I am a postdoctoral research associate in the Division of Applied Mathematics at Brown University. Before coming to Brown, I obtained my Ph.D. from the Department of Electrical Communication Engineering at the Indian Institute of Science, Bengaluru, India.
I am broadly interested in applied probability. My current research aims to understand the behavior of interacting particle systems on sparse random graphs. My Ph.D. research focused on the study of large-time behavior and metastability in models of mean-field interacting particle systems, with applications to communication networks. Click here for a brief CV.
Email: sarath_yasodharan AT brown.edu
A sufficient condition for the quasipotential to be the rate function of the invariant measure of countable-state mean-field interacting particle systems (with Rajesh Sundaresan)
Advances in Applied Probability (to appear), 2023+
Revenue Optimal Bandwidth Allocation in a Class of Multihop Networks: Algorithms and Asymptotic Optimality (with Anurag Kumar)
IEEE/ACM Transactions on Networking, 31(5):2251–2266, October 2023
Bus priority lane in Bengaluru: A study on its effectiveness and driver stress (with P. N. Karthik, Nihesh Rathod, Wilson Lobo, Ajeesh Sahadevan, Rajesh Sundaresan, and Pratik Verma)
Transport Policy, 139:39–62, August 2023
Part of the special issue on ``City Transportation – Sustainable City Transportation in the Indian Subcontinent’’
Large-time behaviour and the second eigenvalue problem for finite state mean-field interacting particle systems (with Rajesh Sundaresan)
Advances in Applied Probability, 55(1):85–125, March 2023
Large deviations of mean-field interacting particle systems in a fast varying environment (with Rajesh Sundaresan)
The Annals of Applied Probability, 32(3):1666-1704, June 2022
COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation (with Siva Athreya, Giridhara R. Babu, Aniruddha Iyer, Mohammed Minhaas B. S., Nihesh Rathod, Sharad Shriram, Rajesh Sundaresan, and Nidhin Koshy Vaidhiyan)
Sankhya B, 84:472–494, October 2021
City-Scale Agent-Based Simulators for the Study of Non-Pharmaceutical Interventions in the Context of the COVID-19 Epidemic (with Shubhada Agrawal, Siddharth Bhandari, Anirban Bhattacharjee, Anand Deo, Narendra M. Dixit, Prahladh Harsha, Sandeep Juneja, Poonam Kesarwani, Aditya Krishna Swamy, Preetam Patil, Nihesh Rathod, Ramprasad Saptharishi, Sharad Shriram, Piyush Srivastava, Rajesh Sundaresan, and Nidhin Koshy Vaidhiyan)
Journal of the Indian Institute of Science, 100(4):809-847, December 2020
A Multi-Team Multi-Model Collaborative COVID-19 Forecasting Hub for India (with Anuriddha Adiga et al.)
Winter Simulation Conference, December 2023
The Four Levels of Fixed-Points in Mean-Field Models (with Rajesh Sundaresan)
National Conference on Communications (NCC), July 2021
Nonzero-sum Adversarial Hypothesis Testing Games (with Patrick Loiseau)
Neural Information Processing Systems (NeurIPS), December 2019
Stability and delay analysis of delay tolerant networks with random message arrivals (with Vineeth Bala Sukumaran and Chandramani Singh)
International Conference on Communication Systems and Networks (COMSNETS), January 2017
Impact of weeknight and weekend curfews using mobility data: A case study of Bengaluru Urban (with Aniruddha Adiga, Siva Athreya, Madhav Marathe, Jagadish Midthala, Nihesh Rathod, Rajesh Sundaresan, and Srinivasan Venkataramanan)
Technical Report, January 2022
Strategies to Mitigate COVID-19 Resurgence Assuming Immunity Waning: A Study for Karnataka, India (with Aniruddha Adiga, Siva Athreya, Bryan Lewis, Madhav V. Marathe, Nihesh Rathod, Rajesh Sundaresan, Samarth Swarup, and Srinivasan Venkatramanan)
Technical Report, May 2021
COVID-19 Epidemic Study II: Phased Emergence From the Lockdown in Mumbai (with Prahladh Harsha, Sandeep Juneja, Preetam Patil, Nihesh Rathod, Ramprasad Saptharishi, Sharad Sriram, Piyush Srivastava, Rajesh Sundaresan, and Nidhin Koshy Vaidhiyan)
Technical Report, June 2020
A sufficient condition for the quasipotential to be the rate function of the invariant measure of countable-state mean-field interacting particle systems
Joint Mathematics Meetings, January 2023 [Slides]
Bangalore Probability Seminar, April 2022 [Slides] [Video]
Mean-field interacting particle systems: Limit laws and large deviations (with Rajesh Sundaresan)
ACM SIGMETRICS / IFIP PERFORMANCE Tutorial, June 2022 [Slides]