I am a Lecturer (Assistant Professor) at the Department of Engineering Science in the University of Oxford, UK. I am a member of the Control Engineering Group.
I work on control, optimization, learning, and security for autonomous applications in networked systems. You will find more information on my research page and my publications page.
Before joining Oxford, 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 worked in the GRASP lab under the supervision of Professor George J. Pappas.
If you are interested in pursuing a graduate program at Oxford under my supervision, feel free to contact me and also read more here..
Google Scholar: link
Curriculum vitae: link
E-mail: konstantinos.gatsis@eng.ox.ac.uk
Office: Information Engineering Building, 4th floor, Room 50.17
Phone number: +44 (0) 1865 273148
Mailing Address: Department of Engineering Science,
University of Oxford, Parks Road, Oxford, OX1 3PJ
News:
• 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.