MMAE Poster Competition 2025
All MMAE undergraduate, master’s, and Ph.D. students are invited to participate in a research poster competition hosted by the Department of Mechanical, Materials, and Aerospace Engineering on Friday...
All MMAE undergraduate, master’s, and Ph.D. students are invited to participate in a research poster competition hosted by the Department of Mechanical, Materials, and Aerospace Engineering on Friday...
Join Ryan Nyther and other professional musicians for a jam with aspiring musicians on Thursday, March 27, from 8–11 p.m. at The Bog for a Speakeasy Set! Nyther has performed with Chicago Bebop/avant...
Are you looking for ways to meet new people, practice your communication skills, learn about different cultures, and enjoy free pizza? Join us for our weekly SPEAK: Conversation Group meetings every...
Speaker: Yanxue Jia, post-doctoral researcher, Purdue University Title: Secure Data Collaboration via Cryptography Abstract: Data plays a crucial role in collaboration—for accessing services...
Information session for the Grainger Computing Innovation Prize: Wednesday, March 26, 2025 12:45–1:45 p.m. Hermann Hall Ballroom There will be an opportunity to ask questions, mingle with other...
The Department of Mechanical, Materials, and Aerospace Engineering present the Midwest Mechanics Seminar Series featuring guest speaker Ken Kamrin, professor of mechanical engineering the University...
This workshop is hosted by one of the international student advisers and a designated school official (DSO) from the Office of Global Services. It is specifically designed to guide F-1 international...
Speaker: Thibaut Mastrolia, assistnat professor of industrial engineering and operations research, UC Berkeley Title: Optimal Rebate Design: Incentives, Competition and Efficiency in Auction Markets...
Speaker: Juhi Jang, professor of mathematics, University of Southern California Title: Vacuum Free Boundary Problems in Gas Dynamics Abstract: We will discuss recent progress on the vacuum free...
Speaker: Yue Dai, Ph.D. student, University of Pittsburgh Title: Towards Efficient and Robust Graph Deep Learning Abstract: Inspired by the success of Graph Neural Networks (GNNs), recent graph deep...