Sujal Vijayaraghavan

At MIT, January 2020.

Sujal T. Vijayaraghavan
Research student,
Department of Computer Science,
University of South Florida, Tampa

✉ sujal [at] usf [dot] edu

About

I am a Ph.D. student in the Department of Computer Science at the University of South Florida, Tampa, advised by Prof. Sudeep Sarkar. I am currently working on gait shape analysis and hierarchical self-supervised learning.

My interests in computer vision and machine learning include cognitively-inspired and hierarchical representation learning; and 3D vision for reconstruction and analysis of gait and rigid objects.

Education

  1. University of South Florida, Tampa
    Doctor of Philosophy (Ph.D.), Computer Science
    Adviser: Sudeep Sarkar
    2021 - present
  2. University of North Carolina, Charlotte
    Master of Science (M.S.), Computer Science
    Advisers: Jing Yang, Andrew Willis
    2016 - 2018
  3. Visvesvaraya Technological University, Belgaum
    Bachelor of Engineering (B.E.), Computer Science
    2011 - 2015

Industry

  1. Advanced Software Engineer
    Florida Blue, Jacksonville, Florida
    April 2018 - December 2020

    I worked on researching and prototyping papers relating to natural language and image processing, and developing web and mobile applications demonstrating applicability of prototypes in real time.

  2. Associate Software Engineer
    TechJini, Bangalore, Karnataka
    August 2015 - August 2016

    I worked as a software developer, developing cross-platform applications for web and mobile with focus on data visualisation and manipulation with D3.js for motion-embedded graphs and charts.

Research

  1. Graduate Research Assistant
    University of South Florida, Tampa, Florida
    Fall 2021 - present
    1. Graduate Research Assistant
      Computer Vision and Pattern Recognition (CVPR) Group
      Spring 2021 - present
    2. Graduate Research Assistant
      Centre for Assistive, Rehabilitation, and Robotics Technologies (CARRT) Lab
      Spring 2021 - Fall 2023
    3. Research Student
      Fall 2021

Teaching

  1. Graduate Teaching Assistant
    University of South Florida, Tampa, Florida
    1. Introduction to Deep Learning (CIS 4930)
      Spring 2023
    2. Operating Systems (COP 6611)
      Fall 2022
    3. Operating Systems (COP 4600)
      Spring 2021
  2. Graduate Teaching Assistant
    University of North Carolina, Charlotte, North Carolina
    1. Operating Systems and Networking (ITCS 3146)
      Fall 2017

Activities

Reviewer
  1. RA Letters (2023, 2022)
  2. ICVGIP (2023)
  3. ACVR (2023)
External reviewer
  1. NeurIPS (2022)
  2. ECCV (2022)
  3. ACMMM (2022)

Publications

  1. STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner
    1. Ramy Mounir
    2. Sujal Vijayaraghavan
    3. Sudeep Sarkar

    Thirty-seventh annual conference on Neural Information Processing Systems (NeurIPS 2023)

    December 2023
    •
    Poster presentation

  2. LocaliseBot: Multi-view 3D object localisation with differentiable rendering for robot grasping
    1. Sujal Vijayaraghavan
    2. Redwan Alqasemi
    3. Rajiv Dubey
    4. Sudeep Sarkar

    Tenth international workshop on Assistive Computer Vision and Robotics (ACVR) at ECCV 2022

    October 2022
    •
    Oral presentation

Projects

  1. Distributed Data Parallel Wrapper (DDPW)

    A utility library package to encapsulate scaffolding for PyTorch's Distributed Data Parallel on different compute platforms.

    • PyTorch
    • GPU training
    • SLURM
    • Apple M1

Blog posts

  1. Visualising the loss landscape
    Sunday, 26 September 2021

    A brief introduction to visualising and comparing the landscape of neural networks as a function of their hyperparameters and objective functions.

Email

sujal [at] usf [dot] edu

GPG fingerprint

B00A E563 4F5C BF5B C542 61F3 430D 8713 6F71 C159

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