Workshops
Our conference features a series of insightful workshops led by experts in AI, robotics, and vision. These sessions provide a platform for researchers, industry professionals, and students to explore emerging trends, share knowledge, and engage in hands-on learning. Stay tuned for details on workshop topics, schedules, and speakers.
LLM & Applications Workshop at the Canadian AI Conference
Large Language Models (LLMs) are transforming AI with their powerful natural language processing capabilities. This workshop provides a platform to explore the latest advancements, applications, and challenges in LLMs while fostering collaboration between researchers, practitioners, and students.
Key objectives include:
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Showcasing novel applications in healthcare, personal assistants, information extraction, among others.
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Addressing challenges in fine-tuning, alignment, scalability, and efficient inference.
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Providing hands-on tutorials for students and newcomers.
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Topics of Interest​
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LLMs, Prompt Engineering, Fine-Tuning
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Efficient Architectures, LLM-based Agents, Multi-Modal Models
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Real-Time Inference, AI Safety, Evaluation Techniques
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Keynote Speakers
To be announced soon!
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Organizers
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Najeeb Khan, Ph.D. – Applied Scientist, Amazon
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Farhad Maleki, Ph.D. – Assistant Professor, University of Calgary
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Alireza Morsali, Ph.D. – Senior Data Scientist, Global Relay
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Call for Participation
We invite researchers, practitioners, and students to submit papers (up to 6 pages) on topics such as:
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Novel LLM Applications (personal assistants, healthcare, etc.)
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Prompt Engineering Techniques
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Fine-Tuning & Alignment Strategies
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Efficient Architectures & Optimization
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Evaluation Methods for Practical Use Cases
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Workshop Highlights
Keynote Talks – Presentations by leading experts in LLM research.
Paper Presentations – Showcase of innovative research & applications.
Hands-on Tutorials – Practical sessions covering:
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Advanced Prompting Techniques & RAG
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Alignment & Fine-Tuning Strategies
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LLM Evaluation Methods
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Efficient Inference Techniques
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Important Dates
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Paper Submission Deadline: May 1, 2025 AoE
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Notification of Acceptance: May 15, 2025
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Workshop Date: May 26, 2025
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Contact us at canadian.llm.workshop@gmail.com for any inquiries.
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Thriving in the GenAI Era: Redefining Challenges and Opportunities in Education
Thriving in the GenAI Era: Redefining Challenges and Opportunities in Education workshop, focuses on the evolving role of generative AI in education. This full-day event is designed for educators, researchers, and academic leaders, addressing key topics such as academic integrity, AI literacy, ethical considerations, and innovative teaching practices. Participants will gain insights into addressing biases in AI-driven tools, fostering interdisciplinary approaches, and bridging pedagogy with technology.
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This workshop is hosted by the Werklund School of Education and the Centre for Artificial Intelligence Ethics, Literacy, and Integrity (CAIELI). It is designed for educators, researchers, and industry professionals interested in AI’s integration into education.
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Workshop Highlights
Keynote Presentation: Dr. Phil Newton (Swansea University, UK)
Educator Testimonials: Real-world K-12 and post-secondary experiences with GenAI
Panel Discussion: Opportunities and challenges of GenAI in schools
Case Studies & Best Practices: Collaborative problem-solving on AI integration
Hands-on Workshops: Training on AI tools for teaching and learning
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Organizers
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Dr. Soroush Sabbaghan
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Dr. Sarah Elaine Eaton
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Dr. Barbara Brown
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Dr. Mohammad Keyhani
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Dr. Leeanne Morrow
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Invited Speakers
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Keynote: Dr. Phil Newton (Swansea University, UK)
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K-12 Presenters: Cameron Taylor (Connect Charter School) + additional speakers TBA (I’ll have a speaker by end of March).
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Panelists: Educators and school leaders from Calgary-area school boards
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Important Dates​
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Workshop Date: May 26, 2025
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Workshop Structure (Draft Schedule)
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9:00 AM – 9:30 AM | Registration and Networking Breakfast
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9:30 AM – 10:15 AM | Keynote Presentation – Dr. Phil Newton
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10:15 AM – 11:00 AM | Educator Testimonials – Real-World GenAI Applications
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11:00 AM – 11:15 AM | Break
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11:15 AM – 12:30 PM | Panel Discussion – Opportunities and Challenges of GenAI in Schools
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12:30 PM – 1:30 PM | Lunch and Networking
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1:30 PM – 3:00 PM | Case Studies and Best Practices – Collaborative group work
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3:00 PM – 3:15 PM | Break
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3:15 PM – 4:30 PM | Hands-On Workshops – AI Tools Showcase and Training
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4:30 PM – 5:00 PM | Wrap-Up and Reflections
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