Dr. Rajib Debnath

About

Dr. Rajib Debnath serves as an Assistant Professor in the Department of Computer Science and Engineering, GITAM University, Hyderabad Campus. He earned his Ph.D. and M.Tech in Computer Science and Engineering from the Central University of Tripura. His research focuses on Computer Vision, Object Detection, Machine Learning, Deep Learning, and Medical Imaging.

He has published multiple SCI-indexed, high-impact journal articles and has presented his research at prestigious international conferences. His recent work explores deep learning applications in medical imaging, small object detection, and AI-driven automation.

Dr. Debnath actively contributes as an reviewer for reputed journals and international conferences. He collaborates on interdisciplinary AI research projects and continues to advance innovations in his field.

Employment

• GITAM University Assistant Professor
  2024 - Present
• KLH University Assistant Professor
  2022 - 2024
• Kalasalingam Academy of Research and Education Assistant Professor
  2021 - 2022

Education

• Tripura University Ph. D
  2016 - 2022
• Tripura University M. Tech
  2010 - 2012
• Bengal Institute of Technology and Management B. Tech
  2006 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• A Review on Diagnostic Imaging Applications of Thermography in Arthritis
  SN Computer Science 2026 DOI: 10.1007/s42979-026-04989-4
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• Cluster ensemble based semi supervised ROI segmentation in thermal images
  Biomedical Signal Processing and Control 2026 DOI: 10.1016/j.bspc.2025.108931
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• GSNet: A new small object attention based deep classifier for presence of gun in complex scenes
  Neurocomputing 2025 DOI: 10.1016/j.neucom.2025.129855
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• A hybrid feature selection with data-driven approach for cardiovascular disease prediction using machine learning
  IAES International Journal of Artificial Intelligence (IJ-AI) 2025 DOI: 10.11591/ijai.v14.i2.pp1192-1200
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• Cluster Ensemble Based Semi Supervised Roi Segmentation in Thermal Images
  Ssrn 2025 DOI: 10.2139/ssrn.5339297
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• Advances in Computational Intelligence and Its Applications
  Proceedings of the International Conference On Advances in Computational Intelligence And Its Applications (ICACIA-2023) 2024
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• Deep Classification of Gun Carried by Moving Persons Using Proposed TUVD-CSA Dataset
  Lecture Notes in Networks and Systems 2022 DOI: 10.1007/978-981-16-4287-6_8
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• A comprehensive survey on computer vision based concepts, methodologies, analysis and applications for automatic gun/knife detection
  Journal of Visual Communication and Image Representation 2021 DOI: 10.1016/J.JVCIR.2021.103165
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• A Comparative Study of Background Segmentation Approaches in Detection of Person with Gun under Adverse Weather Conditions
  2020 11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020 2020 DOI: 10.1109/ICCCNT49239.2020.9225409
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• Automatic Visual Gun Detection Carried by A Moving Person
  2020 IEEE 15th International Conference on Industrial and Information Systems, ICIIS 2020 - Proceedings 2020 DOI: 10.1109/ICIIS51140.2020.9342681
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