LabCompass

Rohit Parasnis

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2015Rising activity

Publications

11

Citations

35

Est. group size

~1

Recurring co-author estimate

Active years

11

Publishing since 2015

Research summary
AI-generated

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.

Distributed optimization and stochastic gradient methodsMarkov chains and stochastic process theorySocial network opinion dynamicsPrivacy-preserving data analysisMathematical epidemic modeling

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

Publication cadence
Publications per year over the last 10 years — averaging 1.8/year recently
17181920212022: 2 publications222023: 2 publications232024: 4 publications4242025: 1 publication2526
Publishes in
  • 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
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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.

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