[CV]   [Research Statement]   [Teaching Statement]   [Diversity Statement]  

I use optimal control and game theory to study dynamic influence in networks.

In my PhD thesis (supervised by Saswati Sarkar and Santosh Venkatesh), I showed how more granular data can drastically change optimal epidemic policies & responses.


  • July '18 - Two of our papers were accepted to be presented at the IEEE Conference on Decisions and Control (CDC '18).
  • June '18 - I presented a YINS summer seminar on my work on whistleblowing games on networks.
  • June '18 - Our submission to IEEE Control Systems Letters (L-CSS) was accepted.

Representative papers

  1. S ESHGHI, M H R Khouzani, S Sarkar, N B Shroff, S S Venkatesh, “Optimal energy-aware epidemic routing in DTNs,” IEEE Transactions on Automatic Control (TAC), vol. 60, no. 6, pp. 1554–1569, 2015.
  2. S ESHGHI, M H R Khouzani, S Sarkar, S S Venkatesh, “Optimal patching in clustered malware epidemics,” IEEE/ACM Transactions on Networking (ToN), vol. 24, no. 1, pp. 283–298, 2016.
  3. S ESHGHI, S Sarkar, S S Venkatesh, “Visibility-aware optimal contagion of malware epidemics,” IEEE Transactions on Automatic Control (TAC), vol. 62, no. 10, pp. 5205–5212, 2017.


2016- Yale University
2015-16 Cornell University
2011-15 University of Pennsylvania
2014 NEC Labs America


2015 PhD University of Pennsylvania
2013 MSc University of Pennsylvania
2010 BSc Sharif University of Technology

Selected Awards

2017 3rd Place DataHack@Yale
2015 Runner Up Fels National Public Policy Challenge
2015 Winner Penn Public Policy Challenge
2010 PhD Research Fellowship University of Pennsylvania
2006 1st /600,000 Iran Azad university entrance exam (Math-Physics)
2006 1st /250,000
15th /400,000
Iran national university entrance exam (Foreign Languages / Math-Physics)