Electrical and Computer Engineering
Associate Professor, EE Associate Chair, and Director of Assessment
- Ph.D. University of Washington, 2009
- M.S. University of Washington, 2006
- B.S. Georgia Institute of Technology, 1997
- Low-power Analog, Mixed-signal, and RF Circuits
- Bio-medical Interface Design
- Neuromorphic Computation
- Machine Learning Hardware
- Resource-constrained Embedded Systems
M. Judy, N.C. Poore, P. Liu, T. Yang, C. Britton, D. S. Bolme, A. K. Mikkilineni, and J. Holleman, “A Digitally Interfaced Analog Correlation Filter System for Object Tracking Applications.” IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 65, No. 9, pp. 2764–2773, 2018.
Hasan, M. Munir, and Jeremy Holleman. ”Implementation of Linear Discriminant Classifier in 130nm Silicon Process.” In Circuits and Systems (ISCAS), 2018 IEEE International Symposium on, pp. 1-5. IEEE, 2018.
T. Yang, J. Holleman, “An Ultra-Low-Power Low-Noise CMOS Bio-Potential Amplifier for Neural Recording” IEEE Transactions on Circuits and Systems II, Express Briefs, Vol. 62, No. 10, pp. 927– 931, 2015.
J. Lu, S. Young, I. Arel, J. Holleman, “A 1 TOPS/W Analog Deep Machine-Learning Engine with Floating-Gate Storage in 0.13 μm CMOS” IEEE Journal of Solid-State Circuits , Vol. 50, Issue 1, pp. 270–281, Jan. 2015.
S. Young, J. Lu, J. Holleman, I. Arel, “On the Impact of Approximate Computation in an Analog DeSTIN Architecture,” IEEE Transactions on Neural Networks and Machine Learning, Vol.25, Issue 5, pp. 934–946, May 2014.