SEES

The research in the Subsurface Energy and Environmental Systems (SEES) lab is at the interface of AI and Machine Learning, Estimation and Control, and Energy Science and Engineering, to develop physics-informed AI solutions for energy and industrial applications. Our lab focuses on integrating Machine Learning with physics and domain knowledge to advance the state-of-the-art in inference, prediction, and control of complex subsurface energy and environmental systems. The research in our lab is sponsored by government, industry, and not-for-profit foundations. Within the Viterbi School of Engineering, we are affiliated with the Mork Family Department of Chemical Engineering and Materials Science, Ming Hsieh Departmental of Electrical Engineering, and Sonny Astani Departmental of Civil and Environmental Engineering.

Primary location: Los Angeles United States