Hikaru Hoshino
Assistant Professor | Ph.D. in Engineering
Electrical and Electronic Engineering Course
Applied Power Engineering Research Group
My research combines mathematical modeling, control theory, and machine learning to develop methods for analyzing, controlling, and optimizing complex systems consisting of multiple interacting subsystems. Current applications include power and energy systems and medical systems, with particular emphasis on safety and optimal performance.
Modeling, Control, and Optimization of Complex Systems
What students can learn
Students learn to combine model-based and data-driven approaches to understand, control, and optimize complex systems, including power and energy systems and medical systems, using control theory as a common framework.
Our research explores the theory and applications of complex systems composed of multiple interacting subsystems. By combining multiscale mathematical modeling, nonlinear control theory, and machine learning methods for addressing uncertainty, we develop approaches for analyzing, controlling, and optimizing power and energy systems and medical systems, with particular emphasis on safety and optimal performance.
