RISC: Current Research

Humans & Machines

Details

Network dynamics

Many systems can be modeled as dynamical systems that interact through an underlying graphical structure. We are interested in modeling pheonomena such as the spread of epidemics, network influence, 

 
  • H. Mahdavifar, A. Beirami, B. Touri, and J.S. Shamma, "Global games with noisy information sharing", IEEE Transactions on Signal and Information Processing over Networks, accepted 2017. (to appear)​ link
  • K. Paarporn, C. Eksin, J.S. Weitz, and J.S. Shamma, "Networked SIS epidemics with awareness", IEEE Transactions on Computational Social Systems, September 2017, pp. 93103.​ link​
  • S. Ruf, M. Egerstedt, and J.S. Shamma, "Herdable systems over signed graphs", American Control Conference, June 2017. (to appear)

Game theory for intelligent systems

Much of our work employs game theory as a framework to analyze and design the interactions between intelligent decision makers. Areas of interest include models of learning among other learners, distributed matching markets, cyber-security, and smart-grid management.
  
  • J.R. Marden and J.S. Shamma, 'Game theory and distributed control', Handbook of Game Theory, Volume 4, H. Peyton Young and S. Zamir (eds), Elsevier, 2015. link​
  • D. Hamza and J. S. Shamma, "BLMA: A Blind Matching Algorithm with Application to Cognitive Radio Networks", IEEE Journal on Selected Areas in Communications, February 2017, pp. 302–316. link
  • L. Li and J.S. Shamma, "Efficient computation of discounted asymmetric information zero-sum stochastic games", 54th IEEE Conference on Decision and Control, December 2015. link​
  • F.M. Aziz, J.S. Shamma, and G.L. Stüber, "Jammer type estimation in LTE with a smart jammer repeated game", IEEE Transactions on Vehicular Technology, August 2017, pp. 74227431. link​

Crowd modeling & control

Motivated by the increasing occurrence of panic stampedes during mass events, we have begun a project involving modeling and simulating the impact of panic on crowd dynamics. In particular, we adapt control theoretic methods to introduce contagious panic and pushing behaviors, resulting in a more realistic crowd dynamics model behaviors.