Office: Bldg 1, Level 4, 4335-WS18


•      PhD in Computer Vision, Oxford Brookes University, United Kingdom (2020-2023)
•      Master’s in Software Convergence (Computer Vision), Sejong University, Seoul, South Korea (2018-2020)
•      Bachelor’s in Computer Science, Islamia College University Peshawar, Pakistan (2013-2017)

Honors & Awards

•      Fully-funded PhD studentship by Huawei Technologies in Oxford Brookes University, UK (2020)
•      Fully-funded MS Scholarship in Software Convergence, Sejong University, South Korea (2018)
•      Paper on my BS thesis “Multi-grade brain tumor classification using deep CNN with extensive data augmentation” is the most cited paper in Elsevier Journal of Computational Science
•      Winner of Speed Programming Competition at Islamia College University (ICUETC-15) (2015)

Salman Khan is a visiting research student at Vision-CAIR group in Visual Computing Center (VCC), King Abdullah University of Science and Technology (KAUST).

Education and Early Career

Salman Khan received his Master’s degree in Computer Vision from Sejong University, Seoul, Republic of Korea in 2020 with research in vision-based fire/smoke detection. Currently, pursuing his PhD degree in Computer Vision (Deep Learning for Modelling Complex Video Activities) from Oxford Brookes University, Oxford, United Kingdom. He is also working as a research assistant at Visual Artificial Intelligence Laboratory (VAIL) since February 2020. Here at KAUST, he is a visiting researcher at the Vision-CAIR group working with Prof.Mohamed Elhoseiny on Vision-Language models.

Research Interests

Salman Khan’s primary research interests are in computer vision, modelling the Deep Learning models for Complex Activities Detection. Here, at KAUST, he wants to extend his vision-based models to language-assisted Spatio-temporal video grounding.