Scholar
Ceyhun Eksin
Google Scholar ID: hiNlMuMAAAAJ
Texas A&M University
Citations & Impact
Citations
1,116
H-index
14
i10-index
17
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Published several papers including 'The Lagrangian Method for Solving Constrained Markov Games', 'A Distributed and Coupled Policy Gradient Algorithm for Networked Multi-Agent Reinforcement Learning', etc.
Research Experience
- Currently an associate professor in the Industrial and Systems Engineering Department at Texas A&M University and also affiliated with the Electrical and Computer Engineering Department (by courtesy). Also a 2023 TAMIDS Career Initiation Fellow and recipient of NSF CAREER in 2023.
Education
- Received a Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania in 2015, supervised by Alejandro Ribeiro. Subsequently, a Postdoctoral Fellow at Georgia Institute of Technology, affiliated with both the School of Electrical & Computer Engineering and the School of Biological Sciences, hosted by Jeff S. Shamma and Joshua S. Weitz.
Background
- Research interests focus on understanding and designing networked interactions of agents in social and technological settings, such as energy systems, public health, autonomous robot systems, etc. Theoretical interests are at the confluence of game theory, distributed optimization, signal processing, and control theory.
Miscellany
- Looking for outstanding PhD candidates with a solid background in Engineering or Applied Mathematics to conduct theoretical and algorithmic research on control, multi-agent systems, game theory, and optimization.
Co-authors