Dr. Derry Wijaya

Associate Professor

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Biography

Derry Wijaya is an Associate Professor in Data Science at Monash University, specializing in research that aligns with the UN Sustainable Development Goals. His work focuses on improving societal resilience and fostering sustainable technological practices, particularly in Southeast Asia. He has led various projects aimed at mitigating the impact of disinformation on democratic processes, developing innovative solutions for sustainable practices in seaweed cultivation, and contributing to AI-driven healthcare solutions. He is a dedicated academic heavily involved in engagement activities, conferences, and seminars, addressing pressing global issues related to data democracy, misinformation, and technology's role in society. Derry Wijaya has collaborated with numerous researchers globally and has published extensively in various academic forums, enhancing Monash's reputation on the global stage. His contributions span over a decade, reflecting his commitment to advancing knowledge and practical solutions in data science and technology. He has actively participated in public lectures, community talks, and media discussions, emphasizing the intersectionality of technology and societal needs.

Research Interests

Experience

Associate Professor

2006-01-01 — Present

Monash University • Melbourne, Victoria, Australia

Contributing to the advancement of data science and its applications in global challenges.

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.