Professor Cédric John

Professor and Head of Data Science for the Environment and Sustainability
Email: cedric.john@qmul.ac.ukWebsite: https://www.john-lab.org/
Profile
Research Interests include:
- Use of machine learning, notably neural network, for automatic feature extraction from unstructured geological data (for instance, image recognition of facies in cores)
- Forward modeling of sedimentary processes to constrain the architecture of carbonate systems and the distribution of different facies
- Clumped isotope geochemistry and thermal history of carbonate, notably applied to carbonate diagenesis
- Continental margin sediment and shallow-water carbonates. notably linked to field research
- Climate change and the environment
Research
Publications
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Liu B, AlSalmi H, John CM (2026). CAGEY (CArbonate Grain Estimation with YOLO): Object Detection for Grain Size, Roundness, and Dunham Classification. nameOfConference
QMRO: qmroHref -
AlGharbi WM, Bell RE, John CM (2025). SRT-Ai: Identifying seismic reflection terminations using deep learning. nameOfConference
QMRO: qmroHref -
Baharuddin S, John CM (2025). Using Generative Adversarial Networks to Translate Microresistivity Image Logs of Carbonates Into Synthetic Core Images With Accurate Dunham Textures. nameOfConference
DOI: 10.1029/2024jh000533
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Locher VA, Bell RE, Salah P et al. (2025). Fingerprinting subduction margins using principal component analysis profiles: A data science approach to assessing earthquake hazard. nameOfConference
DOI: 10.1130/g53056.1
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Mamode HI, Hampson GJ, John CM (2025). Do more with less: Exploring semi-supervised learning for geological image classification. nameOfConference
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AlSalmi H, John CM (2025). Enhancing Seismic Imaging with Deep Learning: A Carbonate Atoll Case Study. nameOfConference
QMRO: qmroHref -
AlGharbi W, Bell R, John C (2025). Seismic Reflection Termination Attribute (SRT-Ai): A Deep Learning Approach to Identify Seismic Reflection Terminations in Carbonate Systems. nameOfConference
QMRO: qmroHref -
John CM, Dawson H, Baharuddin S et al. (2025). Sharper, Faster, Smarter: Revolutionizing Carbonate Geology with Computer Vision. nameOfConference
QMRO: qmroHref -
Deo R, John CM, Zhang C et al. (publicationYear). Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef. nameOfConference
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Dawson HL, John CM (2024). Object detection algorithms to identify skeletal components in carbonate cores. nameOfConference