Dr. Mark Thompson

Professor

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Biography

Professor Mark Christopher Thompson obtained his PhD in Applied Mathematics from Monash University in 1985. His doctoral project focused on applying computer modeling to fluid flow, particularly in the context of the collapse of massive stars nearing the end of their lives. His early career included ten years at CSIRO across the Energy Technology and Building and Construction Engineering Divisions, where he developed software models for fluid flows for various industries including Comalco and Warman International. In 1995, Thompson became a senior lecturer in the Department of Mechanical Engineering at Monash and has held significant positions, including Associate Dean of Research Training and Head of the Department of Mechanical and Aerospace Engineering. He was appointed a full professor in 2006. His research is centered on theoretical, computational, and experimental modeling of fluid flows, focusing on flow stability, transition, and turbulence in flows past stationary and vibrating bodies. Thompson has made substantial contributions to fields such as bioengineering, turbomachinery, and sports aerodynamics. He was awarded the Faculty Research Award in 2015 and was made a Fellow of the Australasian Fluid Mechanics Society in 2018, being recognized as one of the top ten authors in a leading fluid mechanics journal over a span of 15 years.

Research Interests

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.