Nathan Powell
Dr.
Nathan Powell
PostDoc
I hold a firm conviction in the transformative potential of automation, driving tangible advancements in productivity, precision, and safety, thereby enriching the overall quality of life for society. A multitude of challenges remain open for resolution, poised to benefit from enhanced comprehension of underlying theories and heightened control system proficiency integral to automation. Through collaborative efforts across disciplines, we can methodically tackle these challenges, ushering in fresh perspectives and elevated control system capabilities.
Nathan Powell is a postdoctoral researcher in the Data-Driven Modeling and Control (DDMAC) Lab at EPFL. Nathan Powell graduated summa cum laude from the University of Tennessee in 2016 and joined Virginia Tech shortly after to pursue a doctorate in Mechanical Engineering. His research focuses on dynamics and control, estimation and approximation theory, learning theory, and motion capture systems. He has been the awarded the Davenport Fellowship and Walts Fellowship while at Virginia Tech. As a researcher, he is interested in the mathematical analysis of engineering problems related to the fields of estimation and control.
