Assistant Professor

Tabiya Manzoor Beigh

Department of Computer Science and Engineering

Interests

  1. Computer Vision
  2. Medical Imaging
  3. Artificial Intelligence, Machine learning and Deep Learning.

Education

2013

National Institute of Electronics and Information Technology
B-Level

2016

Kurukshetra University
M.Tech CSE

2025

Pondicherry University
Ph.D. Thesis Submitted

Professional Service

  • June 2013 to July 2014 – Software Developer,Intelli Solutions, Karnal, Haryana, India.

Research Interests

  • Efficient Summarisation of Surveillance videos in the limited resource settings using deep learning models.
  • Detection of abandoned objects in the Surveillance videos using multiple robust background subtraction models and lightweight object classifiers.
  • Predictive Summarization of Surveillance Videos using Deep learning-based optimization techniques.
  • Medical Biomarkers based diagnosis of Alzheimer’s Disease Using Deep Learning Models.

Awards & Fellowships

  • 2014 – GATE – IIT Kharagpur
  • 2018 – Jammu and Kashmir State Eligibility Test- University of Kashmir
  • 2019 – National Eligibility Test – UGC
  • 2015 – Summer Internship programme at the school of Computing and Electrical Engineering, Indian Institute of Technology Mandi, IIT Mandi (Himachal Pradesh)
  • 2019 – 2024 Maulana Azad National Fellowship – University Grants Commission
  • Best Paper Award at 2nd International Conference on Human-centric Smart Computing-2023, University of Engineering & Management (UEM), Jaipur, July 05-06, 2023
  • Best Paper Award at International Conference on Emerging Innovative Technologies in Engineering ICEITE’22,
  • Sri Manakula Vinayagar Engineering College, Madagadipet, Puducherry, July 13-15,2022
  • Best Paper Award at Two Day National Seminar on “Data Handling Techniques: Application in Information Technology”, Gandhi Memorial National Post Graduate College, Ambala Cantt, Haryana, March 04-05, 2016

Publications

Journal Publications

  • MRI-Based Biomarker in the Diagnosis of Alzheimer’s Disease Using Attention-UNet. Arumugam, J., Prasanna Venkatesan, V. & Beigh, SN COMPUT. SCI. 6, 211 (2025).
  • Introspective Study on Attention-Based Transfer Learning in CNNs for Alzheimer's Disease Detection, Journal of Information Systems and Engineering, Arumugam, J., Prasanna Venkatesan, V. Tabiya Manzoor Beigh, S. Geetha, Journal of Information Systems and Engineering, 10, (2025)
  • Enhanced Surveillance: Triple Background Subtraction with YOLO V8- Tabiya Manzoor Beigh, Prasanna Venkatesan, V., Arumugam, J., S. Geetha, International Journal of Intelligent Systems and Applications in Engineering, 12(3), 3843–3852, (2024)
  • Capsule Neural Network and Determinantal Point Process (CAPSDPP) based Summarization of Surveillance Videos, Tabiya Manzoor Beigh, Prasanna Venkatesan, C. Punitha Devi, International Journal of Intelligent Systems and Applications in Engineering, 12(4), 2518, (2024).
  • Detection of Breast Cancer Using Context-Aware Capsule Neural Network, Tabiya Manzoor Beigh, Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure Healthcare Advances in Computing Communications and Informatics (2024) 7: 69.
  • Motion Aware Video Surveillance System (MAVSS). Beigh, T.M., Venkatesan, V.P, In: Bhattacharyya, S., Banerjee, J.S., Köppen, M. (eds) Human-Centric Smart Computing. ICHCSC 2023. Smart Innovation, Systems and Technologies, vol 376. Springer, Singapore.
  • Object-Based Key Frame Extraction in Videos, T. M. Beigh, V. Prasanna Venkatesan and J. Arumugam, 2023 Second International Conference on Advances in Computational Intelligence and Communication (ICACIC), Puducherry, India, 2023, pp. 1-4, doi: 10.1109/ICACIC59454.2023.10435166.
  • Counterfeit Currency Detection using Machine learning, Manzoor Beigh, T., Arivazagan, J., & Prasanna Venkatesan, V., Journal of Emerging Technologies and Innovative Research, 10(3), 356–358. (2023).
  • Big Data in Banking and Customer Analytic, Tabiya Manzoor Beigh, V. Prasanna Venkatesan, Emperor International Journal of Finance and Management Research, Volume 4, Issue 6, Pages 103-108, March (2018).
  • Event Identification in Social News Streams Using Keyword Analysis, Beigh, T. M., Upadhyaya, S., & Gopal, G. International Research Journal of Engineering and Technology, (2016).
  • Use of Genetic Algorithm and Fuzzy Logic in Optimizing Graph Coloring Problem, Manzoor, T. B., & Gopal, G., International Journal of Computer Applications, 975–8887, (2016)
  • Identification of Events in Social News Streams, Beigh, T. M., Upadhyaya, S., & Gopal, G., International Journal of Scientific and Engineering Research, 443–447, (2014)

Contact Details

E-mail id:tabiya.m@srmap.edu.in

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