Personal profile
Research interests
Dr. Sandeep Singh Sengar is a Senior Lecturer and the Head of Computer Vision and Artificial Intelligence at Cardiff Metropolitan University, United Kingdom. He also serves as the Cluster Leader for Computer Vision/Image Processing and represents the British Computer Society. Prior to his current role, Dr. Sengar was a Postdoctoral Research Fellow in the Machine Learning Section of the Computer Science Department at the University of Copenhagen, Denmark, the country's top-ranked university. In 2022, he was a visiting researcher at University College Dublin, the second-ranked university in Ireland. Dr. Sengar earned his Ph.D. in Computer Vision from the Indian Institute of Technology (ISM) Dhanbad and his M.Tech. from Motilal Nehru National Institute of Technology, Allahabad, India. He is a Fellow of the UK Higher Education Academy and a Senior Member of IEEE. His research focuses on Machine/Deep Learning, Computer Vision, and Image/Video Processing. Dr. Sengar has an extensive publication record in leading international journals and conferences. He has published in top-tier venues such as MIE, NCAA, CVIP, EFMI, IJCAI, BMVC, and JVCAIR. He is a member of the editorial boards for Signal, Image and Video Processing and the International Journal of Imaging Systems and Technology. He also serves on the Board of Studies at Universal AI University in Mumbai, India, as an external examiner at the London School of Innovation, and reviews research grant proposals for EPSRC UK, NMRC Singapore, and Cardiff Met. Additionally, Dr. Sengar is a Ph.D. examiner for several prestigious institutions, including the University of South Wales, Cardiff University, the Indian Institutes of Technology, and the National Institutes of Technology in India. He has played key roles in international conferences, such as serving as an organizing chair and distinguished guest. He has delivered expert talks worldwide at prestigious institutions, including Trinity College Dublin, University College Dublin, the Technical University of Denmark, Cardiff University, multiple Indian Institutes of Technology including IIT Kharagpur, IIT Roorkee, and several others.
Education/Academic qualification
PhD, Development of Motion Segmentation, Tracking, and Compression Techniques, Indian Institute of Technology (IIT) Dhanbad, India
2014 → 2018
Award Date: 1 Aug 2018
Master, Master of Technology, Motilal Nehru National Institute of Technology Allahabad
2009 → 2011
Award Date: 1 Jul 2011
Master, Master of Computer Applications, GLA Institute of Technology and Management, Mathura, India
2006 → 2009
Award Date: 1 Jul 2009
Bachelor, Bachelor of Science, P.C. Bagla College, Hathras, India
Award Date: 1 Aug 2005
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 16 Peace, Justice and Strong Institutions
Collaborations and top research areas from the last five years
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Deep Learning for Discourse Analysis-Based Sentiment Analysis of Tweets
Jayakrishnan, B., Amutha, S., Prasanalakshmi, B. & Sengar, S. S., 15 Jan 2026, Proceedings of 6th Doctoral Symposium on Computational Intelligence - DoSCI 2025. Swaroop, A., Kansal, V. & Hassanien, A. E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 15-29 15 p. (Lecture Notes in Networks and Systems; vol. 1498 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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SACFFNet: Shuffle Attention Convolutional Forward Fractional Network Based Attack Detection in Cloud Computing
Shukla, A. K., Sharma, A. & Sengar, S. S., 4 Feb 2026, In: Concurrency and Computation: Practice and Experience. 38, 3, e70504.Research output: Contribution to journal › Article › peer-review
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Age-Stratified Differences in Morphological Connectivity Patterns in ASD: An sMRI and Machine Learning Approach
Manoj, G., Saini, P., Ratnaik, R., Sengar, S. S., Ganapathy, N., Pa, K. & Agastinose Ronickom, J. F., 3 Dec 2025, 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers Inc., Vol. 2025. p. 1-5 5 p. (Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Characterizing ASD Subtypes Using Morphological Features from sMRI with Unsupervised Learning
Raj, A., Ratnaik, R., Sengar, S. S. & Fredo, A. R. J., 15 May 2025, Intelligent Health Systems – From Technology to Data and Knowledge: Proceedings of the 35th Medical Informatics Europe Conference, MIE 2025. IOS Press, Vol. 327. p. 1403-1407 5 p. (Studies in health technology and informatics).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Open Access2 Citations (Scopus) -
Entropy-driven deep learning framework for epilepsy detection using electro encephalogram signals
Singh Sikarwar, S., Rana, A. K. & Sengar, S. S., 5 May 2025, In: Neuroscience. 577, p. 12-24 13 p.Research output: Contribution to journal › Article › peer-review
Open Access14 Citations (Scopus)
Activities
- 2 Organising a conference, workshop, ...
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International Conference on Web 6.0 and Industry 6.0
Sengar, S. (Participant)
11 Feb 2025Activity: Participating in or organising an event › Organising a conference, workshop, ...
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11th International Conference on Frontiers of Intelligent Computing: Theory and Applications
Sengar, S. (Participant)
11 Apr 2023Activity: Participating in or organising an event › Organising a conference, workshop, ...