Research Overview

Our research and research approaches are multi-disciplinary, combining theories and techniques from

• Computer science: machine learning, AI, scientific computing;
• Electrical and computer engineering: control theory, edge computing, internet-of-things (IoT), sensors, embedded systems;
• Applied mathematics: optimization theory, dynamical systems;
• and various application domains.

We are particularly interested in the following application areas:

• AI-enabled smart and sustainable energy systems such as smart buildings, connected communities, smart grids, smart cities.
• Smart environment sensing and monitoring systems such as mobile robotic sensor networks (MRSN), wireless sensor networks, IoT sensing and monitoring in the built environments.
• Data-driven control and optimization.