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Chinmay Hegde is an Associate Professor at NYU Tandon School of Engineering, specializing in advanced techniques in machine learning and data analysis. With a strong emphasis on applications in imaging and signal processing, his research contributes significantly to the interdisciplinary landscape of visualization and big data analysis. He leads the DICE (Data, Intelligence, and Computation in Engineering) Lab, focusing on theoretical aspects and the development of real-time technologies, particularly in the domain of cybersecurity and the mitigation of deepfake technologies. Hegde's work actively shapes the training of the next generation of cybersecurity professionals, facilitating research that influences public discourse on pressing technological issues. He is engaged in collaborative projects that push the boundaries of traditional data analysis and develop innovative solutions in various applied areas, including healthcare and education. His research interests encompass foundational topics in machine learning, algorithms, big data, and the intricate fields of signal and image processing. These efforts underscore his commitment to translating complex theoretical concepts into practical applications that respond to contemporary challenges.
Administered by the Department of Electrical and Computer Engineering.