ΑΙhub.org
 

IJCAI in Canada: 90-second pitches from the next generation of AI researchers


by
08 August 2025



share this:

Ahead of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), which will take place in Montréal, Canada, from 16 to 22 August 2025, the Local Arrangements Committee has launched a campaign to showcase the next generation of AI researchers in Canada.

Through a series of 90-second videos, we meet students based in Canada and find out a bit about their work. You can watch the videos below:


Imane Chafi, PhD candidate at the Polytechnique Montréal, uses AI models to support dentists in designing dental preparations for dental crowns more efficiently and accurately.


Liliane-Caroline Demers, Student Communication Coordinator for IJCAI 2025 Local Arrangement Committee and a recent master’s graduate from Polytechnique Montréal, researches AI-generated music. Using a neurosymbolic approach that combines machine learning with constraint programming at inference time, she creates music that is both stylistically authentic and structurally coherent.


Sophia Jit, PhD candidate at the University of Toronto and Polytechnique Montréal, translates ethical and social norms into testable requirements to make large language models safer and more trustworthy.


Marta Skreta, PhD candidate at the University of Toronto and Vector Institute (incoming post-doc at the University of Montreal and Mila) applies AI to Chemistry, designing molecules that are both physically accurate and tailored to specific functions.


Vitória Barin Pacela, PhD candidate at the University of Montreal and Mila – Quebec Artificial Intelligence Institute, studies how to disentangle and identify hidden factors in data to make AI models more interpretable and robust.


David Saikali, a graduate of the Polytechnique Montréal, combines machine learning with constraint programming to improve sequence models by enforcing structural rules at inference time—particularly in drug discovery—enabling constraint enforcement without the need for retraining.


Aidan Taha, a pre-university student from Jean-de-Brébeuf College, is driven by a passion for AI safety and works to make advanced AI concepts more accessible to the broader public.


You can find out more about this video series here.



tags: , ,


IJCAI is the non-profit scientific organisation responsible for organising the International Joint Conference on Artificial Intelligence.
IJCAI is the non-profit scientific organisation responsible for organising the International Joint Conference on Artificial Intelligence.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

How AI changes human decision-making

  23 Oct 2026
AI can identify patterns that people miss and bring new information into decision-making. However, this does not automatically lead to better decisions.

Competing in RoboCup@Home and winning the 2026 best paper award: an interview with Raphael Memmesheimer

  22 Oct 2026
Hear more about Raphael's research and his involvement in the RoboCup@Home league.

AI is distorting archaeology and flattening Indigenous Knowledge

While AI can help archaeologists, it can also spread pseudoscientific claims and false histories, stripping Indigenous Knowledge of context, consent and community control.

ACM SIGAI Autonomous Agents Award 2027 open for nominations

  20 Oct 2026
Nominations are solicited for the 2027 ACM SIGAI Autonomous Agents Research Award.

AI is helping ease competition for scarce space on the airwaves

  19 Oct 2026
Every time you make a phone call, stream a video or connect to Wi-Fi, your device is sending and receiving invisible signals through the air.

How AI is helping cities tackle invisible pollution

  16 Oct 2026
Researchers are designing AI-powered virtual cities to help authorities predict street-level pollution and act where it is needed most.

#AIES2026 social media round-up

  15 Oct 2026
Find out what participants got up to at the Conference on Artificial Intelligence, Ethics, and Society.

Credit fairness: lending resources without losing out

and   14 Oct 2026
Studying the allocation of shared resources among agents with time-varying demands.


↑


AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence