Dr. Ben Duan

Instructor

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Biography

Ben Duan is currently an Adjunct Lecturer in the Department of Data Science & AI at Monash University. He has previously worked as a Research Fellow at the Hong Kong University of Science and Technology. Dr. Duan earned his Ph.D. in big data from the University of Technology Sydney, Australia. His research interests primarily include Reinforcement Learning, Graph Neural Networks, Intelligent Transportation Systems, and Fintech. Dr. Duan is passionate about supervising Ph.D. students, particularly those whose backgrounds are in Reinforcement Learning and graph neural networks that align with Intelligent Transportation Systems and Fintech. He encourages students with a focus on data-driven AI models applied to industrial processes, especially those dominated by particle-fluid flows. His contributions to research and teaching are supported by a commitment to meet Monash University's academic qualifications, which includes English language proficiency. Dr. Duan is actively engaged in various academic projects and collaborations that align with the UN Sustainable Development Goals.

Research Interests

Courses

Intelligent Image Video Analysis Deep Learning Statistical Data Modeling

Requirements for Monash University

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:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.