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debanga/README.md

DEBANGA RAJ NEOG

Ph.D (UBC), B. Tech (IITG), CF (Nytilus INC.)

COMPUTER VISION AND MACHINE LEARNING RESEARCHER, ENTREPRENEUR

Who am I?

  • Assistant Professor in Mehta Family School of Data Science and Artificial Intelligence at Indian Institute of Technology Guwahati, India
  • Co-founder at Nytilus Inc., Toronto, a computational imaging startup for industrial applications. Raised seed investments from early stage VCs and Canadian industrial grants.
  • Ph.D. in Computer Science from The University of British Columbia (UBC), Vancouver, Canada.
  • B.Tech in Electronics and Communication Engineering from the Indian Institute of Technology Guwahati (IITG).
  • 12+ years of experience in leading academic and industrial projects in the areas of computer vision, computer graphics, and machine learning.
  • Recipient of Mitacs-INRIA Globalink Research Award and Four-Year Doctoral Fellowship at UBC.
  • 15+ in peer reviewed research papers in conferences and journals (Google Scholar).
  • Love to travel. 18 countries and counting.
  • I have also hosted several meetups related to language exchange and artificial intelligence in Canada and Europe.
  • I was featured in Entrepreneur Middle-East magazine.
  • Homepage: https://debanga.github.io
  • LinkedIn: https://www.linkedin.com/in/debanga/
  • Kaggle: https://www.kaggle.com/debanga

Research collaborations

  • 2016-2017: IMAGINE Lab, INRIA Grenoble Rhone-Alpes, France
  • 2011-2012: IMAGER Lab, UBC, Canada
  • 2011-2012: Iwahori Lab, Chubu University, Japan
  • 2010-2011: Computer Vision and Fuzzy Systems Lab, Hanyang University, South Korea
  • 2010-2012: Image Processing and Computer Vision (IPCV) Lab, IIT Guwahati, India

Broad areas of interest

  • Computer vision
  • Machine learning, in particular deep learning

Topics

  • Human face:
    • Face tracking and animation
    • Facial emotion recognition
    • Biomechanical modeling of human face
  • Industrial inspection
    • General object detection, classification, and segmentation
    • High dynamic range imaging
    • Polarization-based object defect detection
  • Others
    • Computer Graphics (Facial animation, facial muscle simulation)
    • AR/VR (Image-based scene capture for AR content generation)

Awrads

  • 2019: Selected to represent Nytilus INC. in MoveUp Acceleration Program in Belgium (raised 100K Euros)
  • 2018: Selected to represent Nytilus INC. in Techstars Acceleration Program in Dubai, U.A.E. (raised 120K USD)
  • 2016: Best Paper Award, the 21st International Conference on 3D Web Technology (Web3D '16)
  • 2016: Mitacs Globalink Research Award - INRIA, MITACS and UBC
  • 2012-2016: Four Year Doctoral Fellowship, University of British Columbia
  • 2013: Gordon Research Trainee Fellowship, Gordon Research Conference on Eye Movements
  • 2011: Japanese Research Merit Award, Inspec Inc. Japan

Pinned Loading

  1. Creative-AI-Meetup Creative-AI-Meetup Public

    Curated example codes for the meetups of "Toronto Creative Deep-Learning Group"

    Jupyter Notebook 3 1

  2. Random-Colabs Random-Colabs Public

    Collection of Google Colabs @ built in spare time :)

    Jupyter Notebook

  3. Tensorflow-deeplab_bokeh Tensorflow-deeplab_bokeh Public

    This Tensorflow example uses Google's DeepLab model to generate a Bokeh image.

    Python 4 3

  4. EyeMove EyeMove Public

    EyeMove Project

    2

  5. flask_example flask_example Public

    A demo for the deployment of a machine learning model (image classification) using Flask

    HTML 3