Hikaru Hoshino
Assistant Professor | Ph.D. in Engineering
Electrical and Electronic Engineering Course
Applied Power Engineering Research Group
Combining mathematical modeling, systems control theory, and machine learning, Hikaru Hoshino develops methods for creating new functions in complex systems built from many interacting elements. He examines power-energy systems and medical control systems through this lens, working toward approaches that support both safety and optimality.
Modeling, Control, and Optimization of Complex Systems
What students can learn
Students explore both model-based and data-driven approaches for creating new functions in complex systems, such as power-energy systems and medical control systems, with systems control theory as the unifying foundation.
This research investigates the theory and applications of complex systems, in which individual subsystems combine to form larger, interconnected systems. By integrating mathematical modeling across multiple time and spatial scales, nonlinear systems control, and machine learning techniques for handling uncertainty, the group seeks to create new system functions and to support safety and optimality in power-energy and medical control systems.
