Dr. Samira Ebrahimi Kahou

Associate Professor

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Biography

Samira Ebrahimi Kahou is an accomplished Associate Professor at the Schulich School of Engineering, University of Calgary, and holds a Canada CIFAR AI Chair at Mila (Quebec AI Institute). With a PhD in Computer Engineering from Polytechnique Montreal, she has a strong research focus on Artificial Intelligence, particularly in Machine Learning, Reinforcement Learning, AI + Health, Natural Language Processing, and Climate Modelling. Dr. Ebrahimi Kahou’s innovative work has significantly contributed to these fields, as evidenced by her numerous awards, including the Outstanding Achievement Award from the University of Calgary in 2025 and the Early Career Research Excellence Award from the Schulich School of Engineering in 2024. She actively engages in teaching, delivering courses on Applied Machine Learning and Data Mining & Machine Learning, preparing the next generation of engineers in her areas of expertise. Her research outputs are widely recognized, with publications and presentations at leading conferences. As an adjunct professor at McGill University, she also collaborates across institutions, enhancing interdisciplinary approaches to AI research. Through her leadership and scholarly activities, she is committed to advancing knowledge and innovation in AI for societal benefit.

Research Interests

Awards

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Outstanding Achievement Award

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Ten-Year Technical Impact Award

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Early Career Research Excellence Award

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Ten-Year Technical Impact Runner-Up

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PROBA-V Super Resolution Challenge

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Thesis Award

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Emotion Recognition Wild Grand Challenge

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Paper Award

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Emotion Recognition Wild Grand Challenge

Courses

Applied Machine Learning Data Mining & Machine Learning

Requirements for University of Calgary

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:97
GRE General
Verbal
Required:150
Quantitative
Required:159
Analytical Writing
Required:5.5
Overall
Required:5.5
Prerequisites
4-year Bachelor's degree in Computer Science or equivalent 3rd or 4th year course in Theory of Computation 3rd or 4th year course in Software Engineering 3rd or 4th year course in Systems (OS, Compilers, Networking) 3rd or 4th year course in Application (AI, Graphics, Databases)
Application Checklist
  • Unofficial Transcripts
  • Curriculum Vitae
  • Statement of Purpose
  • Two Letters of Reference
Specialization Notes

Department of Computer Science Master's program. GRE scores are expected for international students.