Dr. Wenbin Fei

Assistant Professor

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Biography

Wenbin Fei is a researcher with a focus on human-centered artificial intelligence and information management. He has published extensively in the domains of knowledge management, social network analysis, and data-driven learning. His work involves optimizing human-technology interaction through innovative solutions that enhance decision-making processes. Fei is also interested in the application of machine learning techniques to improve data analytics in real-world scenarios. His research aims to bridge the gap between technical advancements and everyday applications, thereby making complex technologies accessible and beneficial for various user groups. Fei collaborates with interdisciplinary teams to explore new avenues for integrating AI technologies into traditional fields, ensuring ethical considerations and user relevance are always prioritized.

Research Interests

Requirements for University of Melbourne

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:16
Reading
Required:16
Writing
Required:19
Speaking
Required:19
Total
Required:81
PTE
Listening
Required:60
Reading
Required:60
Writing
Required:60
Speaking
Required:60
Overall
Required:64
Prerequisites
Undergraduate degree in a cognate discipline (Computer Science, Data Science, or Statistics) MAST10006 Calculus 2 MAST10007 Linear Algebra At least 12.5 credit points of computer programming subjects
Application Checklist
  • Academic Transcripts
  • Graduation Certificate
  • Evidence of English Proficiency
  • CV/Resume
  • Statement of Purpose