Faculty Tabiya Manzoor Beigh

Tabiya Manzoor Beigh

Assistant Professor

Department of Computer Science and Engineering

Contact Details

tabiya.m@srmap.edu.in

Office Location

Education

2025
PhD
Pondicherry University
2016
M.Tech CSE
Kurukshetra University
2013
B-Level
National Institute of Electronics and Information Technology

Personal Website

Experience

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

Research Interest

  • 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

  • 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

Memberships

Publications

Patents

Projects

Scholars

Interests

  • Artificial Intelligence
  • Computer Vision
  • Deep Learning
  • Machine Learning
  • Medical Imaging

Thought Leaderships

There are no Thought Leaderships associated with this faculty.

Top Achievements

Research Area

No research areas found for this faculty.

Recent Updates

No recent updates found.

Education
2013
B-Level
National Institute of Electronics and Information Technology
2016
M.Tech CSE
Kurukshetra University
2025
PhD
Pondicherry University
Experience
  • 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
Memberships
Publications
Contact Details

tabiya.m@srmap.edu.in

Scholars
Interests

  • Artificial Intelligence
  • Computer Vision
  • Deep Learning
  • Machine Learning
  • Medical Imaging

Education
2013
B-Level
National Institute of Electronics and Information Technology
2016
M.Tech CSE
Kurukshetra University
2025
PhD
Pondicherry University
Experience
  • 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
Memberships
Publications
Contact Details

tabiya.m@srmap.edu.in

Scholars