Yasir Ghunaim
Yasir is a Computer Science Ph.D. student in Image and Video Understanding Lab (IVUL) Group at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Bernard Ghanem.
Biography
Yasir Ghunaim is a Ph.D. candidate in Computer Science at KAUST in the Image and Video Understanding Lab (IVUL), supervised by Professor Bernard Ghanem. His research focuses on efficient machine learning for scientific and medical applications, with an emphasis on improving data, training, and model efficiency to enable scalable and practical ML systems.
Yasir holds an M.S. in Computer Science from KAUST and a B.S. in Electrical and Computer Engineering from Virginia Tech. Prior to his graduate studies, he gained over seven years of experience in automation systems.
Research Interests
Yasir's research focuses on applying machine learning to solve real-world challenges, with an emphasis on efficient training and inference of models. This includes improving data, training, and model efficiency to create more scalable and effective solutions.
Education
- Master of Science (M.S.)
- Computer Science, King Abdullah University for Science and Technology (KAUST), Saudi Arabia, 2023
- Bachelor of Science (B.S.)
- Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, United States, 2014
