Instructor
Introduction to Convolutional Neural Networks.
Amazon Machine Learning University
Profile
Professional Biography
Dr. Ragav Venkatesan is currently a senior software engineer at Nvidia AI and was previously employed as an applied scientist at Amazon Alexa AI and AWS Sagemaker. He received his PhD in Computer Science from Arizona State University in 2017. He had been a research associate with the Visual Representation and Processing Group at ASU, and had served as an instructor or teaching assistant for several graduate-level courses in machine learning, computer vision and signal processing. Prior to this, he was a research assistant with the Image Processing and Applications Lab at ASU, and obtained a Master of Science in Electrical Engineering in 2012. Venkatesan was also employed by the Intel Corporation as a computer vision research intern working on technologies for autonomous vehicles. Dr. Venkatesan regularly serves as a reviewer/program committee member for several peer-reviewed journals and conferences in machine learning and computer vision. Dr. Venkatesan was also the author of the book Convolutional Neural Networks in Visual Computing, which is currently available in both English and Mandarin.
Industry Experience
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Present 2021
Nvidia AI
Senior Software Engineer
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2021 2017
Amazon Web Services AI Labs
Applied Scientist
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2014 2013
Intel
Computer Vision
Researcher Intern
Academic Experience
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Present 2018
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2017 2016
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2017 2011
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2017 2012
Teaching Assistant
School of Computing Informatics and Decision Systems Engineering
Arizona State University
Education
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Ph.D. 2017
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M.S.2012
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B.E.2010
Bachelor of Engineering
Electronics and Communication Engineering
Anna University
Talks and Lectures
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June 2019
IEEE Conference on Computer Vision and Pattern Recognition
Domain Adaptation using Stochastic Neighborhood Embedding.
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Feb 2019
Amazon A9 Computer Vision Conference
Workshop on Amazon SageMaker.
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Jan 2019
Seattle Machine Learning Meetup
Amazon SageMaker Semantic Segmentation.
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July 2017
ASU International Students Graduate Orientation
Professional Networking for Graduate Students.
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Sep 2016
International Conference on Image Processing
Neural Dataset Generality.
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Feb 2014
International Workshop on Video Processing and Quality Metrics for Consumer Electronics
Perception-Inspired Spatio-Temporal Video Deinterlacing.
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Feb 2013
SPIE conference on Medical Imaging
Retrieving clinically relevant diabetic retinopathy images using a multi-class multiple instance framework..