Dr. Zahra Saraeian

Assistant Professor

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Biography

Zahra Saraeian is an emerging scholar in the field of artificial intelligence, with a focus on machine learning and data science applications. She is currently a researcher at the University of Melbourne, engaged in various projects that apply advanced computational techniques to solve complex real-world problems. Having completed her PhD, Zahra has developed a keen interest in the ethical implications of AI technologies, particularly in ensuring inclusivity and fairness in algorithmic decision-making processes. Throughout her academic career, Zahra has actively participated in numerous conferences and workshops, sharing her insights and findings with the global research community. With a strong foundation in both theoretical and practical aspects of her research areas, she is dedicated to contributing to the academic literature and advancing knowledge in her field.

Research Interests

Requirements for University of Melbourne

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:16
Reading
Required:16
Writing
Required:19
Speaking
Required:19
Total
Required:81
PTE
Listening
Required:60
Reading
Required:60
Writing
Required:60
Speaking
Required:60
Overall
Required:64
Prerequisites
Undergraduate degree in a cognate discipline (Computer Science, Data Science, or Statistics) MAST10006 Calculus 2 MAST10007 Linear Algebra At least 12.5 credit points of computer programming subjects
Application Checklist
  • Academic Transcripts
  • Graduation Certificate
  • Evidence of English Proficiency
  • CV/Resume
  • Statement of Purpose