Posterior Eye Segment, Retinal imaging, Artificial Intelligence, Deep Learning, Medical Image Processing
Ms Rehana Khan Tajuddin Mohamed Akthar Khan is a PhD candidate and Associate lecturer at the School of Optometry and Vision Science (SOVS), USNW. Her research focuses on utilizing artificial intelligence (AI) algorithms to enhance the understanding and prediction of ocular and systemic diseases. With a strong foundation from the Elite School of Optometry, India, and equipped with practical experience as a clinical and research optometrist, she...view more
Ms Rehana Khan Tajuddin Mohamed Akthar Khan is a PhD candidate and Associate lecturer at the School of Optometry and Vision Science (SOVS), USNW. Her research focuses on utilizing artificial intelligence (AI) algorithms to enhance the understanding and prediction of ocular and systemic diseases. With a strong foundation from the Elite School of Optometry, India, and equipped with practical experience as a clinical and research optometrist, she has made significant contributions through publications and peer-reviewed journal reviews. As an associate lecturer, Rehana is committed to nurturing the knowledge and skills of future optometrists, providing them with guidance and support to thrive in their academic pursuits.
Professional Affiliations
- 2023-present: Fellow of American Academy of Optometry (FAAO)
- 2023-2026: Accredited Mental Health First Aider, Australia
- 2023-present: Ph.D. Internship, Institute of Statistical and Data Science (Instats), Australia
- 2023-present: Deputy Director of Learning, Institute of Statistical and Data Science (Instats), Australia
Memberships
- 2020-present: Association of Research in Vision and Ophthalmology (ARVO), member-in-training
- 2022-present: American Academy of Optometry (AAO)
- 2022-present: Member of Vision Science Academy
My Grants
UNSW School of Optometry and Vision Science: Diabetes Research Grant from the Elizabeth O’Beirne and Robert and Emmy Mather Trust Fund, 2023.
Grant entitled: Development and validation of deep learning algorithm using ultra-wide-field Optos images for early detection of diabetic retinopathy in 45-degree single-field.
My Qualifications
- PhD Candidate - Development and validation of artificial intelligence based deep learning algorithm for the prediction of systemic and ocular abnormalities from retinal OCT and fundus photographs
- Bachelor of Optometry and Vision Science, Elite School of Optometry & Birla Institute of Technology and Science (BITS), India, 2015
My Awards
- Best poster presentation award in the 2nd India Vision Institute (IVI) International Optometry Conference, 2021
- University International Postgraduate Award (UIPA) (Stipend for 2022 - 2025), UNSW
- Mentee, Industry Mentoring Network in STEM (IMNIS), 2023
- Fellow of American Academy of Optometry, 2023
- Associate Fellow of the Higher Education Academy (AFHEA), 2023
My Teaching
- VISN1111 - Geometrical and Physical Optics
- VISN1221 - Visual Optics
https://orcid.org/0000-0001-9365-190X