Shahriar Negahdaripour earned his Bachelor of Science, Master of Science and Ph.D. in mechanical engineering from the Massachusetts Institute of Technology in 1979, 1980 and 1987, respectively. He joined the University of Miami in 1991 and is a professor in the Department of Electrical and Computer Engineering. His research focuses on underwater vision- and acoustic-based perception for machine intelligence and autonomous systems. He has led projects supported by the National Science Foundation (NSF), the Office of Naval Research (ONR), the National Oceanic and Atmospheric Administration (NOAA), the Strategic Environmental Research and Development Program (SERDP) and the U.S. Department of Defense. A leader in the computer vision community, he has served as general co-chair of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition and the IEEE International Symposium on Computer Vision, in addition to serving on the technical committees of numerous conferences. In 2012, he was elevated to IEEE Fellow for his contributions to underwater computer vision.
Negahdaripour is the recipient of numerous honors, including the NSF Engineering Initiation Award, SERDP Project of the Year, and multiple best paper awards from IEEE conferences and workshops. He has also mentored award-winning student researchers at the IEEE OCEANS Conference.
Guilherme De Oliveira earned a Bachelor of Science in automation engineering and a Master of Science in computer engineering from the Federal University of Rio Grande (FURG) in Brazil in 2022 and 2025, respectively. He is currently a doctoral student in the Department of Electrical and Computer Engineering at the University of Miami. His research focuses on forward-looking sonar image modeling and deep learning-based methods for 3D reconstruction from 2D sonar imagery, with an emphasis on advancing underwater perception and imaging technologies.
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