Dr. Haniyeh Hemmation

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Biography

Haniyeh Hemmatian is a research fellow at The University of Melbourne, specializing in artificial intelligence and its applications across various fields. With a focus on fuzzy logic and machine learning, she engages in research that aims to enhance the capabilities of these technologies in practical scenarios. Haniyeh completed her PhD in Computer Science at The University of Melbourne, where she developed a strong background in image processing and data mining. She has contributed to numerous research projects and has published her findings in reputable journals, demonstrating her expertise and commitment to advancing knowledge in her field.

Research Interests

Experience

Research Fellow

2021-01-01 — Present

The University of Melbourne • Melbourne, Australia

Conducting research in artificial intelligence, focusing on fuzzy logic and its applications.

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