Dr. Stefan Kremer

Professor

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Biography

Stefan Kremer is a Professor in the School of Computer Science at the University of Guelph. His research focuses on problem-driven approaches to machine learning, particularly in recognizing and categorizing structural patterns from various data forms. Kremer's lab employs advanced methods including artificial neural networks, support vector machines, deep belief networks, and evolutionary algorithms. His work spans several domains, with a strong emphasis on applications in biology, and he actively invites graduate applicants with relevant experience. Kremer’s publications often address complex data interpretation issues, integrating techniques from bioinformatics to enhance understanding of data structures.

Research Interests

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).