Khushboo Agarwal

Research Scholar

Industrial Engineering and Operations Research                                   
Indian Institute of Technology Bombay   

Curriculum Vitae 


Prof. Veeraruna Kavitha 

Research Interests

Stochastic processes, Applied Probability Theory, Stochastic Approximation, Behavioral aspects in game theory,
Mean field games, Epidemiology

Academic Background

  • M.Sc-Ph.D. in Operations Research (2017- present), IE&OR, IIT Bombay, Mumbai
  • B.Sc (Hons.) Mathematics (2014-2017), Miranda House, University of Delhi, Delhi

Academic achievements

  • Awarded with Prime Minister's Research Fellowship (PMRF) : May 2020
  • Awarded Charpak Lab Scholarship (2019) for working as a research intern at INRIA, France under the supervision of Prof. Bruno Tuffin

Accepted Publications

  • Kapsikar, Suyog, et al. "Controlling Fake News by Collective Tagging: A Branching Process Analysis." IEEE Control Systems Letters 5.6 (2020): 2108-2113. Link 
  • Agarwal, Khushboo, Patrick Maillé, and Bruno Tuffin. "Impact of Heterogeneous Neutrality Rules with Competitive Content Providers." 2021 IFIP IM. IEEE, 2021. Link 
  • Agarwal, Khushboo, and Veeraruna Kavitha. "Co-Virality of Competing Content over OSNs?." 2021 IFIP Networking Conference (IFIP Networking). IEEE, 2021. Link 
  • Singh, Vartika, Khushboo Agarwal, Shubham, and Veeraruna Kavitha. "Evolutionary Vaccination Games with premature vaccines to combat ongoing deadly pandemic." EAI VALUETOOLS, 2021. Link
  • Agarwal, Khushboo, and Veeraruna Kavitha. "Saturated total-population dependent branching process and viral markets." 2022 IEEE 61st Conference on Decision and Control (CDC). IEEE, 2022. Link
  • Agarwal, Khushboo, and Veeraruna Kavitha. "Single-out fake posts: participation game and its design." (accepted at ACC 2023) Link
  • Agarwal, Khushboo, and Veeraruna Kavitha. "Robust fake-post detection against real-coloring adversaries." (accepted at IFIP Performance 2023) ""  

Publications under Preparation

  • Agarwal, Khushboo, and Veeraruna Kavitha. "New results in branching processes using stochastic approximation." Link


  • Presented the paper titled "Co-Virality of Competing Content over OSNs?" at IFIP Networking conference, 2021 (online) Slides Video
  • Presented the paper titled "Saturated total-population dependent branching process and viral markets" at CDC, 2022 (offline)


  • Core: Optimization Models; Operations Analysis; Computer Programming and Algorithms; Engineering Statistics, ​Probabilistic Models; Service and Infrastructure Systems; Linear Systems; Decision Analysis and Game Theory; Optimization Techniques; Introduction to Stochastic Models
  • Electives: Discrete Event System Simulation; Quantitative Models for Supply Chain Management; Random Graphs: Theory and Applications; Systems Dynamics Modeling & Analysis; Online Learning; Integer Programming: Theory and Computations; ​Advanced Stochastic Processes for Operations Research;  Networks, Games and Algorithms; Advanced Stochastic Processes for Operations Research II; Applied Mathematical Analysis in Engineering; Optimal Control Systems; Introduction to Stochastic Optimization, Markov decision processes

Teaching Assistantship

  • Topics in Industrial Engineering and Operations Research (IE 802) : Autumn 2021
  • Decision Analysis and Game Theory (IE 616) : Spring 2021, 2022
  • Probability & Stochastic Processes I (IE 621) : Autumn )2020, 2022)
  • Decision Analysis and Game Theory (IE 616) : Spring (2020, 2023)
  • Introduction to Stochastic Processes (NPTEL project) : November- March (2020, 2021)
  • Introduction to Stochastic Models (IE 611) : Autumn 2019


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