Dr. Holleman received a Bachelor’s degree in Electrical Engineering from Georgia Tech in 1997, and the Master’s and Ph.D. degrees in Electrical Engineering in 2006 and 2009, respectively, both from the University of Washington. While at the University of Washington he developed several analog and mixed-signal chip designs, including power-efficient low-noise amplifiers for neural recording, an RFID-based bio-signal interface, an integrated wireless neural recording chip, and a true random number generator. He has previously worked for Data I/O and National Semiconductor. He joined the faculty of UT as an Assistant Professor in 2009. At UT his research projects have included amplifiers for neural interfaces, low-power wireless communications circuits, embedded systems, and low-power analog computational systems. His research interests include low-power integrated circuits for wireless sensing applications, biomedical devices, and neurally-inspired analog computational circuits.
Focus Areas: Low-power Systems | Implantable/Wearable Devices | Neuromorphic Computing | Wireless Systems
Skills and Expertise: Integrated Circuit Design | Analog/RF/Mixed-signal System Design | Analog Machine Learning Systems | Bio-interface Electronics