Jeremy H. Holleman

Assistant Professor - Electrical Engineering and Computer Science Department

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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

Selected Publications:

On the Impact of Approximate Computation in an Analog DeSTIN Architecture
S. Young, J. Lu, J. Holleman, and I. Arel, IEEE Transactions on Neural Networks and Machine Learning, vol. 25, no. 5, pp. 934-946, 2014.
A 1 TOPS/W Analog Deep Machine-Learning Engine with Floating-Gate Storage in 0.13 μm CMOS
J. Lu, S. Young, I. Arel, and J. Holleman, IEEE International Solid-State Circuits Conference, Digest of Technical Papers, 2014.
A 4 μW Dual-Modulus Frequency Divider with 198% Locking Range for MICS Band Applications
M. S. Jahan and J. Holleman, Springer Analog Integrated Circuits and Signal Processing, vol. 77, no. 3, pp. 549-556, 2013.
A Low-Power High-Precision Comparator with Time-Domain Bulk-Tuned Offset Cancellation
J. Lu and J. Holleman, IEEE Transactions on Circuits and Systems, vol. 60, no. 5, pp. 1158-1167, 2013.
A High Input Impedance Low-Noise Instrumentation Amplifier with JFET Input
T. Yang, J. Lu, and J. Holleman, IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS),, 2013.
Design of Ultra-low Power Biopotential Amplifiers for Biosignal Acquisition Applications
F. Zhang, J. Holleman, and B. Otis, IEEE Transactions on Biomedical Circuits and Systems, 2012.
A Wideband Ultra-Low-Current On-Chip Ammeter
J. Lu and J. Holleman, IEEE Custom Integrated Circuits Conference, 2012.
NeuralWISP: A Wirelessly-Powered Neural Interface with 1-m Range
D. Yeager, J. Holleman, R. Prasad, J. Smith, and B. Otis, IEEE Transactions on Biomedical Circuits and Systems, vol. 3, no. 6, pp. 379-387, 2009.
A 500μW Neural Tag With 2μVrms AFE and Frequency Multiplying MICS/ISM FSK Transmitter
S. Rai, J. Holleman, J. Pandey, F. Zhang, and B. Otis, IEEE International Solid-State Circuits Conference, 2009.
A Digital 1.6pJ/bit Chip Identification Circuit Using Process Variations
Y. Su, J. Holleman, and B. Otis, IEEE Journal of Solid-State Circuits, vol. 43, no. 1, pp. 69-77, 2008.