Jennie SiJennie Si

Professor
ASU Directory Profile

GWC 351
480-965-6133
si@asu.edu

Research expertise: Learning and approximate dynamic programming, estimation and filtering of stochastic processes, neural networks, neurophysiological basis for learning and cognitive processing, cortical neural information processing

Jennie Si received her bachelor’s and master’s degrees from Tsinghua University in Beijing, China, and her Ph.D. from the University of Notre Dame, all in electrical engineering. She joined the ASU faculty in 1991 where she is currently a professor.

Professional preparation
Ph.D., electrical engineering, University of Notre Dame, 1992
M.S., electrical engineering, Tsinghua University – Beijing – China, 1988
B.S., electrical engineering,  Tsinghua University, 1985

Recognition and awards
Listed in several Marquis Who’s Who publications since late 1990s; NSF/White House Presidential Faculty Fellow (1995); Motorola Excellence Award (1995); NSF Research Institution Award (1993); IEEE Fellow (2008); Past associate editor of IEEE Transactions on Automatic Control, IEEE Transactions on Semiconductor Manufacturing, and IEEE Transactions on Neural Networks; Action Editor of Neural Networks; General Chair of the 2007 International Joint Conference on Neural Networks; General Co-Chair of the 2014 World Congress on Computational Intelligence.

Professional associations
IEEE Fellow, 2008
Past associate editor of IEEE Transactions on Automatic Control, IEEE Transactions on Semiconductor Manufacturing, and IEEE Transactions on Neural Networks
Current associate editor of Neural Networks, the official journal the International Neural Networks Society

Selected publications

Yuan Yuan, Hongwei Mao, and Jennie Si. “Cortical neural responses to previous trial outcome during learning of a directional choice task.” Journal of Neurophysiology. 113.7: 1963-1976. 2015.

Hongwei Mao and Jennie Si. “Improved discriminability of spatiotemporal neural patterns in rat’s agranular medial and lateral areas as directional choice learning progresses.” Frontiers in Systems Neuroscience. 2015. http://journal.frontiersin.org/article/10.3389/fnsys.2015.00028/abstract#

Wenchao Meng, Qinmin Yang, Jennie Si, and Youxian Sun. “Adaptive Neural Control of a Class of Output-constrained Nonaffine Systems.” IEEE Transactions on Cybernetics. 2015.

Wentao Guo, Feng Liu, J. Si, D. He, R. G. Harley, and S. Mei. “Online Supplementary ADP Learning Controller Design and Application to Power System Frequency Control with Large-Scale Renewable Energy Integration.” IEEE Trans. on Neural Networks and Learning Systems. 2015.

Wentao Guo, Feng Liu, J. Si, D. He, R. G. Harley, and S. Mei. “Approximate Dynamic Programming Based Supplementary Reactive Power Control for DFIG Wind Farm to Enhance Power System Stability.” Neurocomputing. 2015.

Yun Li, Jennie Si, Shasha Huang, and Songcan Chen. “FREL: A stable feature selection algorithm.” IEEE Transactions on Neural Networks and Learning Systems. 26(7): 1388-1402. 2015.

Hongwei Mao, Chenhui Yang, Glen Abousleman, and Jennie Si. “Automatic detection and tracking of multiple interacting targets from a moving platform.” Optical Engineering. 53(1): 013102-013102. 2014.

Chenhui Yang, Yuan Yuan, and Jennie Si. “Robust spike classification based on frequency domain neural waveform features.” Journal of Neural Engineering. 10(6): 066015. 2013.

Yuan Yuan, Chenhui Yang, and Jennie Si. “The M-Sorter: an automatic and robust spike detection and classification system.” Journal of Neuroscience Methods. 210: 281-290. 2012.

Feng Liu, Jian Sun, Jennie Si, and Shengwei Mei. “A Boundedness Result for the Direct Heuristic Dynamic Programming.” Neural Networks. 32: 229-235. 2012.