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 focuses on enabling safe, secure, and autonomous applications in the Internet-of-Things by developing novel control, learning, and optimization tools.
Most Recent Publications
Statistical learning for analysis of networked control systems over unknown channels
Gatsis K & Pappas GJ (2021), AUTOMATICA, 125
Resource allocation in wireless control systems via deep policy gradient
Lima V et al. (2020), Proceedings of Signal Processing Advances in Wireless Communications
Cloud-based quadratic optimization with partially homomorphic encryption
Alexandru AB et al. (2020), IEEE Transactions on Automatic Control
Latency-reliability tradeoffs for state estimation
Gatsis K, Hassani H & Pappas GJ (2020), IEEE Transactions on Automatic Control
Latency-Reliability Tradeoffs for State Estimation
Gatsis K, Hassani H & Pappas GJ (2020), IEEE Transactions on Automatic Control, 1-1
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
Most Recent Publications
Statistical learning for analysis of networked control systems over unknown channels
Gatsis K & Pappas GJ (2021), AUTOMATICA, 125
Resource allocation in wireless control systems via deep policy gradient
Lima V et al. (2020), Proceedings of Signal Processing Advances in Wireless Communications
Cloud-based quadratic optimization with partially homomorphic encryption
Alexandru AB et al. (2020), IEEE Transactions on Automatic Control
Latency-reliability tradeoffs for state estimation
Gatsis K, Hassani H & Pappas GJ (2020), IEEE Transactions on Automatic Control
Latency-Reliability Tradeoffs for State Estimation
Gatsis K, Hassani H & Pappas GJ (2020), IEEE Transactions on Automatic Control, 1-1
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.
Most Recent Publications
Statistical learning for analysis of networked control systems over unknown channels
Gatsis K & Pappas GJ (2021), AUTOMATICA, 125
Resource allocation in wireless control systems via deep policy gradient
Lima V et al. (2020), Proceedings of Signal Processing Advances in Wireless Communications
Cloud-based quadratic optimization with partially homomorphic encryption
Alexandru AB et al. (2020), IEEE Transactions on Automatic Control
Latency-reliability tradeoffs for state estimation
Gatsis K, Hassani H & Pappas GJ (2020), IEEE Transactions on Automatic Control
Latency-Reliability Tradeoffs for State Estimation
Gatsis K, Hassani H & Pappas GJ (2020), IEEE Transactions on Automatic Control, 1-1
