Dr. Fethi Rabhi

Professor

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Biography

Professor Fethi Rabhi has been a part of the University of New South Wales since 2000, where he is a faculty member at the School of Computer Science and Engineering. He holds a PhD in Computer Science from the University of Sheffield, UK. His primary roles include conducting research projects and teaching various subjects in Computer Science and Software Engineering. He is actively engaged in facilitating university-industry collaborations, particularly in the context of financial applications, with ongoing projects focused on areas such as financial markets, wealth management, and regulatory reporting. Rabhi has attracted over $4 million in grants for significant projects like Fintech AI, where he investigates novel AI applications in collaboration with industrial partners, including Westpac and AWS. Beyond financial technology, his research interests encompass Software Engineering, Design Methods, and High-Performance Computing. In November 2022, he co-founded the Fintech AI Innovation Consortium to bolster UNSW's strengths in digital innovation and AI applications.

Research Interests

Experience

Professor

2000-01-01 — Present

University of New South Wales • Kensington, NSW

Engaged in research and teaching in Computer Science and Software Engineering.

Requirements for University of New South Wales

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:23
Reading
Required:23
Writing
Required:23
Speaking
Required:23
Total
Required:90
PTE
Listening
Required:54
Reading
Required:54
Writing
Required:54
Speaking
Required:54
Overall
Required:64
Prerequisites
Recognised Bachelor degree Minimum 1 year relevant work experience for certain streams
Application Checklist
  • Academic Transcripts
  • Proof of English Language Proficiency
  • Curriculum Vitae (CV)
  • Personal Statement
  • Copy of Passport
Specialization Notes

Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.