Dr. Graham Farr

Professor

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Biography

Professor Graham Farr is a distinguished member of the Faculty of Information Technology at Monash University, where he serves as co-convenor of the Discrete Mathematics Research Group and leads Computer History Tours in Melbourne. His academic expertise encompasses a wide range of areas, including Algorithms, Combinatorial Games, and Cryptography, with substantial contributions to Discrete Mathematics and Graph Theory. With a Doctorate in Philosophy from the University of Oxford and a Bachelor of Science (Honours) from Monash University, Professor Farr passionately teaches and examines subjects such as Theory of Computation. He has been recognized for his excellence in teaching and postgraduate supervision, receiving multiple awards including the Vice-Chancellor's Award for Excellence in Postgraduate Supervision in 2011 and the Dean’s Awards for Equity, Diversity, and Inclusion in 2022. His ongoing research projects focus on innovative approaches to data analysis and malaria treatment. With over two decades of teaching experience and numerous outputs in esteemed publications, Professor Farr continues to inspire students and contribute significantly to his field.

Research Interests

Experience

Professor

1997-01-01 — Present

Monash University • Melbourne, Australia

Professor in the Faculty of Information Technology, involved in both teaching and research.

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.