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The Siebel School of Computing and Data Science is shaping the future of technology,
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Siebel School Experts at Work

Big challenges. Bold solutions. See how our faculty, students and alumni are shaping tomorrow's world.

Bo Li and her Virtue AI team hired by Meta

Siebel School of Computing and Data Science

Siebel School News
September 17, 2026

Siebel School Director Nancy Amato discusses global robotics evolution

CGTN America

Siebel School In the Media
September 11, 2026

Sheldon Jacobson says airport security is making Americans less safe

Washington Post ($)

Siebel School In the Media
September 11, 2026

Nam Sung Kim receives award for data center memory architecture

Electrical & Computer Engineering

Siebel School News
September 11, 2026

Get to know Illinois Cancer Scholar and alum: Ruei-yuan Tu

Cancer Center at Illinois

Siebel School News
September 11, 2026

Dong Wang recieves Amazon grant for human-centered AI, social sensing and intelligence project

School of Information Sciences

Siebel School News
September 11, 2026

Talia Ringer named a U of I System OpEd Project Public Voices Fellow

Office of the Provost

Siebel School News
September 9, 2026

Illinois students can now minor in quantum science this fall

Quantum Zeitgeist

Siebel School In the Media
September 9, 2026

AI pioneer Alum Ali Farhadi transformed computer vision with YOLO

Korea IT Times

Siebel School In the Media
September 8, 2026

News Notes

9/1/2026
Tong Zhang, CS professor at the Siebel School of Computing and Data Science, and Shiqian Ma, applied mathematics and statistics professor at Johns Hopkins University, received a combined $1 million National Science Foundation (NSF) award for their collaborative research project, “MFAI: Mathematical Foundations of Structure-Aware Adaptive Machine Learning Algorithms.”
8/27/2026
Aishwarya Ganesan, CS assistant professor, and Ram Alagappan, CS assistant professor, were awarded an $800,000 National Science Foundation (NSF) grant to work on data-streaming foundations for next-generation applications including AI agents. "Emerging applications such as AI agents interact with continuously evolving data in fundamentally new ways, and this project aims to rethink the foundations of data-streaming systems to support these workloads efficiently, safely, and reliably," Alagappan said.