Gustavo Moreira
PhD Student
Computer Science
gmorei3@uic.edu
Bibliography
Omar, K. S., Moreira, G., Veiga, C., Miranda, F., Developing an Open Computational Framework for Decision Support Across Transportation, Weather, and Public Health, Sustainability Research + Innovation Congress 2025, Chicago, IL, June 17, 2025
Moreira, G., Bogucka, E. P., Constantinides, M., Quercia, D., The Hall of AI Fears and Hopes: Comparing the Views of AI Influencers and those of Members of the U.S. Public Through an Interactive Platform, Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, April 26, 2025
Moreira, G., Hosseini, M., Veiga, C., Alexandre, L., Colaninno, N., de Oliveira, D., Ferreira, N., Lage, M., Miranda, F., Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics, IEEE Transactions on Visualization and Computer Graphics, St. Pete Beach, Florida, October 13, 2024
Ferreira, L., Moreira, G., Hosseini, M., Lage, M., Ferreira, N., Miranda, F., Assessing the Landscape of Toolkits, Frameworks, and Authoring Tools for Urban Visual Analytics Systems, Computer Graphics 2024, Science Direct, Elsevier, August 21, 2024
Omar, K., Moreira, G., Hodczak, D., Hosseini, M., Colaninno, N., Lage, M., Miranda, F., Deep Umbra: A Generative Approach for Sunlight Access Computation in Urban Spaces, IEEE Transactions on Big Data, February 1, 2024
Sharma, A., Veiga, C., Li, P., Miranda, F., Moreira,G., Wu, S., Budhathoki, M., Tiwari, A., Wei, J., Turk, M., Makra, E., e-JUST - Environmental Justice using Urban Scalable Toolkit, American Meteorological Society 104th Annual Meeting, Baltimore, MD, January 28, 2024
Moreira, G., Hosseini, M., Nipu, M.N.A., Lage, M., Ferreira, N., Miranda, F., The Urban Toolkit: A Grammar-based Framework for Urban Visual Analytics, IEEE Transactions on Visualization and Computer Graphics (TVCG) / VIS2023, Melbourne, Australia, October 22, 2023
Omar, K., Moreira, G, Hodczak, D., Hosseini, M., Miranda, F., Crowdsourcing and Sidewalk Data: A Preliminary Study on the Trustworthiness of OpenStreetMap Data in the US, October 17, 2022
