Modern science increasingly relies on complex workflows that span AI, simulation, data analysis, cloud, edge, and HPC systems. Yet creating and managing these workflows remains difficult and time-consuming. This talk introduces the Pegasus Workflow Management System, which automates large-scale scientific workflows across heterogeneous computing environments. The seminar will discuss Pegasus capabilities for workflow automation, data management, fault tolerance, provenance, and scalable execution, as well as ongoing efforts to integrate AI into the workflow lifecycle. The talk will also demonstrate how AI-assisted approaches can help researchers move from high-level ideas, sketches, or examples to executable workflows, lowering barriers to advanced computing and enabling more accessible, resilient, and intelligent scientific automation. In addition, the seminar will highlight the availability of Pegasus through NSF cyberinfrastructure resources, including the ACCESS program and PATh, where researchers can use hosted Pegasus environments and integrated workflows on national-scale computing systems.
Ewa Deelman, Ph.D is a Research Professor at the University of Southern California (USC) Computer Science Department and a Research Director at the USC Information Sciences Institute (ISI). At ISI, she is leading the Science Automation Technologies Center. The Center explores the interplay between automation and the management of scientific workflows that include resource provisioning and data management, considering reproducibility and open science. Dr. Deelman is also the Principal Investigator and Director of the NSF-funded Cyberinfrastructure Center of Excellence that serves the NSF Major and Midscale Facilities. She has received a number of awards including the HPDC Achievement Award (2015) for “influence, contribution, and distinguished use of workflow systems in high-performance computing”, the Euro-Par Achievement Award (2022) for "outstanding impact on workflow-based parallel and distributed computing", and the IEEE Computer Society Sidney Fernbach Memorial Award (2025) for "pioneering research and software engineering in distributed systems in support of scientific workflows.” Dr. Deelman is an AAAS, IEEE, and USC/ISI Fellow.