Efficient Machine Learning

Efficient Machine Learning for Scientific and Medical Applications

Yasir Ghunaim, Ph.D. Student, Computer Science

Feb 4, 18:00 - 20:00

B4/5 L0 A0215

Efficient Machine Learning machine learning Graph Neural Networks

This dissertation addresses key challenges of machine learning in scientific and medical domains by developing methods that improve model efficiency, data efficiency, and learning under real-world constraints.

From Dialects to Peptides: Scalable and Efficient AI for People

Muhammad Abdul-Mageed, Canada Research Chair, Natural Language Processing and Machine Learning; Associate Professor, School of Information, Department of Linguistics, The University of British Columbia

Feb 2, 12:00 - 13:00

B9 L2 R2325

AI Efficient Efficient Machine Learning

This talk presents a unified AI framework for decoding complex human and biological signals - spanning African and Arabic dialects to proteomics - by prioritizing rigorous measurement, cultural competence, and computational efficiency to ensure global scalability and accessibility.

Yasir Ghunaim

Ph.D. Student, Computer Science

Graph Neural Networks Continual Learning Efficient Machine Learning

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.