WiCSE Past Events Gallery
Mentorship Q&A – Internship and Co-op Preparations
Join Prof Suprakash Datta and Prof Emily Kuang for an engaging mentorship session on Internship and Co-op Preparations, where students can learn about career readiness, application strategies, and the key technical and professional skills needed to succeed in industry internships and co-op roles.
Date & Time: January 26, 2026, 2:00 - 3:00 pm
Location: LAS-3033


Mentorship Q&A – Electrical and Computer Engineering Focus
Join Prof Anirudh Kaushik and Prof Sima Soltanpour for an engaging mentorship session on Electrical and Computer Engineering, where students can ask about courses, career preparation, and key skills needed for success in Electrical and Computer Engineering.
Date & Time: January 21, 2026, 12:00 noon – 1:00 pm
Location: LAS-3033



Bridging the world with words: Multilingual and multicultural natural language processing – An Invited Talk
As part of our ongoing efforts for women and allies in STEM, we are pleased to invite you to an event featuring Dr Lee, Assistant Professor at Ontario Tech University, who will share her inclusive and impactful research, highlighting her journey as a woman navigating and shaping the field. This event is a wonderful opportunity to learn about the evolving landscape of multilingual Natural Language Processing.
Date & Time: November 25, 2025, 1:00pm - 2:00pm
Location: BRG 313
Abstract: Despite the rapid advances in Large Language Models (LLM), research efforts have historically focused disproportionately on high-resource languages, particularly English, leaving over 7,000 living languages underserved. We address the fundamental challenge of bridging the gap of low-resource language (LRL) translation in multilingual language models. Low-resource languages are typically characterized by a scarcity of both unlabeled and labeled data, as well as limited tools and models. This talk explores strategies aimed at bridging the gap of low-resource language (LRL) translation in multilingual models, where LRLs are characterised by a limited scarcity of both unlabeled and labelled data, as well as limited tools and models.





Women in STEM Meet and Mingle
A professional and social event organized by the Women in Computer Science & Engineering (WiCSE) committee, in collaboration with the Women in Science & Engineering (WiSE) student club. The event will feature a faculty and upper-year student panel, interactive Q&A sessions, and fun social activities to strengthen our community.
Date & Time: November 12, 2025, 5:30pm – 7:00pm
Location: BRG eatery



















