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Amin Arbabian is a Professor in the Department of Electrical Engineering at Stanford University. He earned his Bachelor’s degree in Electrical Engineering from Sharif University of Technology in 2005, followed by a Master’s and a Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley in 2007 and 2011, respectively. His research interests include circuit system design with a focus on biomedical applications, sensing technologies, and Internet of Things (IoT) applications. In the biomedical domain, his work explores the design of emerging hybrid medical imaging modalities and new technologies for wireless implants and ultrasonic power data links. In the sensing arena, he investigates methods that enable next-generation interfaces, such as radar system design and human-computer interaction. His work in IoT focuses on architectural solutions for drastically miniaturized sensors and next-generation high-throughput wireless and wireline communication pipelines. He has received numerous accolades for his research and teaching, including the Tau Beta Pi Award for Excellence in Undergraduate Teaching and several paper awards from IEEE conferences. Additionally, Professor Arbabian serves as an associate editor for several prominent journals and has been involved in professional organizations, contributing to advancing the field of electrical engineering.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.