I received my Ph.D. degree at University of Otago (New Zealand) in 2016. From Oct. 2016 to Aug. 2021, I was a postdoc in multimedia signal processing (MMSP) group, University of Konstanz (Germany). Since Jun. 2022, I am a lecturer in Computing at School of Science and Engineering at University of Dundee (UK). I have been involved in some significant projects, funded by German Research Foundation (DFG). I have published more than 40 peer-reviewed machine learning and computer vision articles, e.g., IEEE TIP, IEEE TCSVT, and Neurocomputing. I serve as a member of technical program committee or a reviewer in a number of conferences/journals, e.g. QoMEX, IEEE TPAMI/TMM/TIP. 

• DI11004 - Project (Computing) (SEM 1 22/23)

• DI11007 - Calculus for Science and Engineering (SEM 1 22/23)

• AC52010 - MSc Project (Data Science and Engineering 22/23)

My research includes but not limit to:

• Visual quality assessment
• Motorcycle helmet use detection
• Visual saliency prediction
• Crowd scene analysis in video surveillance 

Potential PhD research projects

• Medical Image Quality Assessment The quality of a medical image, e.g., chest X-ray, plays an essential role in doctors’ clinical decision-making. While image quality assessment (IQA) has been widely studied on natural images, medical IQA is still challenging and less studied. This project aims to conduct a subjective study to build a benchmarking medical IQA database. With the database, a novel objective IQA metric will be developed using computer vision and deep learning techniques.
• Benchmarking trustworthy image quality assessment Current image quality assessment (IQA) methods, in particular deep learning-based, are not used to their full potential, due to limitations in the underlying databases, and shortcomings in reproducibility and reliability. The overarching goal of the project is to build a large-scale, well-structured benchmark database that could not only benefit the development and evaluation of objective IQA methods but also produce reproducible and reliable results that place researchers' trust in IQA research.
• Other ML/CV/DL topics

If you are interested in applying for a PhD study, please contact me (hlin001@dundee.ac.uk). 

I also welcome Chinese PhD applicants via China Scholarship Council (CSC)!

• Image processing
• Deep learning
• Machine learning
• Computer vision