Ph.D., Mechanical Engineering, Ohio State University, 2002
M.S., Mechanical Engineering, Ohio State University, 1998
B.S., Physics Education, Seoul National University, Korea, 1994
Dr. Hwan-Sik Yoon’s research interests include modeling, simulation, and control of dynamic systems. His current research efforts are focused on vehicle powertrain systems, hybrid electric vehicles, autonomous vehicles, and application of machine learning in automotive engineering. Some of the exemplary projects that Dr. Yoon’s research group has conducted include:
Development of a high-fidelity engine modeling framework in Simulink
Vision-based estimation and control of excavator manipulator
Energy flow analysis tool development for conventional and hybrid electric vehicles
Time-to-failure determination for automotive system components using machine learning
Honors and Awards
NSF Outstanding Faculty Advisor Award, National Science Foundation, 2019
College of Engineering Faculty Productivity Award, Tennessee Tech University
Xu, J. and Yoon, H.-S., 2019, “Vision-Based Estimation of Excavator Manipulator Pose for Automated Grading Control,” Automation in Construction, 98, pp. 122-131, DOI: 10.1016/j.autcon.2018.11.022.
Xu, J. and Yoon, H.-S., 2018, “Sliding Mode Control of Hydraulic Excavator for Automated Grading Operation,” SAE International Journal of Commercial Vehicles, 11(2), DOI: 4271/02-11-02-0010.
Young, K., Jones, R., Hamley, A.J., Stoddard, J., Foust, T., Puzinauskas, P., and Yoon, H.-S., 2018, “Development of a Catalytic Converter Cool-Down Model to Investigate Intermittent Engine Operation in HEVs,” SAE International Journal of Alternative Powertrains, 7(2), DOI:4271/08-07-02-0009.
McGehee, J. and Yoon, H.-S., 2015, “Optimal Control of a Mild Hybrid Electric Vehicle using Genetic Algorithms,” Proceedings of Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 229(7), pp.875-884, DOI: 1177/0954407014548739.
Thompson, B. and Yoon, H.-S., 2015, “Continued Development of a High-Fidelity 1D Physics-Based Engine Simulation Model in MATLAB/Simulink,” SAE 2015 World Congress, Apr. 21 – 23, Detroit, MI, DOI: 4271/2015-01-1619.