معرفی
Fabio Miranda is an Assistant Professor at the Department of Computer Science, University of Illinois at Chicago (UIC). His research bridges visualization, machine learning, data management, and computer graphics to enable interactive visual analysis of large-scale urban datasets. He has developed systems like UrbanRama (for VR navigation) and The Urban Toolkit (a grammar-based framework), which have been deployed in academia, industry, and government agencies.
Education:
- Ph.D., Computer Science, New York University (2018)
- M.S., Computer Science, Pontifical Catholic University of Rio de Janeiro (2011)
- B.S., Computer Science, Federal University of Minas Gerais (2009)
Research Interests center on urban visual analytics, 3D analytics, and machine learning for accessibility. His work addresses challenges like sunlight access, sidewalk quality assessment, and commuting flow modeling, often collaborating with urban planners, climate scientists, and occupational therapists.
Scientific Recognition includes awards at IEEE VIS, SIBGRAPI, and SIGMOD. His research is funded by NSF, NIH, DOT, and DPI, with media coverage in The New York Times, The Economist, and Architectural Digest.
Teaching includes courses like CS 524: Big Data Visualization and Analytics and CS 424: Visualization and Visual Analytics. He emphasizes web-based systems, dataflow frameworks, and interdisciplinary collaboration, with open positions for PhD, MSc, and undergraduate researchers.
