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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.

Siebel School welcomes biggest class yet

Siebel School of Computing and Data Science

Siebel School News
August 31, 2026

Player One: Winner! Theoretical game of AI attacks paper by Lav Varshney and Huan Zhang places at LLM conference

Siebel School News
August 28, 2026

Sheldon Jacobson says stop treating AI like it’s human

The Hill

Siebel School In the Media
August 25, 2026

Lev Sosani (CS + Econ, '25) builds free app to clean up Chicago's parking ticket woes

WGN

Siebel School In the Media
August 24, 2026

Eric Chitambar and Illinois researchers receive NSF funding to build quantum internet

Illinois Quantum Information Science and Technology Center

Siebel School News
August 24, 2026

Ravishankar K Iyer's study of a surgical robot’s security vulnerability wins DSN Test of Time Award

Electrical & Computer Engineering

Siebel School News
August 19, 2026

Sheldon Jacobson on America’s hidden national security vulnerability

The Hill

Siebel School In the Media
August 19, 2026

20/20 aims to solve AI research fraud thanks to Illinois-based startup co-founded by CS alum Kinjal Chaudhari

The Daily Illini

Siebel School In the Media
August 17, 2026

Illinois innovation detects dialysis access failure at Chicago-based startup co-founded by CS student Satyansh Yelur

Crain's Chicago Business

Siebel School In the Media
August 17, 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.