Jennie Si

Jennie Si
Born1963 (age 62–63)
Other nameJie Si
Education
HonorsIEEE Fellow
Scientific career
WorkplacesArizona State University
ThesisAnalysis and Synthesis of Discrete-Time Recurrent Neural Networks With High Order Nonlinearities (1992)
Anthony N. Michel

Jennie Si (born 1963, also published as Jie Si) is a Chinese and American electrical engineer and computer scientist whose research involves approximate dynamic programming in control theory, neural networks, reinforcement learning, and wearable robotics. She is a professor in the School of Electrical, Computer and Energy Engineering at Arizona State University.

Education and career

Si was a student at Tsinghua University, where she received a bachelor's degree in 1985 and a master's degree in 1988. She completed her Ph.D. at the University of Notre Dame in 1992, with the dissertation Analysis and Synthesis of Discrete-Time Recurrent Neural Networks With High Order Nonlinearities supervised by Anthony N. Michel.

She joined Arizona State University as an assistant professor of electrical engineering in 1991, and was promoted to full professor in 2000.

Recognition

Si was named as an IEEE Fellow in 2008, "for contributions to approximate dynamic programming, and to the analysis and synthesis of neural networks".

References

  1. 1 2 3 4 5 Author biography from Sun, Jian; Liu, Feng; Si, Jennie; Mei, Shengwei (November 2012), "Direct heuristic dynamic programming based on an improved PID neural network", Journal of Control Theory and Applications, 10 (4): 497–503, doi:10.1007/s11768-012-0112-0
  2. 1 2 CSS IEEE Fellows Archive, IEEE Control Systems Society, retrieved 2026-07-23
  3. ↑ Habib, Farhan (February 5, 2019), "One step at a time: ASU professor looks to make prosthetics more adaptable", The State Press, retrieved 2026-07-23
  4. 1 2 3 4 "Jennie Si", ASU Search, Arizona State University, retrieved 2026-07-23
  5. ↑ Jennie Si at the Mathematics Genealogy Project