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; Zhang C; Li B; Saydam S; Canbulat I, 2026, 'Evolution of visualisation and digital twin technologies in mining', International Journal of Coal Science and Technology, 13, http://dx.doi.org/10.1007/s40789-026-00866-w

Xu H; Zlatanova S; Gorte B; Lamsal R; Heslop D; Liang R; Canbulat I, 2026, 'A Pilot Study on a GPU-Accelerated Voxel Simulation Framework for 3D Indoor and Urban-Scale Gas Dispersion and Aerosol Transport', ISPRS International Journal of Geo-Information, 15, pp. 405 - 405, http://dx.doi.org/10.3390/ijgi15090405

Xu H; Zlatanova S; Liang R; Canbulat I, 2026, 'Community-oriented Wildfire Planning with Agentic AI: Automated Fire Spread Simulation and Interactive 3D Visualization', ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences, 11, pp. 251 - 258, http://dx.doi.org/10.5194/isprs-annals-XI-4-2026-251-2026

Xu H; Zlatanova S; Liang R; Canbulat I, 2026, 'A Modular Light-weight Voxel-Based 3D Wildfire Propagation Simulator in Python Using LiDAR Data, High-Performance Computing (HPC), and Immersive Scientific Visualization', ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences, 10, pp. 127 - 134, http://dx.doi.org/10.5194/isprs-annals-X-3-W3-2025-127-2026

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', Fire, 8, http://dx.doi.org/10.3390/fire8080293

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

Han Z; Tang X; Xie Y; Liang R; Bao Y, 2024, 'Prediction of heavy-oil combustion emissions with a semi-supervised learning model considering variable operation conditions', Energy, 288, pp. 129782, http://dx.doi.org/10.1016/j.energy.2023.129782

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

Xu S; Liang R; Suorineni FT; Li Y, 2021, 'Evaluation of the use of sublevel open stoping in the mining of moderately dipping medium-thick orebodies', International Journal of Mining Science and Technology, 31, pp. 333 - 346, http://dx.doi.org/10.1016/j.ijmst.2020.12.002

Hou P; Xu S; Liang R; Ji X, 2020, 'Environmental error correction of 3D laser detection for goaf based on BP neural network', Zhongnan Daxue Xuebao Ziran Kexue Ban Journal of Central South University Science and Technology, 51, pp. 758 - 766, http://dx.doi.org/10.11817/j.issn.1672-7207.2020.03.021

Xu S; Hou PY; Liang RY; Du YL, 2019, 'Error Analysis and Correction of 3D Laser Detection Data for High-Humidity and Dusty Goafs', Dongbei Daxue Xuebao Journal of Northeastern University, 40, pp. 1330 - 1336, http://dx.doi.org/10.12068/j.issn.1005-3026.2019.09.020

An L; Wang RD; Hou PY; Liang RY, 2019, 'Caving Mining of Steeply Inclined Narrow Veins and Supporting Mechanism of Caved Rock', Dongbei Daxue Xuebao Journal of Northeastern University, 40, pp. 278 - 283, http://dx.doi.org/10.12068/j.issn.1005-3026.2019.02.024

Preprints

Xu H; Zlatanova S; Gorte B; Lamsal R; Heslop D; Liang R; Canbulat I, 2026, A Pilot Study on a GPU-Accelerated Voxel Simulation Framework for 3D Indoor and Urban-Scale Gas Dispersion and Aerosol Transport, http://dx.doi.org/10.20944/preprints202606.1036.v1

Zlatanova S; Liang R; Canbulat I; Xu H, 2026, An Exploratory Study of Transformer-based Generative AI Surrogate Modeling for 3D Wildfire Spread Simulation in Voxelized City, http://dx.doi.org/10.2139/ssrn.6572079

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

Xu H; Zlatanova S; Liang R; Canbulat I, Heat Transfer–Driven Voxel-Based Simulation: A High-Performance Framework for Urban-Scale 3D Fire Spread, http://dx.doi.org/10.20944/preprints202607.0157.v1

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