Nazmul Haque
Computer Science · Purdue University West Lafayette
Publications
55
Citations
522
Est. group size
~2
Recurring co-author estimate
Active years
57
Publishing since 1970
Nazmul Haque's work spans traffic engineering and transportation safety (such as vehicle-following behavior, pedestrian movement modeling, and crash prediction) alongside applied machine learning and deep learning projects in image classification for varied domains including medical imaging, agriculture, and forensics. The publication record also includes materials science topics like rare-earth oxides and composite fracture toughness, suggesting collaboration across multiple disciplines. This breadth indicates a research approach centered on applying machine learning and statistical modeling techniques to diverse real-world classification and prediction problems.
Publication output has been variable over the past decade, with a dip around 2020-2022 followed by a notable increase in 2023-2025, suggesting recent growing activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Supervised machine learning identifies impaired mitochondrial quality control in β-cells with development of type 2 diabetes
npj Systems Biology and Applications · 2026
- Leveraging Sentiment Analysis on E-commerce Based Product Reviews Using Machine Learning
Communications in computer and information science · 2025
- Does Deep Learning Architectures Model Human‐Like Intelligent Response in Asymmetric Car‐Following Behaviour? A Novel Framework for Learning Acceleration–Deceleration Decisions
IET Intelligent Transport Systems · 2025
- Modeling Chaotic Pedestrian Behavior Using Chaos Indicators and Supervised Learning
arXiv (Cornell University) · 2025
- A review on following behavioral models: Regular to connected autonomous vehicle heterogeneity
IATSS Research · 2024
- Garbage Classification Using a Transfer Learning with Parameter Tuning
2024
- Bloodstain Classification in Forensic Analysis Using Optimized 3D CNN
2024
- Early Diagnosis and Classification of Alzheimer's Disease Using Convolutional Neural Network Based on MRI Images
2024
- Early Detection of Glaucoma from Cropped Fundus Images Using Transfer-Learned Convolutional Neural Network
2024
- DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios
arXiv (Cornell University) · 2024
- Enhanced Osteoarthritis Classification through Transfer Learning and Hyperparameter-Tuned Multi-Layer Ensemble Models
2024
- Video Sensor-Based Automatic License Plate Recognition of Static and Moving Vehicles
International Research Journal of Innovations in Engineering and Technology · 2023
- Revolutionizing Pest Detection for Sustainable Agriculture: A Transfer Learning Fusion Network with Attention-Triplet and Multi-Layer Ensemble
2023
- A review on recent applications and future prospects of rare earth oxides in corrosion and thermal barrier coatings, catalysts, tribological, and environmental sectors
Ceramics International · 2022
- A Review on Optical Applications, Prospects, and Challenges of Rare-Earth Oxides
ACS Applied Electronic Materials · 2021
- Journal of Transportation Safety & Security×2
- Transportation Research Board 96th Annual MeetingTransportation Research Board×2
- Transportation Research Board 95th Annual MeetingTransportation Research Board×2
- Elsevier eBooks×2
- arXiv (Cornell University)×2
- Hui Hui Wang
Computer Science · Purdue University West Lafayette
- Ryan Anderson
Computer Science · Indiana University
- Nikolaos Bourbakis
Computer Science · Purdue University West Lafayette
- Yan Sun
Computer Science · Purdue University West Lafayette
- Keith Redmill
Engineering · 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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