Research
The approach has worked on brain function from EEG and on joint structure from high-resolution CT. It now targets cell aggregates and early embryos, whose mechanical state reports on their function and developmental potential but cannot be measured without handling or destroying them. Everything is built to be adopted, replicated and extended by other groups.
Three lines of work, in the order I took them up. All of them are still running.
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2017–
Brain activity and language
Cranfield University, United Kingdom
Machine-learning frameworks for diagnosing dementia from EEG, using frequency, time-frequency and connectivity features. The line continues through research projects with medical students in Australia. The latest paper, in the Journal of Neuroscience Methods (2026), shows that analysis choices alone can produce apparent rich-club differences. Thai linguistics sits on this line as well, so far as a book chapter on reported thought in Thai news reports, because the next EEG work is on language.
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2019–
Joints and mineralised tissue
Integrative Cartilage Research Group of Kathryn Stok, The University of Melbourne, Australia
Reproducible, high-throughput morphometry of bone, cartilage and the osteochondral interface from microCT, contrast-enhanced CT and synchrotron imaging, used to track coordinated tissue change in preclinical models of osteoarthritis. The collaboration with the University of Melbourne continues, with results from the postdoc still appearing, and I review CT imaging papers for journals and conferences.
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2026–
Cell aggregates and embryos
Cell Mechanics Group of Jeonghyun Kim, in the Biothermal Engineering Laboratory, Kyushu University, Japan
Estimating the mechanical properties of embryos and 3D cell aggregates non-invasively, by pairing routine microscopy with quantitative image features, machine learning and experimental mechanics. This is the main programme now, supported by a JSPS Postdoctoral Fellowship.
Funding
-
2026
JSPS Postdoctoral Fellowship (Standard Program)
Japan Society for the Promotion of Science
Establishing image-driven estimation of embryonic mechanical properties for reproductive health. Hosted by A/Prof. Jeonghyun Kim at Kyushu University. About 7% success rate.
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2026
Grant-in-Aid for JSPS Research Fellow
Japan Society for the Promotion of Science
Data-driven mechanical characterisation of early-stage embryos for reproductive medicine. Hosted by A/Prof. Jeonghyun Kim at Kyushu University.
生殖医療に向けた初期胚のデータ駆動型力学特性評価構築 -
2026
Research Grant (A)
Tateisi Science and Technology Foundation
Creation of an image analysis platform integrating morphology and mechanical properties of embryos. Co-investigator leading imaging and AI development, with A/Prof. Jeonghyun Kim as PI.
受精卵の形態と力学特性を統合した画像解析基盤の創成 -
2025
Two postdoctoral fellowships, offered and declined
University of Calgary
The VP (Research) Postdoctoral Match-Funding Fellowship and the T. Chen Fong Postdoctoral Fellowship in Medical Imaging Science.
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2024
Early Career Researcher Grant
The University of Melbourne
Sole PI. High-throughput, high-resolution: a comprehensive image analysis platform for arthritis research.
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2024
Accelerate Grant
The University of Melbourne
Sole PI. Quantifying microstructural changes with the synchrotron: a closer look into the bone-cartilage interface.
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2023
Grant-in-Aid
Australian and New Zealand Bone and Mineral Society and Bone Health Foundation
Co-investigator for imaging, with K. S. Stok as PI.
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2023
Synchrotron beamtime
Australia's Nuclear Science and Technology Organisation (ANSTO)
Co-investigator for image analysis, with K. S. Stok as PI.
Publications
Newest first. My name is in bold; an asterisk marks the corresponding author. Conference abstracts are listed in the CV, and citation counts are on Google Scholar.
Journal articles
- 2026
K.-W. Liu, R. T. E. Pang, P. Durongbhan*. Analysis choices can produce apparent rich-club differences: an Alzheimer's disease EEG case study. Journal of Neuroscience Methods.DOI 10.1016/j.jneumeth.2026.110927
- 2026
P. Durongbhan, L. A. E. Evans, A. Sharma, A. A. Pitsillides, K. S. Stok. Mechanobiology of the osteochondral unit using advanced imaging in preclinical osteoarthritis models. Osteoarthritis Imaging.DOI 10.1016/j.ostima.2026.100473
- 2026
J. E. Schadow, P. Durongbhan, H. Liu, R. A. Davey, K. S. Stok. Development of an in vivo contrast-enhanced microcomputed tomography protocol for cartilage and bone imaging in mice with anionic contrast agent. Bone.DOI 10.1016/j.bone.2026.118067
- 2026
Y. Dilek, J. Q. Rios, C. O'Riordan, V. Bruggink, K. Warmink, K. A. Muenzebrock, H. Chen, M. Fenu, N. Bloemhoff, P. Durongbhan, G. J. V. M. van Osch, K. S. Stok, J. P. Garcia, L. B. Creemers. Spatial and longitudinal monitoring of cartilage and intervertebral disc extracellular matrix formation using proteoglycan building blocks and click chemistry: specificity, quantification and detection upon subcutaneous implantation. Acta Biomaterialia.DOI 10.1016/j.actbio.2026.07.050
- 2026
P. Durongbhan, L. A. E. Evans, D. M. Findlay, A. A. Pitsillides, B. Willie, K. S. Stok. Improving comparability of microCT assessment and reporting of subchondral bone in mouse models of osteoarthritis. Osteoarthritis and Cartilage.DOI 10.1016/j.joca.2026.05.006
- 2026
H. Liu, P. Durongbhan, C. E. Davey, K. S. Stok. Three-dimensional quantitative morphometric analysis (QMA) allows for reproducible and sensitive assessment of bone and joint in a preclinical mouse model of osteoarthritis. JBMR Plus.DOI 10.1093/jbmrpl/ziag087
- 2026
S. Bonaretti, M. Barzegari, M. Bevers, and 41 others, including P. Durongbhan. Open and reproducible research in musculoskeletal imaging: why it matters and how to implement it with the guidelines of the ORMIR community. JBMR Plus.DOI 10.1093/jbmrpl/ziag025
- 2024
P. Durongbhan, C. E. Davey, K. S. Stok. Empirical modelling workflow for resolution invariant assessment of osteophytes. IEEE Transactions on Biomedical Engineering.DOI 10.1109/TBME.2024.3431634
- 2024
M. T. Kuczynski, N. J. Neeteson, K. S. Stok, A. J. Burghardt, M. A. Espinosa Hernandez, J. Vicory, J. J. Tse, P. Durongbhan, S. Bonaretti, A. K. O. Wong, S. K. Boyd, S. L. Manske. ORMIR_XCT: a Python package for high resolution peripheral quantitative computed tomography image processing. Journal of Open Source Software.DOI 10.21105/joss.06084
- 2023
H. Liu, P. Durongbhan, C. E. Davey, K. S. Stok. Image registration in longitudinal bone assessment using computed tomography. Current Osteoporosis Reports.DOI 10.1007/s11914-023-00795-6
- 2023
P. Durongbhan, J. W. MacKay, J. E. Schadow, C. E. Davey, K. S. Stok. Quantitative morphometric analysis in tibiofemoral joint osteoarthritis imaging: a literature review. Osteoarthritis Imaging.DOI 10.1016/j.ostima.2023.100088
- 2023
P. Durongbhan, M. O. Silva, Z. Li, N. Ansari, R. Y. N. Kour, C. E. Davey, K. S. Stok. A microCT imaging protocol for reproducible and efficient quantitative morphometric analysis (QMA) of joint structures for in situ mouse tibio-femoral joint. Bone.DOI 10.1016/j.bone.2022.116606
- 2022
P. Durongbhan, C. E. Davey, K. S. Stok. SPHARM-PDM based image preprocessing pipeline for quantitative morphometric analysis (QMA) for in situ joint assessment in rabbit and rat models. Scientific Reports.DOI 10.1038/s41598-021-04542-8
- 2021
B. A. Besler, J. E. Schadow, P. Durongbhan, T. H. Steiner, R. J. Choo, M. A. Zulliger, M. Wilke, K. Atal, C. Firminger, A. Quintin, B. Koller, R. Müller, D. Nesic, K. S. Stok. Quantitative measures of bone shape, cartilage morphometry and joint alignment are associated with disease in an ACLT and MMx rat model of osteoarthritis. Bone.DOI 10.1016/j.bone.2021.115903
- 2020
Y. Zhao, Y. Zhao, P. Durongbhan, L. Chen, S. A. Billings, P. Zis, Z. C. Unwin, M. De Marco, A. Venneri, D. J. Blackburn, P. G. Sarrigiannis. Imaging of nonlinear and dynamic functional brain connectivity based on EEG recordings with the application on diagnosis of Alzheimer's disease. IEEE Transactions on Medical Imaging.DOI 10.1109/TMI.2019.2953584
- 2019
P. Durongbhan, Y. Zhao, L. Chen, P. Zis, M. De Marco, Z. C. Unwin, A. Venneri, X. He, S. Li, Y. Zhao, D. J. Blackburn, P. G. Sarrigiannis. A dementia classification framework using frequency and time-frequency features based on EEG signals. IEEE Transactions on Neural Systems and Rehabilitation Engineering.DOI 10.1109/TNSRE.2019.2909100
Book chapters
- 2026
A. M. Cagnoni, H. Liu, P. Durongbhan, K. S. Stok. In vivo contrast-enhanced micro-computed tomography for whole-joint assessment in mouse models of osteoarthritis: image processing and quantitative analysis. In Cartilage, Springer.
- 2023
P. Tiratanti, P. Durongbhan. Reported thought embedded in reported speech in Thai news reports. In The Grammar of Thinking: From Reported Speech to Reported Thought in the Languages of the World, De Gruyter Mouton.DOI 10.1515/9783111065830-009
Recent talks
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Sep 2026
Towards 3D virtual histology of mineralised tissue
石灰化組織の3Dバーチャル組織学に向けて61st Medical Engineering Collaboration Initiative, Fukuoka
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Sep 2026
From stacks to stress: what imaging can and cannot tell you about 3D mechanics
Invited seminar, Soonchunhyang University, Cheonan, Korea
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Sep 2026
Predicting the unseen: lessons from cross-modality imaging
KAIST–Kyushu University Joint Workshop, Daejeon, Korea
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Jun 2026
Quantitative image analysis: how true is your image?
定量的画像解析:その画像は、どこまで本当か?JSPS Fellow Seminar, Fukuoka
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Feb 2025
Imaging the osteochondral unit: insights from the synchrotron
Nagoya–Melbourne Joint Research Workshops, Nagoya
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Dec 2024
Imaging the osteochondral unit: insights from the synchrotron
Future Global Leaders in MSK Research, Melbourne
Awards
- 2025
National Innovation Visa, Critical Technologies
Australian Government
Tier one sector, about 3% invitation rate.
- 2023
FEIT Excellence Award in Teaching and Learning
The University of Melbourne
For innovation in teaching programs.
- 2023
Christopher and Margie Nordin Young Investigator Poster Award, finalist
Australian and New Zealand Bone and Mineral Society
- 2022
Christine and T. Jack Martin Research Travel Grant
Australian and New Zealand Bone and Mineral Society
- 2021
Argus Research Scholarship in Engineering
The University of Melbourne
- 2021
W. E. and C. H. H. Cook Memorial Award
The University of Melbourne
- 2019
Melbourne Research Scholarship
The University of Melbourne and the Australian Research Council
Full PhD stipend with fee remission.
- 2017
Cranfield Scholarship
Cranfield University, Centre for Computational Engineering Sciences
- 2015
Dow Chemical Scholarship for Academic Excellence in Electrical Engineering
Dow Chemical Thailand Group
Conference travel grants from ANZBMS, ANZORS, QMSKI, ORMIR and the University of Melbourne (2022 to 2025) are listed in the CV.
Service
- 2025–
Lead, Research Advisory Committee
Australian Medical Student Research Association
- 2024–
Technical Advisory Board
Open and Reproducible Musculoskeletal Imaging Research (ORMIR)
- 2026
Review Committee, BHI 2026
IEEE EMBS International Conference on Biomedical and Health Informatics
- 2025–2026
Editor-in-Chief, ANZBMS Newsletter
Australian and New Zealand Bone and Mineral Society
- 2024–2025
Technical Program Committee, ISBI
IEEE International Symposium on Biomedical Imaging
- 2024
Scientific Review Committee and session chair, QMSKI
International Workshop on Quantitative Musculoskeletal Imaging
Background
Positions
- 2026–
JSPS Postdoctoral Fellow
Cell Mechanics Group, Kyushu University, Japan
Building a non-invasive, image-based platform to estimate the mechanical properties of embryos, pairing 3D confocal microscopy with quantitative feature extraction and machine-learning models.
- 2026–
University Guest (Academic)
Integrative Cartilage Research Group, The University of Melbourne, Australia
Continuing the musculoskeletal imaging collaborations from Fukuoka.
- 2023–2026
Academic Specialist and Research Fellow
Integrative Cartilage Research Group, The University of Melbourne, Australia
Led a reproducible, high-throughput software framework for quantitative analysis of high-resolution 3D computed tomography.
- 2018–2020
Adjunct Researcher in Medical Imaging
Cranfield University, United Kingdom
EEG-based machine learning for dementia diagnosis.
Education
- 2019–2023
PhD in Biomedical Engineering
The University of Melbourne, Australia
Thesis: Development and validation of image processing framework for dynamic quantitative analyses of joint and osteochondral tissues. Supervised by Prof. Kathryn Stok and A/Prof. Katie Davey.
- 2017–2018
MSc in Computational and Software Techniques in Engineering
Cranfield University, United Kingdom
Thesis: Classification of dementia based on EEG data using advanced signal processing and machine learning approaches. Supervised by Prof. Yifan Zhao.
- 2012–2016
BEng (Hons) in Electrical Engineering
Chulalongkorn University, Thailand
Thesis: Image registration using feature point pairs. Supervised by A/Prof. Charnchai Pluempitiwiriyawej.
Teaching
- 2024
Co-lecturer, Circuits and Systems (BMEN30006)
The University of Melbourne, Australia
Taught the systems stream, covering signals, systems and mathematical modelling, to large biomedical engineering cohorts.
- 2020–2023
Workshop demonstrator, Circuits and Systems (BMEN30006)
The University of Melbourne, Australia
Hands-on workshops for several hundred students over four years, including the move to remote teaching during COVID-19.
Contact
Email is the best way to reach me.
Biothermal Engineering Laboratory, Department of Mechanical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan