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Martin Radfar

Assistant Professor of Practice · Dept. of Computer Science

Stony Brook University · United States
Voice-based human-machine interfaceAuditory scene analysisBayesian networksNatural language processingCancer drug target predictionMachine learning

About

Martin Radfar is an Assistant Professor of Practice in the Department of Computer Science at Stony Brook University. His research focuses on voice-based human-machine interfaces, auditory scene analysis, and large-scale machine learning methods for Bayesian networks, natural language processing, and cancer drug target prediction.

Education

  • PhD, University of Toronto

Data verified 9/6/2026Source

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