Paris Smaragdis

Paris Smaragdis is a Professor and Associate Head in the Department of Computer Science at the University of Illinois Urbana-Champaign, with a secondary affiliation in Electrical and Computer Engineering. His research focuses on audio processing, machine listening, and signal processing using machine learning. He holds over 40 patents and has led major initiatives in IEEE Signal Processing Society roles. Notable roles include Editor-in-Chief of the ACM/IEEE Transactions on Audio, Speech, and Language Processing, and former leadership in MERL and Adobe Research.

Education: PhD (2001), MS (1997), and postdoc at MIT under Barry Vercoe, specializing in computational audition.

Research Interests: Audio source separation, deep learning for signal processing, on-device processing, graph models, and neural network efficiency. His work has been commercialized in products used by millions.

Awards: IEEE Fellow (2015), TR35 (2006), multiple Best Paper Awards, and recognition for teaching excellence.

Professional Activities: Chair of multiple IEEE committees, including Audio and Acoustics Signal Processing, and leadership roles in data science initiatives. Collaborates with Fortune 500 companies on audio technologies.