Ragav Venkatesan

Applied Scientist at Alexa AI. Previously, an Applied Scientist at AWS AI Labs, Research Scientist at AWS Sagemaker and Researcher Intern at Intel. Received Doctorate in Computer Science and Masters in Electrical Engineering from Arizona State University. Founder of Thaalam Studios, Bass player and producer for Variety Pack.


Professional News & Updates

  • Sep 2020
    I have a paper accepted to the insights workshop at EMNLP 2020.
  • Sep 2020
    I am serving as a program committee member at AAAI 2021.
  • Aug 2020
    I authored a new book chapter on Domain Adaptation.
  • Jul 2020
    I am serving as a program committee member at WACV 2021.
  • April 2020
    New arXiv Pre-print titled "Out-of-the-box channel pruned networks" published.
  • Mar 2020
    I have a patent issued on privacy preserving ML.
  • Nov 2019
    I will be starting a new role as an Applied Scientist at Alexa AI.
  • Aug 2019
    Code for d-SNE is now available.
  • May 2019
    arXiv Pre-print titled "dSNE: Domain adaptation using Stochastic Neighborhood Embedding" is now available.
  • Mar 2019
    My CNN book is now available in a Chinese translation in mainland China.
  • Mar 2019
    My paper on 'Domain Adaptation using Stochastic Neighborhood Embedding' has been accepted for an Oral presentation at CVPR 2019. Source code and pre-print are upcoming.
  • Feb 2019
    I will be visiting GE Healthcare at San Ramon on Feb 6th.
  • Feb 2019
    I will be conducting a workshop on AWS Sagemaker Computer Vision at Amazon A9 in San Jose on Feb 4, 5.
  • Nov 2018
  • Nov 2018
  • Aug 2018
    My blog on Bring your own tensorflow and mxnet models to AWS Sagemaker is out now.
  • April 2018
  • Nov 2017
    I joined Amazon Web Services as a Research Scientist.
  • October 2017
    I successfully defended my dissertation.
  • October 2017
    I will be defending my PhD Dissertation on the 25th of October.
  • August 2017
    I made a guide for migration from theano to tensorflow. It is available here.
  • August 2017
    I will be giving a talk on Professional Networking at the ASU Fall 2017 Graduate Student Orientation.
  • July 2017
    I am writing a book chapter on "Image features and feature learning", to be published in late 2017.
  • July 2017
    I successfully defended by PhD Proposal and passed all my comprehensive and qualifier exams.
  • July 2017
    My PhD candidacy proposal defense will be on 19th July.
  • July 2017
    Updated version of the incremental learning paper is out on arXiv along with updated code.
  • June 2017
    I will be joining Amazon Web Services as a Research Scientist in November.
  • June 2017
    I will be visiting Amazon, Seattle on 14th June.
  • May 2017
    I have a paper, co-authored with Parag Chandakkar on Multi-Instance retrieval accepted in SPIE Journal of Medical Imaging.
  • May 2017
    I will be visiting NVIDIA, Santa Clara on 6th June.
  • May 2017
    arXiv paper titled "A Strategy for an Uncompromising Incremental Learner" published along with source code.
  • Apr 2017
    I will be visiting Qualcomm, San-Diego on 9th May.
  • Apr 2017
    I will be visiting Siemens Healthcare, Princeton on 5th May.
  • Mar 2017
    I will be attending the 50th year ceremony of ACM Turing Awards courtesy SIGMM scholarship.
  • Mar 2017
    I will be vising Facebook Seattle and the Facebook ML seminar during the first week of April.
  • Jan 2017
    I'm instructing the newly created course CSE591: Introduction to deep Learning for visual computing
  • Oct 2016
    I was volunteering with ICIP 2016 Organizing Committee.
  • Aug 2016
    I will be the teaching assistant for CSE 569: Statistical pattern recognition.
  • May 2016
    I have an oral paper accepted to to ICIP 2016. I released its source code earlier. I also have a longer version of the paper at arXiv.
  • April 2016
    arXiv paper titled "Diving deeper into mentee networks." published along with source code.
  • Dec 2015
    Official release of the multi-purpose theano-based Toolbox for building various types of CNNs.
  • Sep 2015
    I have a paper accepted in ICCV 2015.
  • Aug 2015
    I accepted the role of teaching assistant for Digital Video Processing.
  • Feb 2015
  • Jan 2015
    I am now the teaching assistant for Statistical Machine Learning.
  • Nov 2014
    I have a paper accepted in ISVC 2014.
  • Aug 2014
    I accepted the position of teaching assistant for the graduate level course Fundamentals of Statistical Learning.
  • April 2014
    I was with Intel® Corp. for the Spring and the Summer of 2014.
  • Dec 2013
    I had an oral paper accepted in VPQM 2014. I gave the talk on Jan 31, 2014.
  • Aug 2013
    I accepted the position of Teaching Assistant for the course Digital Video Processing
  • Feb 2013
    I gave a talk at the SPIE conference on Medical Imaging at Florida.
  • Dec 2012
    I had a paper co-authored at SPIE Journal of Electronic Imaging.
  • Dec 2012
    I had a paper accepted at SPIE conference on Medical Imaging.
  • Dec 2012
    I took the graduation walk for my MS in Electrical Engineering
  • Oct 2012
    My article on Academic Integrity got published in the The Hindu.
  • Aug 2012
    I accepted the teaching assistant position for the graduate level course Digital Video Processing for Fall 2012.
  • Aug 2012
    I had a paper accepted at ACM conference on Bio-Informatics, computational biology and bio-medicine.
  • Jul 2012
    I defended my Master's Thesis Successfully.
  • Jun 2012
    I had a paper accepted at IEEE conference on Engineering in Medicine and Biology.
  • Jun 2012
  • Mar 2012
    My first paper got accepted at IEEE International Conference on Image Processing.
  • Jan 2011
    I started working at the IPAlab at ASU.
  • Aug 2010
    I started my Masters in Signal Processing and Communication Engineering at ASU.