Kazi Shahrukh Omar

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CS PhD student @ University of Illinois Chicago.

Research Assistant at Electronic Visualization Laboratory (EVL) advised by Dr. Fabio Miranda.

My research leverages skills in visualization & visual analytics, big data analysis, and applied machine learning. Specifically, I focus on utilizing these skills within diverse domains like urban planning and healthcare, aiming to enhance the ability of domain experts to efficiently analyze large-scale data and uncover complex patterns through advanced visual analytics systems. My work also involves open-sourcing projects to foster further research in these areas, that include: (1) VIGMA, a comprehensive system for gait data processing, analysis, and visualization, and (2) Deep Umbra, an accumulated shadow computation technique along with visual analytics system and shadow dataset for over 100 cities.

Outside of my academic work, I enjoy playing guitar, listening to music, and a little bit of reading. Recently, I've developed a growing interest in board games and anime.

News

Jun 2025

Presented poster at the Sustainability Research + Innovavtion Congress 2025. :speaker:

May 2025

Started full-time role as“PhD Data Visualization Intern” at Epsilon working with the Decision Sciences Visual Analytics team. 💼

Apr 2025

“VIGMA: An Open-Access Framework for Visual Gait and Motion Analytics” has been accepted for publication in the journal “IEEE Transactions on Visualization and Computer Graphics”. View the paper here. :label:

Mar 2025

Abstract titled “Developing an Open Computational Framework for Decision Support Across Transportation, Weather, and Public Health” accepted for presentation at the Sustainability Research + Innovavtion Congress 2025. View the poster here :label:

Oct 2024

Attended CLEETS Fall School on decarbonizing road transportation with global experts (Certificate). 🌱

Selected publications

  1. vigma.png
    VIGMA: An Open-Access Framework for Visual Gait and Motion Analytics
    Kazi Shahrukh Omar, Shuaijie Wang, Ridhuparan Kungumaraju, and 2 more authors
    IEEE Transactions on Visualization and Computer Graphics, 2025
  2. deep_umbra.png
    Deep Umbra: A Generative Approach for Sunlight Access Computation in Urban Spaces
    Kazi Shahrukh Omar, Gustavo Moreira, Daniel Hodczak, and 4 more authors
    IEEE Transactions on Big Data, 2024
  3. sidewalk.png
    Crowdsourcing and Sidewalk Data: A Preliminary Study on the Trustworthiness of OpenStreetMap Data in the US
    Kazi Shahrukh Omar, Gustavo Moreira, Daniel Hodczak, and 2 more authors
    ASSETS UrbanAccess Workshop, 2022