Dr. Rashina Hoda

Professor

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Biography

Rashina Hoda is a Professor of Software Engineering at Monash University, Australia. Her research focuses on the human socio-technical aspects of Software Engineering, Artificial Intelligence, and Digital Health. In 2025, she was named a Top Researcher in Software Systems in Australia. Rashina has contributed significantly to the field, including a book on Qualitative Research and Socio-Technical Grounded Theory published by Springer in 2024, which presents approaches to modern socio-technical variation in research methods. She has an active role as Associate Dean for Equity, Diversity, and Inclusion, where she emphasizes the importance of an intersectional lens in academic portfolios. Her advocacy for women in STEM has earned her recognition with the Guiding Star Mentorship Award in the 2024 Women of Colour STEM Awards and her selection as a member of the Superstars of STEM 2021-22 cohort. Rashina is enthusiastic about making research accessible to various audiences, including academics, industry professionals, and the media.

Research Interests

Experience

Professor

2015-01-01 — Present

Monash University • Melbourne, Australia

Conducts research and teaches in the field of Software Engineering, focusing on socio-technical aspects and digital health.

Awards

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Distinguished Paper Award

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Distinguished Reviewer Award

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Teaching Excellence Award

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.