Dr. Manish Parashar
University of Utah
Manish Parashar is the inaugural Chief AI Officer at the University of Utah. He is also Executive Director of the Scientific Computing and Imaging (SCI) Institute, and Presidential Professor in the Kalhert School of Computing. He leads the University’s One-U Responsible AI Initiative.
Manish’s expertise is in high-performance parallel and distributed computing and cyberinfrastructure, and his research has enabled new insights across multiple science domains.
Manish has received several awards for his research and leadership, including the 2023 IEEE Computer Society Sidney Fernbach Award, the 2024 CRA Distinguished Service Award, and the 2025 ACM Distinguished Service Award. Manish is a Fellow of AAAS, ACM, and IEEE.
Presentation Title: Harnessing the Digital Continuum for Science
Emerging data-driven, AI-enabled scientific workflows, such as those underlying digital twins, integrate distributed data sources with pervasively available computing resources, spanning HPC to the edge, to understand end-to-end phenomena, drive experimentation, and facilitate critical decision making. Despite the exponential growth of available digital data sources at the edge and the ubiquity of non-trivial computational power for processing this data, realizing such science workflows remains challenging. This talk will explore a digital continuum spanning resources at the edges, in HPC centers and clouds, and in-between, and providing abstractions that can be harnessed to support science. The talk will also introduce recent research in programming abstractions that can express what data should be processed and when and where it should be processed, as well as autonomic middleware services that automate the discovery of resources and the orchestration of computations across these resources.