Nariman Farsad's Webpage

I am an Assistant Professor in the Department of Computer Science at Ryerson University. Previously, I was a Postdoctoral Researcher at Stanford University, and a Senior Machine Learning and Algorithms Researcher at Apple Inc. My current research focuses on distributed deep learning and reinforcement learning, machine learning for sensing, and deep learning for video processing in virtual and augmented reality.

Email: nfarsad [at] ryerson [dot] ca

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Open Positions

I have multiple open positions at the undergrad, Masters, Ph.D., and Postdoctoral levels. I am looking for candidates with strong mathematical and programming background with interest in the broad areas of machine learning (supervised, unsupervised, deep learning, and reinforcement learning), communication systems and Internet-of-Things, biomedical sensing, and virtual and augmented reality. Interested candidates should send me an introductory email describing their background along with their CV with the "[Prospective Student]" in the subject line of the email.

Latest Updates

May 2020: I am organizing a Special Issue for the Journal Entropy on The Role of Signal Processing and Information Theory in Modern Machine Learning as Guest Editor.
April 2020: I was awarded the Natural Sciences and Engineering Research Council of Canada (NSERC), Discovery Grant.
April 2020: I was awarded the Natural Sciences and Engineering Research Council of Canada (NSERC), Launch Supplement.
March 2020: I was awarded the Canada Foundation for Innovation (CFI), John R. Evans Leaders Fund.
March 2020: Our paper "Data-driven factor graphs for deep symbol detection" has been accepted for presentation at ISIT 2020.