LabCompass

Nilay Shah

Engineering · The Ohio State University

OpenAlex ORCID
Established · publishing since 1991
Carbon Dioxide Capture TechnologiesIntegrated Energy Systems OptimizationNeuroblastoma Research and TreatmentsHybrid Renewable Energy SystemsBuilding Energy and Comfort Optimization

Publications

181

Citations

14,903

Est. group size

—

Recurring co-author estimate

Active years

36

Publishing since 1991

Research summary
AI-generated

Nilay Shah works on process systems engineering, focusing on optimizing energy, water, and manufacturing systems under uncertainty. Recent work spans renewable hydrogen trade and export infrastructure, carbon capture, energy storage scheduling, resilient pharmaceutical supply chains, and sustainable technologies like lithium extraction membranes and rainwater harvesting systems, often using mathematical optimization and stochastic modeling techniques.

Energy systems optimization and hydrogen tradeCarbon capture and sustainable process technologiesSupply chain design under uncertainty (pharmaceuticals, manufacturing)Stochastic and robust optimization methodsWater and resource management systems

Publication output has fluctuated over the past decade, declining from a peak around 2017-2019 to a low point around 2021, before rising again to a moderate level in 2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 8.8/year recently
2017: 24 publications24172018: 17 publications182019: 23 publications192020: 11 publications202021: 5 publications212022: 13 publications222023: 8 publications232024: 7 publications242025: 15 publications252026: 1 publication26
Recent publications
Publishes in
  • Applied Energy×8
  • Computer-aided chemical engineering/Computer aided chemical engineering×7
  • Energy Procedia×7
  • Systems and Control Transactions×6
  • Cancer Research×5
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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 19, 2026.

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