معرفی
Dan Wilson is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, within the Tickle College of Engineering. He holds a PhD in Mechanical Engineering from the University of California, Santa Barbara (2016), and dual undergraduate degrees from the University of Washington (BS Mechanical Engineering, 2011) and Whitman College (BA Natural and Mathematical Sciences, 2011).
His research focuses on medical applications of dynamical systems, model reduction techniques for nonlinear systems, and optimal control strategies with applications to neuroscience and cardiology. He has pioneered methods for analyzing and controlling oscillatory systems, particularly in cardiac arrhythmias and neural populations. Notable contributions include phase-amplitude reduction frameworks and isostable coordinate approaches for high-dimensional systems.
Wilson has received prestigious awards, including the SIAM Life Sciences Early Career Prize (2022) and an NSF CAREER Award (2022). He has secured over $1.5 million in grants, including NSF funding for nonlinear model reduction and collaborative projects in fluid dynamics and AI-driven decision-making. He teaches courses in control systems, linear systems theory, and nonlinear dynamics.
He advises PhD students in areas such as cardiac chaos modeling, circadian rhythm synchronization, and fluid flow reduction. His work bridges theoretical dynamical systems with practical biomedical applications, emphasizing data-driven methodologies and interdisciplinary collaboration.
