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Amenah Abdul Mujeeb

Overview of thesis

Optical Coherence Tomography (OCT) provides high resolution retina and other ocular internal structure images to acquire information about the overall health of the eye. This information is crucial for diagnosing eye diseases. However, tomogram generation is a time-consuming process. In recent research, AI techniques have been applied to reproduce spectral and signal data as higher dimensional data. We hypothesize that Machine Learning and Deep Learning methods can enhance spectral analysis and image generation for OCT imaging by reducing the time duration of OCT imaging. This project aims to construct spatial data (OCT-scan images) through advanced Deep Learning techniques, from raw spectrometer data. With this approach, the scan resolution and processing time will be determined and compared with the conventional OCT testing method.

Qualifications

Bachelor of Engineering (Biomedical Engineering), Ziauddin University (Nov 2018 – Jan 2023)

Research

Research Interests

  • Deep Learning
  • Virtual Reality
  • Biomedical Engineering
  • Computational Fluid Analysis

Past Research employment history

  • 2023-2025: Research Associate, Video Analytics Lab (National University of Sciences and Technology – Pakistan Navy Engineering College, Karachi, Pakistan)
  • 2021-2022: Volunteer Content Writer, IEEE Karachi Chapter

Supervisors

  • Dr. Syed Shams Islam (Edith Cowan University)
  • Dr. Douglas Chai (Edith Cowan University)
  • Dr. Barry Cense (University of Western Australia)

Contact

Amenah Abdul Mujeeb
PhD Computer Science
Centre of AI and Machine Learning, School of Science, Edith Cowan University 
OBEL, Electronics and Electrical Engineering Department, University of Western Australia 
School of Science
Email: a.abdulmujeeb@ecu.edu.au

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