Instructor

Introduction to Convolutional Neural Networks.
Amazon Machine Learning University
Dr. Ragav Venkatesan is currently an applied scientist at Alexa AI. 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. Previously, Venkatesan was a research scientist at Amazon Web Services and from 2013 to 2014, was with the Intel Corporation as a computer vision research intern working on technologies for autonomous vehicles. Venkatesan regularly serves as a reviewer/program committee member for several peer-reviewed journals and conferences in machine learning and computer vision. Venkatesan was also the author of the book Convolutional Neural Networks in Visual Computing, which is currently available in both English and Mandarin.
Applied Scientist II
Research Scientist
Intel
Computer Vision
Research Intern
School of Computing Informatics and Decision Systems Engineering
Arizona State University
Bachelor of Engineering
Electronics and Communication Engineering
Anna University
ML Problems at a PLatform Scale.
ML Problems at a PLatform Scale.
Domain Adaptation using Stochastic Neighborhood Embedding.
Common dataset issues and plausible solutions.
Workshop on Amazon SageMaker.
Amazon SageMaker Semantic Segmentation.
Professional Networking for Graduate Students.
Tools for measuring images.
Tools for measuring images.
Neural Dataset Generality.
Perception-Inspired Spatio-Temporal Video Deinterlacing.
Retrieving clinically relevant diabetic retinopathy images using a multi-class multiple instance framework..
AAAI conference on artificial intelligence.
IEEE Winter conference on applications of computer vision.
IEEE Transactions on Image Processing
IEEE conference on computer vision and pattern recognition
IEEE Transactions of Neural Networks and Learning Systems
International Joint Conference on Artificial Intelligence (External)
ACM SIGGRAPH, Asia
IEEE International Symposium on Biomedical Imaging
IEEE International Conference on Image Processing
ASU Centennial Professorship Award.
IEEE Winter conference on applications of computer vision.
SPIE Journal of Electronic Imaging
IEEE Transactions of Circuits and Systems for Video Technology.
ACM International Conference on Multimdia.