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Nov 25, 2024 | 
news.engineering.utoronto.ca | Selah Katona |Safa Jinje
ECE professor Deepa Kundur’s research focuses on the cybersecurity of critical infrastructure, which includes vital systems such as energy grids, autonomous vehicles, water systems and health-care networks. Many of these cyber-physical systems are increasingly relying on advanced information and communication technologies to enhance their efficiency.
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Nov 14, 2024 | 
news.engineering.utoronto.ca | Selah Katona |Safa Jinje
ECE professor Deepa Kundur’s research focuses on the cybersecurity of critical infrastructure, which includes vital systems such as energy grids, autonomous vehicles, water systems and health-care networks. Many of these cyber-physical systems are increasingly relying on advanced information and communication technologies to enhance their efficiency.
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Aug 29, 2024 | 
news.engineering.utoronto.ca | Selah Katona |Fahad Pinto
Professor Amr Helmy (ECE) is mapping photonics in new ways. He is harnessing the quantum attributes of photons, the smallest unit of light, to develop an innovative approach to quantum sensing and communication. “What makes our approach unique is how we’re combining both high and low energy photons where traditionally we utilized one option over another,” says Helmy.
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Jun 17, 2024 | 
news.engineering.utoronto.ca | Selah Katona |Safa Jinje
Professor Amy Bilton (MIE) and her research team have advanced to the final stage of Natural Resources Canada’s (NRC) Oil Spill Challenge. The team has been awarded $1.3M from the challenge so far to develop and test their prototype. The research team that wins the final stage will receive an additional $2M in funding to commercialize their technology. More than 4 million barrels of oil are transported through Canada daily.
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Apr 17, 2024 | 
news.engineering.utoronto.ca | Selah Katona |Safa Jinje
As Canada moves towards its 2050 net-zero goal, the transition to renewable energy sources will put a strain on existing energy infrastructure and legacy control systems, decreasing grid reliability and increasing operational costs. In response to these challenges, Professor John Simpson-Porco (ECE) is working to ensure energy grid reliability, with support from the Ontario Early Researcher Award.
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Mar 21, 2024 | 
news.engineering.utoronto.ca | Selah Katona |Safa Jinje
The Nile, one of the world’s longest rivers, provides municipal, industrial and irrigation water and hydropower to millions across Ethiopia, Sudan and Egypt. However, reconciling the various needs of upstream and downstream countries remains a key challenge. In 2011, Ethiopia began construction of the Grand Ethiopian Renaissance Dam (GERD) project upstream, triggering concerns over water availability downstream.
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Mar 18, 2024 | 
educationnewscanada.com | Selah Katona
An academic collaboration between 10 faculty researchers and more than 50 graduate students at the University of Toronto, McMaster University and York University is rethinking urban freight logistics.
The rise of e-commerce and home delivery, although convenient for consumers, has exacerbated challenges in urban freight logistics as the transportation and delivery industry continues to expand and freight emissions outpace those of passenger vehicles.
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Feb 29, 2024 | 
educationnewscanada.com | Selah Katona
By Selah Katona
Assistant Professor Michael Guerzhoy, top left, meets virtually with a team of undergraduate students who are developing a reinforcement learning-based system to help clinicians predict medication outcomes and adjust dosage accordingly (image courtesy of Michael Guerzhoy)
Artificial intelligence, including machine learning systems, could help mental health clinicians optimize treatments for speech disfluency, or interruptions in the regular flow of speech.
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Feb 27, 2024 | 
medicalxpress.com | Selah Katona
Artificial intelligence, including machine learning systems, could help mental health clinicians optimize treatments for speech disfluency, or interruptions in the regular flow of speech.
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Feb 15, 2024 | 
news.engineering.utoronto.ca | Selah Katona |Safa Jinje
Professor Michael Guerzhoy (MIE, EngSci) and a team of 15 undergraduate U of T Engineering students are researching how artificial intelligence and machine-learning can aid clinicians in treating mental health-related speech disfluency. Currently, when treating mental health related symptoms, clinicians often adjust medications based on expensive and sparse observations, says Guerzhoy, making it difficult to identify if a specific drug is working optimally or not.
