海外招聘特別講演：3月6日（木）14:40～15:40　会場：5C216

Current Approaches to Human Performance Research
: The Potential of Coaching with Artificial intelligence

講演者：Michael E. Hahn, PhD（Director: Bowerman Sports Science Center at University of Oregon）

コーディネーター：榎本靖士（筑波大学）

講師・登壇者の紹介・経歴

Dr. Michael E. Hahn

Professor in Department of Human Physiology Director of the Bowerman Sports Science Center Associate Director of the Wu Tsai Human Performance Alliance at Oregon

Dr. Michael Hahn joined the Department of Human Physiology in 2012, after having spent four years as a research scientist at the VA Puget Sound in Seattle and five years as a faculty member at Montana State University in Bozeman. He received a B.S. from Colorado Mesa University in 1996, an M.S. from Iowa State University in 2000, and a Ph.D. from the University of Oregon in 2003. Between graduate degrees, he worked at the Mayo Clinic in the Orthopedic Biomechanics Laboratory, specializing in hand and wrist joint function after injury and joint replacement. His research interests have ranged from prevention of falls, to utilization of computational analysis tools (such as artificial neural networks, support vector machines, and genetic algorithms) for solving complex modeling and optimization tasks. His current research focus includes injury risk reduction and performance management during sport, with applications in running mechanics and soccer cleat design.

代表著書・論文等

Jin, L., & Hahn, M. E. (2024). Lower Extremity Joint Kinetics during Walk-to-Run and Run-to-Walk Transitions. Biomechanics, 4(2), 246-258.

Donahue, S. R., & Hahn, M. E. (2023). Estimation of gait events and kinetic waveforms with wearable sensors and machine learning when running in an unconstrained environment. Scientific Reports, 13(1), 2339.

Donahue, S. R., & Hahn, M. E. (2023). Estimation of ground reaction force waveforms during fixed pace running outside the laboratory. Frontiers in Sports and Active Living, 5, 974186.

Donahue, S. R., & Hahn, M. E. (2022). Validation of running gait event detection algorithms in a semi-uncontrolled environment. Sensors, 22(9), 3452.