Faculty of Applied Science &amp; Engineering

department of mechanical and industrial engineering

Artificial Intelligence

Cities

Subheadline

“If you optimize for equity, you get a map that is more spread out and less concentrated in the downtown areas"

A team of researchers from the department of civil and mineral engineering in the University of Toronto’s Faculty of Applied Science & Engineering are wielding machine learning to understand where cycling infrastructure should be located in order to benefit the most people.

In a paper published in the Journal of Transport Geography, researchers used novel computing approaches to compare two strategies for expansion of protected bike lanes – using Toronto as a model.

“Right now, some people have really good access to protected biking infrastructure: they can bike to work, to the grocery store or to entertainment venues,” says post-doctoral fellow and lead author Madeleine Bonsma-Fisher, who previously researched interactions between bacteria and viruses before applying her data analysis skills to active transportation. “More lanes could increase the number of destinations they can reach, and previous work shows that will increase the number of cycle trips taken.

“However, many people have little or no access to protected cycling infrastructure at all, limiting their ability to get around. This raises a question: is it better to maximize the number of connected destinations and potential trips overall, or is it more important to focus on maximizing the number of people who can benefit from access to the network?”

To delve into the question, Bonsma-Fisher and co-authors used machine learning and optimization, a challenge that required them to explore new computational approaches.

“This kind of optimization problem is what’s called an ‘NP-hard’ problem, which means that the computing power needed to solve it scales very quickly along with the size of the network,” says Shoshanna Saxe¸ associate professor in the department of civil and mineral engineering and one of Bonsma-Fisher’s two co-supervisors alongside Professor Timothy Chan of the department of mechanical and industrial engineering. “If you used a traditional optimization algorithm on a city the size of Toronto, everything would just crash.”

To get around the problem, PhD student Bo Lin invented a machine learning model capable of considering millions of combinations of over a thousand different infrastructure projects in order to test where the most impactful places are to build new cycling infrastructure.

Using Toronto as a stand-in for any large, automobile-oriented North American city, the team generated maps of future bike lane networks along major streets, optimized according to two broad types of strategies.

The first strategy, dubbed the utilitarian approach, focused on maximizing the number of trips that could be taken using only routes with protected bike lanes in under 30 minutes – without regard for who those trips were taken by.

The second, an equity-based strategy, sought to maximize the number of people who had at least some connection to the network.

“If you optimize for equity, you get a map that is more spread out and less concentrated in the downtown areas,” says Bonsma-Fisher. “You do get more parts of the city that have a minimum of accessibility by bike, but you also get a somewhat smaller overall gain in average accessibility.”

This results in a trade-off, says Saxe. “This trade-off is temporary, assuming we will eventually have a full cycling network across the city, but it is meaningful for how we do things in the meantime and could last a long time given ongoing challenges to building cycling infrastructure.”

Another key finding was that certain routes appeared to be essential no matter what strategy was pursued – for example, protected bike lanes along Bloor Street West.

“Those bike lanes benefit even people who don’t live near them and are a critical trunk to maximizing both the equity and utility of the bike network. Their impact is so consistent across models that it challenges the idea that bike lanes are a local issue, affecting only the people close by,” Saxe says. “Optimized infrastructure repeatedly turns out in our model to serve neighbourhoods quite a distance away.”

The team is already sharing their data with Toronto’s city planners to help inform ongoing decisions about infrastructure investments. Going forward, the researchers hope to apply their analysis to other cities as well.

“No matter what your local issues or what choices you end up making, it’s really important to have a clear understanding of what goals you are aiming for and check if you are meeting them,” says Bonsma-Fisher.

“This kind of analysis can provide an evidence-based, data-driven approach to answering these tough questions.”

��TV receives $52 million to upgrade SciNet supercomputer

Christopher.Sorensen — Tue, 22 Oct 2024 15:54:56 +0000

��TV receives $52 million to upgrade SciNet supercomputer

Christopher.Sorensen Tue, 10/22/2024 - 11:54

Cutline

From left: Charmaine Dean, Timothy Chan, Bryan May, Nolan Quinn, George Ross, Bardish Chagger, Ranil Sonnadara and Eleanor McMahon (supplied image)

Adam Elliott Segal

Topic

SciNet

Artificial Intelligence

Subheadline

The upgraded supercomputer, housed at ��TV and available to researchers across Canada, will boast roughly three times the computing power of its predecessor

The University of Toronto will receive more than $52 million to upgrade one of the fastest supercomputers in Canada – a shared resource housed at ��TV that allows researchers across the country to address key challenges in areas such as health care, drug discovery, sustainable transportation, AI and advanced manufacturing.

In a recent announcement, the Digital Research Alliance of Canada – a non-profit organization funded by the Canadian government – and the Government of Ontario committed to investing more than $95 million into advanced research computing (ARC) in Ontario at host sites at ��TV and the University of Waterloo.

The more than $52 million earmarked for ��TV’s SciNet – which includes matching funds from the province and Compute Ontario – will go toward replacing the Niagara supercomputer with a new computer network with roughly three times the raw computing power, more GPU capacity and storage boosted by an estimated 80 per cent.

“This computational infrastructure is critical for our community and for the Canadian research community at large – from the biomedical sciences to aerospace manufacturing,” said Timothy Chan, ��TV’s associate vice-president and vice-provost, strategic initiatives and a professor in the department of mechanical and industrial engineering in the Faculty of Applied Science & Engineering.

“It supports research in all fields, plus users benefit from the extensive education and training programming offered by SciNet.”

He added that the investment supports Canada’s desire to lead in advanced technologies, and that it comes on the heels of ��TV University Professor Emeritus Geoffrey Hinton being awarded the 2024 Nobel Prize in Physics for laying the foundations for today’s AI boom through his seminal work on deep learning.

“By expanding Canada’s supercomputing capabilities, we ensure that the country continues to excel in science and research while staying competitive on the global stage,” François-Phillipe Champagne, Canada’s minister of innovation, science and industry, said in a statement.

Chan, for his part, said the shared computing infrastructure, which will utilize a more sustainable, state-of-the-art cooling system, is a savvy use of public funding.

“These investments result in cost savings,” he said. “Ontario’s publicly funded ARC ecosystem costs users 80 per cent less than commercial cloud systems.”

He said students and researchers across Canada should be encouraged by the news.

“It's a unique resource,” he said. “If my students are doing computational research, they can use the cloud, which is expensive. Or they can build their own computer to do it, but they’re not going to have the same kind of power, scale or expert support as something like SciNet.

“It plays a big role in being able to speed up research, speed up discovery with whatever they're working on and access more computational memory, more storage and more computational power.”

For example, Chan says students can run an algorithm at much faster speeds and test multiple algorithms at the same time – something that’s not always possible on local machines.

“Equipping the next generation with job-ready skills in high-performance computing, machine learning and AI is critical to industries including manufacturing, automotive, finance, and the life sciences. When we invest in advanced research computing, we help our students get skilled jobs and attract highly skilled workers to Ontario.”

Large-scale adoption of electric vehicles can lead to human health benefits: Study

Christopher.Sorensen — Mon, 21 Oct 2024 14:05:14 +0000

Large-scale adoption of electric vehicles can lead to human health benefits: Study

Christopher.Sorensen Mon, 10/21/2024 - 10:05

Cutline

Researchers from ��TV's Faculty of Applied Science & Engineering used computer models to simulate the impact of large-scale adoption of electric vehicles in the U.S. (photo by: Plexi Images/Glasshouse Images/UCG/Universal Images Group via Getty Images)

Tyler Irving

Topic

Subheadline

"Our simulation shows that the cumulative public health benefits of large-scale EV adoption between now and 2050 could run into the hundreds of billions of dollars"

Large-scale adoption of electric vehicles (EVs) could lead to significant health benefits for populations, according to a new study from the department of civil and mineral engineering in the University of Toronto’s Faculty of Applied Science & Engineering.

Researchers used computer simulations to show that aggressive electrification of the U.S. vehicle fleet, coupled with an ambitious roll-out of renewable electricity generation, could result in health benefits worth between US$84 billion and 188 billion by 2050.

Even scenarios with less aggressive grid decarbonization mostly predicted health benefits running into the tens of billions of dollars.

“When researchers examine the impacts of EVs, they typically focus on climate change in the form of mitigating CO2 emissions,” says Professor Marianne Hatzopoulou, one of the co-authors of the study, which was published in PNAS.

“But CO2 is not the only thing that comes out of the tailpipe of an internal combustion vehicle. They produce many air pollutants that have a significant, quantifiable impact on public health. Furthermore, evidence shows that those impacts are disproportionately felt by populations that are low-income, racialized or marginalized.”

The research team previously used their expertise in life-cycle assessment to build computer models that simulated the impact of large-scale EV adoption in the U.S. market.

Among other things, they showed that while EV adoption will have a positive impact on climate change, it is not sufficient on its own to meet the Paris Agreement targets. They recommended that EV adoption be used in combination with other strategies, such as investments in public transit, active transportation and higher housing density.

In their latest study, the team sought to account for the non-climate benefits of EV adoption. They adapted their models to simulate the production of air pollutants that are common in fossil fuel combustion, such as nitrogen oxides, sulphur oxides and small particles known as PM2.5.

“Modelling these pollutants is very different from modelling CO2, which lasts for decades and ends up well-mixed throughout the atmosphere,” says study co-author Daniel Posen, an associate professor in the department of civil and mineral engineering.

“In contrast, these pollutants, and their associated health impacts, are more localized. It matters not only how much we are emitting, but also where we emit them.”

While EVs do not produce tailpipe emissions, they can still be responsible for air pollution if the power plants that supply them run on fossil fuels. This also has the effect of displacing air pollution from busy highways to the communities that live near those power plants.

Another complication is that neither the air pollution from the power grid nor that from internal combustion vehicles is expected to stay constant over time.

“Today’s gasoline-powered cars produce a lot less pollution than those that were built 20 years ago, many of which are still on the road,” says Jean Schmitt, post-doctoral fellow and lead author of the study.

“So, if we want to fairly compare EVs to internal combustion vehicles, we have to account for the fact that air pollution will still go down as these older vehicles get replaced. We can also see that the power grid is getting greener over time, as more renewable generation gets installed.”

The team, which also included Professor Heather MacLean of the department of civil and mineral engineering and Amir F. N. Abdul-Manan of Saudi Aramco’s Strategic Transport Analysis Team, chose two primary scenarios to simulate to the year 2050. In the first, they assumed that no more EVs will be built, but that older internal combustion vehicles will continue to be replaced with newer, more efficient ones.

In the second scenario, they assumed that by 2035, all new vehicles sold will be electric. The researchers described this as “aggressive,” but it is in line with the stated intentions of many countries. For example, Norway plans to eliminate sales of non-electric vehicles next year, and Canada plans to follow suit by 2035.

For each of these scenarios, they also considered various rates for the transition of the electric grid to low-emitting and renewable energy sources.

Under each set of conditions, the team simulated air pollution levels across the U.S. and used calculations commonly used by epidemiologists, actuaries and policy analysts to correlate pollution levels with statistical estimates of the number of years of life lost, as well as with estimates of economic value.

“Our simulation shows that the cumulative public health benefits of large-scale EV adoption between now and 2050 could run into the hundreds of billions of dollars,” says Posen.

“That’s significant, but another thing we found is that we only get these benefits if the grid continues to get greener. We are already transitioning away from fossil fuel power generation, and it’s likely to continue in the future. But for the sake of argument, we modelled what would happen if we artificially freeze the grid in its current state.

“In that case, we’d actually be better off simply replacing our old internal combustion vehicles with new ones – but again, this is not a very realistic scenario.”

This finding raises the question of whether it’s more important to decarbonize the transportation sector through EV adoption, or to first decarbonize the power generation sector that’s the ultimate source of pollution associated with EVs.

To that, Hatzopoulou notes that vehicles sold today will continue to be used for decades. “If we buy more internal combustion vehicles now, however efficient they may be, we will be locking ourselves into those tailpipe emissions for years to come, and they will spread that pollution everywhere there are roads,” she says. “We still need to decarbonize the power generation system – and we are – but we should not wait until that process is complete to get more EVs on the road.

“We need to start on the path to a healthier future today.”

PhD student aims to improve the robotic tools used by neurosurgeons

Christopher.Sorensen — Fri, 18 Oct 2024 17:14:27 +0000

PhD student aims to improve the robotic tools used by neurosurgeons

Christopher.Sorensen Fri, 10/18/2024 - 13:14

Cutline

Kejah Bascon, a PhD student in the Faculty of Applied Science & Engineering, is one of the 2024 recipients of the Indigenous and Black Engineering and Technology (IBET) Momentum Fellowships (photo by Safa Jinje)

Safa Jinje

Topic

department of mechanical and industrial engineering

Subheadline

“I’ve aspired to be a neurosurgeon since childhood, and since then, my ambitions have expanded”

Kejah Bascon’s path to pursuing a PhD in engineering at the University of Toronto – where she aims to design better neurosurgical tools – had many twists and turns.

Born and raised in Ottawa, she spent much of her primary and secondary education in homeschooling before enrolling in a public high school for her final year to help simplify her transition to university.

“I had wanted to study biomedical engineering for my undergraduate degree, but I worked a lot during high school to support myself – and so I wasn’t able to manage all the prerequisites with my circumstances,” Bascon says.

“I was quite hard on myself, but I knew I would find a way to make it work.”

Bascon ultimately completed her undergraduate degree in cognitive psychology at Carleton University, where she also minored in neuroscience. She then spent three months in medical school abroad before returning to Ottawa to complete her master’s degree in neuroscience.

“I’ve aspired to be a neurosurgeon since childhood, and since then, my ambitions have expanded to include applying engineering to neurosurgical practice to innovate surgical tools and technologies,” she says.

“I realized that my path wasn’t going to be as linear as I thought when I first fell in love with the brain and the responsibility of holding a person’s whole consciousness in one’s hands.”

Bascon is one of the 2024 recipients of the Faculty of Applied Science & Engineering’s Indigenous and Black Engineering and Technology (IBET) Momentum Fellowships, which provide financial support, mentorship, training and networking opportunities to reduce systemic barriers for entry into academia for members of underrepresented groups.

While Bascon is still planning the direction of her PhD research, she aims to make robotic surgical tools more user-friendly for neurosurgeons by employing engineering principles and a human factors approach.

Improving robotic-assisted neurosurgical tools such as the endoscope can help reduce the cognitive load on neurosurgeons and prevent musculoskeletal injuries following repeated long surgical procedures.

Bascon will be working under the supervision of Myrtede Alfred, an assistant professor in the department of mechanical and industrial engineering, to achieve her research goals.

“I never had a Black TA or a Black professor before coming to ��TV,” says Bascon, “and now I get to benefit from mentorship and leadership from a Black woman.

“It has only been a few weeks, but I already feel so much support for my academic journey from Professor Alfred.”

As an IBET fellow, Bascon says she is especially looking forward to taking advantage of all the opportunities to gain professional development, expand her academic and professional network and give back her time as a mentor.

“I’m beyond thankful to receive this support for my PhD journey,” she says. “I hope I can offer an example for others like me, who are from low-income, underrepresented communities, who may have trouble seeing themselves on a university campus.

“I was once in that position too – of not having the right representation. If I can set an example for others, I want to show that this is what an engineer can look like, and this is what an engineer’s background can look like.”

‘One of the great minds of the 21st century’: ��TV celebrates Geoffrey Hinton’s Nobel Prize

rahul.kalvapalle — Thu, 17 Oct 2024 17:24:21 +0000

‘One of the great minds of the 21st century’: ��TV celebrates Geoffrey Hinton’s Nobel Prize

rahul.kalvapalle Thu, 10/17/2024 - 13:24

Cutline

University Professor Emeritus Geoffrey Hinton, who won the 2024 Nobel Prize in Physics, attends a celebration event held at the Schwartz Reisman Innovation Campus (photo by Mac Pattanasuttinont)

Rahul Kalvapalle

Topic

Schwartz Reisman Innovation Campus

Leah Cowen

Wesley Hall

Schwartz Reisman Institute for Technology and Society

Artificial Intelligence

CIFAR

Department of Computer Science

Faculty of Arts & Science

Subheadline

The 2024 co-winner of the Nobel Prize in Physics - known to many as the "godfather of AI" - was honoured at an event attended by a who's who of the Toronto research community

There were standing ovations, peals of laughter and even a few tears as the University of Toronto welcomed Geoffrey Hinton back to campus after he won the 2024 Nobel Prize in Physics.

A University Professor Emeritus of computer science, Hinton traded the “cheap hotel room in California,” where he received the life-changing news, for an emotional reception in the Schwartz Reisman Innovation Campus’s airy event hall.

The Oct. 10 event drew ��TV leaders, supporters, dignitaries and other luminaries. They included Deputy Prime Minister Chrystia Freeland, University Professor Emeritus John Polanyi, who won the Nobel Prize in Chemistry in 1986, and Massey College Principal James Orbinski, who accepted the Nobel Peace Prize on behalf of Doctors Without Borders in 1999.

Several of Hinton’s many collaborators and proteges also attended the event – not to mention students who were simply eager to catch a glimpse of the “godfather of AI.”

Hinton chats with ��TV Scarborough Professor David Fleet and Google Research Scientists Sara Sabour and Daniel Watson (photo by Johnny Guatto)

Though sleep deprived, Hinton regaled the audience with fond recollections of his early years as an AI researcher, snapshots of his trademark dry humour and warm expressions of gratitude for mentors, collaborators and, of course, his many students.

“I’ve been blessed to have brilliant graduate students and post-docs,” Hinton said.

“I had a principle when selecting graduate students: ‘If they’re not smarter than me, what’s the point?’ And I’ve had quite a number of graduate students who were smarter than me.

“They did things I wouldn’t have been able to do, so I’d like to thank them.”

He said two figures in particular played a huge role in the work that led to his Nobel Prize, which he shared with Princeton University’s John J. Hopfield. The first was Terry Sejnowsky, a computational neuroscientist and former student of Hopfield’s, who worked with Hinton on Boltzmann machines – a period Hinton described as “the most happy research time of my life.”

He also praised the contributions of the late David Rumelhart, a psychologist at Stanford University, who worked with him to develop backpropagation algorithms, a key breakthrough.

“[He] should have won the Nobel Prize,” Hinton said. “But unfortunately, Dave got a horrible brain disease and he died quite young.” (The Nobel organization doesn’t award the honour posthumously).

Hinton poses for a picture with Assistant Professor Chris Maddison, who was one of the last graduate students Hinton supervised (photo by Mac Pattanasuttinont)

Chris Maddison joined Hinton’s research group as an undergraduate and was one of the last students he supervised. Now an assistant professor in ��TV’s departments of computer science and statistical sciences in the Faculty of Arts & Science, Maddison lauded Hinton as “a steadfast mentor and supporter who saw strength in me that I didn’t see” and said one of his greatest attributes was his sheer enthusiasm.

“No matter what’s going on, you can find him in the lab on Sundays at 8 p.m. playing with his MATLAB scripts like a child playing with Legos,” Maddison said. “He never lost that child-like sense of wonder that buoyed him and the group.”

��TV President Meric Gertler said, via video message from Indonesia, where he was on university business, that Hinton is “one of the great minds of the 21st century” (photo by Johnny Guatto)

��TV President Meric Gertler, who was in Indonesia on university business when the prize was announced, hailed Hinton in a video message as “one of the great minds of the 21st century” and someone who “literally created new ways of thinking about thinking and learning.”

He noted that Hinton’s AI leadership extends to the pressing question of responsible and safe development of the technology.

“With his Nobel win, he’s now perfectly positioned to amplify this concern on a world stage.” President Gertler said.

Hinton shares a laugh with University Professor Molly Shoichet of the Faculty of Applied Science & Engineering (photo by Johnny Guatto)

The event’s guest list served as a reminder of Hinton’s outsized influence on the research community in Toronto and beyond, drawing key figures from: the Vector Institute, where Hinton is co-founder and chief scientific adviser; the Schwartz Reisman Institute of Technology and Society, where he sits on the advisory board; and CIFAR (Canadian Institute for Advanced Research), where Hinton is an adviser and longtime fellow.

Hinton poses for a photo with Leah Cowen, ��TV’s vice-president, research and innovation, and strategic initiatives (photo by Johnny Guatto)

Leah Cowen, ��TV’s vice-president, research and innovation, and strategic initiatives, reminded the accomplished audience that Hinton’s historic achievement – both the Nobel Prize and the AI revolution he helped spark – was the result of years toiling in an “unpromising backwater” of AI research.

“It is tempting to think that it happened almost overnight, but it didn’t,” Cowen said.

University Professors Emeriti – and fellow Nobel Prize-winners – Geoffrey Hinton and John Polanyi have their photo taken together (photo by Johnny Guatto)

Hinton took time to reflect on periods of personal struggle and tragedy – and thank those who helped him in his hour of need.

When his wife had an incurable form of cancer, he recalled how ��TV President Emeritus David Naylor, a physician, medical researcher and former dean of the Temerty Faculty of Medicine, carried out research on a possible alternative treatment that was being explored – incorporating input from top medical experts – and presented him with a report of his findings.

“He’s a tremendous human being,” Hinton said of Naylor, who was in the audience.

Hinton shares a moment with ��TV President Emeritus David Naylor (photo by Johnny Guatto)

Hinton also recalled how, when his first wife became ill in 1993 – also with cancer – his post-doctoral trainee Peter Dayan, now a director at the Max Planck Institute for Biological Cybernetics, stepped in to advise Hinton’s graduate students, giving him time to care for his ailing spouse.

“At times like this, you remember the people who helped you most when things were very difficult,” Hinton said.

He later pointed out that Dayan went on to supervise one of this year’s winners of the Nobel Prize in Chemistry, Demis Hassabis, joking that this made Dayan “the meat in a Nobel sandwich.”

Deputy Prime Minister Chrystia Freeland said Canada was lucky to have Hinton, who was born in the U.K., and thanked his daughter for sharing her father with the country, with science and the world (photo by Johnny Guatto)

For Minister Freeland, Hinton’s award showcased the value of ideas and of fundamental research. She said Hinton’s Nobel Prize sent waves of pride across Canada, which she said was “lucky as a country” that Hinton arrived on its shores back in 1987.

“Geoff shows that you can be a really brilliant intellectual and also a really great human being who cares about his community and his country,” Freeland said. “I am constantly struck by how Geoff thinks about the bigger implications of his ideas and how Geoff thinks about really wanting to make Canada and the world a better place.”

Hinton chats with Melanie Woodin, dean of the Faculty of Arts & Science, who thanked him for his friendship and mentorship – and his dedication to science and scholarship (photo by Johnny Guatto)

Following the program – which also featured remarks by ��TV Chancellor Wes Hall, Faculty of Arts & Science Dean Melanie Woodin and Christine Szustaczek, ��TV’s vice-president, communications – Hinton mingled with members of the audience, shook hands with students and caught up with former colleagues and trainees.

Clockwise from top left: Christine Szustaczek, Wes Hall, Chris Maddison, Leah Cowen, Geoffrey Hinton and Melanie Woodin (photo by Johnny Guatto)

Brendan Frey, professor in the Faculty of Applied Science & Engineering and CEO of AI-powered therapeutics startup Deep Genomics, said he was one of many who earned his PhD under Hinton’s supervision.

“I think of Geoff as the father of a community that includes myself, other graduate students and all the people who didn’t believe but then came to believe – and he inspired all of us,” said Frey, who shared a hug with his former supervisor following the event.

“I’m really happy for him.”

��TV researcher explores novel biomaterials to improve the treatment of chronic diseases

Christopher.Sorensen — Thu, 03 Oct 2024 15:08:08 +0000

��TV researcher explores novel biomaterials to improve the treatment of chronic diseases

Christopher.Sorensen Thu, 10/03/2024 - 11:08

Cutline

��TV researcher Caitlin Maikawa and her team are hoping to ease the burden on patients by developing more treatments for chronic diseases that can be self-administered in the home (photo by Tim Fraser)

Selah Katona

Topic

Institute of Biomedical Engineering

Subheadline

“It’s our goal to develop technologies, such as a pill, that make disease management easier and more effective so that it easily fits into patient’s lifestyles"

A team of researchers at the University of Toronto is researching how to develop a pill to deliver treatment of chronic diseases that are currently managed by medications administered by injection.

Led by Caitlin Maikawa, the team aims to increase the accessibility of treatment by removing the burden on patients who are required to visit their doctor’s office to receive medication.

“Taking a pill is the patient-preferred method of administration since it gives them autonomy over their treatment and the ability to easily do it themselves at home,” says Maikawa, an assistant professor at the Institute for Biomedical Engineering in the Faculty of Applied Science & Engineering.

“We hope our research will lead to new technologies that will improve the efficacy of current therapeutics and reduce the patient burden associated with managing chronic diseases.” 

Maikawa is one of two ��TV Engineering professors to receive funding from the latest round of the Canadian Foundation for Innovation John R. Evans Leaders Fund (CFI-JELF). The other recipient is Mohamad Moosavi, an assistant professor of chemical engineering and applied chemistry, whose research incorporates artificial intelligence to accelerate the discovery of new materials to combat climate change.

The support will help Maikawa’s lab engineer dynamic polymer biomaterial systems to develop new drug delivery and bio-sensing technologies to treat chronic diseases, including inflammatory bowel disease and diabetes.

Polymers are large molecules composed of repeating structural units that can be designed to interact with disease markers in the body to target therapeutics to disease sites, time the release of therapeutics or even release signalling molecules for disease monitoring.

(photo by Tim Fraser)

Maikawa’s research group focuses on the design and synthesis of dynamic polymer systems by using stimuli-responsive chemistries, also known as affinity-based interactions – a concept where certain molecules respond to external stimuli and interact selectively with a particular substance – and applying these polymer materials to address challenges in treating chronic disease.

“One way of thinking about dynamic polymer systems is that we have a kind of molecular Velcro where these molecular units stick together when we make the material,” says Maikawa. “But in the presence of disease markers in the body, the Velcro pulls apart allowing the material to degrade or in some cases to release the drug.”

Maikawa’s lab aims to collaborate with clinicians to understand how to address impactful challenges with biomaterials. Since chronic diseases are often difficult to manage, her team is looking at the whole picture of chronic disease treatment and its efficacy.

“It’s our goal to develop technologies, such as a pill, that make disease management easier and more effective so that it easily fits into patient’s lifestyles,” she says.

Battery-powered EV chargers – co-developed at ��TV – installed on St. George campus

rahul.kalvapalle — Fri, 20 Sep 2024 14:34:25 +0000

Battery-powered EV chargers – co-developed at ��TV – installed on St. George campus

rahul.kalvapalle Fri, 09/20/2024 - 10:34

Cutline

The Level 3+ battery-powered EV charging stations are available in ��TV's Landmark Garage, located beneath King's College Circle on the St. George campus (photo by Safa Jinje)

Safa Jinje

Topic

department of mechanical and industrial engineering

Facilities and Services

Landmark

Subheadline

The rapid-charging stations were developed by Canadian EV tech company Jule in collaboration with experts at the Faculty of Applied Science & Engineering

The historic core of the University of Toronto’s St. George campus is now home to a pair of next-generation electric vehicle (EV) charging stations that utilize technology co-developed at the university.

The two new stations use direct current (DC)-sourced EV chargers boasting integrated battery energy storage systems – novel technology that minimizes strain on the electrical grid.

Located in the Landmark Garage beneath King’s College Circle, the chargers are rated Level 3+, meaning they can charge EVs in under 30 minutes, and bring the total number of EV charging stations in the garage to 50.

The technology underpinning the new charges was developed by Jule, an energy storage and EV solutions company co-founded by Faculty of Applied Science & Engineering alumnus Carmine Pizzurro, in collaboration with ��TV faculty members.

Jule embarked on its first research collaboration with ��TV shortly after its founding in 2009, teaming up with the Centre for Applied Power Electronics led by Professor Reza Iravani at the Edward S. Rogers Sr. department of electrical and computer engineering.

It also worked closely with the city's electric utility.

“One of our first collaborations was with Toronto Hydro, which led to us being the first company in the world to put lithium-ion batteries on the distribution grid to provide backup power during outages and reduce stress on the grid during peak periods,” says Pizzurro, who earned his bachelor’s and master’s degrees in mechanical engineering at ��TV.

Cristina Amon and Carlos Da Silva (fourth and fifth from left, respectively, in the front row) pose with students and staff in the Thermal Management Systems lab (photo by Aaron Demeter)

Pizzurro went on to install Jule’s first battery-powered fast chargers in northern Canada as part of a collaboration with Natural Resources Canada.

But the company needed to address a longstanding challenge with lithium-ion batteries: they’re temperature-sensitive and must be able to operate reliably in both hot and cold environments if they are to help power a net-zero future.

To tackle this issue, Jule in 2018 expanded its partnership with the Faculty of Applied Science & Engineering to include University Professor Cristina Amon and senior research associate Carlos Da Silva of the Advanced Thermofluids Optimization, Modelling and Simulation (ATOMS) laboratory in the department of mechanical and industrial engineering.

The ATOMS experts have been developing computational models and experimental characterization to optimize Jule’s battery thermal management systems – work that is being carried out in a state-of-the-art battery testing facility that received funding from the Canada Foundation for Innovation and Ontario Research Fund.

“Thermal management is an issue that impacts both aspects of Jule’s EV fast charging technology: the power electronics to enable the charging, as well as their unique integrated battery storage system,” says Da Silva, who is also executive director of the ��TV Electrification Hub. “Thermal management is critical for mitigating battery degradation. It requires regulating the temperature in such a way that you keep the battery within an optimal range that will extend its life span.”

Jule’s fast chargers use energy stored in batteries, rather than drawing it directly from the electrical grid in the manner of traditional fast chargers. That means they don’t cause grid overloading during peak usage times and can be charged during off-peak hours when electricity is less costly; they also don’t require significant investments in electricity upgrades.

“The battery storage system is charged using current from the electrical grid, which is alternating current (AC); and then this larger battery, which uses direct current (DC), charges the smaller battery in the electric vehicle,” says Amon. “It is more efficient to fast-charge from a stationary battery to an EV – DC to DC – than it is to fast-charge an EV from the electrical grid, which requires converting AC to DC power.”

Jule’s Level 3+ charging station can provide up to 200 kilowatts of power output, yet only needs 45 kilowatts of input power. Amon says this rapid charging speed can help alleviate range anxiety among EV users: “Some drivers fear that EV batteries may not have enough energy to reach a desired destination. But if charging time is much closer to the time required to fill up a tank of a gas-powered car, that can reduce this worry.”

L-R: Professor Reza Iravani, Jule co-founder Carmine Pizzurro, ��TV Electrification Hub Executive Director Carlos Da Silva, University Professor Cristina Amon and ��TV Engineering Dean Christopher Yip (photo by Safa Jinje)

The Level 3+ stations are joining 48 Level 2 chargers that are already available for public use at the Landmark Garage.

This increases the campus’s charging capacity to over 25,000 charges per year, which can eliminate over 700 tons of greenhouse gas emissions, according to ��TV’s Sustainability Office.

“Hosting these first-of-their-kind EV chargers right here on campus extends beyond providing a new and exciting sustainability service to our community,” says Ron Saporta, ��TV’s chief operating officer, property services and sustainability. “It represents just one example of how we are supporting the intersection of research, learning and commercialization of sustainable innovations developed by members of our very own ��TV community.”

The charging stations will also serve as a living lab to test future thermal innovations jointly developed by ��TV Engineering researchers and Jule.

“Having these chargers on campus enables us to have a greater capacity to test the system in ways we are limited by doing in a lab setting,” says Da Silva.

��TV engineering students encouraged to consider sustainability when designing future AI systems

Christopher.Sorensen — Mon, 16 Sep 2024 15:10:13 +0000

��TV engineering students encouraged to consider sustainability when designing future AI systems

Christopher.Sorensen Mon, 09/16/2024 - 11:10

Cutline

Professors Hans-Arno Jacobsen, left, and Natalie Enright Jerger of the Faculty of Applied Science & Engineering are part of a team that is training computer system designers to integrate sustainability practices into the development of AI and machine learning systems (photo by Jenny Lee)

Matthew Tierney

Topic

Computer & Electrical Engineering

NSERC

Subheadline

The Sustainable Data Systems for Data Science initiative aims to align Canada’s tech investments with its vision for a carbon-neutral future

The growing global adoption of artificial intelligence technologies, including machine learning, has created a new sustainability challenge: AI systems are energy-intensive – and the more sophisticated they become, the more resources they require.

To help address the issue, a team of experts including the University of Toronto’s Hans-Arno Jacobsen and Natalie Enright Jerger – both professors in the Edward S. Rogers Sr. department of electrical and computer engineering at the Faculty of Applied Science & Engineering – are launching an initiative that aims to align Canada’s tech investments with its vision for a sustainable, carbon-neutral future.

The Sustainable Data Systems for Data Science (SDSDS) project aims to train a new generation of computer and data scientists who can combine comprehensive technical skills with sustainability awareness. The project recently received a $1.6-million Collaborative Research and Training Experience (CREATE) grant from the Natural Science and Engineering Research Council of Canada (NSERC).

“A majority of students are unaware of how sustainability informs responsible development of platforms and systems because, frankly, there just aren’t many courses or learning paths available to them in this area,” says Enright Jerger, who holds the Canada Research Chair in Computer Architecture and is director of the division of engineering science.

“Another crucial component of this project is to equip our students with knowledge transfer strategies so they can seed these ideas in the workforce. Today’s trainees becoming tomorrow’s trainers.”

The SDSDS team propose training future computer systems designers to adopt a green approach when developing data analytics platforms and systems. The approach would apply to all aspects of the life cycle of development and deployment – such as hardware infrastructure, software systems and application domains.

To advance knowledge and dialogue on the issue, SDSDS will look to hold cross-university seminars on sustainability challenges and will offer courses on sustainable data science, along with summer school programs focused on energy-efficient software and hardware platforms.

The researchers also aim to connect students with industry via internships and applied research projects, enabling them to gain exposure to current challenges and facilitate cross-pollination of knowledge between industry and academia.

“The awareness about AI’s environmental impact is growing, but there is an expertise gap on how to address this very real problem – not just after the fact, but at inception. SDSDS aims to bridge this gap and prepare for the future resource demands of AI-driven industries,” says Bettina Kemme, professor of computer science at McGill University and team lead at SDSDS, which also includes Semih Salihoğlu of the University of Waterloo, Oana Balmau of McGill University and Essam Mansour of Concordia University.

“The potential of AI and machine learning systems are seemingly limitless,” says Jacobsen, who is the Jeffrey Skoll Chair in Computer Networks and Innovation. “Yet the true genius lies in building machine learning systems founded on sustainability principles. That’s real innovation.”

Researchers develop new method for delivering RNA and drugs into cells

Christopher.Sorensen — Mon, 16 Sep 2024 15:02:15 +0000

Researchers develop new method for delivering RNA and drugs into cells

Christopher.Sorensen Mon, 09/16/2024 - 11:02

Cutline

PhD candidate Kai Slaughter, left, and University Professor Molly Shoichet are exploring how ionizable drugs can be used to co-formulate small interfering RNA (siRNA) for more effective intracellular delivery (supplied images)

Qin Dai

Topic

Institute of Biomedical Engineering

Princess Margaret Cancer Centre

Temerty Faculty of Medicine

Donnelly Centre for Cellular & Biomolecular Research

University Health Network

Subheadline

"This could be a game-changer for treating complex conditions where targeting multiple pathways is beneficial, such as cancer and viral infections"

Researchers at the University of Toronto and its hospital partners have developed a method for co-delivering therapeutic RNA and potent drugs directly into cells, potentially leading to a more effective treatment of diseases.

The research, published recently in the journal Advanced Materials, explores how ionizable drugs can be used to co-formulate small interfering RNA (siRNA) for more effective intracellular delivery.

The team – including Molly Shoichet, the study’s corresponding author and a University Professor in ��TV’s department of chemical engineering and applied chemistry in the Faculty of Applied Science & Engineering – specifically targeted drug-resistant cells with the delivery of a relevant siRNA. The siRNA was discovered study co-author and collaborator David Cescon, a clinician scientist at the Princess Margaret Cancer Centre, University Health Network, and an associate professor in ��TV’s Temerty Faculty of Medicine.

“We found that our co-formulation method not only potently delivered siRNA to cells but also simultaneously delivered active ionizable drugs,” said research lead author Kai Slaughter, a PhD candidate in Shoichet’s lab.

“This could be a game-changer for treating complex conditions where targeting multiple pathways is beneficial, such as cancer and viral infections.”

siRNA is a powerful tool in medicine, capable of silencing specific genes responsible for disease, but delivering these molecules into cells without degradation remains a significant challenge. While recent innovations in ionizable lipid design have led to efficiency improvements, traditional nanoparticle formulations are limited in the amount of small molecule drugs they can carry.

When therapeutic formulations are absorbed by cells, small molecule drugs and siRNA are often trapped in small compartments called endosomes, preventing them from reaching their target destination and reducing their effectiveness.

The research team discovered that combining siRNA with ionizable drugs – compounds that change their charge based on pH levels – enhances the stability and delivery efficiency of siRNA inside cells, helping both the siRNA and drug escape the endosome and more effectively reach their destination. This novel method utilizes the protective properties of lipids to safeguard siRNA during its journey through the body and ensure the release of RNA and the drug together within the target cells.

“One of the biggest hurdles in siRNA therapy has been getting these molecules to where they need to go without losing their potency,” Shoichet says.

“Our approach using ionizable drugs as carriers marks a significant step forward in overcoming this barrier, while also showing how drugs and RNA can be delivered together in the same nanoparticle formulation.”

3D-printed soil? ��TV startup expands sustainable urban farming footprint in Toronto

Christopher.Sorensen — Wed, 11 Sep 2024 15:07:18 +0000

3D-printed soil? ��TV startup expands sustainable urban farming footprint in Toronto

Christopher.Sorensen Wed, 09/11/2024 - 11:07

Cutline

Leo Hua and Adnan Sharif show off fresh basil that was grown with Lyrata’s sustainable farming system at Toronto’s Casa Loma (photo by Liz Intac)

Topic

Entrepreneurship Hatchery

Innovation & Entrepreneurship

Startups