Professor Visvesh Sathe joined the University of Washington Department of Electrical Engineering in 2013. Prior to joining the faculty at the University of Washington, he served as a Member of Technical Staff in the Low-Power Advanced Development Group at AMD, where his research focused on inventing and developing new technologies for next-generation microprocessors. Dr. Sathe has led the research and development effort at AMD that resulted in the first-ever resonant clocked commercial microprocessor. In addition, several of his other inventions have been adopted for use in future-generation microprocessors. His doctoral thesis was selected as the best dissertation in EECS for 2007 and was nominated for the Rackham Graduate School Distinguished Dissertation Award at the University of Michigan. He is a member of the Technical Program Committees of the Custom Integrated Circuits Conference and the International Symposium on Quality Electronic Design.
William Anthony Smith | William joined the University of Washington in June 2011. He received the B.S. degree in Electrical Engineering from The University of Texas at Austin and the M.S. degree from the University of Utah under Reid Harrison. His M.S. thesis discussed the robust transmission of data transcutaneously through inductively coupled links. He has held industry positions at Advanced Micro Devices and Spansion. During the Ph.D., his primary research focus has been on the development of high-density electrocorticography sensor systems for use in Brain-Computer Interfaces.
Fahim ur Rahman | Fahim received his BSc in Electrical Engineering from Bangladesh University of Engineering and Technology (BUET) in 2013, where he subsequently served as a lecturer. His research interests are in understanding quantum mechanical effects in small-scale devices, and the efficient design of low power systems. In his free time, Fahim enjoys table-tennis and soccer.
Sung Min Kim | Sung joined Visvesh Sathe’s group in 2015, after receiving the B.S. in Electrical Engineering from the University of Washington. He is broadly interested in leveraging ideas across computer architecture, VLSI, circuits, and algorithms to develop more capable and efficient hardware systems. Sung is currently working on hardware acceleration for machine learning and computer vision.
Bin Yu | Bin received a B.S. degree in Electrical Engineering from the University of Washington in 2015. He joins the group as a Master student in Fall 2015. His current research interests include the brain-computer interface, machine learning hardware and low-power biomedical integrated circuits.
Hamilton Sanchez (Undergraduate; now at Micron Technology Inc.)