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Chinmay Hegde is an Associate Professor in the Department of Electrical and Computer Engineering at New York University's (NYU) Tandon School of Engineering. His research interests lie at the intersection of machine learning, signal processing, optimization, and data science. He focuses on developing efficient, robust, and trustworthy algorithms for large-scale data analysis, particularly for applications in computer vision, healthcare, and scientific discovery. His work often explores theoretical underpinnings while aiming for practical impact, addressing challenges like learning with limited or noisy data, ensuring fairness and interpretability in AI systems, and understanding the behavior of deep neural networks.
Chinmay Hegde's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Received the prestigious National Science Foundation (NSF) Early Career Development (CAREER) Award for his research project titled 'CAREER: Non-convex Learning and Optimization for Large-scale Data Analysis'. This award supports early-career faculty who have the potential to serve as academic role models in research and education.
Awarded by Google to support world-class faculty pursuing cutting-edge research in areas of mutual interest. This recognized his contributions to machine learning and data science.
Achieved promotion to Associate Professor with tenure at NYU Tandon School of Engineering, acknowledging his significant contributions to research, teaching, and service in his field.
His research papers have received recognition at top-tier conferences and workshops in machine learning and signal processing, highlighting the impact and quality of his work (specific awards may vary, e.g., IEEE SPS Young Author Best Paper Award, or finalist mentions).
ISBM - Year 2005
Karnataka State Open University - Year 2001
Poornaprajna College, Udupi - 576102 - Year 1998
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