Profile
About
I'm Bipin Saha (please call me Bipin). I grew up in Bangladesh and now live in Greensboro, North Carolina. My work sits at the intersection of computer vision and robotics, and has moved from deploying real-world AI systems as a Machine Learning Engineer to researching the perception stack that autonomous vehicles depend on.
As a PhD student at the ACCESS Lab, North Carolina A&T State University, I focus on visual navigation and camera–LiDAR fusion for autonomous systems, with the goal of making self-driving perception more perceptive, robust, and explainable. I am particularly interested in self-supervised perception, multimodal sensor fusion, and reasoning-driven robotic decision-making.
Before the PhD, I worked on the Industry 4.0 team at Business Automation Limited, building and deploying systems across computer vision, vision–language models, LLMs, and vision-enabled robots. That experience shapes how I approach research — I care about methods that are scalable, explainable, and deployable. Long term, I am aiming for a research career in autonomous-driving perception, in industry or academia.
Bipin (বিপিন) — from Sanskrit বিপিন / विपिन, “a vast natural grove.”
Research focus
-
Multimodal fusion
Camera–LiDAR fusion for 3D detection and scene understanding — reimplementing and extending BEVFusion and related methods at the ACCESS Lab.
-
Data-efficient perception
Self-supervised and unsupervised methods — LiDAR clustering, representation pretraining — that reduce dependence on labeled data for perception in unstructured environments.
-
Robust & explainable detection
Vehicle detection under adverse weather, complex scenes, and underrepresented regions, with explainable-AI diagnostics and benchmark datasets (BNVD).
- ACCEPTED IEEE QPAIN 2026 paper benchmarking CNN, Transformer, and VLM detectors for complex-scene vehicle detection.
- 52.68% reduction in manual workload from a handwritten-prescription OCR pipeline deployed across 64k+ patients.
- ~98% accuracy in appearance-based eye-gaze estimation across 13 directional targets (IC4ME2 2021).
8 Papers
Publications
Selected work below — full list on Google Scholar. Bipin Saha in bold.
Selected
Comparative Evaluation of CNN, Transformer, and Vision-Language Approaches for Vehicle Detection in Complex Scenarios
Bipin Saha
IEEE QPAIN 2026 · accepted Feb 2026
A practical benchmark framework for complex-scene vehicle detection across CNN, Transformer, and vision-language model families.
Enhancing Vehicle Detection in Adverse Weather with a Weighted YOLO Ensemble Approach and Explainable AI
Bipin Saha, T. K. Taton, M. H. Islam, M. J. Islam, S. K. Mostaque
IEEE Int. Conf. on Quantum Photonics, Artificial Intelligence (QPAIN) · Jul–Aug 2025
Conference paperIEEE Xplore: 29 Sep 2025DOI
Robust adverse-weather detection with explainability, aimed at trust in safety-critical deployments.
Bangladeshi Native Vehicle Detection in the Wild
Bipin Saha, M. J. Islam, S. K. Mostaque, A. Bhowmik, T. K. Taton, M. N. H. Chowdhury, et al.
arXiv:2405.12150
Preprint · benchmark datasetarXiv: 20 May 2024DOI
A region-specific benchmark dataset to improve generalization and fairness in vehicle detection.
An Efficient Approach for Appearance-Based Eye Gaze Estimation with 13 Directional Points
Bipin Saha, M. J. Islam, A. S. Dipto, S. K. Mostaque
2021 Int. Conf. on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)
Conference paperIEEE Xplore: 10 May 2022DOI
Additional
FORS-EMG: A Novel sEMG Dataset for Hand Gesture Recognition Across Multiple Forearm Orientations
U. Rumman, A. Ferdousi, Bipin Saha, M. S. Hossain, M. J. Islam, S. Ahmad, et al.
arXiv:2409.07484
PreprintDOI
A Comprehensive Approach to Queue Waiting Time Prediction using Tree-Based Ensembles with Data Balancing and Explainable AI
T. K. Taton, Bipin Saha, M. J. Islam, S. K. Mostaque
Discover Analytics 3 (1), 9 · 2025
Journal paperDOI
Waiting Time Prediction in Queue Management: Leveraging Machine Learning Approach
T. K. Taton, Bipin Saha, A. Akter, M. J. Islam, S. K. Mostaque
2024 Int. Conf. on Recent Progresses in Science, Engineering and Technology
Conference paperDOI
Numerical Modeling of CuSbSe2-Based Dual-Heterojunction Thin Film Solar Cell with CGS Back Surface Layer
Bipin Saha, B. K. Mondal, S. K. Mostaque, M. Hossain, J. Hossain
AIP Advances 13 (2) · 2023
Journal paperDOI