Research Areas

Workflow Management Systems for Science

Scientific workflows are a cornerstone of modern scientific computing, and they have underpinned some of the most significant discoveries of the last decade (e.g., first detection of gravitational waves from colliding black holes, the discovery of the Higgs boson, etc.). Workflows are a keystone component for enabling reproducibility at scale...

Leading Researcher:
Ewa Deelman

Enhancing National Cyberinfrastructure

The NSF’s Major Facilities are large, multi-user research facilities that operate and manage sophisticated and diverse research instruments and platforms (e.g., large telescopes, interferometers, distributed sensor arrays) that serve a variety of scientific disciplines, from astronomy and physics to geology and biology and beyond. At USC/ISI, the Cyberinfrastructure Center of...

Leading Researcher:
Ewa Deelman

Machine Learning for Science

The imminent arrival of data-oriented and machine learning-based analysis modalities employed by researchers has created a number of exciting new research challenges for the scientific computing research community. Workflows are increasingly composed of various types of tasks such as long-running machine learning model training, short machine learning inference, and multi-node...

Leading Researcher:
Loïc Pottier

Modeling and Simulation of Distributed Computing Systems

Teaching topics related to Cyberinfrastructure (CI) is most effective when students have opportunities for hands-on learning. Participation and pedagogic challenges stem from the need to provide students with access to CI platforms, and to expose students to a variety of different learning scenarios. By using simulation, a software artifact that...

Leading Researcher:
Loïc Pottier