Mehrdad Moharrami
Reinforcement learning, Markov decision processes, and random graphs
Listed alphabetically by last name.
Reinforcement learning, Markov decision processes, and random graphs
Distributed graph algorithms, randomized algorithms, and computational epidemiology
Pseudorandomness, coding theory, and cryptography
Computational geometry, combinatorial optimization, and algorithmic game theory
Listed alphabetically by last name.
Advisor: Sourya Roy
Property testing, online algorithms, imitation learning
Advisor: Sriram Pemmaraju
Distributed systems, distributed graph algorithms
Advisor: Sriram Pemmaraju
Approximation algorithms, computational epidemiology
Advisor: Mehrdad Moharrami
Reinforcement learning, preference learning, multi-agent systems
Advisor: Kasturi Varadarajan
Computational geometry, relational algorithms, subspace approximation
Advisor: Mehrdad Moharrami
Deep learning, biomedical signal analysis
Recent alumni (2017–2026), listed by graduation year.
2026
Advisor: Sriram Pemmaraju
Incoming Postdoctoral Researcher with Ami Paz · LISN, CNRS & Université Paris-Saclay
2021
Advisor: Sriram Pemmaraju
Postdoctoral fellow · Aalto University → Assistant Professor · IIT Madras
2020
Advisor: Kasturi Varadarajan
Postdoctoral researcher · University of Bergen → Assistant Professor · IIT Jodhpur
2019
Advisor: Kasturi Varadarajan
Postdoctoral researcher · University of Bergen → Assistant Professor · Portland State University