Dr. Simon Troon

Assistant Professor

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Biography

Simon Troon is a Lecturer in Film, Screen and Culture at Monash University. His research focuses on disaster cinema and its ethical implications through the lens of the Anthropocene. Troon's notable publication, 'Cinematic Encounters Disaster: Realisms Anthropocene', is part of Bloomsbury Academic's 'Thinking Cinema' series. His work has been featured in renowned journals including Continuum, Journal of Media & Cultural Studies, and Media International Australia. Troon has previously held teaching positions at Swinburne University of Technology and the University of Canterbury. He is also involved as a Programming Chair at Environmental Films Australia. Troon is currently accepting PhD students and coordinating several courses, including ATS3540 - Documentary Screens and ATS3299 - Screen Body, at Monash University. His research interests encompass Ecocinema theory and practice, documentary aesthetics, and the intersection of culture and environmental issues in Australia and the South Pacific. With a commitment to the UN's Sustainable Development Goals, Troon strives to contribute to societal understanding of film's role in climate representation and environmental narratives.

Research Interests

Courses

ATS3540 - Documentary Screens ATS3299 - Screen Body APG5458 - Digital Technology, Policy and Governance ATS1304 - Introduction to Television Studies

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.