Skip to main content

ECE Discovery Panel: Computing Systems, Clean Energy, & Chip Technology

1413 Engineering Hall - Cheney Room 1415 Engineering Drive, Madison, WI, United States

Undergraduate students! All are welcome to come learn more about these areas of study, coursework choices, and career paths from our knowledgeable faculty. Plus, pizza will be served! Faculty Panelists:...

CBE Seminar Series and Founders’ Day Lecturer: R. (Sarathy) Parthasarathy

1610 Engineering Hall 1415 Engineering Drive, Madison, WI, United States

How can universities and industries work together to bridge the training gap for new graduate engineers who enter the workforce?

I am going to talk about a case study of an industrial research and process development project at our company, where we engineered, built and operated a working medium scale plant.

Nerd Nite: Nuclear Edition

Sett Pub 1308 W. Dayton St., Madison, Wisconsin, United States

Join us during Nuclear Science Week to learn something new related to nuclear science! Featured Presenters Shelly R. Lesher Department Chair and Professor of Physics, Department of Physics and Astronomy,...

HFES Coffee and donuts meeting

3127 Mechanical Engineering Madison

HFES is hosting a coffee and donut social from 9AM to noon in ME 3121! Feel free to drop by for some treats and friendly conversation!

Free

Nuclear Engineering Major Exploration

Mechanical Engineering Building 1513 University Avenue, Madison, WI, United States

Stop by the south lobby of the Mechanical Engineering Building on October 20 to learn more about the nuclear engineering major! Talk to current students about why they love nuclear...

ECE Seminar: Dr. James G. Pipe

2540 Engineering Hall 1415 Engineering Drive, Madison

Magnetic Resonance Imaging (MRI) is a revolutionary medical device impacting 100 million people each year and is a rich field for applications in signal processing and machine learning. This talk will introduce the basics of MRI signal and spatial encoding, discuss a few signal processing advances to facilitate faster and more robust imaging, and present some of the opportunities and challenges for ML integration.