Education Profile

  • M.Sc., Computer Science, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2018
  • B.A., Double Major in Computer Science and Mathematics, Cornell University, NY, USA, 2016

Professional Memberships

  • Association for Computing Machinery (ACM)
  • Cornell Computer Reuse Association (CCRA)
  • The National Society of Collegiate Scholars (NSCS)
  • Golden Key International Honour Society

Humam Alwassel is a Computer Science Ph.D. candidate in Image and Video Understanding Lab (IVUL) Group under the supervision of Professor Bernard Ghanem at King Abdullah University of Science and Technology (KAUST). 

Education and Early Career

Humam obtained his bachelor degree with double major in Computer Science and Mathematics from Cornell University in New York, USA in 2016. After that, he joined KAUST for the MS/PhD program and received his master degree in Computer Science in 2018.

Research Interest

He’s currently focused on the development of novel computer vision techniques for video understanding. His main research interests are in video understanding and human activity detection. In general, Humam is interested in computer vision and machine learning.

Selected Publications

Humam Alwassel, Fabian Caba Heilbron, Bernard Ghanem. Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization. In ECCV, 2018
Humam Alwassel, Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem. Diagnosing Error in Temporal Action Detectors. In ECCV, 2018.
Alwassel, H. (2018). Efficient Temporal Action Localization in Videos, (Thesis). https://hdl.handle.net/10754/627678