Khaled Kamal Saab

Mark and Mary Stevens Interdisciplinary Graduate Fellow
PhD student
Electrical Engineering
Affiliation:
Interdisciplinary Graduate Fellows in Neuroscience

Khaled was born in Pittsburgh, Pennsylvania and grew up in Beirut, Lebanon. He received his B.S. in Computer Engineering from Georgia Institute of Technology in 2017 and is currently pursuing his PhD in Electrical Engineering at Stanford University. 

His research interests are in using tools from control theory, stochastic optimization, and machine learning to build reliable and interpretable models for medical applications. Specifically, he is currently working on using multiple sensing modalities to improve detection and localization of seizures.

Related Projects

Wu Tsai Neurosciences Institute
SIGF - Graduate Fellowship
2019
Weak supervision in medical multi-modal time series

The project aims to alleviate this bottleneck by developing a weak supervision system that optimally deals with time-series data and takes advantage of multiple data modalities.

Wu Tsai Neurosciences Institute
Neuroscience:Translate Award
2019
Multi-modal deep learning for automated seizure localization

Developing an automated seizure detection and localization system based on deep neural networks, EEG data, and real-time video with the goal to dramatically increase neurologist diagnostic capabilities while improving quality of care.