Events

Nov
24
Wed
Disruptors & Dilemmas – Net Zero – Not a Zero-Sum Game: Canada’s Opportunities in a Climate Positive Energy Transition @ Online event
Nov 24 @ 5:30 pm – 7:00 pm

Disruptors & Dilemmas

5:30 p.m. – Virtual event opens
5:40 p.m. – Disruptors & Dilemmas panel
6:40 p.m. – Q&A
7:00 p.m. – Event ends

Join us for a special edition of the Faculty of Applied Science & Engineering’s Disruptors & Dilemmas speaker series, featuring alumni and faculty from U of T Engineering, U of T Arts & Science, University of Toronto Mississauga & University of Toronto Scarborough.

Creating a climate-positive future is a grand challenge of our time and one that is especially relevant to Canada as a major energy producer and exporter. Disruptors & Dilemmas asks a multi-disciplinary panel of experts in engineering, management, philosophy and political science whether the transition to Net Zero will be a zero-sum game for Canada or whether there is a better path economically, socially and politically. To join the conversation, register here today.

This free virtual speaker panel will be moderated by Claire Kennedy, Former Chair of University of Toronto’s Governing Council.

Guests will be invited to engage in Q&A with the panelists following the discussion.

Learn about the panelists and register for the event here.

Jan
12
Wed
Skule Lunch & Learn presents Artificial Intelligence in Medicine: Will AI Replace My Clinician? @ Online event
Jan 12 @ 12:00 pm – 1:00 pm

 

U of T Engineering Lunch & Learn Join us this month as Professor Ervin Sejdić (ECE) will discuss the recent advances of artificial intelligence and how it is transforming the healthcare industry.

Artificial intelligence is an exciting field spanning computer science, engineering, mathematics, and statistics. In recent years, it has become a hot topic that promises to revolutionize many aspects of our daily lives ranging from our cars to our health. However, only a few truly understand what artificial intelligence represents, and how it can be helpful in our professional lives.

Professor Sejdić will address a question that we often ask ourselves: Will artificial intelligence replace my clinician? He will also cover some of recent developments dealing with artificial intelligence and dysphagia, a swallowing disorder caused by a variety of neurological conditions (e.g., stroke, cerebral palsy, Parkinson’s disease), head and neck cancer, genetic syndromes, and iatrogenic conditions or trauma. A recently proposed field called computational deglutition is a collaboration between clinicians and the data science community aimed at the development of clinically relevant algorithms that will aid clinicians during the assessment and treatment of swallowing disorders.

View Professor Sejdić’s professional bio and register for this free and exclusive event.

Mar
9
Wed
Skule Lunch & Learn presents BOLD INNOVATIONS: Engineering Research Highlights @ Online event
Mar 9 @ 12:00 pm – 1:00 pm

 

U of T Engineering Lunch & Learn

U of T Engineering alumni, join us for this monthly series.

This special event will showcase some of the innovative and progressive research underway at U of T Engineering.

With professors from different departments sharing their expertise and research, you’ll get a taste of the diversity of our Faculty’s research.

Featured speakers:

Upcycling CO2: Achieving energy storage and addressing persistent emissions with renewable electricity, Professor David Sinton (MIE)

Supporting Student Success: Increasing Access to Inclusive Global Research Experiences, Professor Elham Marzi (ISTEP)

Pi in the Sky: Drone-delivered defibrillators for out-of-hospital cardiac arrest, Professor Timothy Chan (ISTEP)

Read the abstracts and register for this free and exclusive event.

Apr
13
Wed
Skule Lunch & Learn presents: An Experimentalist’s View on Trusting AI and Its BFF (Data) @ Online event
Apr 13 @ 12:00 pm – 1:00 pm

 

U of T Engineering Lunch & Learn

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.

Read the abstracts and register for this free and exclusive event.