Chemistry Colloquium
The Department of Chemistry at Ïã½¶´«Ã½ Institute of Technology will welcome Korey P. Carter, associate professor of chemistry at the University of Iowa, for a Chemistry Colloquium on Tuesday, January...
The Department of Chemistry at Ïã½¶´«Ã½ Institute of Technology will welcome Korey P. Carter, associate professor of chemistry at the University of Iowa, for a Chemistry Colloquium on Tuesday, January...
Interested in studying computer science and working in Chicago’s dynamic tech community? Ïã½¶´«Ã½ will host the second annual Ïã½¶´«Ã½ Computer Science Opportunity Fair on Saturday, December 10...
Speaker: Simon Pun, visiting assistant professor of mathematics, Texas A&M University Title: Numerical Homogenization and Nonlocal Modeling for Transport Abstract: In this talk, we consider a class of...
Stuart School of Business research presentation by: Assistant Professor of Analytics Andrew Kumiega, Deborah Cernauskas, and Steven Josephs
Stuart School of Business research presentation by: Kaveh Aflaki and Clinical Assistant Professor of Operations and Energy Management Ghazale Haddadian
Join the Ed Kaplan Family Institute for Innovation and Tech Entrepreneurship as we celebrate a grand showcase of more than 80 student projects spanning across all colleges and institutes at Ïã½¶´«Ã½...
Join the Department of Food Science and Nutrition for this seminar series event featuring guest speaker Derrick C. Mancini, the owner and manager of Quincy Street Distillery and an adjunct professor...
The Department of Chemical and Biological Engineering welcomes Alex D. Nikolov, research professor in the Department of Chemical and Biological Engineering at Ïã½¶´«Ã½ Institute of Technology, for a...
Speaker: Igor Cialenco, Ïã½¶´«Ã½ Institute of Technology Title: A power variation approach to statistical analysis of discretely sampled semilinear SPDEs Abstract: Motivated by problems from...
Speaker: Daniel Sanz-Alonso, University of Chicago Title: Ensemble Kalman Methods: Overview and New Developments Abstract: Ensemble Kalman methods are a rich family of algorithms for sequential data...