Gaurav Nanda
Gaurav Nanda
Assistant Professor, Purdue University
Verified email at - Homepage
Cited by
Cited by
Evaluation of traditional and nontraditional optimization techniques for determining well parameters from step-drawdown test data
MK Jha, A Kumar, G Nanda, G Bhatt
Journal of Hydrologic Engineering 11 (6), 617-630, 2006
Analyzing Large Collections of Open-Ended Feedback from MOOC Learners Using LDA Topic Modeling and Qualitative Analysis
G Nanda, KA Douglas, DR Waller, HE Merzdorf, D Goldwasser
IEEE Transactions on Learning Technologies, 2021
PPE Compliance Detection using Artificial Intelligence in Learning Factories
B Balakreshnan, G Richards, G Nanda, H Mao, R Athinarayanan, ...
Procedia Manufacturing 45, 277-282, 2020
Decision‐making models, decision support, and problem solving
MR Lehto, G Nanda, G Nanda
Handbook of human factors and ergonomics, 159-202, 2021
Bayesian decision support for coding occupational injury data
G Nanda, KM Grattan, MDT Chu, LK Davis, MR Lehto
Journal of Safety Research 57, 71-82, 2016
Determining hydraulic characteristics of production wells using genetic algorithm
MK Jha, G Nanda, MP Samuel
Water resources management 18, 353-377, 2004
Intelligent human-machine approaches for assigning groups of injury codes to accident narratives
G Nanda, K Vallmuur, M Lehto
Safety science 125, 104585, 2020
Improving autocoding performance of rare categories in injury classification: Is more training data or filtering the solution?
G Nanda, K Vallmuur, M Lehto
Accident Analysis & Prevention 110, 115-127, 2018
Semi-automated text mining strategies for identifying rare causes of injuries from emergency room triage data
G Nanda, K Vallmuur, M Lehto
IISE Transactions on Healthcare Systems Engineering 9 (2), 157-171, 2019
Applying text mining to identify relevant literature in food science: Cold denaturation as a case study
H Helmick, G Nanda, S Ettestad, A Liceaga, JL Kokini
Journal of Food Science 86 (11), 4851-4864, 2021
Machine Learning-Based Decision Support System for Early Detection of Breast Cancer
M Li, G Nanda, S Chhajedss, R Sundararajan
Indian Journal of Pharmaceutical Education and Research 54 (3), S705 - S715, 2020
Understanding Learners’ Opinion about Participation Certificates in Online Courses using Topic Modeling
G Nanda, NM Hicks, DR Waller, KA Douglas, D Goldwasser
Educational Data Mining 11, 376-382, 2018
User requirement analysis for an online collaboration tool for senior industrial engineering design course
G Nanda, MR Lehto, SY Nof
Human Factors and Ergonomics in Manufacturing & Service Industries 24 (5 …, 2014
Work-in-Progress: Using Latent Dirichlet Allocation to uncover themes in student comments from peer evaluations of teamwork
G Nanda, S Wei, A Katz, C Brinton, M Ohland
2022 ASEE Annual Conference & Exposition, 2022
A Case Study of Discussion Forums in Two Programming MOOCs on Different Platforms
DR Waller, KA Douglas, G Nanda
2019 ASEE Annual Conference & Exposition, 2019
Improving the Autocoding of Injury Narratives Using a Combination of Machine Learning Methods and Natural Language Processing Techniques
G Nanda
Purdue University, 2017
Influence of building parameters on energy efficiency levels: A Bayesian network study
LR Senarathne, G Nanda, R Sundararajan
Advances in Building Energy Research 16 (6), 780-805, 2022
Machine Learning Based Decision Support System for Categorizing MOOC Discussion Forum Posts
G Nanda, K Douglas
Educational Data Mining (EDM) 12, 619-622, 2019
Evaluating HUBzero (TM) as a Collaboration Platform for Reliability Engineering
G Nanda, J Tan, P Auyeung, M Lehto
IIE Annual Conference Proceedings, 1-6, 2012
Evaluating the Coverage and Depth of Latent Dirichlet Allocation Topic Model in Comparison with Human Coding of Qualitative Data: The Case of Education Research
G Nanda, A Jaiswal, H Castellanos, Y Zhou, A Choi, AJ Magana
Machine Learning and Knowledge Extraction 5 (2), 473-490, 2023
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