Salman Khan

Prior to joining MBZUAI, Professor Khan was a senior scientist with the Inception Institute of Artificial Intelligence (2018-2020), and an honorary lecturer with Australian National University (ANU) since 2016. Previous roles include working as a research scientist with Data61-CSIRO from 2016-2018, and visiting researcher with National ICT Australia (NICTA), CRL, in 2015.

Professor Khan acted as an investigator on several competitive research grants funded by government and commercial entities. Professor Khan has also acted as a referee for international grant agencies such as the Australian and European Research Council (ARC and ERC), and IEEE Chair for Computer Society.

Professor Khan is a recipient of several prestigious scholarships, including Fulbright and IPRS, and served as a program committee member for several premier conferences where he has won multiple outstanding reviewer awards. He was the guest editor for IEEE TPAMI and an area chair for IEEE CVPR 2022. He, alongside his collaborators, won the best paper award in ICPRAM 2020, and top ranks in CVPR-NTIRE 2019 and 2021 challenges on image enhancement.

• Ph.D. in computer science from the University of Western Australia (UWA), Australia (Honorable mention on Dean’s list).

• Outstanding reviewer award at IEEE CVPR (2019).
• Best paper award at 9th ICPRAM 2020.
• 2^nd prize in the NTIRE Image Enhancement Competition alongside CVPR 2019.
• The recipient of several prestigious scholarships, including Fulbright and IPRS.
• Program committee member for several premier conferences including CVPR, ICCV, ECCV, ICRA, IROS, NeurIPS, AAAI and IJCAI.
• Honorable mention on UWA’s Dean’s List Award for his thesis.
• Nominated for prestigious ‘Robert Street Prize’ at UWA and the ‘John Makepeace Bennett Award’ from CORE, Australia.

Khan has published more than 80 papers in top scientific journals and conferences such as TPAMI, IJCV, CVPR, ICCV, ECCV, ICLR, NeurIPS, IJCAI, IROS and AAAI.

• M. Naseer, K. Ranasinghe, S. H. Khan, M. Hayat, F. S. Khan, and M-H. Yang, “Intriguing Properties of Vision Transformers,” Advances in Neural Information Processing Systems, (NeurIPS), 2021. [Oral].
• KJ Joseph, J. Rajasegaran, S. H. Khan, F. S. Khan, and V. Balasubramanian “Incremental Object Detection via Meta-learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), IEEE, 2021.
• S. Ramasinghe, K. Ranasinghe, S. Khan, N. Barnes and S. Gould “Conditional Generative Modeling via Learning the Latent Space,” 9th International Conference on Learning Representations, (ICLR), 2021.
• S. H. Khan, M. Hayat, S. W. Zamir, J. Shen and L. Shao, “Striking the Right Balance with Uncertainty,” IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), Long Beach, US, 2019. [Oral].
• S. H. Khan, M. Hayat, M. Bennamoun, F. Sohel and R. Togneri, “Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2017.