Dr. Tahereh Koohi

Instructor

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Biography

Tahereh Koohi is a Senior Research Associate at the School of Computer Science and Engineering at the University of New South Wales, specializing in AI-driven biomedical image processing. With a Ph.D. in Computer Science from UNSW, she has established herself as a leading expert in medical image processing using artificial intelligence. Her doctoral research focused on the development of neuroevolutionary deep convolutional neural networks for medical image analysis, providing a solid foundation for her future work. She holds dual master's degrees in Artificial Intelligence and Computing and has more than three years of postdoctoral experience at Leiden University Medical Center in the Netherlands, where she gained advanced expertise in medical imaging AI. Her research interests encompass the intersection of artificial intelligence, medical image processing, neural networks, deep learning, computer vision, evolutionary algorithms, neuroevolutionary algorithms, and machine learning.

Research Interests

Experience

Senior Research Associate

— Present

University of New South Wales • Kensington, Australia

Specialized in AI-driven biomedical image processing.

Awards

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UNSW Tuition Fee Scholarship

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International Macquarie University Research Excellence Scholarship

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.