Konstantinos Gatsis 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 the Internet-of-Things (IoT). 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

Eng Sci Oxford

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:
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.
October 2020: Two MEng students, starting their 4th Year Projects on the areas of secure control systems, and learning for control, respectively.
December 2019: Joining Oxford.
November 2019: Preprint on statistical learning for analysis of networked control systems over unknown channels (link).
October 2019: Call for Open Invited Session on 'Control for Next Generation Wireless Networks' at the IFAC World Congress, Berlin, Germany, July 12-17, 2020 -- more info here.
April 2019: Paper on resource allocation for low-latency wireless control in collaboration with Intel Corp. appearing at IEEE Internet of Things Journal (link).
December 2018: Co-organized a Workshop on Learning for Control at CDC 2018, Miami Beach, Florida. For more information please visit the workshop website.