Debojyoti Biswas
Debojyoti Biswas
Assistant Professor
Computer Science, Information, & Engineering Technology
Bio
Debojyoti Biswas, Ph.D., is an Assistant Professor in the Department of Computer Science and Information Systems at Youngstown State University. He received his Ph.D. in Computer Science from Texas State University and subsequently served as a Postdoctoral Research Fellow at the Larson Transportation Institute at Penn State University, where he worked in the Smart Mobility Lab. His research lies at the intersection of computer vision, machine learning, and robotic perception, with a focus on 3D perception, multi-sensor fusion, and domain adaptation for real-world autonomous and remote sensing systems.
Dr. Biswas's work explores LiDAR–radar–camera fusion for 3D object detection, domain-adaptive detection under distribution shift, video anomaly detection, and edge-deployable deep learning. His research has been supported by agencies including the National Science Foundation, USDOT, PennDOT, and TxDOT, and he is actively developing robust perception models and multimodal systems for deployment in safety-critical and resource-constrained environments.
At YSU, Dr. Biswas teaches undergraduate and graduate computer science courses. He is committed to research-informed teaching and actively involves students in course-embedded research, capstone projects, and hands-on deep learning applications.
Research Interests
Computer vision and deep learning
Multi-sensor 3D object detection, semantic segmentation, and occupancy detection for autonomous vehicles
Multimodal learning and vision-language models (VLM/LVLM)
Data-driven modeling for intelligent transportation
Teaching Interests
Machine Learning
Computer Vision and Deep Learning
Data Structures and Algorithms
Computer Programming
Discrete Mathematics
Edge Computing and Embedded Systems
Software Engineering
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2025
Ph D, Computer Science
Texas State University
Dissertation/Thesis Title — "Domain Adaptive Small Object Detection with Real-Time Response from High-Variance Remote Sensing Data"
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2018
BS, Information and Communication Engineering
Noakhali Science and Technology University
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2024
Texas State University
Graduate College Dissertation Fellowship
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2022
Texas State University
Graduate College Scholarship
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2022
Texas State University
Department of Computer Science Scholarship
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2022
Texas State University
Computer Science Research Excellence Award
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2026
"TFFM: Topology-Aware Feature Fusion Module via Latent Graph Reasoning for Retinal Vessel Segmentation"
I. Ahmed, S. Absar, A. Sami, S. Sakib, D. Biswas, . Al Mahmud Mostafa, Seraj
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2026
"MoPac+: Multimodal Modeling of the Pavement Cracks Using Hard-Example Mining and Context-Aware Feature Aggregation"
D. Biswas, A. Scouten, H. Gong, F. Wang, J. Tešić
Measurement, p. 120896
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2026
"From Clear to Adverse: A Survey of All-Weather LiDAR Semantic Segmentation for Autonomous Driving"
Y. Ding, D. Biswas, K. Liang, K. Li, R. Qin, X. Hu
Artificial Intelligence for Transportation
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2026
"FGD-VO: Enhancing Monocular Visual Odometry for Autonomous Vehicles with Reliable Inter-Frame Correspondence Modeling"
Y. Ding, Z. Wu, D. Biswas, R. Qin, Z. Yin, X. Hu
International Journal of Transportation Science and Technology
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2026
"CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation"
K. Liang, K. Li, D. Biswas, Y. Ding, X. Hu, R. Qin
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2025
"MMVAD: A Vision-Language Model for Cross-Domain Video Anomaly Detection with Contrastive Learning and Scale-Adaptive Frame Segmentation"
D. Biswas, J. Tešić
Expert Systems with Applications
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2025
"A Comprehensive Deep Learning Approach for Dermoscopic Image Enhancement"
A. Mazed, M. Limon, S. Thouhid, D. Biswas, . others
Franklin Open
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2024
"Unsupervised Domain Adaptation with Debiased Contrastive Learning and Support-Set Guided Pseudo Labeling for Remote Sensing Images"
D. Biswas, J. Tešić
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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2024
"Image Deduplication Using Efficient Visual Indexing and Retrieval: Optimizing Storage, Time and Energy for Deep Neural Network Training"
M. Rahman, D. Biswas, X. Chen, J. Tešić
Signal, Image and Video Processing
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2024
"Domain Adaptation with Contrastive Learning for Object Detection in Satellite Imagery"
D. Biswas, J. Tešić
IEEE Transactions on Geoscience and Remote Sensing
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2024
"BinaryDNet53: A Lightweight Binarized CNN for Monkeypox Virus Image Classification"
D. Biswas, J. Tešić
Signal, Image and Video Processing
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2022
"Small Object Difficulty (SOD) Modeling for Object Detection in Satellite Images"
D. Biswas, J. Tešić
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2022
"Improving the Energy Efficiency of Real-Time DNN Object Detection via Compression, Transfer Learning, and Scale Prediction"
D. Biswas, M. Rahman, Z. Zong, J. Tešić