معرفی
Claudio Silva is an Institute Professor of Computer Science and Engineering at NYU Tandon School of Engineering and Professor of Data Science at NYU Center for Data Science. He co-founded the Center for Urban Science and Progress (CUSP) and the Visualization, Imaging and Data Analysis (VIDA) Center. His academic journey includes a BS in mathematics from Universidade Federal do Ceará (1990) and PhD in computer science from SUNY Stony Brook (1996).
- Co-Director, VIDA Center
- Former Professor, University of Utah (2003-2011)
- Technology Consultant, MLB Advanced Media (2012-2017)
Research Interests:
At the intersection of visualization, geometric computing, and urban/sports analytics, his work includes:
- AR task guidance systems (ARGUS, HuBar)
- Urban data analysis (3D visualization, sidewalk mapping)
- LLM multimodal reasoning (POEM, BDIViz)
- Biomedical data tools (TopoMap++, T-Explainer)
2023-2025 Research Trends:
Recent publications focus on neuroadaptive AR systems (AdaptiveCoPilot), LLM prompt optimization (POEM), explainable AI frameworks (T-Explainer), and urban data visualization (Urban Rhapsody). Collaborations span NYU, Northrop Grumman, and NSF/DARPA grants for projects like OSCUR and PTG.
Scientific Honors:
- ACM Fellow (2024)
- IEEE Visualization Academy (2019)
- IEEE Technical Achievement Award (2014)
- Technology Emmy for Statcast (2018)
His lab has developed open-source tools like ARGUS on GitHub and pioneered methods in fNIRS-based cognitive workload analysis for pilot training systems. Current projects include NASA-funded OpenSpace and NSF-backed OSCUR.
