Martin Radfar (PhD, University of Toronto) Assistant Professor of Practice Room 131, Dept. of Computer Science, Stony Brook University, New York, USA Also affiliated with: Institute for AI-Driven Discovery and Innovation at Stony Brook University Email: radfar@cs.stonybrook.edu

Research:

• Voice-based human-machine interface and auditory scene analysis.
• Developing fast and large-scale learning and inference methods for Bayesian networks.
• Natural language processing for speech alignment.
• Cancer drug target prediction using large-scale machine learning analysis of genomic data and networks.

Teaching:

• CSE351: Introduction to Data Science
• CSE215: Foundation of Computer Science
• CSE391: Data Science
• ISE316: Introduction to networking

Other highlights:

• Short Bio
• Students
• Curriculum Vita (PDF).
• Some of my Publications
• Awards