Research

Intelligent systems comprise of machines, devices, and software that are aware of and interact with their environment, making independent decisions and learning in the real-world. Their ability to automate routine tasks, provide expert advice and support, and improve decision-making, is already making an impact on industries across the board, from healthcare to manufacturing and transportation.

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Our research focuses on the design of intelligent systems that can seamlessly infer, reason, and act in the real-world using large amounts of data, learn from their experiences and improve their performance, adapt and respond to unpredictable situations, and effectively interact with each other and humans to accomplish collaborative tasks. To realize this research, we develop new methods drawing from control theory, optimization, and learning and AI as well as the necessary theoretical and experimental support. Our application domains include robotics, cyber-physical systems, and healthcare/medicine.