1346442
Dr Laith Alzubaidi
Faculty of Engineering,
School of Mech., Medical & Process Engineering
Biography
LAITH ALZUBAIDI is currently a postdoctoral researcher in the School of Mechanical, Medical, and Process Engineering at the Queensland University of Technology ( QUT), Australia.In 2022, Laith completed his PhD in the field of medical imaging analysis with deep learning from the Queensland University of Technology (QUT) in Brisbane, Australia. He also holds a master’s degree in computer science from the University of Missouri (2016), USA. He has been awarded two scholarships; the first was received during his master’s degree, and a second scholarship was awarded by QUT for his Ph.D. He has published more than 53 refereed research papers. He is collaborating with other researchers around the world, including the USA, UK, Spain, Australia, and Malaysia, leading to more than 25 joint research publications.
He reviews papers for more than 53 journals, including IEEE Access, IEEE Transactions on Medical Imaging, Artificial Intelligence Review, Information Fusion, Pattern Recognition, etc. Currently, he leads two special issues for two highly reputed journals. He was awarded several grants for deep learning for medical applications. Laith has received more than 3,700 citations in a short time.
Personal details
Positions
- Senior Research Fellow
Faculty of Engineering,
School of Mech., Medical & Process Engineering
Qualifications
- Doctor of Philosophy (Queensland University of Technology)
Publications
Filter publications:
A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/l.alzubaidi
Supervision
Current supervisions
- Adaptable, Scalable Deep Learning Frameworks for Big Data in Decentralised Medical Imaging Classification Systems
PhD, Associate Supervisor
Other supervisors: Distinguished Professor YuanTong Gu - Deep Learning Framework for Trustworthy Medical Image Segmentation
PhD, Associate Supervisor
Other supervisors: Dr Jinglan Zhang - Enhancing Disease Classification using Multi-modal data
PhD, Associate Supervisor
Other supervisors: Dr Jinglan Zhang, Professor Yuefeng Li - Medical image analysis with machine learning/deep learning
PhD, Associate Supervisor
Other supervisors: Dr Jinglan Zhang - Unified Deep Learning Framework for Multi-Class, Multi-Modal Medical Task Learning
PhD, Associate Supervisor
Other supervisors: Dr Jinglan Zhang
Completed supervisions (Doctorate)
Completed supervisions (Masters by Research)
- Deep Semi-Supervised Point Cloud-Based Models with Uncertainty Awareness for Efficient Abnormality Detection in 3D Medical Imaging (2025)
- A Runge-Kutta Based Physics Informed Neural Network Framework for Structural Vibration Analysis (2024)
- Using Integrated Pre-Trained Learning Methods to Address Data Scarcity Problem for Medical Imaging Diagnostics (2024)
The supervisions listed above are only a selection.