Journal Articles

Submitted

  1. S. ESHGHI et al., “Spread, then Target, and Advertise in Waves: Optimal Budget Allocation Across Advertising Channels,” in Submitted to the IEEE Transactions on Network Science and Engineering (TNSE), 2018.


  2. D. Papakostas, S. ESHGHI, D. Katsaros, and L. Tassiulas, “Energy-Aware Backbone Formation in Military Multilayer Ad Hoc Networks,” in Ad Hoc Networks (Minor Revisions Requested).


Published

  1. S. ESHGHI, S. Sarkar, and S. S. Venkatesh, “Visibility-aware optimal contagion of malware epidemics,” in IEEE Transactions on Automatic Control (TAC), vol. 62, no. 10, pp. 5205–5212, 2017.


  2. S. ESHGHI, M. H. R. Khouzani, S. Sarkar, and S. S. Venkatesh, “Optimal patching in clustered malware epidemics,” in IEEE/ACM Transactions on Networking (ToN), vol. 24, no. 1, pp. 283–298, 2016.


  3. S. ESHGHI, M. H. R. Khouzani, S. Sarkar, N. B. Shroff, and S. S. Venkatesh, “Optimal energy-aware epidemic routing in DTNs,” in IEEE Transactions on Automatic Control (TAC), vol. 60, no. 6, pp. 1554–1569, 2015.


Conferences and Workshops

Submitted

  1. D. Papakostas, S. ESHGHI, D. Katsaros, and L. Tassiulas, “Distributed algorithms for multi-layer connected edge-dominating sets ,” in Submitted to 57th IEEE Conference on Decision and Control (CDC) and IEEE Control Systems Letters (L-CSS).


  2. S. ESHGHI and L. Tassiulas, “Whistleblowing Games in Networks,” in Submitted to 57th IEEE Conference on Decision and Control (CDC).


  3. R. Bellamy et al., “A computational framework for modelling inter-group behaviour using psychological theory,” in Submitted to SPIE Defense + Commercial Sensing 2018.


Published

  1. S. ESHGHI and L. Tassiulas, “Innovation, Cheating, and Whistleblowing - a Game Theoretic Perspective,” in 52nd Annual Conference on Information Sciences and Systems (CISS), 2018.


  2. S. Stein, S. ESHGHI, S. Maghsudi, L. Tassiulas, R. E. Bellamy, and N. R. Jennings, “Influence Maximisation in Partially Observable Social Networks,” in Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations (DAIS), 2017.


  3. S. ESHGHI et al., “Social Group Stability and Fracture,” in 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton ’17), 2017.


  4. S. ESHGHI and L. Tassiulas, “Efficient Dynamic Centrality Metrics for Election Advertising - A Case Study,” in Yale Day of Data 2017 (Poster), 2017.


  5. S. ESHGHI et al., “Spread, then Target, and Advertise in Waves: Optimal Capital Allocation Across Advertising Channels,” in Proceedings of the IEEE Information Theory and Applications Workshop (ITA), 2017.


  6. D. Mott, T. Kelley, C. Giammanco, S. ESHGHI, and Y. Zhang, “A Framework for Modelling the Effect of Emotion on Uncritical Reasoning,” in Workshop on Knowledge Systems for Coalition Operations (KSCO), 2017.


  7. S. ESHGHI et al., “Heuristic Algorithms for Influence Maximization in Partially Observable Social Networks,” in International Workshop on Social Influence Analysis (SocInf), 2017.


  8. S. Stein, S. ESHGHI, S. Maghsudi, L. Tassiulas, R. E. Bellamy, and N. R. Jennings, “Heuristic Algorithms for Influence Maximization in Partially Observable Social Networks,” in 7th International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS), 2017.


  9. S. ESHGHI et al., “Mathematical Models for Social Group Behavior,” in Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations (DAIS), 2017.


  10. S. ESHGHI, S. Sarkar, and S. S. Venkatesh, “Visibility-aware optimal contagion of malware epidemics,” in Proceedings of the IEEE Information Theory and Applications Workshop (ITA), 2015.


  11. S. ESHGHI and R. M. Patil, “Optimal battery pricing and energy management for microgrids,” in 2015 American Control Conference (ACC), 2015, pp. 4994–5001.


  12. M. H. R. Khouzani, S. ESHGHI, S. Sarkar, and S. S. Venkatesh, “Optimal patching in clustered epidemics of malware,” in Proceedings of the IEEE Information Theory and Applications Workshop (ITA), 2012.


  13. M. H. R. Khouzani, S. ESHGHI, S. Sarkar, N. B. Shroff, and S. S. Venkatesh, “Optimal energy-aware epidemic routing in DTNs,” in Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2012, pp. 175–182.


Thesis

  1. S. ESHGHI, “Optimal control of epidemics in the presence of heterogeneity,” PhD thesis, University of Pennsylvania, 2015.


Patents

  1. S. ESHGHI, R. Patil, and R. Sharma, “Optimal battery pricing and energy management for localized energy resources,” US Patent 20,160,093,002. Mar-2016.


Invited Talks

  1. Influence in Social Systems

    1. Yale University, Yale Institute for Network Science Seminar, Yale Institute for Network Science (YINS), July 2017
  2. Optimal Control of Epidemics (and Opinions) in the Presence of Heterogeneity

    1. Cornell University, Electrical and Computer Engineering Department, July 2015 (remotely)
    2. Georgetown University, Bansal Lab, Biology Department, July 2016
    3. Yale University, Yale Institute for Network Science Seminar, Yale Institute for Network Science (YINS), July 2016
    4. University of Pennsylvania, Complex Systems Group, Electrical and Systems Engineering Department, July 2016
    5. University of Georgia, Rohani Lab, Biology Department, July 2016
    6. Pennsylvania State University, Ferrari Lab, Center for Infectious Disease Dynamics (CIDD), Biology Department, July 2016 (remotely)
    7. Harvard University, Center for Communicable Disease Dynamics (CCDD), Harvard T.H. Chan School of Public Health, July 2016