Funded Projects

• 2026: Validation of Intracranial Artery Calcification Quantified by Automated Segmentation and Machine Learning as a Novel Imaging Biomarker for Stroke Reperfusion Therapy (UGC/FDS24/M03/26) (Ongoing) (Co-Investigator).
• 2025: Deep Learning Segmentation of Knee MRI for 3D Cartilage Characterization and Evaluation (URG/24/21) (Ongoing) (Principle-Investigator).
• 2025: Mindful Horizons Virtual Reality Empowerment for Diabetes Management in Singapore's Indian Community (SINDA/25) (Ongoing) (Co-Investigator).
• 2025: Workshop Series on Reliable and Interpretable Deep Learning: Challenges, Theories and Applications in Biomedical Informatics (UGC/IIDS16/E01/25) (Ongoing) (Co-Investigator).
• 2025: Developing Knowledge Driven Multimodal Framework for 3D MRI Analysis and Interpretation: Grounding Visual Language Models for Diagnostic Reasoning (UGC/FDS24/E20/25 ) (Ongoing) (Co-Investigator).
• 2024: Smart FOOD Monitoring Device using Artificial Intelligence with smart sensors, Hong Kong Science & Technology Parks Corporation (HKSTP\10-1023) (Completed) (Principle-Investigator).
• 2024: Real-time Artificial Intelligence Driven Campsite Animal Activity Monitoring and Analysis, Hong Kong Science & Technology Parks Corporation (HKSTP\O-001183), (Completed) (Principle-Investigator).
• 2024: Development of Artificial Intelligence-based Predictive Tool for Knee Magnetic Resonance Imaging Assessment: A Domain Adaptation Perspective (UGC/FDS24/E18/22) (Completed) (Co-Investigator).
• 2023: Developing Thermal Image Recognition Algorithm using Convolution Neural Network, The Chinese University of Hong Kong and Hong Kong Productive Council (HKPC), (Completed) (Project member).
• 2022: Development of Super-Resolution Bioimaging Method for the Wrist: From Portable Wristband EIT to Detailed MRI Wrist Anatomy, The University of Hong Kong, (Completed) (Project Team Member).
• 2020: Image Segmentation and Matching Based on Unsupervised Learning, City University of Hong Kong, (Completed) (Project Team Member).
• 2020: Machine Learning for Data Engineering Applications, City University of Hong Kong (Completed) (Project Team Member).
• 2019: High Dimensional Pattern Detection and Analysis, City University of Hong Kong, (Completed) (Project Team Member).
• 2018: Investigation of EGFR Inter-domain Relations and Their Roles in Lung Cancer Drug Resistance, City University of Hong Kong, (Completed) (Project Team Member).
• 2017: Image and Video Data Mining and Classification, City University of Hong Kong, (Completed) (Project Team Member).

Publications

• Nawaz Mehmood, Chang, H. L., Hamza, M. A., Khan, S., Bibi, K., Daud, M., ... & Yuan, W. (2026). OCTA Vessel Segmentation via UNet Transformers and Deformable Receptive Fields: A Motion-Artefact-Resilient Deep Learning Framework. Journal of Imaging Informatics in Medicine, 1-18.
• Nawaz Mehmood, Abbasi, S. M. T., Khan, S., Hamza, M. A., Bibi, K., Abbasi, S. A., ... & Yuan, W. (2026). A robust lightweight deep learning network with deformable convolutions for efficient segmentation of optical coherence tomography images. Frontiers in Digital Health, 8, 1892323.
• Bibi, K., Nawaz Mehmood, Khan, S., Daud, M., Masood, A., Abdelgawad, M. A., & Yuan, W. (2025). Artificial Intelligence–Based Approaches for Brain Tumor Segmentation in MRI: A Review. NMR in Biomedicine, 38(11), e70141.
• Khan, Sheheryar, Nawaz Mehmood et al. "Semi-Supervised Knee Cartilage Segmentation with Successive Eigen Noise-assisted Mean Teacher Knowledge Distillation." IEEE Transactions on Medical Imaging (2025)
• Nawaz Mehmood, et al. "Improving Autonomous Vehicle Cognitive Robustness in Extreme Weather with Deep Learning and Thermal Camera Fusion." IEEE Open Journal of Vehicular Technology (2025).
• Nawaz Mehmood et al.  “Artificial Intelligence-Based Approaches for Brain Tumor Segmentation in MRI: A Survey”, NMR in Biomedicine, (2025) .
• Zahra, Anam, Nawaz Mehmood, et al. "Current advances in imaging spectroscopy and its state-of-the-art applications." Expert Systems with Applications 238 (2024): 122172.
• Wei, Yuanyuan, Nawaz Mehmood et al. "An innovative deep learning-empowered paradigm for precise biological sample quantification." CLEO: Applications and Technology. Optica Publishing Group, 2024.
• Wei, Y., Abaxi, S.M.D., Nawaz Mehmood, Li, L., Qu, F., Cheng, G., Hu, D., Ho, Y.P., Yuan, S.W., Ho, H.P. (2023). Deep Learning Approach for Large-Scale, Real-Time Quantification of Green Fluorescent Protein-Labeled Biological Samples in Microreactors. Small Methods.
• Nawaz Mehmood, Tang, J., Bibi, K., et al. (2023). Towards a Robust Cognitive Capability with Sensor Fusion in Autonomous Vehicles: A Survey. IEEE Transactions on Intelligent Transportation Systems.
• Zahra, A., Qureshi, R., Sajjad, M., Sadak, F., Nawaz Mehmood, Khan, H.A., Uzair, M. (2023). Current Advances in Imaging Spectroscopy and Its State-of-the-Art Applications. Expert Systems with Applications.
• Nawaz Mehmood, Bibi, K., et al. (2023). Unravelling the Complexity of Optical Coherence Tomography Image Segmentation Using Machine and Deep Learning Techniques: A Review. Computerized Medical Imaging and Graphics.
• Zuojun, W., Nawaz Mehmood, Khan, S., Xia, P., Irfan, M., Wong, E.C., Chan, R., Cao, P. (2023). Cross Modality Generative Learning Framework for Anatomical Transitive Magnetic Resonance Imaging (MRI) from Electrical Impedance Tomography (EIT) Image. Computerized Medical Imaging and Graphics.
• Nawaz Mehmood, et al. (2022). Hand Gestures Classification Using Electrical Impedance Tomography Images. IEEE Sensors Journal.
• Khan, T., Naqvi, S.S., Nawaz Mehmood et al. (2022). Prompt Deep Lightweight Vessel Segmentation Network (PLVS-Net). IEEE/ACM Transactions on Computational Biology and Bioinformatics.
• Nawaz Mehmood, Yan, H. (2021). Saliency Detection Using Deep Features and Affinity-Based Robust Background Subtraction. IEEE Transactions on Multimedia.
• Nawaz Mehmood, Yan, H. (2020). Saliency Detection via Multiple-Morphological and Superpixel-Based Fast Fuzzy C-Mean Clustering Network. Expert Systems with Applications.
• Khan, S., Nawaz Mehmood, Yan, H. (2019). Image Correspondence with CUR Decomposition-Based Graph Completion and Matching. IEEE Transactions on Circuits and Systems for Video Technology.
• Shahid, A.R., Nawaz Mehmood, Yan, H., Fan, X. (2022). View-Adaptive Graph Neural Network for Action Recognition. IEEE Transactions on Cognitive and Developmental Systems.
• Nawaz Mehmood et al. (2023). Artificial Intelligence-Based Approaches for Brain Tumor Segmentation in MRI: A Survey. Applied Intelligence (under review).
• Abaxi, S.M.D., Nawaz Mehmood et al. (2023). LiDeOCTNet: A Lightweight OCT-Aware Framework for Segmentation of Irregularly Layered Tissue Structures. IEEE Transactions on Biomedical Engineering (under review).
• Nawaz Mehmood et al. (2023). Deep Learning Aided Thermal Camera Sensor Fusion for Autonomous Vehicles to Improve Cognitive Robustness in Adverse Weather. IEEE Transactions on Intelligent Vehicles (under review).
• Nawaz Mehmood et al. (2023). Volume-to-Volume Vascular Network Learning for Single Scan Motion Insensitive OCTA in Retina. Artificial Intelligence in Medicine (under review).

• Ali, B., Khan, S., Qureshi, R., Nawaz Mehmood, M., & Azam, B. (2026). MOSAIC: Multimodal OA Staging with Adaptive Interpretable Clinical Constraints for Evidence-Grounded Knee MRI Grading. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 6866-6873).
• Nawaz Mehmood, (2025), Poster Presentation at 5th International Conference on Communication Technology and Information Technology (ICCTIT 2025) 27 Dec 2025, Guangzhou, China
• Nawaz Mehmood, (2025), attend the International Conference on Internet of Things, Data Science and Advanced Computing (IDSAC 2025) July 11 to 13, 2025, Zhuhai, China.
• Nawaz Mehmood, et al. “Block-Based Enhancement using Deep Learning for Conversion of Low-Resolution AVS Video to High-Resolution HEVC Video”, International Conference on Artificial Intelligence for Sustainable Innovation (AI-SI), 2025.
• Nawaz Mehmood, Sheheryar Khan, Jianfeng  CAO, Rizwan Qureshi and Hong Yan. “Saliency Detection by Using Blended Membership Maps of Fast Fuzzy-C-Mean Clustering” ICMV 2019, Germany. 
• Nawaz Mehmood, R Xie, L Zhang, M Asfandyar, M Hussain  “Image Super-Resolution by sparse linear regression and iterative back projection” (Published in BMSB 2016, Japan)
• Rizwan  Qureshi,  Nawaz Mehmood,  Sheheryar  Khan,  and  Hong  Yan  “Principal  Component Analysis and Clustering to  reveal the Dynamics of  EGFR  with L858R and T790M Mutation” (ICBRA 2019), Seoul, Korea, 2019. 
• M Asfandyar, Nawaz Mehmood, M Hussain “Accelerated CU Decision Based on Enlarged CU Sizes for HEVC UHD Videos” (Published in ICBSP- 2016, Beijing)
• M Asfandyar, Nawaz Mehmood, X Rong, L Zhang, M Hussain “Block of Interest Based AVS to HEVC Transcoding with Resolution Conversion” ( Published in IFTC- 2016, Shanghai )
• M Hussain, R Xie, L Zhang, Nawaz Mehmood, M Asfandyar “Multi-target tracking identification system under multi-camera surveillance system” (Published in PIC- 2016, Shanghai) 

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