Samira Ebrahimi-Kahou

Canada CIFAR Chair in Artificial Intelligence awarded to a researcher of the ETS

Tuesday, February 9, 2021
samira ebrahimi kahou
Samira Ebrahimi-Kahou.

Professor Samira Ebrahimi-Kahou of the École de technologie supérieure (ÉTS), one of Canada’s most promising researchers in the field of artificial intelligence, now holds a Canada CIFAR Research Chair in Artificial Intelligence. 

Professor Ebrahimi-Kahou’s work under this chair will focus on the learning of multimodal representations that allow reasoning in supervised and reinforcement learning tasks.

On the application side, her research focuses on predicting natural disasters by modeling climate data and on developing personal digital assistants.

All this work will enable Professor Ebrahimi-Kahou to put AI at the service of humans, a value that is very dear to her. “I am delighted and honored to be part of this cohort of brilliant Canadian researchers,” declared the researcher, who recently joined the Department of Software Engineering and IT after a postdoctoral fellowship at McGill University/Mila and a researcher position at Microsoft Research Montreal.

The 29 chairs awarded in 2021 by the Canadian Institute for Advanced Research (CIFAR) aim to attract and retain the brightest and best artificial intelligence (AI) researchers in Canada. Today, with approximately 100 researchers, the holders of these chairs are research pioneers in a wide range of fields, including machine learning for healthcare and responsible AI.

About Samira Ebrahimi-Kahou 

Professor Samira Ebrahimi-Kahou has been a member of the Software and Information Technology Engineering Department at the ÉTS since 2020. Her research activities focus on solving problems at the intersection of computer vision and natural language processing.

She has contributed to the creation of several large-scale data sets including, FigureQA (visual reasoning on mathematical graphs), Something-Something (fine-grained action description), and ReDial (conversational movie recommendations). On the application side, she works with machine learning to respond to disasters, including the modeling of extreme weather events and improving food security. 

Chantal Crevier

Communications Service

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