• Power flow control
• Preventive power system operation during predictable hazards, such as hurricanes
• Market-Based operation of transmission system
• Coordination between interdependent infrastructure systems
• Power system optimization
• Distributed energy storage

• Hybrid electric propulsion for aircraft
• Control of electric motors and generators
• Flight control systems and control allocation

Our research seeks to augment biological neural networks with artificial neural networks and bionic devices to treat neurological disorders and to further our understanding of neural processing. Working at the intersection of artificial intelligence, robotics, and neuroscience, we are developing biologically-inspired artificial intelligence and brain-machine interfaces to restore and/or enhance human function.

The research of the ECO Lab focuses on building the pathway to a reliable integrated-decentralized power system. In particular, we aim at developing new control, optimization, and machine learning theories and bridging them to the building blocks including smart buildings, vehicle-grid integration (VGI), microgrids, cyber-physical security, and grid-edge resources (GERs) integration. We seek to reform the power system to improve public health and reduce greenhouse gas (GHG) emissions, make electric services more resilient and secure, reduce long-term energy costs, and put our economy on a dynamic and sustainable footing.

• Cyber-Physical Resilience
• Demand Response and Flexibility
• Energy Storage Integration
• Power System Flexibility
• Power-Water Nexus
• Transportation Electrification