News

Waterloo Engineering researchers have designed smart technology to help industries navigate geopolitical uncertainty, inflation and supply chain issues.

Led by Dr. Luis Ricardez-Sandoval, a professor in the Department of Chemical Engineering, the team has harnessed machine learning (ML) to improve industrial production scheduling. This ability to improve planning helps manufacturers withstand unpredictable market conditions more effectively.

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).

 University of Waterloo researchers have developed an AI-powered app that tracks our caloric and nutrient intake while we eat.

Dr. Yuhao Chen, a research assistant professor in the Department of Systems Design Engineering’s Vision and Image Processing (VIP) Lab, said the new tech is aimed at tackling malnutrition in aging populations to ensure that older people get the food they need to support a healthy and active lifestyle.

A Waterloo Engineering research team is using augmented/virtual reality (AR/VR) to better understand — and maintain — the condition of Canada's critical infrastructure. 

Dr. Chul Min Yeum, a professor in the Department of Civil and Environmental Engineering, and his colleagues have developed a system called the Smart Infrastructure Metaverse that uses AR/VR to allow on-site and off-site inspectors to interact in real-time as they view the real structure and a 3D scanned replica model simultaneously.

An international research team’s data analysis model could help California’s strawberry farmers prepare their harvests for adverse conditions caused by warming temperatures. 

The team included postdoctoral fellow Dr. Poornima Unnikrishnan and professor Dr. Kumaraswamy Ponnambalam from the University of Waterloo's Department of Systems Design Engineering and Dr. Fakhri Karray from the Mohamed bin Zayed University of Artificial Intelligence in Abu Dhabi. Their research presents implications for the availability and cost of produce imported from California to Canada.   

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.