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University of Waterloo alumni David J. Cornfield (BASc ’85, LLD ’24) and Linda Archer Cornfield (LLD ’24) visited campus to announce their transformational investment of $10.5 million to the Faculty of Engineering’s Department of Systems Design Engineering. 

The gift advances the department's educational impact, equipping engineers to bridge systems thinking with design practice to create integrated, participatory and human-focused solutions to pressing global challenges.

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 Waterloo professors were elected today to the Royal Society of Canada’s class of 2025, the country’s highest academic honour.

Dr. Norman Zhou and Dr. John McPhee joined 102 new fellows and members recognized nationwide for outstanding scholarly, scientific and artistic achievements. In total, six University of Waterloo researchers received the distinction.

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.