Big Data Analytics for Decision Making

Speaker: Valerio Pascucci, University of Utah
April 20, 2023

Presentation

Abstract

Advanced techniques for analyzing and understanding Big Data models are crucial for the success of any complex data-intensive decision-making process. As computational workflows permeate the modern scientific discovery process, new approaches are needed to manage, analyze, and make sense of scientific data as data sizes and complexity grows. CEDMAV research supports scientific workflows from when the data is produced, through its transformation and analysis, until the final stages of sense-making and decision support.

In this talk, I will present computation tools and approaches that permeate the software stack and all stages of workflows, dealing with many of the major impediments. Examples from neuroscience, materials science, wildfire management, and natural language processing show how key innovations at all stages of the workflows help reduce the time to discovery and produce new insights. Software elements covered in this talk will include a streaming infrastructure for managing/visualizing/analyzing data, topology-based methods for analysis, advances in visualization, and human-computer interaction methods, including virtual reality, high-dimensional analysis, and approaches for explainable AI.

Biography

Valerio Pascucci is the Inaugural John R. Parks Endowed Chair, the founding Director of the Center for Extreme Data Management Analysis and Visualization (CEDMAV), a Faculty of the Scientific Computing and Imaging Institute, and a Professor of the School of Computing of the University of Utah. Valerio has received the 2022 IEEE VGCT Visualization Technical Achievement Award and the 2022-2023 Distinguished Research Award (DRA) from the University of Utah and has been inducted into the IEEE VGTC Visualization Academy in 2022.

Valerio is also the President of ViSOAR LLC, a University of Utah spin-off, and the founder of Data Intensive Science, a 501(c) nonprofit providing outreach and training to promote the use of advanced technologies for science and engineering. Valerio's research interests include Big Data management and analytics, progressive multi-resolution techniques in scientific visualization, discrete topology, and compression. Valerio is the coauthor of more than two hundred refereed journal and conference papers and was an Associate Editor of the IEEE Transactions on Visualization and Computer Graphics.

Seminar Participation

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