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Professor Sepehr Assadi has won the 2025 Presburger Award, a prestigious honour recognizing his exceptional contributions to theoretical computer science. The honour specifically acknowledges his pioneering work on establishing lower bounds for multi-pass streaming algorithms, a long-standing and challenging problem in the field.

Professor Craig Kaplan has received this year’s Faculty of Mathematics Awards for Distinction in Teaching. Up to two awards are conference each year to teachers who have consistently demonstrated outstanding pedagogical skills and a deep commitment to our students’ education.

Renowned AI researcher Professor has won the Best Paper Award at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Established in 2002, AAMAS is the world’s leading conference for research in AI, autonomous agents and multiagent systems. Every year, it brings researchers and practitioners worldwide to discuss the latest developments in agent technology. This year’s conference took place in Detroit, Michigan, from May 19 to May 23, 2025.

PhD graduate (PhD ’24) and his supervisors, Professors Daniel Vogel and Oliver Schneider, have received a Best Paper Honourable Mention Award at the .

Launched by the Association for Computing Machinery (ACM), CHI is the leading conference in human-computer interaction (HCI) research and one of the top-ranked conferences in computer science. This year’s conference occurred in Yokohama, Japan, from April 26th to May 1st, 2025.

Professor Jian Zhao has received an Ontario Early Researcher Award, which will provide $140,000 in funding to support his research on enhancing software development through visual interfaces and generative AI.Ìý

The funding from the Ontario government is matched by an additional $50,000 from the University of À¶Ý®ÊÓÆµ, bringing total funding to $190,000 over five years.

Professor Gautam Kamath has been awarded $140,000 from the Ontario Early Researcher Awards program to further his research on algorithms and machine learning techniques that preserve data privacy.Ìý

The amount from the Ontario government is matched by $50,000 from the University of À¶Ý®ÊÓÆµ, bringing total funding to $190,000.

Professor Freda Shi was featured in Toyota Technological Institute at Chicago's (TTIC), alumni highlight series.

, Ph.D. graduate from TTIC’s class of 2024 (advised by ProfessorsÌýÌýandÌý), joined the Cheriton School of Computer Science at the University of À¶Ý®ÊÓÆµ as a tenure-track Assistant Professor in July 2024. In September 2024 she was named a CIFAR AI Chair and a faculty member at the Vector Institute.

Freda’s research focuses on computational linguistics and natural language processing, aiming to deepen the understanding of both natural language and human language processing. She explores how these insights can enhance the design of more efficient, effective, safe, and trustworthy NLP systems. She is particularly interested in learning language through grounding, computational multilingualism, and related machine learning aspects.