Determined to commercialize the technology that aims to regenerate damaged skin, Singh completed a PhD in 2025 and is now a postdoctoral fellow and co-founder and CEO of VRiT, a startup he incorporated a year ago with help from a $5,000 cheque — his prize for winning third place in the early-stage category of U of T’s Desjardins Startup Prize competition.
Award-winning MIE professor on advancing operation research through exceptional educational experiences

Last month, Professor Timothy Chan (MIE) was one of two professors from across the University of Toronto to receive the JJ Berry Smith Doctoral Supervision Award. The award recognizes outstanding and thoughtful supervision and mentorship of graduate students over a period of at least 15 years.
The award is one of many accolades he has received for his excellence as a mentor. In 2024, he was the recipient of the President’s Teaching Award, the highest teaching honour from the University of Toronto. He was also awarded the 2023 Prize for the Teaching of the Operations Research /Management Science Practice from INFORMS, an international association of academic and industry experts in the data and decision sciences.
MIE writer Kendra Hunter sat down with Chan to talk about his award-winning methods.
How do you approach your supervisory role?
I’ve never really liked the word supervisor. It makes me feel like they are working for me and I prefer a lab environment that is collaborative and collegial. For me, the Applied Optimization Laboratory (AOL) is a group of colleagues and peers. When recruiting students, I look beyond the project and think about how this person will integrate and fit in the lab culture, not just academically, but socially as well. It helps if they laugh at my jokes!
You have to get along as people first. I have to be invested in their future and their success, and they have to be invested in being a lab member and contribute to the group’s success. It’s a partnership and one where we need to be open with each other about what success looks like.
How do you structure the graduate student experience from start to completion?
I approach it with intention. In any given year, I have between 10 and 12 students working towards their MASc or PhD with a diversity of backgrounds. I’ll connect with incoming students a couple of months before they start to encourage them to think about potential research topics and their courses for that first year, even mentioning some papers to read.
Once in the program, I meet with each student individually every couple of weeks and hold weekly lab meetings. This helps me to work closely with the students to help them figure out a concrete path by the end of their first year. I want them to feel confident, not floundering, with their research direction.
It’s also important to me to learn about their goals: do they want to go into academia or industry after graduating? For many students, this is a time when they’re figuring out their way in grad school coupled with them figuring out who they are as a person. I want to help prepare them and collaborate on how to get them on their chosen path.
Many of your former students are now in academic roles. How did you prepare them to achieve their goals?
It’s all about the mindset. A faculty search committee wants to see a colleague and not a student.
In my field, publications in certain top journals are a necessity. So, for students who want to be an academic in my field, I place significant focus on choosing the right research problem with the student and making sure the work is deep and rigorous enough.
Communication is another aspect that I emphasize. In lab meetings, students practice giving talks and presentations so they can learn to discuss their research in a crisp and engaging way. The underlying science is important but how you present it is equally important.
In-depth teaching experience is another way to stand out; many of my students have been course instructors during their graduate studies.
Finally, networking is critical. It is important for me to advocate for my students within the operations research community and beyond. I try to help open doors for them and give them access to my international network.
What are your favourite aspects of teaching and graduate supervision?
Being able to inspire students in my undergraduate and graduate classes and mentor members of my lab to further operation research is what drives me. Seeing students and lab members learn something new, solve real problems and succeed, whether it’s through coursework or their graduate degree, is really rewarding. I love what I do.
Any words of wisdom you’d like to share?
Figure out where your goals and student goals align and try to work towards those together.
And remember, being in grad school is tough; so be nice to your students. I didn’t have the easiest time in grad school and so I try to remember what it was like for me when I’m advising my own students, who frankly are much more sophisticated than I was when I was in their shoes.
– This story was originally published on the University of Toronto’s Faculty of Applied Science and Engineering News Site on July 29, 2026, by Kendra Hunter.

Congratulations to our MIE Faculty who received the following promotions in 2026:
Amy Bilton – Professor
Patrick C. Lee – Professor
Elias Khalil – Associate Professor
Sinisa Colic – Associate Professor, Teaching Stream
Michael Guerzhoy – Associate Professor, Teaching Stream
“We’re not just building technology — we’re working to solve a deeply consequential problem for humanity.”

Sushant Singh (MSE MEng 1T9, MIE PhD 2T6) came to the University of Toronto from New Delhi in 2018 with a passion for 3D printing and a plan to pursue a one-year master’s degree in materials science and engineering. That plan quickly grew more ambitious when he joined a lab working on a handheld “bioprinter” with the potential to transform the way surgeons have treated skin wounds for the past 150 years.
A year later, in March 2026, Singh won the top overall prize, walking away with $40,000 and some welcome validation for the often painstaking work he’s been leading for nearly eight years. Through the contest, Desjardins, a lead U of T Entrepreneurship partner since 2022, has awarded $100,000 annually to recognize and accelerate the university’s most innovative entrepreneurs.
In an interview in his lab, Singh discussed his plans for his latest prize winnings, his goals for the company and his advice for aspiring entrepreneurs.
Congratulations on winning the top prize in the 2026 Desjardins Startup Prize Pitch Competition. Support from Desjardins contributes to U of T’s Defy Gravity campaign, and one of its goals is to empower innovators like you. What does the prize mean to you and VRiT?
Pitch competitions can vary a lot depending on the day, the judges and the other competitors. Anyone can win! So, I’m grateful that we were able to distinguish ourselves. We don’t get a lot of instant validation in this kind of research-heavy product development, so it was a really nice validator and morale boost. This latest prize will help us with our regulatory strategy as we prepare to launch a $3-million pre-seed financing round to support our research and development in the coming years.
Tell me about VRiT and the problem it’s trying to solve.
VRiT, which is the Sanskrit word for sphere and a nod to my roots, is developing a solution for skin wounds by creating a handheld bioprinter for surgeons to use in the operating room. The device will help close wounds faster and with less pain using cell therapeutics — in our case, a stem-cell-based therapy — to regenerate skin.
Currently, when you have a bad skin wound, such as a burn, surgeons usually do an autograft, where they take skin from another part of your body to close the wound. This is extremely painful and results in another wound that has to heal, often with significant scarring. When a 150-year-old technique dominates the market, it signals a need for breakthrough innovation and a new approach.
How did the company get started?
When I came to U of T in 2018, I had an interest in 3D printing and met Professor Axel Guenther (MIE), who’s a global leader in bioprinting and co-founder of CRAFT, the Centre for Research and Applications in Fluidic Technologies. He’s co-founder and chief science officer of the company, and his connections have helped bring people with tremendous experience to our scientific advisory board.
When I started my PhD in 2020, I picked up on the work of former students in the lab with the sole focus of taking this technology out into the world, and I’m continuing that journey now as a postdoc.
What other support have you received from U of T’s entrepreneurship ecosystem?
We’ve learned a lot from our time in several accelerators, including UTEST (University of Toronto Early-Stage Technology), Creative Destruction Lab and H2i (Health Innovation Hub). We’ve been fortunate to be mentored by H2i’s co-founder, Professor Paul Santerre (BME), a serial inventor who’s a tremendous champion of entrepreneurs.
I’ve also been so lucky to work not just with Axel Guenther but also to get advice from other successful U of T founders like Professor Milica Radisic (ChemE, BME), who’s founded two biotech companies. From learning how to write grants to networking and meeting surgeons at nearby hospitals, the U of T ecosystem has been an extremely helpful resource for us.

Why did you choose to come to U of T to do your master’s degree?
I applied to a bunch of programs in materials science engineering and ultimately chose U of T because of its top 25 global ranking. I had never been to Toronto before. Now I really appreciate the city’s multiculturalism and good Indian food.
Do you have any advice for other aspiring entrepreneurs?
Focus on solving problems that you find personally meaningful. That’s what will help you survive those days when things are not going your way. And take the time to prepare and be sure you really want to do it, because in entrepreneurship, you have to be ready to go all in.
For me, it started as an interest in a compelling technology, but that changed after I observed surgeries on patients with severe burns. During one operating room visit, I saw a mother who had flown in to be with her son and was severely burned while preparing food for him. The surgeon had no option but to take skin from another part of her body, creating a second wound, and because of her age, her recovery required a longer hospital stay.
That experience made it clear to me that we’re not just building technology — we’re working to solve a deeply consequential problem for humanity. It’s a challenge that requires perseverance to overcome the many hurdles needed to make this vision a reality.
– This story was originally published on the University of Toronto’s Faculty of Applied Science and Engineering News Site on July 24, 2026, by Claire Neary.

Professor Myrtede Alfred (MIE) and William Osler Health System launched Ontario’s first Human Factors Academic Practice Partnership in 2025. Osler and Alfred share their thoughts on the impact of this partnership a year after implementation.
Read the article from the Ontario Hospital Association here: https://www.oha.com/news/partnering-to-integrate-human-factors-research-in-acute-care
Read the article in Hospital News here: Patient Safety: Enhancing Care with Engineering Solutions – Hospital News
Chirarattananon’s research leverages the power of nature to create tiny robotic systems, micro aerial vehicles and hybrid locomotion

Associate Professor Pakpong Chirarattananon is one of the newest faculty members at the Department of Mechanical & Industrial Engineering (MIE). He brings wide-ranging expertise in bio-inspired robotics, developed through his PhD at Harvard University. His subsequent faculty appointment at City University of Hong Kong had him leading a research group working across aerial, legged and hybrid robotic systems.
Chirarattananon draws inspiration from nature to design robots that fly, hop, crawl or seamlessly combine multiple modes of locomotion. He embraces the challenge of tackling problems of dynamics, power, controland decision-making within tight constraints. Ultimately, his research looks to harness intelligent design and get more out of less — creating smaller, simpler systems that are surprisingly capable.
Kendra Hunter sat down with Chirarattananon to learn more about his research, teaching and being part of the community.
How did your area of research with small robots develop?
It started during my PhD, working on insect-scale robots. What drew me in, and still does, is the challenge of working within such minute areas. When you have almost no mass, power or space to spare, you can’t brute-force your way to a solution. You have to understand the system deeply, and often the best answer is to reduce complexity rather than add it. Simplicity wins when designing bio-inspired robots.
Did your undergraduate studies inspire you to follow this research path?
Nature has always fascinated and inspired me. This led me to study natural sciences at the University of Cambridge with a focus on physics. Later, I did an MPhil in computational biology. My path to engineering was more on the fundamental side rather than traditional, and really shaped how I approach problems and research solutions.
When I design a robot model, I capture the underlying physics first, because that gives you a clear picture of the whole system. You can’t really improve one part in isolation. The mechanism, the dynamics, and the algorithm are all interconnected, and the end performance emerges from all of them together.
What brought you to MIE?
U of T is an internationally recognized university attracting people worldwide. I saw an opportunity to connect my fundamental research to real-world impact with faculty who have been welcoming and collaborative. The research and teaching opportunities are endless, and MIE truly supports an environment to work across disciplines and borders.
What MIE undergraduate courses are you teaching?
My main course is MIE301: Kinematics and Dynamics of Machines, a core course for mechanical engineering students covering the fundamentals of mechanisms. Interestingly, I never took this course when I was a student, but I have been using and practicing these concepts throughout my research career. This gives me a different perspective and approach to teaching: I can speak to how the influence of classical approaches show up in modern robotic systems, and also demonstrate how traditional curriculum is supporting the advances with where the field is going.
If the MIE community could learn one thing about you it would be…
The thing I most want students and colleagues to know is that I care a lot about the craft of research — not just publishing eye-catching results, but building things that actually work in the real world and understanding why they work.
Being part of MIE means I’m surrounded by expertise across so many areas. I’m here to contribute, but also genuinely to learn. My door is always open, so don’t hesitate to reach out. I’m just as curious about what you’reworking on as I hope you are about us!
How have you enjoyed Toronto so far?
I’m a very active, outdoor person and an avid trail runner. I’ve been exploring the trails and green spaces around the GTA and grateful for how much nature is accessible from the city. On the cycling side, I commute by bike and look to incorporate longer rides.
Student-designed chatbot pulls directly from course material and can be set up by a professor within an hour

A team of U of T Engineering undergraduate students has created an artificial intelligence (AI) tool that makes official course material accessible through a chatbot-style interface, offering a new paradigm in machine-assisted learning.
The large language model (LLM) — affectionately named Alan after mathematician and computer science pioneer Alan Turing — was originally developed as a fourth-year capstone project and is already being piloted in several undergraduate courses.
The idea was developed by Ethan Hugh, Abhishek Madan, Yassine Berrachid and Vaibhav Seshadri (all ECE 2T5). Hugh and Madan drew on their time as teaching assistants, witnessing how students struggled when learning new concepts or studying, while Berrachid and Seshadri brought in professional perspectives from their internships, where they had explored practical applications of emerging AI tools.
“We wanted to better the learning experience for students without designing something that would just spit out an answer,” says Hugh.
“We wanted something that could act like a helper. For example, let’s say a student is having difficulty understanding a topic; having the course material explained or summarised in a different way was what we wanted to provide.”
“Many of our ideas were things we ourselves would have wanted access to as students.”
Building on these shared ideas, the team began exploring technical approaches together. Berrachid and Seshadri had been dabbling with different applications for retrieval-augmented generation, which helped shape the technical direction of the project.
The creation of Alan became the team’s entry into ECE’s fourth-year capstone course. Throughout the project, they were supervised by Professor Salma Emara (ECE), who continued to develop the project even after the course was completed.
In January 2025, Alan was piloted in APS 105 Computer Fundamentals, a first-year course with around 450 students. At present, the tool has been used in a dozen additional courses with plans for more in the fall of 2026.
“It’s taken off in ways I could not have predicted when the team first approached me,” says Emara.
“In APS 105, for example, we observed clear peaks in usage before deadlines and exams, highlighting the demand for immediate academic support during high-stress periods.”
Alan uses a retrieval-based approach to pull from course content — such as that posted on Quercus, U of T’s online teaching and learning environment — and generate responses.
Because Alan draws directly from course materials, it uses the same terminology and notation as the course instructors. Keeping things consistent has helped reduce student confusion and made it easier to connect answers back to lectures and assignments.
When setting up a course in Alan, instructors can choose from three guardrail modes. They can configure Alan to answer only conceptual and course logistics questions, to provide hints or guidance for analytical or coding questions, or to offer structured, step-by-step solutions to any course-related question.
Unlike existing LLMs, Alan only answers questions within the scope of the course it’s been set up for. It’s also been instructed to say “I don’t know” so as not to mislead users.
Users have access to a like and dislike feature when they get an answer, which has helped provide the team with feedback to inform the tool’s development.
The team is clear that Alan is not there to take on the work of a teaching assistant or professor, but that it instead provides knowledge when teaching teams aren’t readily available.
“Whether we like it or not, students are using AI, but what we don’t want are students to cognitively offload onto AI just to get a final answer,” says Professor Fatemeh Jazinizadeh (MIE), who joined the project shortly after Alan was first deployed.
“We want them to use AI to learn better, more efficiently and to be able to access help 24/7. Neither professors nor TAs are around after midnight to answer student questions, and interestingly, that’s when we know a lot of students are using Alan.”
Jazinizadeh adds that Alan is also making learning more accessible for students who, for a variety of reasons, may not be as comfortable going to office hours for help.

When the capstone team was about to graduate after Alan’s first semester of use, Emara and Jazinizadeh hired Vir Patel, Ada Selcuk and Warrick Tsui (all Year 3 CompE) as research assistants to continue to work on Alan and expand its capabilities.
The research assistants have since introduced multimodal functionality, enabled image-based queries and retrieval of course images, integrated course discussion boards into the knowledge base and migrated the platform to one that requires a U of T login to make Alan more secure. With their work, professors can now set up their course in Alan in under an hour.
Other guardrails have also been put into place over the past year.
“We use prompting to ensure that Alan really stays within the context of the course,” says Selcuk.
“For example, if a student comes to Alan for mental health support, Alan is trained to only provide them with the list of resources from their syllabus. We try to support the students in the best way that we can through these inhibitors.”
Working on Alan has led to new academic and professional opportunities. The capstone team recently published a Special Interest Group on Computer Science Education 2026 poster summarizing early observations of Alan, and both Hugh and Patel credit their research work with helping them land a full-time job and PEY Co-op position respectively.
The project is currently supported through faculty funding, enabling continued development and expansion. The team is also growing, with two new interns joining this summer to support ongoing work on the platform. Alan is continuing to expand across U of T Engineering and the team hopes it will be adopted by other departments and faculties across the University.
Emara says that while commercializing the platform is something they’re thinking about, they have many considerations to address first.
“Ensuring we continue to protect the privacy and security of both students and the instructors’ intellectual property is first priority,” says Emara.
“We wanted to start by proofing the concept, doing market research and making sure Alan is really needed. We now know the need is there and the next step is to try to grow it.”
“At the end of the day, our main goal has always been to help as many students as possible and that’s what we will keep striving towards,” says Madan.
– This story was originally published on the University of Toronto’s Faculty of Applied Science and Engineering News Site on July 16, 2026, by Samantha Younan.
Graduate student Meagan Flus (MIE PhD 2T6) used 24-hour observation to analyze conflict on design teams — and how to navigate it

During her PhD thesis, Meagan Flus (MIE PhD 2T6) often found herself in a noisy lecture theatre at 3:00 AM, wielding a video camera and a notebook.
“I joined 24-hour hackathon events in Toronto and Waterloo with a team of research assistants for data collection,” she says.
“We would stay awake overnight with hackathon teams to collect audio and video recordings, along with observation notes. Our unique approach to collecting rich, in-situ data is something I’m particularly proud of.”
Flus is a recent graduate of the Ready Lab, headed up by Professor Alison Olechowski (MIE). Using an interdisciplinary approach, the team studies how engineering design teams can collaborate more efficiently and effectively.
Over the course of her PhD, Flus and her research projects earned awards at the national and international levels. She is now in the process of relocating to Glasgow, Scotland for a postdoctoral position with the University of Strathclyde.
Flus completed her undergraduate degree in Knowledge Integration at the University of Waterloo. But she was always interested in graduate studies, and was encouraged in this path by her project advisor and mentor, Professor Ada Hurst.
“Excellent mentors provided, and still provide me with great insight and inspiration,” says Flus. “They helped me realize the importance of surrounding oneself with good mentors and being a good mentor for others.”
One piece of advice she received was to engage with organizations aligned with her research goals, such as the Canadian Design Workshop (CDW). Convened every two years, CDW brings together design educators and researchers from across Canada to advance engineering design education.
It was during one of these meetings that Flus first met Olechowski. Flus joined her team as a PhD student in 2021.
“I have always considered myself a collaborator and interested in how people work together,” says Flus.
“I would say that has been the overarching theme of my research: helping people do engineering design effectively.”
Flus’ strategy of collecting real-time recordings of design communication during team collaboration was highly novel and opened the door to multiple new research directions. Analysis of this data could help design communities better understand team dynamics, inform decision-making and improve engineering design processes for both hardware and software projects.
In 2025 Flus was the recipient of the Design Theory and Methodology Best Paper Award at the International Design Engineering Technical Conferences. Later that same year, she was awarded the Volunteering Scholarship Award from the Design Society for her participation at the International Conference on Engineering Design, held in summer 2025.

Also In 2025, Flus received the Engineering Education Student Award from the Canadian Engineering Education Association (CEEA-ACÉG). The award recognizes a commitment to innovation, change and improvement in engineering education.
“As part of CEEA-ACÉG, I have worked with folks so passionate about engineering education,” says Flus.
“It deepened my appreciation for engineering education as a space of innovation, equity, and transformation. It also reaffirmed my commitment to ensuring students have access to diverse, empowering learning experiences that prepare them to be not just engineers, but changemakers.”
Her postdoctoral position will be with the University of Strathclyde’s Department of Design Manufacturing and Engineering Management, where she will focus on a project known as SEISMIC SHIFT. (SEISMIC SHIFT stands for: Systems Engineering Innovation Hubs for Multiple Long-Term Conditions: Systemic Health Innovation for Transformation)
“The project aims to improve care for patients living with multiple long-term health conditions,” says Flus.
“We will take a systems-based redesign focus to prioritize whole patient care and work closely with a team of researchers, designers, and practitioners from the National Health Service (NHS). I am very excited about this opportunity and to have the chance to conduct applied research that will impact many lives.”
– This story was originally published on the University of Toronto’s Faculty of Applied Science and Engineering News Site on July 7, 2026, by Kendra Hunter.
MIE graduate student James Ropotar is exploring ways to improve communication, workforce development and community engagement in emerging energy projects

For James Ropotar (MIE MASc student), strong communications skills are essential to successful engineering practice — especially when it comes to projects carried out in partnership with Indigenous communities.
Ropotar, who has Mohawk ancestry, grew up in Kelowna, B.C. and completed his undergraduate studies in manufacturing engineering at the University of British Columbia. Today, he’s an MASc student in the Cognitive Engineering Laboratory, directed by Professor Greg Jamieson (MIE).
“When I was in my undergrad, what I was really looking for is to get the widest breadth of education possible,” says Ropotar.
“Communications is what I saw as my weak point. I minored in it to enhance that skill set so I could better talk about ideas. That, in turn, really strengthened me as an engineer.”
Ropotar, Jamieson and their collaborators are exploring how Indigenous perspectives can be integrated into the operating documents for small modular reactors (SMRs), an emerging paradigm in the nuclear energy space.
Unlike traditional nuclear plants, which are custom-designed and take decades to build and commission, SMRs are smaller and designed around the idea of standardized, repeatable deployment. Because of this, they are often seen as a potential solution to the unique energy needs of remote communities, including many Indigenous ones.
One challenge with SMRs is the communication gaps that emerge between Indigenous communities and SMR operators. These gaps relate to the conventional Western approaches often used to manage such complex systems. Ropotar says his research explores how language and communication can bridge those differences to ensure the technology is understood and benefits the local needs of the population.
“For a long time, I’ve felt that there’s a massive gap in the way we talk about and explain operations, especially when they come to Indigenous communities,” says Ropotar.
“We can bridge this disconnect with more transparent communication.”
Ropotar says he was partly inspired to pursue this project after hearing about the experiences of friends who are members of other nations and reserves.
“When a project comes on to a nation, the project proponents might have good intentions and promise a lot of work, but there’s a huge language gap and they don’t provide the adequate training, which leads to a perceived lack of qualifications,” says Ropotar.
“So we have to say, hey, the way we describe systems and provide training is vital because we want to use local workers. We want to benefit the community and not have to import workers to operate the local infrastructure.”
This past year, Ropotar has been researching operations within nuclear plants and speaking with Indigenous operators who have experience working in the nuclear sector.
Through these conversations, he has sought to identify shortcomings in how reactors and their operating cycles are described and communicated.
“It comes down to a lot of misunderstanding about nuclear and even about what engineering is,” says Ropotar.
“So we’re trying to develop new ways of talking about SMRs and work. We need to be inserting the language of a local community or putting concepts into terms that can be understood by a broader variety of people.”
With some of the groundwork of his research complete, Ropotar is spending this next phase interviewing different communities and conducting a narrative analysis of how they view work and operations within the nuclear sector.
That analysis will inform the development of new training materials and, ultimately, a complete Indigenized concept of operations for future SMR plants — one that rephrases operational concepts within a community’s own understanding of systems and values.
“Technical documentation carries embedded assumptions about hierarchy, relationships and whose values a system is built to serve,” says Ropotar.
“For example, we sometimes describe automation as a master/slave system. That kind of terminology doesn’t match the communities a system is meant to benefit.”
Ropotar is incorporating the seven generations principle into his work, honouring the Indigenous philosophy that the decisions we make today should result in a sustainable world seven generations into the future.
“We want to think about creating a better world and continuing the cyclical idea of making improvements, not purely extracting but creating something better for future generations,” he says.
“I think successful communication looks like a clean, constructive two-way dialogue between any nation that wants to develop this power infrastructure and the agency trying to bring the power infrastructure online. That dialogue considers both the community values and needs, as well as things like operations and worker training.”
One of the ways Ropotar has made contacts with Indigenous people in the nuclear sector is through his work with the Advancing Indigenous Science and Engineering Society (AISES). He is currently serving as president of the U of T chapter of AISES.
“We just got a new office space in the Myhal Centre, so we’re hoping to use this to launch our recruitment and growth as a chapter,” says Ropotar.
“Our goal is to continue to boost our numbers so we can start to build that continuous community of Indigenous STEM students at U of T.”
Beyond his own research and work with AISES, Ropotar says building Indigenous representation means recognizing the continuing presence and perspectives of Indigenous communities.
“Thinking about the rich Indigenous history we have in Canada also means reflecting on and remembering that it’s not just history. It’s ongoing. We’re still here.”
“We need to be continuously talking about First Nations, about culture, about the way that the communities have grown, the history that shapes them and about the land that we’re on, and how we’re really taking care of it.”
Jash Rana (MIE MASc 2T6) applies his knowledge of computational and mathematical simulations to accelerate the adoption of sustainable manufacturing methods such as cold spray deposition

For Jash Rana (MIE MASc 2T6), a master’s degree was more than a chance to improve his knowledge and skills — it was also a pathway to his new full-time job at Tesla.
“I wanted to ensure my graduate studies didn’t remain purely academic,” says Rana.
“Tesla is addressing hard engineering challenges in EVs and robotics. I believe it’s important to apply what I have learned in class and in my research studies to the real world and Tesla gave me that opportunity.”
Rana completed his undergraduate degree in aerospace engineering at Toronto Metropolitan University, where he found himself drawn to the computational and simulation side of solving engineering problems. For his graduate studies, Rana joined U of T Engineering, co-supervised by Professor Ali Dolatabadi (MIE) and Professor Chandra Veer Singh (MSE).
“The collaborative aspect between these labs really drew me in,” says Rana.
“Co-supervision allowed me to be part of two different research groups and bridge my degree with a combination of computational methods and applied machine learning.”
His work focused on using finite element method (FEM) modelling, a type of computer simulation, to better understand physical processes such as cold spray deposition. This type of analysis helps predict how materials behave during impact and can be used to optimize process parameters to make stronger and more reliable coatings.
As part of both research groups, Rana found it valuable to interact with students from the labs and share knowledge from different perspectives.
“If I was stuck or needed a fresh perspective, my lab mates were great resources for help or ideas,” says Rana.
“Working with them, I was able to learn something new every week, and that constant sharing of knowledge kept my research exciting and consistently helped me find new ways to improve my own work.”
It was midway through his studies when Rana learned of an internship opportunity with Tesla through a friend who had interned there. Both of his supervisors agreed that the role was a good fit for Rana and his research pursuits and career development.
For four months, Rana worked in Palo Alto, California as a mechanical design engineer intern, where he helped optimize connector seal designs for the Cybertruck.
His involvement in the design went from initial concept all the way to prototyping — using ANSYS Explicit Dynamics, a type of simulation software — and custom multi-objective optimization. Rana’s hands-on work at Tesla mirrored his thesis and gave new insights into his research direction.
Returning to Toronto, Rana continued his research with a new perspective. After defending his thesis, Rana interviewed at Tesla and accepted a full-time position as a mechanical design engineer for the Optimus humanoid robot program.
His work is on Optimus Test Systems, which includes simulation, mechatronics, and bringing systems from prototype to production.
“I’ll be designing characterization and test equipment for Optimus hardware components, which lets me build directly on everything I developed during my grad studies and internship,” says Rana.
“Long-term, I want to stay in an environment that constantly challenges me and allows me to keep learning something new.”
– This story was originally published on the University of Toronto’s Faculty of Applied Science and Engineering News Site on June 23, 2026 by Kendra Hunter.
U of T Engineering undergraduates partnered with Isla Urbana, a local NGO, to find a sustainable alternative to the waterproofing chemical product currently in use

Research from a multidisciplinary team of U of T Engineering students suggests that nopal mucilage — a material harvested from a species of cactus — could be used as a waterproofing agent for rainwater harvesting tanks.
The discovery points the way toward a more sustainable, low-cost and locally-available solution than the chemical-based coatings currently in use.
The project was part of APS 490Y Multi-disciplinary Capstone Design, a full-year course for fourth-year students looking to step outside their core discipline. It was proposed by partner organization Isla Urbana, a Mexico-based organization dedicated to eradicating water scarcity and providing clean water access to communities through sustainable rainwater harvesting.
“I was looking for a capstone that had both an environmental and social impact focus,” says Lily VanderWoude (Year 4 MechE).
“This one really stood out to me as something that I wanted to work on, in part because it was multidisciplinary.”
The capstone team consisted of Aymun Qayume (Year 4 ChemE), Yusra Chowdhury, Kareem Madanat and VanderWoude (all Year 4 MechE), along with their supervisor Professor Bradley Saville (ChemE).
Isla Urbana has long held experience in designing rainwater capture systems that can be implemented and maintained by community members using local resources. Since 2009, the organization has installed more than 40,000 diverse rainwater systems across Mexico.
One challenge the organization faces is that these rainwater harvesting tanks currently use a chemical agent to waterproof the inside of the basins. This agent is produced outside of Mexico, and is expensive and difficult to transport to rural and indigenous communities within the country.
To find a more local and sustainable solution, Isla Urbana selected the nopal cactus plant — also known as a prickly pear — for the team to test. Research already exists on the use of nopal as a reinforcer in building infrastructure. Furthermore, its wide availability in Mexico and its use in everyday life makes it easily accessible.
“They really wanted something that you could find in the backyards of local communities so that they could make the mixture themselves,” says Qayume.
“The goal is really to make these communities self-sufficient.”

As nopal can be incorporated into both the concrete mixture itself and also as a coating once the concrete has hardened, the team tested multiple formulations with varying ratios of cactus. They evaluated these formulations by curing small concrete blocks to serve as samples and running waterproofing assessment tests on each one, such as taking measurements of water absorption and permeability, along with physical characteristics such as porosity.
At one point, the volume of samples became a challenge. VanderWoude and Madanat joke that the blocks began to crowd them out of their own homes, with each student having to find room for 40 concrete blocks.
In addition to testing for waterproofing viability, they also had to be sure the nopal was not impacting the quality of the stored rainwater.
“Our main concern was to make sure that the nopal we’d be putting inside the water tanks wouldn’t affect the water’s drinkability,” says Qayume.
“Because nopal can eventually degrade, it could serve as a food source for bacteria or something potentially harmful into the water.”
The team addressed this concern by testing for microbial activity and other drinking water quality characteristics.
Their water quality testing narrowed down their formulations significantly, but in the end, three options still passed the assessments.
The study concluded that nopal is a credible candidate for further investigation as a waterproofing agent for ferrocement tanks, with a nopal mucilage-based coating being the most promising formulation, even outperforming the chemical product currently in use.
Based upon the results of the project, Isla Urbana is now planning to conduct field tests with the coating formulation.
“In Mexico, the nopal is an iconic plant found throughout the country, acting as a source of food, medicine and now hopefully we can confirm that it is a reliable raw material for constructing water storage tanks,” says Jesus Sotomayor, director of Isla Urbana’s non-profit organization, called Lluvia para Todos (Rain for all).
“If the field research comes back positive, it could mean an opportunity for some communities to start their own businesses producing the nopal as a sealant for use in various constructions. The results of this research strengthen the importance of integrating local resources and community knowledge into construction and other types of processes.”
Throughout the project, the student team had to get creative about supplies. They bought their cactus samples from a Mexican grocery store in Toronto and the chemical agent had to be flown in from Mexico.
They also had to work with limited equipment.
“One of the main constraints for this project was no fancy equipment, like we couldn’t even use a burner,” says Qayume.
“We had to work from the mindset that whatever we did had to be replicated in a resource-limited environment. That made us adaptable and it will hopefully help Isla Urbana implement our research.”
The team is quick to credit the many different departments and graduate students who helped them complete their research.
“There’s a lot of teamwork involved in a multidisciplinary capstone,” says Saville.
“Not just the capstone team but also the many PhD students in various departments and institutes who were integral in supporting this project.”
“It’s a highlight to be able to demonstrate our bright engineering students to the global community and it’s reflective of the impact we can and do have as a faculty.”
– This story was originally published on the University of Toronto’s Faculty of Applied Science and Engineering News Site on June 12, 2026, by Samantha Younan.