LabCompass

Raghu Pasupathy

Decision Sciences · Purdue University West Lafayette

Mid career · publishing since 2003Rising activity

Publications

107

Citations

1,645

Est. group size

Recurring co-author estimate

Active years

24

Publishing since 2003

Research summary
AI-generated

Raghu Pasupathy works on stochastic optimization and simulation methods, developing algorithms and statistical tools for making decisions under uncertainty when only noisy simulated or sampled data are available. His work spans optimization theory (e.g., trust-region and Frank-Wolfe methods for stochastic problems), statistical inference from simulation output (batching, confidence intervals, uncertainty quantification), and applications to areas like risk estimation and stochastic programming. This research is largely mathematical and methodological, aimed at improving the reliability and efficiency of algorithms used in simulation-based decision making.

Stochastic and simulation optimizationStatistical inference from simulation output (batching, confidence intervals)Sample average approximation and stochastic programmingOptimization algorithm complexity and convergence analysisUncertainty quantification

Publication output has fluctuated over the past decade with a dip around 2020-2021, followed by a moderate rebound in recent years, averaging about 4 publications per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 4.0/year recently
2017: 3 publications172018: 10 publications10182019: 6 publications192020: 2 publications202021: 3 publications212022: 3 publications222023: 4 publications232024: 7 publications242025: 4 publications252026: 2 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×15
  • SIAM Journal on Optimization×4
  • 2022 Winter Simulation Conference (WSC)×3
  • Journal of Simulation×2
  • Mathematics of Operations Research×2
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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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