Ali Mesbah Dept of Chemical & Biomolecular Engineering model predictive control, learning-based control, low-temperature plasma processing, machine learning and control for plasmas, semiconductor manufacturing
Javad Lavaei Dept of Industrial Engineering & Operations Research control theory, optimization, power systems
Aditi Krishnapriyan Dept of Chemical & Biomolecular Engineering Division of Computer Science (EECS) machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization
Guanyu Su Dept of Nuclear Engineering energy systems and technology, wireless sensor networks, machine learning, thermal hydraulics, heat and mass transfer in molten salt, high temperature thermal energy storage
Van P. Carey Dept of Mechanical Engineering mechanical engineering, use of machine learning to develop high performance energy conversion and thermal management technologies, micro-to-nanoscale modeling of the thermophysics of multiphase systems, waste plastic transport in environmental watersheds, waste plastic recycling
Benjamin Recht Division of Computer Science (EECS) machine learning, data science, artificial intelligence
Joshua Bloom Dept of Astronomy machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery
Anant Sahai Division of Computer Science (EECS) Division of Electrical Engineering (EECS) machine learning, artificial intelligence, information theory, communications theory, wireless communication, cognitive radio, distributed control, spectrum sensing, spectrum sharing, spectrum policy, power consumption in communications systems