By Dr Ruiyu Liang

Book Chapters

Sepasgozar SME; Ahmad Khan A; Shirowzhan S; Garzon Romero JS; Pettit C; Zhang C; Oh J; Liang R, 2024, 'Immersive virtual environments and digital twin applications for education and training: Trends in construction, mining, and urban planning studies', in Digital Twin Adoption and BIM-GIS Implementation, Routledge, London, pp. 66 - 109, http://dx.doi.org/10.1201/9781003507000-5

Journal articles

Liang R; Huang C; Zhang C; Li B; Saydam S; Canbulat I, 2024, 'Data Diagram Design and Data Management for Visualisation and Analytics Fusion in The Mining Industry', Engineered Science, 32, http://dx.doi.org/10.30919/es1036

Liang R; Zhang C; Li B; Saydam S; Canbulat I; Munsamy L, 2024, 'Data-driven visual model development and 3D visual analytics framework for underground mining', Tunnelling and Underground Space Technology, 153, http://dx.doi.org/10.1016/j.tust.2024.106054

Liang R; Zhang C; Huang C; Li B; Saydam S; Canbulat I; Munsamy L, 2024, 'Multimodal data fusion for geo-hazard prediction in underground mining operation', Computers and Industrial Engineering, 193, http://dx.doi.org/10.1016/j.cie.2024.110268

Xu S; Ma J; Liang R; Zhang C; Li B; Saydam S; Canbulat I, 2023, 'Intelligent recognition of drill cores and automatic RQD analytics based on deep learning', Acta Geotechnica, 18, pp. 6027 - 6050, http://dx.doi.org/10.1007/s11440-023-02011-2

Liang R; Huang C; Zhang C; Li B; Saydam S; Canbulat I, 2023, 'Exploring the Fusion Potentials of Data Visualization and Data Analytics in the Process of Mining Digitalization', IEEE Access, 11, pp. 40608 - 40628, http://dx.doi.org/10.1109/ACCESS.2023.3267813

Preprints

Xu H; Zlatanova S; Liang R; Canbulat I, 2025, Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning, http://dx.doi.org/10.48550/arxiv.2506.02485

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