Dr. Majid Komeili

Associate Professor

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Biography

Majid Komeili is an Associate Professor in the School of Computer Science at Carleton University. His research focuses on machine learning, emphasizing the development of interpretable machine learning models and deep neural networks. He explores transfer learning and the creation of machine learning models that maintain explainability, striving to develop methods that elucidate existing black-box machine learning models. Additionally, he studies the capacity of machine learning models to learn and perform new tasks with a limited amount of labeled data, mirroring the capabilities of human cognition in these domains.

Research Interests

Requirements for Carleton University

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:86
PTE
Listening
Required:60
Reading
Required:60
Writing
Required:60
Speaking
Required:60
Overall
Required:60
Prerequisites
4-year Honours Bachelor's degree in Mechanical or Aerospace Engineering or related field
Application Checklist
  • Transcripts
  • CV/Resume
  • Statement of Intent
  • Two Letters of Reference
Specialization Notes

Includes MEng and MASc options.