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Rama Chellappa is a Bloomberg Distinguished Professor and Interim Director of the Data Science Artificial Intelligence Institute at Johns Hopkins University. With a pioneering career in artificial intelligence, Chellappa has made profound impacts in computer vision, pattern recognition, machine learning, and biometrics. He has contributed significantly to advancements in facial recognition technology, developing high-accuracy models used in federal and commercial sectors. His team's recent work includes methods for motion capturing with potential applications in healthcare. Chellappa joined Johns Hopkins after serving extensive terms at the University of Maryland, where he was the chair of the Department of Electrical and Computer Engineering. He has been influential in the field of biomedical engineering since his early studies, showcasing a diverse application of machine learning in areas like gait analysis and diagnostic methods. Recognized as a leading expert, he was inducted into the National Academy of Engineering in 2023 and has received several prestigious awards including the Jack S. Kilby Signal Processing Medal and the Azriel Rosenfeld Lifetime Achievement Award. His research career is distinguished by mentorship and contributions to founding principles of computer vision, laying a strong foundation for future technologies.
Johns Hopkins University • Baltimore, MD
Serving as a professor, focusing on machine learning and its applications.
Department of Electrical and Computer Engineering, University of Maryland • College Park, MD
Led the department, promoting research in pattern recognition and machine learning.
Department of Pathology - PhD in Pathobiology. GRE is not required.