Dr. Frada Burstein

Professor

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Biography

Professor Frada Burstein, graduated from the Faculty of Applied Mathematics and Cybernetics of Tbilisi State University, Georgia, USSR, and completed her PhD at the Institute of Cybernetics, Georgian Academy of Science. Her PhD thesis focused on the development of man-machine procedures for multicriteria decision making using vector preference relations. With an extensive professional academic career spanning over twenty years, she has engaged in areas such as decision theory and decision support systems. Frada has been a faculty member at Monash University since 1992 and is currently the Director of the Knowledge Management Research Program at the Caulfield School of IT. Her accolades include being named ICT Educator of the Year by the Australian Computer Society in June 2013. Frada's research interests lie in providing decision support, improving user experience across various devices, and developing knowledge management systems for enhanced human interaction. She has successfully attracted over $3 million in competitive grants to support her research initiatives. Frada has supervised 28 PhD and 13 Master's research students during her tenure at Monash.

Research Interests

Experience

Adjunct Professor

2021-01-01 — Present

Monash University • Melbourne, AU

Awards

#

ICT Educator of the Year

2013-12-01
#

Distinguished Member

2019-12-01
#

Outstanding Service Award

2020-10-20
#

Supervisor of the Year Award

2003-01-01

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.