February 10 @ 12:00 PM - 1:00 PM Event Series ME Faculty Candidate Seminar ME Faculty Candidate Seminar 2188 Mechanical Engineering Building 1513 University Avenue, Madison, WI, United States Join the Department of Mechanical Engineering for Faculty Candidate Seminars during the Spring 2025 semester. These will take place on Mondays and Wednesdays of each week from 12-1pm in room 2188 ME Building.
February 10 @ 4:00 PM - 5:00 PM MS&E Faculty Search Presentation: Dr. Dylan M. Barber UW-Madison Department of Materials Science and Engineering welcomes Dr. Dylan M. Barber. Their presentation on “AI-driven Computational Predictions for Polymeric Materials” will be on Monday, Feb. 10 in MS&E 265 from 4 p.m. to 5 p.m. Abstract Controlling structure and material properties across length scales could revolutionize fields ranging from energy storage to bioelectronics. In...
February 11 @ 12:00 PM - 1:00 PM Event Series ME Faculty Candidate Seminar ME Faculty Candidate Seminar 2188 Mechanical Engineering Building 1513 University Avenue, Madison, WI, United States Join the Department of Mechanical Engineering for Faculty Candidate Seminars during the Spring 2025 semester. These will take place on Mondays and Wednesdays of each week from 12-1pm in room 2188 ME Building.
February 13 @ 8:00 AM - 5:00 PM ECE Virtual Alumni Town Hall Via Zoom WI ECE Alumni - join us for this one-hour event hosted by ECE Department Chair Susan Hagness. During the Town Hall, we will be exploring the very timely topic of energy systems related to the rapid growth of Artificial Intelligence (AI).
February 13 @ 12:00 PM - 1:00 PM BME Seminar Series: Shailaja Seetharaman, PhD 3210 Mechanical Engineering 1513 University Ave., Madison, WI, United States Vascular Dysfunction in Disease: Engineering Mechanobiology Holds the Solution Shailaja Seetharaman, PhDPostdoctoral ResearcherJames Franck Institute and Department of PhysicsUniversity of Chicago Abstract:Abnormalities in blood vessel and blood flow properties are key drivers of severe cardiovascular and cerebrovascular pathologies. The remarkable ability of the vasculature to sense and respond to mechanical and biochemical signals across multiple...
February 13 @ 1:00 PM - 2:00 PM MS&E Seminar Series: Assistant Professor Samuel Teitelbaum UW-Madison Department of Materials Science and Engineering welcomes Assistant Professor Samuel Teitelbaum. Their seminar on “Uncovering Real-time Structural Transformations with Femtosecond X-rays” will be on Thursday, Feb. 13 in MS&E 265 from 1 p.m. to 2 p.m. Abstract Material transformations (i.e. phase transitions) are foundational processes in technologies and natural phenomena from solid-state memory and...
February 13 @ 4:00 PM - 5:00 PM ME 903 Graduate Seminar: Professor Kyoko Yoshida 3M Auditorium, rm 1106 Mechanical Engineering Building 1513 University Ave, Madison The ME 903: Graduate Student Lecture Series features campus and visiting speakers who present on a variety of research topics in the field of mechanical engineering. Professor Kyoko Yoshida is a professor at the University of Minnesota.
February 17 @ 12:00 PM - 1:00 PM Event Series ME Faculty Candidate Seminar ME Faculty Candidate Seminar 2188 Mechanical Engineering Building 1513 University Avenue, Madison, WI, United States Join the Department of Mechanical Engineering for Faculty Candidate Seminars during the Spring 2025 semester. These will take place on Mondays and Wednesdays of each week from 12-1pm in room 2188 ME Building.
February 17 @ 12:00 PM - 1:00 PM BME Seminar Series: Dhananjay Bhaskar, PhD 1003 (Tong Auditorium) Engineering Centers Building 1550 Engineering Drive, Madison, WI, United States Topic TBA
February 18 @ 11:00 AM - 12:00 PM Foundations of Private Optimization for Modern Machine Learning 2188 Mechanical Engineering Building 1513 University Avenue, Madison, WI, United States How can we develop optimization algorithms for training machine learning models that preserve the privacy of individuals' training data? In this talk, I will present my work addressing this challenge through differential privacy (DP). Differential privacy offers a rigorous, quantifiable standard of privacy that limits potential leakage of training data. I will explore the fundamental... Free