معرفی
Jennie Si is a Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU), with additional affiliation as Interdisciplinary Graduate Faculty in the School of Life Sciences. She joined ASU in 1991 and holds degrees from Tsinghua University (B.S. and M.S., 1985 and 1988) and the University of Notre Dame (Ph.D., 1992), all in Electrical Engineering.
Her research focuses on reinforcement learning, optimal control, approximate dynamic programming, and control of nonlinear systems and wearable robots. She has led over 20 NSF and industry-funded projects, including studies on neural correlates of attention, adaptive learning algorithms, and robotic design paradigms. Notable grants include the NSF Presidential Faculty Fellows Award (1995-2002) and projects with General Dynamics and DARPA.
Dr. Si has taught courses such as Artificial Neural Computation and Optimal Control. She actively contributes to academic service, including organizing workshops on Approximate Dynamic Programming and reviewing books like True Genius: The Life and Science of John Bardeen. Her interdisciplinary work bridges engineering, neuroscience, and robotics.
