Lecturer in A.I/Data Science
Computing Science 4B85, Cottrell Building, University of Stirling, Stirling, FK9 4LA
See Google Scholar and Publications list
Hazrat Ali is a Lecturer in Artificial Intelligence and Data Science. He is an experienced educator and researcher with over a decade of experience in the field. He has honed his skills at some of the most prestigious universities and research institutes across the globe, including working as a researcher at the Biomedical Engineering R&D centre of Umea University Sweden and Hamad Bin Khalifa University Qatar. His extensive research portfolio spans various areas of Generative AI, Medical AI, healthcare, and computer vision, with a specific focus on generative adversarial networks for medical imaging, deep learning for ultrasound medical imaging, and AI for healthcare. He has developed AI methods for medical images for applications such as GANs for disease transformation, GANs for medical imaging super-resolutions, and deep learning for motor unit segmentation, which have been widely adopted and cited by the research community. He made contributions to deep learning for ultrasound imaging and the VIPVIZA projects at Umea University Sweden. In addition, he has developed open-source datasets, including a dataset of natural scene images with Urdu text, the UHaT dataset (the first dataset on Urdu handwritten characters), and a speech corpus for Urdu. These datasets, available on the Kaggle platform, have proven to be invaluable resources for AI-oriented tasks and have contributed to advancing the field of AI.
He has authored more than 60 peer-reviewed articles published in top-tier international journals and conferences including IEEE Transactions on Image Processing, Nature Scientific Reports, IEEE CVPR workshop, and NeurIPS workshops. He is the lead editor of the book Advances in Deep Generative Models for Medical AI published by Springer Nature.
He is a senior member of IEEE, Ambassador at Global Council for Responsible AI, member of SAGES, and a former member of the Swedish AI Society. He serves as Associate Editor at IEEE and as Academic Editor at PeerJ Computer Science. He is lead guest editor for special issue on Multimodal AI for Healthcare. He has organized and/or chaired several workshops/conferences including the first workshop on Foundation AI Models in Biomedical Imaging at the 2025 IEEE International Conference on Biomedical Imaging, a special session on AI in Surgery at the UK premier conference on Medical Imaging Understanding and Analysis (MIUA 2025), and a special session on Multimodal Generative AI in Healthcare at the AI in Healthcare conference (AIiH 2025). He has served as session chair at Machine Intelligence and Signal Processing (MISP 2022). He has been the lead organizer of the 2021 NeurIPS meet-up in Doha, Qatar and the 2020 meet-up in Umea, Sweden. He is PC member at leading international conferences including IEEE International Conference on Artificial Intelligence ICAI 2024, IEEE CVPR Workshop on WiCV2024, and MICCAI. He has delivered invited talks at various national and international venues including St. John University New York USA, Biomedical Engineering R & D of Umea University Sweden, and International Conference on Computational Sciences and Technology (INCCST 2019). He was selected as a young researcher at the 5th Heidelberg Laureate Forum, Heidelberg, Germany. He is the recipient of the DAAD AI Networking Fellowship Germany 2021, the Best Researcher Award by COMSATS University (2020-2021), and the Kempe Foundation Sweden grant for postdoc research, the HEC PhD Scholarship, the scholarship grant by European Machine Learning school, the Top 10 research pitch award by the University of Queensland, Australia, IEEE Student Travel Award, the IBRO grant, the USTB excellent international student award, and the Erasmus Mundus STRoNGTiES research grant.
Generative AI, Medical AI, Deep Learning, Healthcare
Senior Member
Institute of Electrical and Electronics Engineers
Article
Cross modality medical image synthesis for improving liver segmentation
Rafiq M, Ali H, Mujtaba G, Shah Z & Azmat S (2025) Cross modality medical image synthesis for improving liver segmentation. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 13 (1). https://doi.org/10.1080/21681163.2025.2476702
Article
Hannan A, Mahmood Z, Qureshi R & Ali H (2025) Enhancing diabetic retinopathy classification accuracy through dual-attention mechanism in deep learning. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 13 (1). https://doi.org/10.1080/21681163.2025.2539079
Article
A deep convolutional neural network-based novel class balancing for imbalance data segmentation
Kalsoom A, Iftikhar MA, Ali A, Shah Z, Balakrishnan S & Ali H (2025) A deep convolutional neural network-based novel class balancing for imbalance data segmentation. Scientific Reports, 15, Art. No.: 21881. https://doi.org/10.1038/s41598-025-04952-y
Article
Cyberbullying Detection and Abuser Profile Identification on Social Media for Roman Urdu
Atif A, Zafar A, Wasim M, Waheed T, Ali A, Ali H & Shah Z (2024) Cyberbullying Detection and Abuser Profile Identification on Social Media for Roman Urdu. IEEE Access, 12. https://doi.org/10.1109/access.2024.3445288
Article
Ahmed FA, Yousef M, Ahmed MA, Ali HO, Mahboob A, Ali H, Shah Z, Aboumarzouk O, Al Ansari A & Balakrishnan S (2024) Deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries: a systematic review. Artificial Intelligence Review, 58 (1). https://doi.org/10.1007/s10462-024-10979-w
Article
Jan N, Minallah N, Sher M, Wasim M, Khan S, Al‐Rasheed A & Ali H (2024) Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data. Engineering Reports, 7 (1). https://onlinelibrary.wiley.com/doi/full/10.1002/eng2.13031; https://doi.org/10.1002/eng2.13031
Conference Paper (unpublished)
An Early Investigation into the Utility of Multimodal Large Language Models in Medical Imaging
Khan S, Biswas MR, Murad A, Ali H & Shah Z (2024) An Early Investigation into the Utility of Multimodal Large Language Models in Medical Imaging. 2024 IEEE International Conference on Information Reuse and Integration for Data Science (IRI), San Jose, CA, USA, 07.08.2024-09.08.2024. https://doi.org/10.1109/iri62200.2024.00056
Article
Single Stage Adaptive Multi-Attention Network for Image Restoration
Zafar A, Aftab D, Qureshi R, Fan X, Chen P, Wu J, Ali H, Nawaz S, Khan S & Shah M (2024) Single Stage Adaptive Multi-Attention Network for Image Restoration. IEEE Transactions on Image Processing, 33, pp. 2924-2935. https://doi.org/10.1109/tip.2024.3384838
Article
Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study
Abd-alrazaq A, Nashwan AJ, Shah Z, Abujaber A, Alhuwail D, Schneider J, AlSaad R, Ali H, Alomoush W, Ahmed A & Aziz S (2024) Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study. JMIR Formative Research, 8, Art. No.: e49411. https://doi.org/10.2196/49411
Article
Ali H, Shah Z, Alam T, Wijayatunga P & Elyan E (2024) Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention. Frontiers in Radiology, 3. https://doi.org/10.3389/fradi.2023.1349830
Edited Book
Advances in Deep Generative Models for Medical Artificial Intelligence
Ali H, Rehmani MH & Shah Z (eds.) (2023) Advances in Deep Generative Models for Medical Artificial Intelligence. Studies in Computational Intelligence. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-46341-9
Article
Ali H, Qureshi R & Shah Z (2023) Artificial Intelligence-Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review. JMIR Medical Informatics, 11, Art. No.: e47445. https://doi.org/10.2196/47445
Article
Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review
Ali H, Mohsen F & Shah Z (2023) Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review. BMC Medical Imaging, 23, Art. No.: 129. https://doi.org/10.1186/s12880-023-01098-z
Machine Learning
Data Strategy
Relational and non-relational databases
Previously taught: Digital Signal Processing, Signals & Systems, Python programming
Associate Fellow
Higher Education Academy
