Rate My Professor Ved Chirayath

Ved Chirayath is the G. Unger Vetlesen Professor of Earth Sciences and Associate Professor in the Department of Ocean Sciences at the University of Miami's Rosenstiel School of Marine, Atmospheric, and Earth Science, with a secondary appointment in the Department of Mechanical and Aerospace Engineering. He serves as the inaugural Director of the Aircraft Center for Earth Studies (ACES), leading a multidisciplinary team in developing advanced instrumentation for underwater, airborne, and spaceborne remote sensing and communications. Chirayath holds a Ph.D. in aeronautics and astronautics and an undergraduate degree from Stanford University, following studies in theoretical physics at Moscow State University. Prior to joining the University of Miami in 2021, he directed the NASA Laboratory for Advanced Sensing at Ames Research Center as a tenured civil servant for ten years. His research centers on inventing and validating next-generation sensing technologies, including FluidCam, fluid lensing, MiDAR, NeMO-Net, and plasma-actuated drones, applied in field campaigns worldwide to map marine ecosystems like coral reefs at centimeter-scale resolution and study extreme environments as analogs for planetary science. These innovations address ocean wave distortions for high-resolution 3D seafloor imaging, supporting coastal resilience, climate change assessment, and exploration of ocean worlds.

Chirayath's contributions have earned prestigious recognitions, including the 2024 Gordon and Betty Moore Inventor Fellowship, 2021 NASA Astronaut Candidate finalist selection, 2020 AGU Falkenberg Award, 2019 NASA Invention of the Year for MiDAR, 2017 NASA Early Career Award, and 2016 NASA Equal Employment Opportunity Medal. Key publications include the high-school textbooks 'Physics' (2024) and 'Life' (2025) with National Geographic Learning & Cengage; 'Remote sensing the ocean biosphere' in Annual Review of Environment and Resources (2022); and 'Oceans across the solar system and the search for extraoceanic life' in Oceanography (2022). His work enhances public access to exploration technologies through machine learning for big data processing on supercomputers, significantly impacting Earth and planetary sciences by enabling precise biosphere assessment and stewardship.