Friday, October 11, 2019

New breakthrough in the Department of Systems Design Engineering has been highlighted in several news agencies

A recent discovery made by Professor Parsin Haji Reza and his research team at the PhotoMedicine Labs has found a novel approach with the potential to make major changes to the surgical oncology field.

Wednesday, October 2, 2019

SYDE Professor has been awarded the Engineering Medal for Engineering Excellence by Professional Engineers Ontario

John McPhee, a systems design engineering professor, is the recipient of this year’s Engineering Medal - Engineering Excellence from Professional Engineers Ontario (PEO).

Friday, September 27, 2019

Systems Design Engineering Professor on CTV News

There is no cure for cancer, but treatment could be dramatically improved thanks to an invention out of the University of Waterloo.

Parsin Haji Reza and his team at the university are working to revolutionize cancer detection.

“We discovered that we can use our technology to distinguish between the healthy and cancerous tissue,” said Haji Reza, director of the PhotoMedicine Labs at the university.  

Tuesday, September 24, 2019

Nvidia Deep Learning Blog Features Systems Design Professor's AI that Generates Compact Neural Networks

Monday, September 23, 2019

BME 1A Welcome Event

Thursday, September 19, 2019

SYDE student shared the top prize at a recent hackathon

A second-year Waterloo Engineering student shared the top prize at a recent hackathon focused on the creation of technology to protect privacy.

Lena Nguyen of systems design engineering teamed up with Anne Chung, a second-year computer science student at the University of Waterloo, to develop software that puts browsers on kids mode by disabling web page fields asking for sensitive information such as addresses and credit card numbers.

Thursday, September 19, 2019

Systems Design Engineering Professor and Student Featured in Wired Magazine Article Talking about Data Bias in AI

This week, the denizens of Twitter began posting photos of themselves with an odd array of labels. Some, like “face,” were confusingly benign, while others appeared to verify harder truths: Your humble writer was declared a cipher, a nobody, “a person of no influence.” Fair enough. But many of the labels were more troubling. There were rape suspects and debtors. A person would be labeled not just black, but “negro” and “negroid.”

Monday, September 16, 2019

New imaging technology could ‘revolutionize’ cancer surgery

Cancer treatment could be dramatically improved by an invention at the University of Waterloo to precisely locate the edges of tumors during surgery to remove them.

The new imaging technology uses the way light from lasers interacts with cancerous and healthy tissues to distinguish between them in real-time and with no physical contact, an advancement with the potential to eliminate the need for secondary surgeries to get missed malignant tissue.

Friday, September 13, 2019

Systems Design Engineering Professor and Startup Collaborates with Audi on Designing Autonomous Driving Technology:

A Waterloo startup has partnered with a German automotive giant to demonstrate how its artificial intelligence technology can potentially accelerate the development of the electronic brain behind autonomous vehicles.

Artificial neural networks simulate the human brain's ability to make decisions, to learn and to adapt to the environment. A team of engineers at Audi saw a reduction of more than 90 per cent in the number of hours spent processing and refining data for those networks using technology developed by Waterloo-based DarwinAI.

Tuesday, September 3, 2019

Waterloo researchers unearth gender and age biases in popular visual dataset

Engineering researchers at the University of Waterloo have unearthed inherent gender and age biases buried in a popular image dataset used to train artificial intelligence (AI) systems around the world.

The discovery will help researchers find ways to rebalance the data so it better reflects demographic diversity, ultimately paving the way for more accurate AI models.