Chinmay Hegde

Chinmay Hegde is an Associate Professor at the Tandon School of Engineering, NYU, with a joint appointment in Computer Science and Electrical Engineering. His research focuses on machine learning, signal processing, and their applications in cybersecurity, imaging, and materials science. He leads the DICE Lab, exploring data-driven solutions for complex engineering problems. Previously, he held positions at Iowa State University and MIT.

Education:

• Ph.D. in Electrical and Computer Engineering, Rice University (2012)
• M.S. in Electrical and Computer Engineering, Rice University (2010)
• B.Tech. in Electrical Engineering, IIT Madras (2006)

Research Interests: Machine Learning, Algorithms, Big Data, Signal Processing, Generative Models, Scientific Computing.

Awards:

• NSF CAREER Award (2018-2023)
• NeurIPS Top Reviewer Award (2019)
• MRS Open Data Challenge Award (2019)
• Ralph Budd Award for Best Thesis (2013)

Labs & Teams: Director of the DICE Lab, collaborating with industry partners on projects like real-time deepfake detection (GOTCHA), generative models for microstructure design, and AI-driven materials science.