News

Celebrating this fall’s convocation, the University of Waterloo recognized five graduate valedictorians who exemplified academic excellence and community impact. Among them, one Faculty of Engineering graduate stood out for her contributions to human-robot interaction and global youth empowerment.

Andrea Chakma (MASc ’25) was named valedictorian for the Faculty of Engineering after completing her Master of Applied Science in Systems Design Engineering. 

Two students have been recognized nationally for their leadership, service and character as recipients of one of Canada’s most prestigious undergraduate awards.

First-year students Edna Nortey and Aishwarya Tandon were named 2025 Loran Scholars, an honour granted annually to just 36 individuals from thousands of applicants across the country. 

Urban planners, architects and filmmakers could all benefit from new technology developed by a research team led by Waterloo Engineering.

The automated system can generate 3D computer models of buildings or entire cities using only 2D aerial photographs, a much cheaper, faster way than relying on specially trained 3D artists and computer graphics programs.

Artificial intelligence (AI) technology developed at Waterloo Engineering gives baseball scouts a powerful new tool to accurately analyze pitcher performance and biomechanics using low-resolution video.

The system, known as PitcherNet, is the product of a three-year partnership between researchers at the Vision and Image Processing (VIP) Lab and the Baltimore Orioles of Major League Baseball (MLB).

Two professors at Waterloo Engineering were awarded funding today to advance quantum communications, sensing and detection.

Dr. Eihab Abdel-Rahman, from systems design engineering, and Dr. Mustafa Yavuz, from mechanical and mechatronics engineering, were among three projects campus-wide to receive more than $1.3 million from a collaboration with the Natural Sciences and Engineering Research Council of Canada (NSERC) and the United Kingdom Research and Innovation (UKRI) programs.

A Waterloo Engineering team from the Vision and Image Processing (VIP) Lab is working with the Inuit-driven Arctic Eider Society (AES) to use deep learning to detect hazardous ice areas.  

Led by Neil Brubacher (BASc ‘21 and MASc ‘24, systems design engineering), the team partnered with AES to add data about ice conditions to an app used by locals in Nunavut.