Dr. Michelle Antoinette

Associate Professor

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Biography

Michelle Antoinette is an Associate Professor in Art History and Theory at Monash University, Melbourne. Her research focuses on modern and contemporary Asian art histories, particularly those of Southeast Asia. She has published widely in this field, with significant contributions to the discourse around Asian diasporas and Asian-Australian artists. Prior to her role at Monash, she held research and teaching positions at the Australian National University, where she was also the Convenor of courses on Asian Pacific art and museums. Michelle has been awarded major fellowships from the Australian Research Council, investigating developments in Asian contemporary art and curation. She has authored and co-authored critical works such as "Reworlding Art History" and "Contemporary Asian Art Exhibitions," and she co-curated the exhibition "Shaping Geographies" in Singapore. Michelle is actively involved in supervising graduate projects and is recognized for her contributions to the understanding of art in a global context.

Research Interests

Experience

Associate Professor

2013-01-01 — Present

Monash University • Melbourne, Australia

Teaching and researching modern contemporary Asian art histories.

Convenor/Lecturer

2007-01-01 — 2012-12-31

Australian National University • Canberra, Australia

Delivered courses on Asian Pacific art and museums.

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.