Rohit Parasnis
Computer Science · Purdue University West Lafayette
Publications
11
Citations
35
Est. group size
~1
Recurring co-author estimate
Active years
11
Publishing since 2015
Rohit Parasnis works on mathematical foundations of decision-making and networked systems, including topics like distributed optimization (methods for training algorithms across many computers), analysis of stochastic processes (random systems that evolve over time, such as Markov chains), how opinions spread through social networks, privacy-preserving data methods, and mathematical modeling of disease spread (such as COVID-19). The work is largely theoretical, combining tools from probability, control theory, and network science.
Publication output was minimal or absent from 2017–2021 but increased starting in 2022, peaking in 2024, suggesting a recent growth in research activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A Perron–Frobenius Theorem for Strongly Aperiodic Stochastic Chains
IEEE Transactions on Automatic Control · 2025
- Usefulness of the Age-Structured SIR Dynamics in Modelling COVID-19
arXiv (Cornell University) · 2022
- A Perron-Frobenius Theorem for Strongly Aperiodic Stochastic Chains
arXiv (Cornell University) · 2022
- arXiv (Cornell University)×4
- IEEE Journal of Selected Topics in Signal Processing×1
- IEEE Internet of Things Journal×1
- IEEE Transactions on Automatic Control×1
- Sai Aparna Aketi
Computer Science · Purdue University West Lafayette
- Feijie Wu
Computer Science · Purdue University West Lafayette
- Dong-Jun Han
Computer Science · Purdue University West Lafayette
- Christopher G. Brinton
Computer Science · Purdue University West Lafayette
- Wenzhi Fang
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile