
Ying-Cheng Lai is a Regents Professor, the ISS Endowed Professor of Electrical Engineering,
and a Professor of Physics at ASU. He is a Vannevar Bush Faculty Fellow (Department
of Defense), a Fellow of the American Physical Society, a Fellow of the American Association
for the Advancement of Science, a Corresponding Fellow (foreign member) of the National
Academy of Science and Letters of Scotland, and a foreign member of Academia Europaea
(The Academy of Europe). His current research interests are Machine Learning for Nonlinear
and Complex Dynamical Systems, Quantum Chaos, and Theoretical Ecology.
Reservoir Computing: Machine Learning Meets Nonlinear Dynamics
Abstract : Reservoir computing has recently been exploited to solve a variety of challenging problems in complex nonlinear dynamical systems. The speaker will review some recent works from his group in this area: predicting tipping point and critical transitions, digital twins of nonlinear dynamical systems, parameter and trajectory tracking, and associative memory for complex dynamical patterns. Some open questions will be discussed.
Collaborators: Shirin Panahi, Ling-Wei Kong, Zheng-Meng Zhao, and Mohammadamin Moradi