Update: In January 2024 I joined the School of Electronics and Computer Science at the University of Southampton. Please feel free to get in touch at k.gatsis@soton.ac.uk about openings.
My research interests are in networked autonomous systems, combining tools from control, optimization, machine learning, and communications. You will find more information on my research page and my publications page.
Previously from December 2019 to December 2023 I was a Lecturer (Assistant Professor) at the Department of Engineering Science in the University of Oxford, UK, where I currently remain as a Visiting Fellow. I was affiliated with the Control Engineering Group.
I was a Postdoctoral Researcher at the Department of Electrical and Systems Engineering at the University of Pennsylvania, where I also obtained my PhD degree (Dec. 2016). I was member of the GRASP lab under the supervision of Professor George J. Pappas. I obtained my undergraduate degree in Electrical and Computer Engineering from the University of Patras, Greece.
Google Scholar: link --- Curriculum vitae: link --- Resume: link
E-mail: k.gatsis@soton.ac.uk
Office: Building 53 Room 4047
Phone number: +44 23 8059 2387
Mailing Address: Cyber Physical Systems Research Group
School of Electronics and Computer Science
University of Southampton
B53 Room 4047, Highfield Campus
Southampton, SO17 1BJ
News:
• September 2024: Postdoc position open in my group. Details: here .
• July 2024: Exciting new papers to appear at ICML 2024 and UAI 2024 (spotlight)! By leading authors Keyan Miao and Ondrej Bajgar, on the topics of computationally efficient Neural ODEs, and computationally efficient Bayesian Inverse Reinforcement Learning, respectively.
• July 2024: Co-organizing L4DC 2024 taking place in Oxford, UK!
• June 2024: I presented a seminar at the University of Stuttgart on the intersection of Neural Netwwork Systems and Dynamical Systems.
• December 2023: Three papers to be presented at CDC 2023 in Singapore. Leading authors are students: Andre Bertolace, Oliver Gates, Liqun Zhao.
• May 2023: Received the 2023 IEEE Communications Society & Information Theory Society Joint Paper Award for the paper 'Age of Information in Random Access Channels' co-authored with collaborators at the Univ. of Pennsylvania - (IEEE announcement).
• March 2023: Keyan's paper on Neural ODEs accepted at the L4DC conference.
• February 2023: Seminar (in person), Control Group, University of Cambridge
• September 2021: Co-organizing a Workshop on Distributed Learning and Multi-agent Learning during the 60th IEEE Conference on Decision and Control in December (workshop page).
• May 2021: Seminar (remote), Information Processing and Communications Lab, Imperial College London
• April 2021: Seminar (remote), CRAN, Université de Lorraine (Nancy, France)
• April 2021: A large number of my publications have been included in the Best Readings in Communications in Wireless Networked Control (link).
• April 2021: Starting a new AIMS CDT student mini-project in the area of inverse reinforcement learning and safe learning (co-advised with Prof. Alessandro Abate, CS) .
• March 2021: New paper on Communication-Efficient Distributed Learning accepted at Learning for Dynamics & Control (L4DC) Conference (preprint).
• January 2021: New paper on Learning over Networks accepted at American Control Conference (preprint).
• December 2020: Talk (remote) at Oxford-Man Institute Machine Learning Workshop.
• December 2020: Journal paper on 'Statistical Learning for Analysis of Networked Control Systems' accepted at Automatica (link).
• December 2020: Seminar (remote) at University of Manchester, Control Systems Seminar.
• November 2020: Seminar (remote) at Toshiba Research Europe, UK.
• October 2020: Seminar (remote) at University of Sheffield, Department of Automatic Control and Systems Engineering.