Joonho Lee received the B.S. degree from Dong-a University, Busan, South Korea in 2004, the M.S. degree from Yonsei University, Seoul, South Korea in 2006, and the Ph.D. degree from Michigan State University, East Lansing in 2015, all in mechanical engineering. In 2015, he was a Research Associate in the Department of Mechanical Engineering at Michigan State University to design and implement control algorithms for autonomous vehicles in the presence of uncertainties. From 2016, he moved to the Department of Mechanical Engineering at Cleveland State University, where he conducted research on a powered prosthetic leg and cyber-enabled machine as a Research Associate. He was working on control design for autonomous cars at HRL Laboratories, LLC (formerly Hughes Research Laboratories). From 2018 to March, 2022, he worked for General Motors, R&D. At General Motors, R&D he was working on wheel control algorithms such as Traction Controls and Engine Drag using Explicit Nonlinear Model Predictive Control (ENMPC). In addition, he conducted research on deep reinforcement learning based on a multi time-scale structure and stochastic approximation (e.g., the ODE method) for the applications to ground vehicles. Currently, he is a Sr. Engineer for Guidance Navigation Control & Autonomy at Boeing Research and Technology. His research interests include the areas of Deep Reinforcement Learning based Stochastic Approximation, nonlinear controls, specifically a multi-time-scale approach, estimators designs (Graph Neural Networks, Machine Learning, conventional observers), under-actuated mechanical systems (vehicle chassis and wheels dynamics, helicopters, quadrotrs, etc).