Dr. Graham Taylor

Professor

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Biography

Graham W. Taylor is a professor at the University of Guelph specializing in deep learning and artificial intelligence. His research spans several topics within these domains, focusing on methodologies such as generative modeling, graph representation learning, and sequential decision-making. He is particularly interested in developing solutions that can effectively learn from labeled data and build human-centered AI systems. His applied projects seek to leverage computer vision techniques to address and mitigate biodiversity loss, contributing to sustainability and ecological preservation efforts.

Research Interests

Deep Learning Generative Modelling Graph Representation Learning Sequential Decision Making Computer Vision

Courses

ENGG*6500: Introduction to Machine Learning UNIV*6080: Computational Thinking in Artificial Intelligence ENGG*3130: Modelling Complex Systems ENGG*4450: Large-Scale Software Architecture Engineering

Requirements for University of Guelph

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:21
Reading
Required:21
Writing
Required:21
Speaking
Required:21
Total
Required:89
Prerequisites
Honours baccalaureate degree in a relevant field or DVM degree Identify a potential faculty advisor
Application Checklist
  • Online application
  • Official transcripts
  • Two academic reference assessments
  • Statement of interest
  • English language proficiency test results (if applicable)
Specialization Notes

Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).