Congratulations to the newly electedFellows of the Canadian Academy of Engineering— Fellows that include our very own CBB members:
This week, the federal government announced $125 million in funding for 156 new or renewed chairs at 36 institutions in Canada.
University of ݮƵ recognizes exceptional achievement and pre-eminence in a particular field of knowledge through the designation 'University Research Chair'.
31 CBB members were identified in a recently made public by Stanford University as the world’s top scientists with a percentile rank of 2% or above.
The article states that these scientists were identified as having published at least 5 papers, and the database also shows their career and single-year impacts.
Congratulations to the CBB members that made the list!
The is an investment tool that was designed to help institutions attract and retain the best researchers. The name of the fund “pays tribute to the outstanding contributions of John R. Evans, the first Chair of the CFI’s Board of Directors.”
The is a program that promotes research excellence in Ontario and supports researchers and their work. As stated on their website, universities, colleges, research hospitals, and on-profit research institutions are all eligible.
The is a six-month competition split into three stages.First,asubmission stage with a video pitch, then the selected pitcheswereinvited toalive Pitch Competition, and lastly, the selected projects will be invited to participate in the Prototype Demo Day.
Dr. Vivek Goelis recognized in Canada and around the worldas a leadingpublic-health researcher,health-services evaluationexpert,andchampionforthe use of research evidence in healthpolicymaking.
He also currently serves on the boards of the Vector Institute, TRIUMF, the Canadian Institute for Health Information, Canada Health Labs, and the Post Promise.
Technology developed by engineering researchers at the University of ݮƵ has been adopted by a major pathology facility in the United States.
The Joint Pathology Center (JPC), which has the world’s largest collection of preserved human tissue samples, will use an artificial intelligence (AI) search engine to index and search its digital archive as part of a modernization effort.
For the first time, a team led by engineers at the University of ݮƵ used laser imaging technology to almost instantly identify cancerous tissue with accuracy comparable to laboratory tests that take up to two weeks.
That means the Photoacoustic Remote Sensing (PARS) imaging system could tell doctors where a tumor ends and healthy tissue begins so they know exactly where to cut.