Industry Experience

  • Present 2021
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    Nvidia AI

    Senior Software Engineer

  • 2014 2013
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    Intel

    Computer Vision
    Researcher Intern

Academic Experience

  • Present 2018

    Instructor

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    Introduction to Convolutional Neural Networks.
    Amazon Machine Learning University

  • 2017 2016

    Lecturer

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    School of Computing Informatics and Decision Systems Engineering
    Arizona State University

  • 2017 2011

    Research Assistant

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    Visual Representation and Processing Group
    Arizona State University

  • 2017 2012

    Teaching Assistant

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    School of Computing Informatics and Decision Systems Engineering
    Arizona State University

Education

  • Ph.D. 2017
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    Doctor of Philosophy

    Advisor: Dr. Baoxin Li
    Computer Science
    Arizona State University

  • M.S.2012
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    Master of Science

    Advisor: Dr. David Frakes
    Electrical Engineering
    Arizona State University

  • B.E.2010
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    Bachelor of Engineering

    Electronics and Communication Engineering
    Anna University

Talks and Lectures


  • June 2019

    IEEE Conference on Computer Vision and Pattern Recognition

    Domain Adaptation using Stochastic Neighborhood Embedding.

  • Feb 2019

    Amazon A9 Computer Vision Conference

    Workshop on Amazon SageMaker.

  • Jan 2019

    Seattle Machine Learning Meetup

    Amazon SageMaker Semantic Segmentation.

  • July 2017

    ASU International Students Graduate Orientation

    Professional Networking for Graduate Students.

  • Sep 2016

    International Conference on Image Processing

    Neural Dataset Generality.

  • Feb 2014

    International Workshop on Video Processing and Quality Metrics for Consumer Electronics

    Perception-Inspired Spatio-Temporal Video Deinterlacing.

  • Feb 2013

    SPIE conference on Medical Imaging

    Retrieving clinically relevant diabetic retinopathy images using a multi-class multiple instance framework..



Teaching Experience


  • Sess 3, 2019
    Amazon MLU CONV: Convolutional Neural Networks.
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    Instructor
  • Sess 5, 2018
    Amazon MLU CONV: Convolutional Neural Networks.
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    Instructor   Co-Instructor: Dr. John Dunavent
  • Sess 2, 2018
    Amazon MLU CONV: Convolutional Neural Networks.
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    Teaching Assistant   Instructor: Dr. John Dunavent
  • Spring 2017
    CSE 591: Introduction to Deep Learning for Visual Computing.
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    Instructor   Co-Instructor: Dr. Baoxin Li
  • Fall 2016
    CSE 569: Fundamentals of Statistical Learning.
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    Teaching Assistant   Instructor: Dr. Baoxin Li
  • Fall 2015
    CSE 509: Digital Video Processing.
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    Instructor   Co-Instructor: Dr. Baoxin Li
  • Spring 2015
    CSE 575: Statistical Machine Learning.
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    Teaching Assistant   Instructor: Dr. Jingrui He
  • Fall 2014
    CSE 569: Fundamentals of Statistical Learning.
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    Teaching Assistant   Instructor: Dr. Baoxin Li
  • Fall 2013
    CSE 509: Digital Video Processing.
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    Teaching Assistant   Instructor: Dr. Hari Sundaram
  • Spring 2013
    CSE 424, 485, 486: Capstone Projects.
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    Teaching Assistant   Instructor: Dr. Debra Callis
  • Fall 2012
    CSE 509: Digital Video Processing.
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    Teaching Assistant   Instructor: Dr. David Claveau