Dr. Aung Ko Win

Assistant Professor

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Biography

Aung Ko Win is an academic at the University of Melbourne with a focus on the development of machine learning algorithms for a range of applications. His research interests include machine learning, computer vision, signal processing, and data analysis methods. He is particularly keen on furthering the understanding of how algorithms can learn from data and improve their performance in practical applications. With a strong foundation in statistical methods, Aung applies these concepts to explore problems in various domains including healthcare and image processing. His work often intersects with both theoretical and practical challenges, making significant contributions to the field of artificial intelligence. Aung actively engages in collaborative research that seeks to address real-world problems using advanced techniques.

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