Cardiff School of Technologies>Staff Profiles>Sandeep Singh Sengar

Dr Sandeep Singh Sengar

Department: Department of Computer Science

Office/Location: Cardiff School of Technologies, Llandaff Campus

Telephone:

Email: SSSengar@cardiffmet.ac.uk

Staff Overview

Dr. Sandeep Singh Sengar is a Lecturer in Computer Science at Cardiff Metropolitan University, United Kingdom. Before joining this position, he worked as a Postdoctoral Research Fellow at the Machine Learning Section of Computer Science Department, University of Copenhagen, Denmark. He holds a Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India and an M. Tech. degree in Information Security from Motilal Nehru National Institute of Technology, Allahabad, India. Dr. Sengar’s current research interests include Medical Image Segmentation, Motion Segmentation, Visual Object Tracking, Object Recognition, and Video Compression. His broader research interests include Machine/Deep Learning, Computer Vision, Image/Video Processing and its applications. He has published several research articles in reputed international journals and conferences in the field of Computer Vision and Image Processing. He is a Reviewer of several reputed International Transactions, Journals, and conferences including IEEE Transactions on Systems, Man and Cybernetics: Systems, Pattern Recognition, Neural Computing and Applications, Neurocomputing. He has also served as a Technical Program Committee member in many reputed International Conferences. He has organized several special sessions and given keynote presentations at International Conferences. In addition to these, he has also given many expert talks in reputed organizations. He always believes in collaborative opportunities.

Teaching

I am available for PhD/MPhil/ME/BE supervision on the below topics/areas: 

  • Medical Imaging 
  • Motion Segmentation 
  • Visual Object Tracking 
  • Object Recognition
  •  Image Enhancement 

My teaching experience has covered a wide range of topics in Computer Science like Data Science, Machine Learning, Computer Vision, Image Processing, Design and Analysis of Algorithms, Data Structures and Algorithms, and Programming Languages.

Research

My main research focus is on below mentioned areas:

  • Computer Vision 
  • Machine/Deep Learning 
  • Image/Video Processing 
  • Medical Imaging

Key Publications

(1) Sandeep Singh Sengar, and Susanta Mukhopadhyay. “Motion segmentation based surveillance video compression using adaptive particle swarm optimization", Neural Computing and Applications, Springer, December 2019. 

(2) Sandeep Singh Sengar, and Susanta Mukhopadhyay. “Moving object detection using statistical background subtraction in wavelet compressed domain", Multimedia Tools and Applications, Springer, December 2019. 

(3) Sandeep Singh Sengar, and Susanta Mukhopadhyay. “Motion Detection using Block based Bi-directional Optical Flow Method", Journal of Visual Communication and Image Representation, Elsevier, Vol.-49, pp. 89-103, August 2017.

(4) Sandeep Singh Sengar, and Susanta Mukhopadhyay. “Moving Object Detection based on Frame Difference and W4", Signal, Image and Video Processing, Springer, Vol.-11, Issue-7, pp. 1357-1364, April 2017. 

(5) Sandeep Singh Sengar, and Susanta Mukhopadhyay. “Moving Object Area Detection using Normalized Self Adaptive Optical Flow", Optik - International Journal for Light and Electron Optics, Elsevier, Vol.-127, Issue-16, pp. 6258-6267, March 2016. 

(6) Sandeep Singh Sengar, and Susanta Mukhopadhyay. “Foreground Detection via Background Subtraction and Improved Three-frame Differencing", Arabian Journal for Science and Engineering, Springer, Vol.-42, Issue-8, pp. 3621–3633, June 2017.

(7) Sandeep Singh Sengar, and Susanta Mukhopadhyay. “Detection of Moving Objects based on Enhancement of Optical Flow", Optik-International Journal for Light and Electron Optics, Elsevier, Vol.-145, pp. 130–141, July 2017. 

(8) Pranjay Shyam, Sandeep Singh Sengar, Kuk-Jin Yoon, and Kyung-Soo Kim. “Exploring Data Efficient Techniques for Image Restoration and Enhancement." In International Joint Conference on Artificial Intelligence Workshop - Artificial Intelligence for Autonomous Driving, Montreal, Canada, 21 August 2021.

(9) Pranjay Shyam, Sandeep Singh Sengar, Kuk-Jin Yoon, and Kyung-Soo Kim. “Robust Video Enhancement by Adversarial Evaluation of Inter-Frame consistency and Integrated within Camera-ISP." the 32nd British Machine Vision Conference, 22-25 November, 2021. 

(10) Sandeep Singh Sengar. “Motion segmentation based on structure-texture decomposition and improved three frame differencing", In 15th International Conference on Artificial Intelligence Applications and Innovations, Crete, Greece, pp. 609–622, May 2019, Springer.

Other Projects and activities

Keynote/Invited Speaker, Workshop/FDP Resource Person: 

(1) Invited Speaker: Deep learning framework for clinical diagnosis - a healthcare system, Workshop: Where the Earth Meets the Sky organised by Technical University of Denmark, Denmark, 27-28 May 2021. 

(2) Keynote Presentation Title: Machine Learning based Computer Vision and its applications, Conference: International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI), Berlin, Germany, June 2020. 

(3) Event Coordinator and Resource Person: Workshop on Deep Learning-based Computer Vision and its Applications, SRM University-AP, Andhra Pradesh, India, 19-20 June 2020. 

(4) Resource Person: Deep Learning brings a New Dimension to Computer Vision, FDP: Applications on Machine Learning and Deep Learning, Raj Kumar Goel Institute of Technology, Ghaziabad, Uttar Pradesh, India, 24-28 June 2020. 

(5) Invited Speaker: Image Enhancement Techniques and its Applications, Conference: International Webinar on Robot Intelligence Technology & Applications (iRobot-2020) organised by the SCIFED Webinars, 18-20 June 2020. 

(6) Invited Speaker: Digital Image/Video Processing and its Applications, Institute of Information Technology and Management, Janakpuri, New Delhi, 10 June 2020. 

(7) Invited Speaker: Deep Learning brings a New Dimension to Computer Vision, 3rd Asia Pacific Information Technology Conference, Bangkok, Thailand, February 2021 (ACM Singapore Chapter). 

(8) Invited Speaker: Deep Learning-based Computer Vision and its Applications, KL University, Hyderabad, India, December 2020. 

(9) Keynote Presentation Title: Deep learning framework for clinical diagnosis – a healthcare system, International Webinar: Advanced and Recent Technologies in the field of Computer Science and Engineering towards Atmanirbhar Bharat, Indrashil University, Gujrat, India, March 2021. 

(10) Keynote Presentation Title: Deep Learning in Medical Image Diagnosis, Conference: 3rd IEEE Conference on Emerging Smart Computing & Informatics, Pune, India, March 2021. 

(11) Resource Person: Deep Learning in Computer Vision, Faculty Interactive Session:GLA University, Mathura, India, May 2021. 

(12) Keynote Presentation Title: Deep Learning Brings a New Dimension to Medical Image Segmentation, Conference: 4th International Conference on Optics, Photonics and Lasers, Greece, October 2021. 

 (13) Invited Speaker: Deep Learning Brings a New Dimension to Medical Imaging, LBEF R & D Cell, Kathmandu, Nepal, July 2021. 

 (14) Invited Speaker: Deep Learning for Computer Vision, AICTE-ISTE sponsored workshop on "Emerging Trends, Issues and Challenges in Machine Learning and Big Data", 5th -11th January, 2022.

Special Session Chairperson at International conferences

Committee Member of IRFSR, a International Research Forum for Scientific Research.

Scientific Committee Member of International Conference on Future of Engineering Systems and Technologies.

Advisory Chairmen at 4th International Conference on Optics, Photonics and Lasers, Greece-2021.

Steering Committee member at 3rd International Conference on Advances in Signal Processing and Artificial Intelligence, Portugal-2021.

Reviewer at Several reputed journals and conferences.

Technical Program Committee Member (Selected): 

(1) International Conference on Digital Image and Signal Processing (DISP-2019), St Hugh’s College, Oxford University, United Kingdom. 

(2) 11th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB-2021), Takanawa Campus, Tokai University, Tokyo, Japan. 

(3) 13th International Conference on Computer Modeling and Simulation (ICCMS 2021), Melbourne, Australia. 

(4) 8th International Conference on Advances in Management Sciences (ICAMS 2021), BARCELONA, Spain. 

(5) 7TH International Conference on Electrical Engineering, Control and Robotics (EECR-2021), Xiamen, China.

(6) 13th International Conference on Future Computer and Communication (ICFCC 2021), Singapore. 

(7) 7th International Conference on Information Management (ICIM2021), Imperial College London, London, UK.

(8) 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI-2019), Bandung, Indonesia. 

(9) 5th International Conference on Intelligent Computing and Control Systems (ICICCS 2021), Madurai, India.


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