Summary
Motoya Ohnishi is an associate professor and visiting researcher with nine years of experience at the intersection of dynamical systems, control, and machine learning, holding a Ph.D. from the University of Washington. He leads a tenured research group at Ehime University and has held research positions at RIKEN, NVIDIA, SonyAI, and international institutions including KTH and Georgia Tech, applying theory to robotics and adaptive reinforcement learning. His work blends rigorous control theory (NMPC, barrier-certified learning) with practical robot learning and simulation, and he has contributed toolboxes and frameworks used in research settings. A recipient of competitive fellowships and scholarships, he frequently updates a public homepage with publications and code, signaling an active academic-engineering practice that spans theory, applied AI, and mentorship.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science and Engineering, 3.85/4.00, Doctor of Philosophy - PhD, Computer Science and Engineering, 3.85/4.00 at University of Washington
KTH Royal Institute of Technology
Master of Science - MS, Integrated Design Engineering, 3.87/4.00, Master of Science - MS, Integrated Design Engineering, 3.87/4.00 at Keio University
Japanese, English, Chinese, Swedish