LabCompass

Gaurav Nanda

Computer Science · Purdue University West Lafayette

Established · publishing since 1986Rising activity

Publications

90

Citations

1,141

Est. group size

~11

Recurring co-author estimate

Active years

41

Publishing since 1986

Research summary
AI-generated

Gaurav Nanda's research applies machine learning, natural language processing, and eye-tracking methods to real-world text and behavioral data, including consumer product injury reports, online reviews, and classification tasks. Much of the work compares how humans and AI systems (including large language models) perform on text classification and reasoning tasks, with applications spanning safety surveillance, quality analysis, and engineering education. The group also explores explainable AI and reflective/equity-focused practices in engineering and data science education.

Machine learning for text classificationEye-tracking and human reasoning analysisLarge language models and NLP applicationsInjury surveillance and consumer safety analyticsEngineering education and reflective learning practices

Publication output has grown substantially over the last decade, rising from a handful of papers per year around 2018-2020 to 15 in 2025, indicating an increasing pace of activity 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 8.8/year recently
2017: 7 publications172018: 2 publications182019: 2 publications192020: 5 publications202021: 5 publications212022: 9 publications222023: 11 publications232024: 8 publications242025: 15 publications15252026: 1 publication26
Recent publications
Publishes in
  • SSRN Electronic Journal×4
  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting×3
  • Advances in Building Energy Research×2
  • Automation, collaboration, and e-services×2
  • Educational Data Mining×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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