2021 American Control Conference},
pages={1224-1229},
year = "2021"
}
Linear regression over networks with communication guarantees
Gatsis K (2021), Proceedings of the Conference on Learning for Dynamics and Control, 144(2021), 1-12
BibTeX
@inproceedings{linearregressio-2021/6,
title={Linear regression over networks with communication guarantees},
author={Gatsis K},
booktitle={3rd Annual Conference on Learning for Dynamics and Control Conference (L4DC 2021)},
pages={1-12},
year = "2021"
}
Adaptive Scheduling for Machine Learning Tasks over Networks
Gatsis K (2021), Proceedings of the American Control Conference, 2021-May, 1224-1229
BibTeX
@article{adaptiveschedul-2021/5,
title={Adaptive Scheduling for Machine Learning Tasks over Networks},
author={Gatsis K},
journal={Proceedings of the American Control Conference},
volume={2021-May},
pages={1224-1229},
year = "2021"
}
Resource allocation in large-scale wireless control systems with graph neural networks
Lima V, Eisen M, Gatsis K & Ribeiro A (2021), IFAC-PapersOnLine, 53(2), 2634-2641
BibTeX
@inproceedings{resourceallocat-2021/4,
title={Resource allocation in large-scale wireless control systems with graph neural networks},
author={Lima V, Eisen M, Gatsis K & Ribeiro A},
booktitle={21st IFAC World Congress (IFAC 2020)},
pages={2634-2641},
year = "2021"
}
Learning to control over unknown wireless channels
Gatsis K & Pappas GJ (2021), IFAC-PapersOnLine, 53(2), 2600-2605
BibTeX
@inproceedings{learningtocontr-2021/4,
title={Learning to control over unknown wireless channels},
author={Gatsis K & Pappas GJ},
booktitle={21st IFAC World Congress (IFAC 2020)},
pages={2600-2605},
year = "2021"
}
Non-cooperative distributed MPC with iterative learning
Hu H, Gatsis K, Morari M & Pappas GJ (2021), IFAC-PapersOnLine, 53(2), 5225-5232
BibTeX
@inproceedings{noncooperatived-2021/4,
title={Non-cooperative distributed MPC with iterative learning},
author={Hu H, Gatsis K, Morari M & Pappas GJ},
booktitle={21st IFAC World Congress},
pages={5225-5232},
year = "2021"
}
Statistical learning for analysis of networked control systems over unknown channels
Gatsis K & Pappas GJ (2021), AUTOMATICA, 125
BibTeX
@article{statisticallear-2021/3,
title={Statistical learning for analysis of networked control systems over unknown channels},
author={Gatsis K & Pappas GJ},
journal={AUTOMATICA},
volume={125},
number={ARTN 109386},
year = "2021"
}
Latency-Reliability Tradeoffs for State Estimation
Gatsis K, Hassani H & Pappas GJ (2021), IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 66(3), 1009-1023
BibTeX
@article{latencyreliabil-2021/3,
title={Latency-Reliability Tradeoffs for State Estimation},
author={Gatsis K, Hassani H & Pappas GJ},
journal={IEEE TRANSACTIONS ON AUTOMATIC CONTROL},
volume={66},
pages={1009-1023},
year = "2021"
}
DPhil Opportunities
If you are enthusiastic about research, feel comfortable working on new problems, and have a strong academic background, please consider applying to the DPhil program in our department and feel free to contact me about research opportunities.
