Get to know four recently hired faculty members, joining the ������Ƶ of Computer Science throughout 2023 and 2024. Together with those whose arrival was announced in 2022, we extend a warm welcome to the newest members of our departmental community. 

Assistant Professor 
Joins July 1, 2024 

Aviad Levis will join the ������Ƶ of Computer Science in July 2024 as assistant professor. His work focuses on developing computational imaging tools for scientific discovery. After completing his PhD at the Technion in 2020, he joined Caltech as a postdoc working on imaging black holes with the Event Horizon Telescope. His research lies at the intersection of artificial intelligence and physics, working on interdisciplinary inverse problems in diverse fields, from astrophysics to climate. 

Associate Professor 
Joined July 1, 2023 

Kuldeep Meel joined the ������Ƶ of Computer Science in July 2023 as associate professor. Before moving to Toronto, he held NUS Presidential Young Professorship in the School of Computing at the National University of Singapore. His research interests lie at the intersection of formal methods and artificial intelligence. His research program's long-term vision is to advance automated reasoning techniques to enable computing to deal with increasingly uncertain real-world environments. His research program's recent recognition include the 2023 CACM Research Highlight Award, CAV-23 Distinguished Paper Award, DATE-23 Best Paper Award Nomination, 2022 ACM SIGMOD Research Highlight, 2022 ACP Early Career Researcher Award, and IJCAI-22 Early Career Spotlight. 

  

Assistant Professor 
Joined July 1, 2023 

Akshayaram Srinivasan joins the ������Ƶ of Mathematical and Computational Sciences (University of Toronto Mississauga) as assistant professor. Before that, he was a reader at the Tata Institute of Fundamental Research, Mumbai. He received his PhD in Computer Science from the University of California, Berkeley. His research interests lie broadly in the theoretical foundations of Cryptography. His main focus is on constructing secure computation protocols that enable a set of parties to perform computation on their private inputs without leaking any other information. He is a recipient of the Google India Research Award (2022), and his research has been recognized with the best paper award at Eurocrypt 2018. 

Assistant Professor 
Joined August 1, 2023 

Roei Tell joined the ������Ƶ of Computer and Mathematical Sciences (University of Toronto Scarborough) in August 2023 as an assistant professor. His research in theoretical computer science explores the limits of what algorithms can achieve efficiently, as part of a field called computational complexity theory. In recent years he has been studying new methods of simulating randomness for algorithms, and the implications of these methods on theoretical computer science (e.g., on understanding which problems are hard to solve, on designing interactive protocols for proving claims, and on building theoretically secure cryptographic systems). He completed his PhD at the Weizmann Institute of Science, and spent time as a postdoctoral researcher at MIT, at the Institute for Advanced Study and DIMACS, and as a fellow at Simons Institute for the Theory of Computing. 

Geoffrey Hinton will be giving an academic talk on artificial intelligence at Convocation Hall on Oct. 27. (Photo: Polina Teif)

After with his warnings about , will be engaging directly with researchers and scholars at a University of Toronto event. 

A U of T Emeritus in the ������Ƶ of Computer Science who is often referred to as “the godfather of AI,” Hinton will tackle the question during an academic talk at Convocation Hall on Oct. 27. (Tickets to the in-person event are sold out, but a recording will be shared publicly at a later date). 

His lecture will be followed by a Q&A session co-ordinated by , a professor in the ������Ƶ of Computer Science in the Faculty of Arts & Science who is a Canada CIFAR AI Chair and an associate director at U of T’s . 

The session will give Hinton an opportunity to directly engage with researchers and scholars from across the university regarding the revolutionary technology he helped create.  

“AI is re-shaping the way we live, work and interact with each other,” says McIlraith. “Given the current public discourse about AI, it’s particularly important that scholars across disciplines learn from each other and engage in an informed exchange of views regarding the societal implications of this transformative technology.” 

U of T provides an ideal forum for such scholarly discourse, she adds, because of U of T’s , the “breadth and depth” of expertise at the university and the city of Toronto’s position as of AI research and development. 

"The conversation around AI is no longer housed in the computer science lab or within the offices of Big Tech. It needs to be multidisciplinary to advance our collective understanding of the opportunities and the potential risks so we can work to avoid the risks while benefiting from all that AI has to offer.”  

The Schwartz Reisman Institute for Technology and Society and the department of computer science in the Faculty of Arts & Science are co-hosting Hinton’s talk in collaboration with the and the Cosmic Future Initiative at the Faculty of Arts & Science. 

— Original story by Adina Bresge for

University Professor Geoffrey Hinton speaks with 60 Minutes correspondent Scott Pelley about advanced artificial intelligence. (Image courtesy of 60 Minutes)

, often dubbed the “godfather of artificial intelligence,” explained the potential benefits — and risks — of the technology he helped bring into existence on CBS News’s .

A Emeritus in U of T’s ������Ƶ of Computer Science, Hinton told correspondent Scott Pelley about his decision earlier this year to .

The cognitive psychologist and computer scientist, whose research contributions set the stage for the current acceleration of AI development, says he has no regrets because of the technology’s enormous potential benefits. But he warns that humanity is at a “turning point” in determining AI’s trajectory — and that the decisions we make today could have far-reaching consequences for the future.

“I think my main message is there's enormous uncertainty about what's (going to) happen next,” Hinton told the newsmagazine program. “These things do understand. And because they understand, we need to think hard about what's going to happen next. And we just don't know.”