Federico Iuricich

Federico Iuricich is an Assistant Professor in the School of Computing at Clemson University, directing the DataVis Lab. He earned his Ph.D. in Computer Science from the University of Genova, Italy, and held postdoctoral and research positions at the University of Maryland, Geographical Sciences Department (UMD), and Queens College (CUNY). His research focuses on topological data analysis (TDA), scalar field analysis, and geospatial data visualization, leveraging tools like discrete Morse theory and persistent homology.

Education:

• Ph.D. in Computer Science, University of Genova, Italy
• Postdoctoral Fellow, Department of Computer Science, University of Maryland, College Park
• Research Fellow, Geographical Sciences Department, UMD

Research Interests:

• Topological Data Analysis (TDA)
• Data Visualization and Multivariate Analysis
• Geospatial Data Processing (e.g., LiDAR, terrain meshes)
• Discrete Morse Theory and Persistent Homology
• Parallel Algorithms for Large-Scale Data

Publications: Recent work includes advancements in terrain tree segmentation, topology-aware mesh simplification, and web-based TDA tools like TopoEmbedding. His research bridges theory and application, addressing challenges in geospatial, biomedical, and computational domains.

Awards: None explicitly listed.

Advising & Grants: Leads the DataVis Lab, focusing on student collaboration in TDA and visualization. No specific grants mentioned in provided texts.

Labs/Teams: Director of Clemson’s DataVis Lab, specializing in topological and visual analysis of complex datasets.