Dr. Yiannis Ventikos

Professor

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Biography

Professor Yiannis Ventikos is the Dean of the Faculty of Engineering at Monash University and a member of the Fluidics Biocomplexity Group. He has an extensive academic background with studies across Greece, France, the USA, Switzerland, and the UK. With over 150 publications in peer-reviewed journals and contributions to books and conference proceedings, he is recognized for his expertise in engineering. His principal research interests include transport phenomena in fluid mechanics, applied biomedical engineering, and energy-focused studies, emphasizing innovative industrial processes and biocomplexity. His work encompasses areas such as arterial hemodynamics, medical device innovations, and computational modeling methods including CFD and FEM. He is actively involved in tech transfer and entrepreneurship, serving as a senior academic co-founder of a spin-out company focused on sustainable clean power technologies. Ventikos has also served as a reviewer for over 70 academic journals and is part of the editorial boards of six scholarly journals. His contributions extend to international forums through organizing and participating in numerous conferences. Professor Ventikos holds a Master of Engineering and a Doctor of Philosophy degree in Naval Architecture and Marine Engineering from the National Technical University of Athens.

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.