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Events:
Prelim Announcement: “From Scenarios to Counterfactuals: Towards Visual Analytics for Definition and Analysis of Urban Futures”
APLU’s Council on Academic Affairs (CAA) Visit EVL
Congratulations to EVL Graduate Students on thier paper acceptance to IEEE TVCG!
Research:
Crowdsourcing and Sidewalk Data: A Preliminary Study on the Trustworthiness of OpenStreetMap Data in the US
Deep Umbra: A Global-Scale Generative Adversarial Approach for Sunlight Access and Shadow Accumulation in Urban Spaces
Kazi Shahrukh Omar
PhD Student
Computer Science
komar3@uic.edu
https://komar41.github.io
Bibliography
Miranda, F., Moreira, G., Omar, K. S., Veiga, C., Developing an Open Computational Framework for Decision Support Across Transportation, Weather, and Public Health,
Sustainability Research + Innovation Congress 2025
, Chicago, IL, June 17, 2025
Bhatt, T., Kungumaraju, R., Miranda, F., Omar, K. S., Wang, S., VIGMA: An Open-Access Framework for Visual Gait and Motion Analytics,
IEEE Transactions on Visualization and Computer Graphics
, April 28, 2025
Colaninno, N., Hodczak, D., Hosseini, M., Lage, M., Miranda, F., Moreira, G., Omar, K., Deep Umbra: A Generative Approach for Sunlight Access Computation in Urban Spaces,
IEEE Transactions on Big Data
, February 1, 2024
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