Dr. Matthew Butler

Associate Professor

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Biography

Matthew Butler is an Associate Professor at the Faculty of Information Technology at Monash University in Melbourne, Australia. He has been a leading figure in research focusing on Inclusive Technologies, dedicating over 20 years to improving access to visual information for individuals who are blind or have low vision (BLV). Matthew's work investigates the use of emerging technologies, such as 3D printing and conversational agents, to create multi-sensory experiences and accessible graphical representations. His research is participatory, engaging BLV community stakeholders to enhance practical outcomes in Human-Computer Interaction (HCI). He has substantial experience as a Chief Examiner for various programming and game development courses at Monash. Matthew is committed to enhancing education quality, having held leadership roles, including Deputy Dean (Education) and Associate Dean (Learning and Teaching). His significant academic qualifications include a Doctor of Philosophy in Computing Education and a Bachelor's degree in Electronic Computer Engineering from Monash University. Matthew's expertise aligns with the UN Sustainable Development Goals, particularly in providing quality education. His collaborative research efforts have resulted in numerous projects aimed at creating accessible educational resources for BLV individuals.

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.