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Yasser Khan is an Assistant Professor in the Ming Hsieh Department of Electrical and Computer Engineering at the University of Southern California, having joined in 2022. He earned his Bachelor’s and Master’s degrees in Electrical Engineering from the University of Texas at Dallas and KAUST, respectively. He completed his Ph.D. in Electrical Engineering and Computer Sciences at the University of California, Berkeley, in 2018, after which he conducted postdoctoral research in the Department of Chemical Engineering at Stanford University. Dr. Khan's research focuses on additive manufacturing, hardware-enabled AI, and the development of next-generation wearables, implantables, and ingestibles for precision health and psychiatry. His contributions to the field have been recognized with multiple prestigious awards, including the 2024 Packard Fellowship and the 2025 Air Force Office of Scientific Research Young Investigator Award. His work has been published in leading journals and has received significant media coverage from outlets like BBC News and the Wall Street Journal.
Requires general GRE for all graduate degrees.