Dr

Konstantinos Gatsis PhD

Departmental Lecturer

  • Biography
  • Research
  • Publications
  • DPhil Opportunities

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.

Personal webpage

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

Publications

Selected recent publications:
  • K. Gatsis and G. J. Pappas. Statistical learning for analysis of networked control systems over unknown channels. 2019. Preprint. Submitted
  • A. Tsiamis, K. Gatsis, and G. J. Pappas. State-secrecy codes for networked linear systems. IEEE Transactions on Automatic Control, 2020. To appear
  • M. Eisen, M. M. Rashid, K. Gatsis, D. Cavalcanti, N. Himayat, and A. Ribeiro. Control aware radio resource allocation in low latency wireless control systems. IEEE Internet of Things Journal, Vol. 6, Issue 5, pp. 7878-7890, 2019.
  • M. Eisen, K. Gatsis, G. J. Pappas, and A. Ribeiro. Learning in wireless control systems over non-stationary channels. IEEE Transactions on Signal Processing, Vol. 67, Issue 5, pp. 1123-1137, 2019.

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.