Valerio Pascucci

Valerio Pascucci is a Professor at the University of Utah's School of Computing and a DOE Laboratory Fellow at Pacific Northwest National Laboratory. He directs the Center for Extreme Data Management Analysis and Visualization (CEDMAV) and previously led projects at Lawrence Livermore National Laboratory and University of Texas at Austin.

• PhD in Computer Science (Purdue University, 2000)
• MSc in Electrical Engineering (University 'La Sapienza', Rome, 1993)

As a pioneer in Big Data Management, Scientific Visualization, and Computational Topology, his work connects topological methods with progressive algorithms to enable interactive exploration of petascale datasets. His research spans climate modeling, neuroscience, materials science, and precision agriculture, focusing on multi-resolution techniques and geometric compression.

Recent publications show specialization in web-based visualization and AI-driven analytics for climate data, with emphasis on equity in data access and FAIR data principles. His ViSUS project enables real-time data streaming from supercomputers to desktops, while NAPA explores GPU-based architectures for streaming algorithms.

Scientific Awards:

• Best Paper Award, IEEE Pacific Visualization 2011
• Best Application Paper Award, IEEE VIS 2006
• DOE Laboratory Fellow

He advises numerous graduate students and leads collaborations across national laboratories, universities, and industry. Funded by NSF Grant #2127548, he develops technologies for exascale computing and geospatial intelligence.