Dr. Abbasi-Asl is an Assistant Professor in the Department of Neurology and the Department of Bioengineering and Therapeutic Sciences at UCSF. He is a Weill Neurohub Investigator and serves as the director of Data Analytics and Visualization at the Weill Institute for Neuroscience at UCSF. He received his PhD and MSc in Electrical Engineering and Computer Sciences at UC Berkeley in 2018 He is the recipient of the Eli Jury Award from UC Berkeley, in 2018, the May J. Koshland Fund in Memory of H.A. Jastro Award from UC Berkeley Graduate Division in 2016, the Excellence Award in Biomedical Engineering from Sharif University of Technology in 2013, and the Excellence Award in Electrical Engineering from Tehran Polytechnic in 2010. He is currently a core member at the UCSF Neuroscape labs, Bakar Computational Health Sciences Institute, Kavli Institute for Fundamental Neuroscience, UC Berkeley/UCSF Bioengineering and Computational Precision Health, and UCSF Bioinformatics graduate groups. His research is supported through funding from NIH National Institute of Mental Health, NIH National Institute of Aging, Weill Neurohub, Sandler Program for Breakthrough in Biomedical Research, UCSF Innovation Ventures, and Google.
Date: December 4, 2023 (13 Azar 1402)
Time: 10:00 – 12:00
Venue: Dr. Abedi Conference Hall, 3th floor Aborayhan Building, Amirkabir University of Technology
ABSTRACT:
In this talk, I will outline our quest to investigate the role of advanced computational tools in understanding brain functions and its related disorders. More specifically, I will present solutions based on interpretable machine learning to (1) integrate multi-modal spatio-temporal data collected from the brain (and body) in both microscopic and macroscopic resolutions, (2) predict functions of biological systems in different resolutions, and (3) determine the functional differences across neurological disorders.
Login link: https://vc.sharif.edu/ch/ieee
Registration link to receive attendance certificate: http://itrc.ac.ir/seminars In person and virtual
