Personal profile

Biography

Dr Priyanka Rana is a Postdoctoral Research Fellow in the Centre for Health Informatics (CHI), Australian Institute of Health Innovation (AIHI). She received her PhD in Computer Science from UNSW Sydney in March 2023.

Her research focuses on developing Computer VisionMachine and Deep Learning methodologies for analysing images to address various biomedical challenges. Through her previous studies, she has acquired expertise in different areas of AI, including multi-channel image analysis, data augmentation, model generalisation, imbalanced data, optimal feature representation, multi-instance learning and synthetic image generation.

2024:

  • She received the highly competitive Macquarie Research Acceleration Scheme (MQRAS) grant in July 2024.
  • She received funding through the Early Career Researcher Enabling Scheme in March 2024.

2023: She won the Early Career Researcher (ECR) Showcase Competition.

2019-2022: She received prestigious UNSW Women in Engineering scholarship and the Australian Government Research Training Program scholarship during her PhD.

Research interests

Her current project is on multiplex Immunofluorescent (mIF) images which are particularly distinguished by their large number of channels and the high cost of their generation. The project is in collaboration with Melanoma Institue of Australia and aims to improve understanding of immunotherapy responses in melanoma and contribute to personalized medicine using AI. Successful completion of this project will provide valuable insights into treatment strategies and advance cancer research.  

Teaching and Leadership

Dr Priyanka has taught postgraduate and undergraduate courses in Computer Science covering topics such as Computer vision, Design thinking, Human-Computer tnteraction, Data mining, E-Strategic management, Algorithms and Data structures, and Android development.


October 2015 - June 2018 : Lecturer at James Cook University, Singapore:
• Related work: https://www.slideshare.net/PriyankaRana17/presentations.
• Additionally, responsible for the two-day design SPRINT session for design thinking modules and conducting audit interviews for the projects undertaken by the students.

Education/Academic qualification

Computer science, PhD, Analysis of Cellular and Subcellular Morphology using Machine Learning in Microscopy Images, UNSW

Mar 2019Dec 2022

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