I am an assistant professor at Industrial and Systems Engineering Department and Electrical and Computer Engineering Department (by courtesy) in Texas A&M University. I received my Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania in 2015 under the supervision of Alejandro Ribeiro. I was subsequently a Postdoctoral Fellow at the 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. For further information, see Curriculum Vitae and Google Scholar.
The research interests of Networked Multiagent Systems (NetMaS) lab focus on understanding and designing networked interactions of agents in social and technological settings. Examples of such complex systems are found in energy systems (microgrid, demand response), public health (infectious diseases), autonomous robot systems, communication (uplink power allocation), and in many other cyber-physical systems. Broadly, theoretical interests of the lab are at the confluence of game theory, distributed optimization, signal processing and control theory. We invite you to visit the Research section for a more detailed explanation of research themes of the lab. You can find the specific research papers in Publications.
Recent Preprints and Publications
- Control of Learning in Anti-Coordination Network Games with Keith Paarporn (to appear at TCNS).
- Moving Beyond a Peak Mentality: Behavior-Driven Shapes in COVID-19 Outbreaks with J.S. Weitz, S.W. Park, and J. Dushoff.
- Reacting to outbreaks in neighboring localities with J.S. Weitz and M. Ndeffo-Mbah.
- Systematic biases in disease forecasting – the role of behavior change with K. Paarporn and J.S. Weitz.
- Decentralized Learning-aware Communication and Communication-aware Mobility Control for the Target Assignment Problem with Sarper Aydin
- Optimal evolutionary control for artificial selection on molecular phenotypes with Armita Nourmohammad.
- Distributed Estimation via Network Regularization with Lingzhou Hong and Alfredo Garcia.
I am looking for outstanding PhD candidates with a solid background on Engineering, or Applied Mathematics. The candidate is expected conduct theoretical and algorithmic research on complex networks, multi-agent systems, game theory, and optimization. The application areas will mainly be autonomous systems, epidemics, and smart grids.