Dr. Junfeng Wen

Assistant Professor

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Biography

Junfeng Wen is an Assistant Professor at Carleton University in the School of Computer Science. He specializes in Artificial Intelligence and Machine Learning, with current research interests that include Reinforcement Learning, Transfer Learning, and Federated Learning. He is dedicated to advancing the understanding and application of these technologies, focusing on how they can be utilized in various domains to solve complex problems. His research not only aims to develop theoretical foundations but also to explore practical applications that can benefit society.

Research Interests

Artificial Intelligence Machine Learning Reinforcement Learning Transfer Learning Federated Learning

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.