Accepting PhD Students

PhD projects

GEMS 2022 - Graph based deep anomaly detection on transactional data
FRGS 2022 - RewardQNet: Novel Reward-based Deep Learning Agent Self-structuring Framework for Untreated Intracranial Aneurysm (UIA) Segmentation


Research activity per year

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Personal profile


Dr. Ting Fung Fung is a lecturer at School of Information Technology (SoIT), Monash University . She was awarded the Doctor of Philosophy (Ph.D.) Engineering in year 2020. Her recent research work had received the 2020 WSIS (World Summit of the Information Society) Prize in Switzerland as a champion project. Her dissertation for the Master in Engineering Science degree titled “Visualisation for Brain Early Infarct Detection” was awarded the Best Thesis Award for Master degree study in 2017. She has published her work in many journals and conference proceedings. One of the research studies that stands out is her publication in Expert Systems with Application, titled “Convolutional Neural Network Improvement for Breast Cancer”, where she conducted in-depth research on automated classification and segmentation of breast cancer lesion through deep learning. Her primary research interests are in deep learning, expert system, biomedical engineering and image processing.

Research interests

Deep learning:

  • Medical image analysis
  • Bio data analysis

Expert System:

  • Computer-aided detection (CAD)

Biomedical Engineering: 

  • Telehealth
  • Medical Imaging

Monash teaching commitment

  • FIT1045- Algorithms and programming fundamentals in python
  • FIT1043- Introduction to data science
  • FIT3175- Usability
  • FIT3080- Artificial Intelligence

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

461103, Doctor of Philosophy (Engineering), Breast Cancer Classification and Visualisation using Transposed Deep Neural Network, Universiti Multimedia (Multimedia University)

19 Jul 201724 Feb 2020

Award Date: 24 Feb 2020

400304, Master of Engineering Science (MEng.Sc), Visualisation for Early Brain Infarct Detection, Universiti Multimedia (Multimedia University)

8 May 20155 Jun 2017

Award Date: 5 Jun 2017

460304, Bachelor of Engineering (Hon) Electronics majoring in Robotics and Automation, Facial Recognition with Microsoft Kinect Sensor, Universiti Multimedia (Multimedia University)

1 Jun 200914 Jul 2014

Award Date: 14 Jul 2014

Research area keywords

  • Deep Learning
  • Computer Vision
  • Biomedical Imaging Processing
  • Expert System

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or