The first Coffee with Chris on Zoom for 2021-2022 will be a conversation between Dean Chris Yip and Engineering Society President Jacqueline Fleisig.
All students are invited to send in questions and/or topics for discussion this form. All submissions are anonymous, and we will do our best to include your suggestion in the discussion. Thank you for your participation!
Please submit your questions and/or topics by Wednesday, November 3.
See you there!
Join us this month as former EngSci Chair, Professor Mark Kortschot (EngSci 8T4), highlights the key principles of 3D printing and addresses the possible benefits and limitations of this family of techniques.
Industrial designers have used 3D printing technology for almost 35 years to build prototypes of their designs, but the field has expanded dramatically over the past ten years. Now, 3D printers are used to produce a wide variety of things, including airplane parts, buildings, custom prosthetics, edible pastries, and more.
In this talk, Professor Kortschot will talk about the range of advanced materials now being used to print load-bearing parts, which has been the focus of his research over the past five years. He will also talk about the home hobbyist market, which has exploded recently due to the expiration of key technology patents.
To illustrate exactly what is involved, Professor Kortschot will present a live demonstration during the Lunch & Learn presentation. He will design a small part in a computer-aided design program on camera, create the printing file, and send it to the desktop printer in his office to show how easy the process is.
U of T Engineering alumni, join us for this monthly series.
Artificial Intelligence (AI) is now a part of the standard physical scientist’s tool kit, and it is regularly used to discover exciting new materials and processes. But AI is famously fickle, susceptible to data set bias and imbalance, subject to information leakage during training, and reliant on humans to evaluate its performance.
Professor Jason Hattrick-Simpers (MSE) discusses best practices for the implementation of AI techniques in the field of materials science, the challenges and successes of his research, and why he believes that robots can help us learn to better trust AI.