Projects per year
Personal profile
Research interests
My research interests span signal and image processing, pattern recognition, and the emerging field of medical image understanding. Currently, my research focuses on technology development for MRI applications in diagnosis. More specifically, image matching, object recognition, higher-order image representations, Cross Domain generalisation, MR image segmentation, and analysis are my focused areas of interest.
Personal profile
Dr Sheheryar Khan received his BSc degree in Electrical Engineering with Honours from UET Peshawar, Pakistan, MSc degree in Digital Signal Processing with Distinction from Lancaster University, the UK and Doctorate degree in Electronic Engineering from the City University of Hong Kong. His research interests include Pattern Recognition, Computer Vision, and Medical Image Processing.
Prior to joining this institution, Dr. Khan served as a postdoctoral fellow at the Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, where he focused on Machine Learning tasks related to Magnetic Resonance images. He also worked as a senior research associate and postdoctoral fellow at the City University of Hong Kong, where he worked on several computer vision tasks and developed algorithms for automatic object detection, matching, and recognition in digital images.
Dr. Khan's teaching experience in this field spanned over five years as a full-time lecturer at COMSATS University Islamabad, Pakistan. He is an IEEE Senior member and a registered engineer at the Pakistan Engineering Council.
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):
Education/Academic qualification
Doctorate, PhD Electronic Engineering, City University of Hong Kong
1 Sept 2015 → 1 Oct 2018
Award Date: 10 Feb 2019
Master, MSc Digital Signal Processing, Lancaster University
Award Date: 1 Sept 2010
Bachelor, BSc Electrical Engineering, University of Engineering and Technology, Peshawar
Award Date: 1 Dec 2007
External positions
Post-Doc Fellow, Chinese University of Hong Kong
2 Jun 2019 → 15 Aug 2021
Senior Research Associate, City University of Hong Kong
1 Sept 2018 → 30 May 2019
Lecturer, COMSATS University Islamabad
2 Feb 2008 → 30 Aug 2015
Keywords
- TK Electrical engineering. Electronics Nuclear engineering
- Electrical Engineering
- Computer Vision
- Pattern Recognition
- Medical Image Processing
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Collaborations and top research areas from the last five years
Projects
- 2 Finished
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Development of Artificial Intelligence based Predictive Tool for Knee Magnetic Resonance Imaging Assessment: A Domain Adaptation Perspective | Faculty Development Scheme (FDS), Research Grants Council (RGC) Competitive Research Funding Schemes for the Local Self-financing Degree Sector 2022/23 | Project Reference No.: UGC/FDS24/E18/22| HK$ 471,370
Khan, S. (PI) & Nawaz, M. (CoI)
1/01/23 → 30/06/24
Project: Research
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Advancements in thermal management solutions for electric vehicle high-power electronics: Innovations, cooling methods, and future perspectives
Asim, M., Baig, T., Siddiqui, F. R., Khan, S., Khan, S. A., Babar, H., Said, Z., ZHAO, J. & Abidi, I. H., 4 Jan 2025, In: Journal of Energy Storage. 111, 115344.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)26 Downloads (Pure) -
Improving Autonomous Vehicle Cognitive Robustness in Extreme Weather with Deep Learning and Thermal Camera Fusion
Nawaz, M., Khan, S., Daud, M., Asim, M., Anwar, G. A., Shahid, A. R., Ho, H. P. A., Chan, T., Kong, L. P. & Yuan, W., 15 Jan 2025, In: IEEE Open Journal of Vehicular Technology. p. 1 - 15Research output: Contribution to journal › Article › peer-review
Open AccessFile14 Downloads (Pure) -
MTKD-LRS: Semi Supervised Knee Cartilage Segmentation Using Eigen Low Rank Subspace Assisted Mean-Teacher Framework
Ammar Khawer , M., Khan, S., Qureshi, R., Awais, M., Chen, W. & Wu, J., 16 May 2025.Research output: Contribution to conference › Paper › peer-review
Open AccessFile2 Downloads (Pure) -
Semi-Supervised Knee Cartilage Segmentation with Successive Eigen Noise-assisted Mean Teacher Knowledge Distillation
Khan, S., Ammar Khawer , M., Nawaz, M., Asim, M., Qureshi, R., Chen , W. & Yan, H., 2 Apr 2025, In: IEEE Transactions on Medical Imaging.Research output: Contribution to journal › Article › peer-review
Open Access -
Thermal analysis and optimal fluid selection for the novel integrated vapor compression cycle and ORC system for ultra-low grade waste heat recovery using the desuperheating method
Asim, M., Khan, S., Khan, S. A., Baig, T., Imran, M., Zia, A. W., Riaz, F. & Leung, M. K. H., Mar 2025, In: Energy Nexus. 17, 25 p., 100357.Research output: Contribution to journal › Article › peer-review
Open AccessFile8 Downloads (Pure)
Prizes
Activities
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Conference on Green Technology and Navigating Sustainable Business Practices
Khan, S. (Speaker)
2 Dec 2024 → 3 Dec 2024Activity: Talk or presentation › Invited talk
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China AI GALA 2024
Khan, S. (Panel Member)
25 May 2024Activity: Participating in or organising an event › Participating in a conference, workshop, ...
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The Institute of Electrical and Electronics Engineers (IEEE) (External organisation)
Khan, S. (Member)
4 May 2024 → …Activity: Membership › Membership of council
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Poster Session for Research Grants Council Visit to CPCE.
Khan, S. (Participant)
30 Apr 2024Activity: Participating in or organising an event › Participating in a conference, workshop, ...
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CLP Power Hong Kong Limited
Khan, S. (Visiting researcher)
11 Mar 2024Activity: Visiting an external institution › Visiting an external academic institution