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Ph.D. student
UCSD
La Jolla, California, United States
Mehrdad Ramezani is a Ph.D. candidate in the Department of Electrical and Computer Engineering at the University of California, San Diego. His research lies at the intersection of engineering, neuroscience, and data science, focusing on the development of neural interface technologies to advance the study of brain function. By integrating signal processing, computational modeling, and multimodal neural recordings, he seeks to uncover fundamental insights into neural dynamics and information processing.
High Channel-Count Neural Interfaces: Applications and Challenges
Thursday, June 12, 2025
3:15 PM - 4:30 PM ET