Journal Articles

Submitted

    To appear

    1. Distributed algorithms for multi-layer connected edge dominating sets

      By

      D Papakostas,

      S ESHGHI,

      D Katsaros,

      L Tassiulas,

      To appear in IEEE Control Systems Letters (L-CSS)

      2019


    2. Spread, then target, and advertise in waves: optimal budget allocation across advertising channels

      By

      S ESHGHI,

      VM Preciado,

      S Sarkar,

      SS Venkatesh,

      Q Zhao,

      R D’Souza,

      A Swami,

      To appear in IEEE Transactions on Network Science and Engineering (TNSE)


    Published

    1. Energy-aware backbone formation in military multilayer ad hoc networks

      By

      D Papakostas,

      S ESHGHI,

      D Katsaros,

      L Tassiulas,

      Ad Hoc Networks

      vol. 81, no. , pp. 17–44, Elsevier, 2018


    2. Visibility-aware optimal contagion of malware epidemics

      By

      S ESHGHI,

      S Sarkar,

      SS Venkatesh,

      IEEE Transactions on Automatic Control (TAC)

      vol. 62, no. 10, pp. 5205 - 5212, , 2017


    3. Optimal patching in clustered malware epidemics

      By

      S ESHGHI,

      MHR Khouzani,

      S Sarkar,

      SS Venkatesh,

      IEEE/ACM Transactions on Networking (ToN)

      vol. 24, no. 1, pp. 283–298, IEEE, 2016


    4. Optimal energy-aware epidemic routing in DTNs

      By

      S ESHGHI,

      MHR Khouzani,

      S Sarkar,

      NB Shroff,

      SS Venkatesh,

      IEEE Transactions on Automatic Control (TAC)

      vol. 60, no. 6, pp. 1554–1569, IEEE, 2015


    Conferences and Workshops

    Submitted

    1. Energy-aware distributed edge domination of multilayer networks

      By

      D Papakostas,

      S ESHGHI,

      D Katsaros,

      L Tassiulas,

      Submitted to 2019 American Control Conference (ACC)

      2019


    Published

    1. Distributed algorithms for multi-layer connected edge-dominating sets

      By

      D Papakostas,

      S ESHGHI,

      D Katsaros,

      L Tassiulas,

      To be presented at 57th IEEE Conference on Decision and Control (CDC)

      2018


    2. Whistleblowing games in networks

      By

      S ESHGHI,

      L Tassiulas,

      To be presented at 57th IEEE Conference on Decision and Control (CDC)

      2018


    3. Innovation, cheating, and whistleblowing - a game theoretic perspective

      By

      S ESHGHI,

      L Tassiulas,

      In 52nd Annual Conference on Information Sciences and Systems (CISS)

      2018


    4. A computational framework for modelling inter-group behaviour using psychological theory

      By

      RE Bellamy,

      GB Colombo,

      S ESHGHI,

      G De Mel,

      C Giammanco,

      R Morris,

      DG Rand,

      L Turner,

      RM Whitaker,

      GR Williams,

      In SPIE Defense + Commercial Sensing 2018

      2018


    5. Spread, then target, and advertise in waves: optimal capital allocation across advertising channels

      By

      S ESHGHI,

      VM Preciado,

      S Sarkar,

      SS Venkatesh,

      Q Zhao,

      R D’Souza,

      A Swami,

      In Proceedings of the IEEE Information Theory and Applications Workshop (ITA)

      2017


    6. Efficient dynamic centrality metrics for election advertising - a case study

      By

      S ESHGHI,

      L Tassiulas,

      In Yale Day of Data 2017 (Poster)

      2017


    7. Influence maximisation in partially observable social networks

      By

      S Stein,

      S ESHGHI,

      S Maghsudi,

      L Tassiulas,

      RE Bellamy,

      NR Jennings,

      In Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations (DAIS)

      2017


    8. Heuristic algorithms for influence maximization in partially observable social networks

      By

      S Stein,

      S ESHGHI,

      S Maghsudi,

      L Tassiulas,

      RE Bellamy,

      NR Jennings,

      In 7th International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS)

      2017


    9. A framework for modelling the effect of emotion on uncritical reasoning

      By

      D Mott,

      T Kelley,

      C Giammanco,

      S ESHGHI,

      Y Zhang,

      In Workshop on Knowledge Systems for Coalition Operations (KSCO)

      2017


    10. Social group stability and fracture

      By

      S ESHGHI,

      GR Williams,

      GB Colombo,

      L Turner,

      DG Rand,

      RM Whitaker,

      L Tassiulas,

      In 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

      2017


    11. Mathematical models for social group behavior

      By

      S ESHGHI,

      GR Williams,

      GB Colombo,

      L Turner,

      DG Rand,

      RM Whitaker,

      L Tassiulas,

      In Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations (DAIS)

      2017


    12. Heuristic algorithms for influence maximization in partially observable social networks

      By

      S ESHGHI,

      S Maghsudi,

      V Restocchi,

      S Stein,

      L Tassiulas,

      RE Bellamy,

      NR Jennings,

      In International Workshop on Social Influence Analysis (SocInf)

      2017


    13. Visibility-aware optimal contagion of malware epidemics

      By

      S ESHGHI,

      S Sarkar,

      SS Venkatesh,

      In Proceedings of the IEEE Information Theory and Applications Workshop (ITA)

      2015


    14. Optimal battery pricing and energy management for microgrids

      By

      S ESHGHI,

      RM Patil,

      In 2015 American Control Conference (ACC)

      2015


    15. Optimal patching in clustered epidemics of malware

      By

      MHR Khouzani,

      S ESHGHI,

      S Sarkar,

      SS Venkatesh,

      In Proceedings of the IEEE Information Theory and Applications Workshop (ITA)

      2012


    16. Optimal energy-aware epidemic routing in DTNs

      By

      MHR Khouzani,

      S ESHGHI,

      S Sarkar,

      NB Shroff,

      SS Venkatesh,

      In Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)

      2012


    Thesis

    1. Optimal control of epidemics in the presence of heterogeneity

      By

      S ESHGHI,

      University of Pennsylvania

      2015


    Patents

    1. Optimal battery pricing and energy management for localized energy resources

      By

      S ESHGHI,

      RM Patil,

      R Sharma,

      US Patent 20,160,093,002

      2016


    Invited Talks

    1. Whistleblowing

      1. You scratch my back, and (maybe) I'll scratch yours: whistleblowing games on networks
        1. Yale University, Yale Institute for Network Science Seminar, Yale Institute for Network Science (YINS), June 2018
    2. Social Influence

      1. Decision-making tools for influence propagation in social systems
        1. University of Michigan, Communication and Signal Processing Seminar, Electrical Engineering and Computer Science Department, July 2018
      2. Social influence maximization: a synthesis
        1. Yale University, Human Nature Lab (HNL), Yale Institute for Network Science (YINS), March 2018
      3. Influence in social systems
        1. Yale University, Yale Institute for Network Science Seminar, Yale Institute for Network Science (YINS), July 2017
    3. Epidemic Control

      1. 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
        8. Yale University, Crawford Lab, Yale School of Public Health, July 2018