Gaurav Nanda
Computer Science · Purdue University West Lafayette
Publications
90
Citations
1,141
Est. group size
~11
Recurring co-author estimate
Active years
41
Publishing since 1986
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.
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
- Can Eye-Tracking Capture Human Reasoning During Text Classification?
2026
- A machine learning based semi-automated framework for house of quality analysis
Computers & Industrial Engineering · 2025
- A machine learning based framework for identifying consumer product injuries from social media data
Injury · 2025
- Expenditure Incurred in Odisha to Raise the Quality of Elementary Education: A Trend Analysis
INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS · 2025
- Examining the Role of Customer Reviews in Online Purchasing Using Eye Tracking
Communications in computer and information science · 2025
- A Machine Learning Based Semi-Automated Framework for House of Quality Analysis
SSRN Electronic Journal · 2025
- Advances in machine learning and signal processing enabling expansion of after-etch metrology applications
2025
- Examining Gender Differences in Engineering Students’ Reflections on Combating Systemic Racism
2025
- A Machine Learning Based Framework for Identifying Consumer Product Injuries from Social Media Data
SSRN Electronic Journal · 2025
- Examining the Efficacy of Large Language Models for Injury Surveillance
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2025
- Comparing Llm-Based Topic Modeling and Sentiment Analysis with Human Evaluation of Consumer Insights
SSRN Electronic Journal · 2025
- Beyond data: nurturing critical thinking through reflective practices in a data science learning community
Cogent Education · 2025
- Reflective Pathways: Integrating Empathy Into the STEM Student Experiences
Future in Educational Research · 2025
- Comparing human text classification performance and explainability with large language and machine learning models using eye-tracking
Scientific Reports · 2024
- Probabilistic Ensemble Framework for Injury Narrative Classification
AI · 2024
- 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
- Yaqing Wang
Computer Science · Purdue University West Lafayette
- Daniel Dakota
Computer Science · Indiana University
- Dan Goldwasser
Computer Science · Purdue University West Lafayette
- Rajkumar Pujari
Computer Science · Purdue University West Lafayette
- Goonmeet Bajaj
Computer Science · The Ohio State University
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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