Lecturer (Assistant Professor), Machine Intelligence
School of Information Technology
Deakin University

Honorary Fellow
School of Computing and Information Systems
The University of Melbourne

I am a lecturer in the School of Information Technology, Deakin University (Burwood campus). I also hold an honorary fellow position in the School of Computing and Information Systems (CIS), The University of Melbourne. Prior to Deakin, I was a research fellow in the Schoolf of CIS at The University of Melbourne. I received my Bacholor, Master and PhD degrees from Jilin University, Tsinghua University and The University of Melbourne, respectively.

I are interested in the theory and applications of machine learning and deep learning, with a particular focus on adversarial machine learning, trustworthy machine learning, weakly supervised learning, deep learning, data privacy and AI Security.

Research Areas:

  • Machine Learning
    • Adversarial machine learning
    • Weakly supervised learning
    • Statistical machine learning
  • Deep Learning
    • Adversarial robustness of DNNs
    • Backdoor robustness of DNNs
    • Deep learning theory
  • AI Security & Applications
    • Image classification, image segmentation
    • Object detection, visual object tracking
    • Image inpainting, inpainting detection
    • Video understanding, deepfake detection
    • Medical image analysis, medical AI
    • Natural languagge processing: sentiment analysis

Professional Activities:

Grants

  • Digitally-driven characterisation and design of fibre-reinforced composites, Mini ARC Analog Programme (MAAP), Deakin University, 110.8K (25K + 1 PhD scholarship), 2021-2023

Contact:

Email: daniel.[lastname]@deakin.edu.au/[firstname].[lastname]@unimelb.edu.au
Phone: +61 414521205
Face to face: Office 2.10, Building T, Deakin University, 221 Burwood hwy, Burwood, VIC 3125.