Rajib Debnath

Rajib Debnath

Assistant Professor

Department of Computer Science and Engineering

GITAM School of Technology

Hyderabad

Education

Ph. D.

Dr. Rajib Debnath, hailing from Agartala, Tripura, has established himself as a dedicated researcher and academician in the domain of Computer Science and Engineering (CSE). He completed both his Ph.D. and M. Tech from the prestigious Central University of Tripura, with his academic journey and research contributions primarily focused on emerging areas in computer science such as Computer Vision, Object Detection, Machine Learning, Deep Learning, and Medical Imaging.

Research Publications

  • Rajib Debnath, Kakali Das and Mrinal Kanti Bhowmik, GSNet: A New Small Object Attention Based Deep Classifier for Presence of Gun in Complex Scenes, Neurocomputing, Elsevier, Indexed by Science Citation Index(SCIE), Volume 635, 28 June 2025, 129855, Online ISSN: 1872-8286, Print ISSN: 0925-2312, DOI: https://doi.org/10.1016/j.neucom.2025.129855. Impact Factor: 5.5.
  • Rajib Debnath, and Mrinal Kanti Bhowmik, “A comprehensive survey on com- puter vision based concepts, methodologies, analysis and applications for au- tomatic gun/knife detection”, Journal of Visual Communication and Image Represen- tation, Indexed by Science Citation Index Expanded(SCIE),Volume 78, 2021, pp. 103165, ISSN: 1047-3203, DOI: https://doi.org/10.1016/j.jvcir.2021.103165. Impact Factor: 2.6.
  • Rajib Debnath, and Mrinal Kanti Bhowmik, “A Novel Framework for Automatic Localization of Gun Carrying by Moving Person Using Various Indoor Out- door Mimic and Real time Views/Scenes”, IET Image Processing, Indexed by Science Citation Index (SCI), Volume 14, Issue 17, December 2020, pp. 4663–4675, Print ISSN: 1751-9659, Online ISSN: 1751-9667, DOI: https://doi.org/10.1049/ iet-ipr.2020.0706. Impact Factor: 2.3.
  • Thoutireddy Shilpa, and Rajib Debnath, “A hybrid feature selection with data-driven approach for cardiovascular disease prediction using machine learning,” IAES International Journal of Artificial Intelligence (IJ-AI), Volume 14, No. 2, April 2025, pp. 1192–1200, ISSN: 2252-8938, DOI: 10.11591/ijai.v14.i2.pp1192-1200.
  • Rajib Debnath, and Mrinal Kanti Bhowmik, “Deep Classification of Gun Carried by Moving Persons Using Proposed TUVD-CSA Dataset”, Proceedings of, 8th International Doctoral Symposium on Applied Computation and Security Systems (ACSS) 2021, Organized by University of Calcutta, India, Held on 9-10 April, 2021, Published In: R. Chaki, N. Chaki, A. Cortesi, K. Saeed (eds), Advanced Computing and Systems for Security, Volume 13. Lecture Notes in Networks and Systems, vol 241. Springer, Singapore. Print ISBN: 978-981-16-4286-9, Online ISBN: 978-981-16-4287-6, https: //doi.org/10.1007/978-981-16-4287-6_8 (Scopus Indexed)

Expertise

  • Check Icon AI Research & High-Impact Publications – Engaged in cutting-edge research in Artificial Intelligence, Machine Learning, and Computer Vision, with several SCI-indexed, high-impact factor journal publications and contributions to top international conferences.
  • Check Icon Comprehensive Teaching Expertise – Specializing in Machine Learning, Deep Learning, Image Processing, and Pattern Recognition, along with core subjects like Operating Systems and Python Programming, ensuring a strong foundation in both theoretical concepts and practical applications.
  • Check Icon Government-Funded R&D Experience – Actively involved in Govt. of India-funded R&D projects from MeitY and DRDO, developing AI-driven solutions for critical applications in defense, healthcare, and automation.

Authored Books

  • Check Icon Editor of a Book Entitled Advances in Computational Intelligence and Its Ap- plications, Proceedings Of the International Conference On Advances in Computational Intelligence And Its Applications (ICACIA-2023), From 23rd - 25th February, 2023, HY- DERABAD, INDIA, Organized by Department of Computer Science & Engineering, Koneru Lakshmaiah Educational Foundation (Deemed to be University), Aziznagar Cam- pus, Hyderabad, India - 500075, Published By: CRC Press, Taylor & Francis Group, Published On: 7th June, 2024, ISBN - 978-1-032-78612-4.
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