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APLU’s Council on Academic Affairs (CAA) Visit EVL
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
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
Hodczak, D., Hosseini, M., Miranda, F., Moreira, G, Omar, K., Crowdsourcing and Sidewalk Data: A Preliminary Study on the Trustworthiness of OpenStreetMap Data in the US, October 17, 2022
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