Dr Qiang Liu
PhD
Expertise
My research interests are to develop and apply state-of-the-art AI and bioinformatic techniques to gain a deeper understanding of neurological and mental health disorders, and to develop effective treatments.
Current positions
Lecturer in Data Science
School of Engineering Mathematics and Technology
Contact
Press and media
Many of our academics speak to the media as experts in their field of research. If you are a journalist, please contact the University’s Media and PR Team:
Biography
He has been working on mental health and healthcare robotics. He has cross-disciplinary interests in mental health illnesses, neuroscience and AI. His aim is to develop and apply state-of-the-art AI and bioinformatic techniques to gain a deeper understanding of neurological and mental health disorders and to develop effective treatments.
Research interests
I have a broad range of research interests across the field of AI. My research interests lie in the applications of AI and bioinformatics in medical, biological science and healthcare robotics, especially neurological and mental health disorders, including:
- Applications: personalised treatment, early diagnose, risk assessment, disease progression monitoring, treatment response prediction, prognostic and diagnostic modelling, drug discovery, information retrieval, etc.
- Algorithms: generative AI, machine learning, statistical modelling, MCDA, etc.
- Data types: EHR, neuroimaging and cellular imaging, omics data, biomedical signals, data from smart/wearable sensors, longitudinal and cross-sectional data, etc.
Current PhD students:
Sammy Shorthouse
Hans Johnson
Ziwen Yu
Ting Zhou
Bolin Chen
I am currently open to PhD applications.
Projects and supervisions
Research projects
Cryptic Chatter: Decoding Multicellular Interactions with AI Microscopy
Principal Investigator
Role
Co-Investigator
Managing organisational unit
School of Engineering Mathematics and TechnologyDates
01/12/2024 to 31/07/2025
Feasibility of Artificial Intelligence (AI) for Patient Registries
Principal Investigator
Role
Co-Investigator
Managing organisational unit
School of Engineering Mathematics and TechnologyDates
01/12/2024 to 31/07/2025
Using artificial intelligence to decode morphological signatures for Alzheimer's disease
Principal Investigator
Managing organisational unit
School of Engineering Mathematics and TechnologyDates
01/04/2024 to 31/07/2024
Using artificial intelligence to identify disease phenotypes in Alzheimer’s disease through cellular morphology
Principal Investigator
Managing organisational unit
School of Engineering Mathematics and TechnologyDates
01/02/2024 to 31/07/2024
Publications
Selected publications
14/06/2023Predicting outcomes at the individual patient level: what is the best method?
BMJ Mental Health
Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression
BMC Psychiatry
Personalised treatment for cognitive impairment in dementia: development and validation of an artificial intelligence model
BMC Medicine
Recent publications
01/01/2025Development of an automated workflow for the characterization and ranking of neural organoid morphology
33rd Conference on Intelligent Systems for Molecular Biology and the 24th European Conference on Computational Biology - ISMB/ECCB 2025
An AG-RetinaNet for Embryonic Blastomeres Detection and Counting
International Journal of Imaging Systems and Technology
Genome-wide association neural networks identify genes linked to family history of Alzheimer’s disease
Briefings in Bioinformatics
Personalising antidepressant treatment for unipolar depression combining individual choices, risks and big data: the PETRUSHKA tool
Canadian Journal of Psychiatry
Region-aware grasping for stacked workpieces: A 6D-wise label self-generation method and robust evaluation strategy
IEEE Transactions on Automation Science and Engineering
Teaching
Sammy Shorthouse
Hans Johnson
Ziwen Yu
Bolin Chen
Ting Zhou
