Dr. Chin Yeoh Vern

Assistant Professor

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Biography

Chin Yeoh Vern is a Lecturer at Monash University specializing in Mechanical Engineering. His research interests include Computational Fluid Dynamics, Lattice-Boltzmann Methods, Multiphase Flows, Multiphysics Modelling, and Turbulence. He has a strong background in Direct Numerical Simulation and the quantification of fractal grid-generated turbulent flows, contributing significantly to the understanding of nonlinear dynamics and its applications in areas like algae bioengineering. Yeoh is engaged in various projects that aim to enhance the capabilities of devices through innovative cooling techniques involving graphene. His commitment to teaching is reflected in his courses on Fluid Mechanics, Materials Selection, and Engineering Design, along with Numerical Methods and Engineering Mathematics. He actively accepts PhD students and collaborates with colleagues on multiple research initiatives to contribute to sustainable development goals and advance the field of engineering.

Research Interests

Experience

Lecturer

2018-01-01 — Present

Monash University • Melbourne, Australia

Teaching and supervising students in Mechanical Engineering, focusing on fluid mechanics and numerical methods.

Courses

MEC3451 Fluid Mechanics 2 MEC3459 Materials Selection MTE2102 Phase Equilibria Phase Transformations MMA3001 Numerical Methods ENG1005 Engineering Mathematics

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.