LabCompass

Jitesh H. Panchal

Engineering · Purdue University West Lafayette

Mid career · publishing since 2002

Publications

301

Citations

3,023

Est. group size

~14

Recurring co-author estimate

Active years

25

Publishing since 2002

Research summary
AI-generated

Jitesh H. Panchal's research focuses on engineering design methods, including how decisions are made early in the design process, how to allocate resources when designing complex systems, and how demand for evolving products (like software or tech that updates frequently) can be modeled. Recent work also explores using AI tools such as large language models and reinforcement learning to support design tasks, and testing frameworks for AI-based systems like autonomous vehicles. This research aims to help engineers make better decisions when designing products and systems under uncertainty.

Engineering design decision-makingSystems architecting and resource allocationAI and machine learning in design (LLMs, reinforcement learning)Product demand modeling and evolving systemsTesting and evaluation of AI-based systems

Publication output has been fairly steady over the last decade, with a peak around 2018 followed by a gradual decline and stabilization at roughly 10-14 papers per year in recent years.

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

Publication cadence
Publications per year over the last 10 years — averaging 10.2/year recently
2017: 10 publications172018: 30 publications30182019: 20 publications192020: 14 publications202021: 19 publications212022: 11 publications222023: 11 publications232024: 13 publications242025: 14 publications252026: 2 publications26
Recent publications
Publishes in
  • Journal of Mechanical Design×20
  • Journal of Computing and Information Science in Engineering×15
  • arXiv (Cornell University)×10
  • SSRN Electronic Journal×3
  • Simulation foundations, methods and applications×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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