The Machine Learning, Embedded Systems, and Networks (MLESN) research group at the Electrical Engineering Department of FUSST is dedicated to advance the frontiers of knowledge in the intersection of machine learning, embedded and networked systems. The group focuses on both theoretical advancements and practical applications in these areas, aiming to develop innovative solutions to real-world problems and contribute to the advancement of technology.
Control & Power Engineering group focuses on the application of control theory in network control systems and interconnected power systems. Research of this group spans through a variety of areas including but not limited to nonlinear control systems, quantization, multi-agent systems, fault-tolerant control, renewable energy systems, energy conversion and conservation, microgrids, flight control systems, cyber-physical systems, and robotics.