Scholar
Salman Khan
Google Scholar ID: M59O9lkAAAAJ
MBZUAI, Australian National University
Citations & Impact
Citations
36,668
H-index
82
i10-index
222
Publications
20
Co-authors
152
list available
Publications
Resume (English only)
Academic Achievements
- Honored to receive the Provost's Distinguished Research Award at MBZUAI. AirCast model won the best paper award at TerraBytes workshop at ICML, 2025! Won the 2nd place in AgentX competition (Research track, Reasoning & Planning) organized by Berkeley RDI. Congratulations to MBZUAI students Hashmat and Huzaifa on winning the Best Student Paper Runner-Up Award at ACCV’24 for our ObjectCompose work! The BiMedix project, led by Dr. Hisham, has won the inaugural Llama Impact Innovation Award! Four papers accepted at NeurIPS’24 and ICLR’25! Serving as an AC for CVPR’24, ICML’24 and ECCV’24. Seven papers accepted at CVPR’24! Seven papers accepted at ICCV’23! Acting as an Area Chair for CVPR’23, ICML’23 and NeurIPS’23. Nine papers accepted to CVPR’23! Co-organizing workshops on “Vision Transformer: Theory and Applications” at ACCV’22 (5th Dec ’22) and NeurIPS’22 (9th Dec ’22). Two papers accepted to NeurIPS’22! Acting as an Area Chair for NeurIPS’22 and ACML’22. Five papers accepted to ECCV 2022! Six papers accepted to CVPR 2022 (including 3 Orals)! Our paper on improving adversarial transferability of ViTs accepted in ICLR’22 as a spotlight (rate 5%). My Ph.D. student, Dr. Shafin Rahman, has been awarded the J.G. Crawford Prize for best thesis at ANU (Science Category). Organizing TPAMI Special Issue on “Transformers in Vision.”
Research Experience
- Previously, a Senior Scientist at Inception Institute of Artificial Intelligence and a Research Scientist in the Computer Vision Research Group (CVRG) at Data61, CSIRO. An adjunct faculty member at College of Electrical & Computer Science (CECS), Australian National University (ANU) since 2016. A research visitor at NICTA (National ICT Australia) in 2015 and also served as a research affiliate with Australian Center for Robotic Vision (ACRV).
Background
- Faculty at MBZUAI. Working on the crossroads of Vision, Language, and Learning. Research interests include model generalization, multi-modal learning, learning from limited data (zero and few-shot learning), and continual life-long learning systems for computer vision problems. Also interested in the applications of vision and learning algorithms to earth observation and climate science.
Miscellany
- Looking for exceptional candidates for two tracks: a) PostDocs, b) Research engineers at MBZUAI. PostDoc candidates are preferred to have a background in AI4Climate, Remote Sensing or Multimodal models. Research engineers must demonstrate strong development skills via past projects (background in GIS and remote sensing, AI4Climate is a plus).
