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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.

Engineering a friendship: How two students found connection and community at Grainger Engineering

The Grainger College of Engineering

Siebel School News
May 15, 2026

Illinois partners with IBM to expand quantum computing in Chicago

The Daily Illini

Siebel School In the Media
May 15, 2026

Gang Wang on seeking free money advice from AI and uploading financial statements

CNN business

Siebel School In the Media
May 15, 2026

Siebel School Stories: Melissa Aninagyei-Bonsu finds purpose, leadership and community at CS

The Grainger College of Engineering

Siebel School News
May 13, 2026

Jeff Erickson honored with 2026 University Distinguished Teacher-Scholar Awards

The Grainger College of Engineering

Siebel School News
May 8, 2026

Sheldon Jacobson says the impact of the DHS shutdown on the TSA and air travel may persist

Time

Siebel School In the Media
May 7, 2026

Jimeng Sun on generative AI and digital twins accelerating clinical trials

Technology Networks (with audio)

Siebel School In the Media
May 7, 2026

CS student Yaseen Halab creates local events and screen time apps

The Daily Illini

Siebel School In the Media
May 7, 2026

2026 NCSA Fiddler Innovation Fellowship awardee Hajara-Yasmin Isa, finalist Lauren Hyde

NCSA

Siebel School News
May 7, 2026

News Notes

5/22/2026
Two Grainger Engineering faculty, Yuxiong Wang, CS assistant professor, and Joohyung Kim, ECE associate professor, will bring their research projects to the Toyota Research Institute (TRI) URP 3.0, the next five-year phase of its University Research Program. The phase will include 69 projects across 31 universities with 88 TRI researchers and 104 faculty members, making it the largest cohort since the program’s inception. The projects selected cover all areas of TRI’s research, including AI advancement, robotics, driving and material science.
5/21/2026
Yiming Su, CS PhD, was recognized with a Gold Reviewer Award at the International Conference on Machine Learning (ICML). ICML peer reviewers are tasked with carefully reading, assessing and providing critical feedback to authors, as well as providing an appraisal of the papers' strengths. Su, advised by CS associate professor Tianyin Xu, is part of an elite group that makes up the top 25% of the 17,749 reviewers selected for 2026. ICML is the premier gathering of professionals dedicated to the advancement of machine learning in AI.

News In the Media News Notes