Associate Professor, College of Civil Engineering, Fuzhou University, China, 2023-present

Assistant Professor, College of Civil Engineering, Fuzhou University, China, December, 2019 – September, 2023

Advanced Hydraulic Structures, Fuzhou University, China

Programming of Finite Element and Boundary Element Methods, Fuzhou University, China

Selected Topics on Numerical Methods for Hydraulic Structures, Fuzhou University, China

[1] 2024 Second Prize of Fujian Provincial Science and Technology Progress Award, “Key Technologies for Intelligent Diagnosis and Real-Time Early Warning of Long-Term Service Safety of Dams in Coastal Hilly Regions”, ranking 1st.

[2] 2021 Second Prize of Fujian Provincial Science and Technology Progress Award, “Key technologies and applications of real-time safety monitoring and intelligent early warning for dams based on the BeiDou system”, ranking 4th.

[3] 2021 Second Prize of Fujian Water Conservancy Science and Technology Award, “Safety Warning and Management System Research for Abandoned Slag Disposal Sites in Production Construction Projects”, ranking 9th.

[4] 2022 Second Prize of Fujian Water Conservancy Science and Technology Award, “Research and Application of Intelligent Management System for Rock-fill Concrete Dam Engineering Based on Artificial Intelligence Technology”, ranking 3rd.

[5] 2023 Second Prize of Fujian Water Conservancy Science and Technology Award, “Research on Susceptibility Evaluation and Prediction Technology for Cross-Regional Reservoir Bank Landslides”, ranking 4th.

[6] 2023 Second Prize of Fujian Water Conservancy Science and Technology Award, “Research on Intelligent Monitoring and Safety Evaluation of Pumped Storage Power Plant Slopes under High-Frequency Water Level Fluctuations”, ranking 2nd.

[7] The 15th Fujian Provincial Outstanding Academic Paper Award in Natural Science, Third Prize (First Author).

[8] The paper “Prediction model of dam structure dynamic deformation based on time attention mechanism” was selected in the Academic Abstracts Database of China National Knowledge Infrastructure as a high-impact paper for July-August 2023.

Cutting-edge numerical simulation methods for analyzing the interaction mechanism of hazard chains in geohazard processes such as landslides and debris flows

Coupled dynamic model for multiphase media of debris flows

High-performance computing methods for slope stability analysis

Safety monitoring and intelligent management platform for hydraulic engineering structures

Application of artificial intelligence in safety assurance technologies for hydraulic engineering

[1] National Natural Science Foundation of China (NSFC), Youth Project (Grant No. 52109118), Study on the Influence of Pore Water Pressure on the Evolution Mechanism of Debris Flows and the Effectiveness of Water-Solid Separation Facilities, Principal Investigator.

[2] Natural Science Foundation of Fujian Province, China (Grant No. 2020J05108), Study on the Solid-Liquid Coupling Effect of Rainfall-Induced Landslide Movement Evolution, Principal Investigator.

[3] the Opening Fund of Key Laboratory of Geohazard Prevention of Hilly Mountains, Ministry of Natural Resources, China (Grant No. FJKLGH2025K006), Research on the Mechanism of Debris Flow Paste Formation and Hydrodynamic Processes under Typhoon Rainfall from a Multi-scale Perspective, Principal Investigator.

[4] Scientific Research Startup Fund for Introduction of Talents, Fuzhou University (Grant No. 510890), Study on the Process of Landslide Action in Reservoir Area and Its Secondary Disaster Effects, Principal Investigator.

[5] Technical Service Project: Research and Carbon Benefit Assessment of Ecological Concrete-Geogrid Coordinated Slope Protection Technology in Transmission and Transformation Engineering, Principal Investigator.

[6] Technical Service Project: Specialized Analysis on the Stability of Surrounding Rock in Gutianxi Diversion Works, Fujian Province, Principal Investigator.

[7] National Natural Science Foundation of China General Program (Grant No. 52079032), Research on Flow-Induced Vibration Mechanics and Coupling Mechanism of Subsea Flowlines under Internal and External Excitation Sources, Participant.

[8] Ministry of Economia and Competividad of Spain (Ref. BIA2016-76253-P), Advanced modelling of landslide and slope failure problems, Participant.

[9] Ministry of Economia and Competividad of Spain (Ref. PBM_LANDSLIDE), Multiphysics coupled particle methods: Application to modelling of fast landslides and their effects in water bodies, Participant.

[10] Interamerican Bank of Development, Washinghto, USA and El Salvador, Stochastic modeling of the dangers and risks associated with constructed dams (Ref. Modelización estocástica de la peligrosidad y riesgo inducidos por presas formadas), Participant.

Member, the Hydraulic Rock Mechanics Professional Committee of the Chinese Society of Dam Engineering

Experts in the field of natural resources in Fujian Province.

Expert members of the Fujian Province Hydropower Society.

Member, the China Hydropower Engineering Society.

Member, the China Society of Soil and Water Conservation.

[1] LIN C, PASTOR M, YAGUE A, et al. 2019. A depth-integrated SPH model for debris floods: application to Lo Wai (Hong Kong) debris flood of August 2005[J]. Géotechnique, 69(12): 1035-1055.

[2] LIN C, PASTOR M, LI T, LIU X, LIN C, et al. 2019. A PFE/IE–SPH joint approach to model landslides from initiation to propagation[J]. Computers and Geotechnics, 114: 103153.

[3] LIN C, PASTOR M, LI T, LIU X, QI H, et al. 2019. A SPH two-layer depth-integrated model for landslide-generated waves in reservoirs: application to Halaowo in Jinsha River (China)[J]. Landslides, 16(11): 2167-2185.

[4] LIN C, WANG X, PASTOR M, et al. 2021. Application of a Hybrid SPH-Boussinesq model to predict the lifecycle of landslide-generated waves[J]. Ocean Engineering, 223: 108658.

[5] LIN C, WANG X, SU Y, et al. 2022. Deformation Forecasting of Pulp-Masonry Arch Dams via a Hybrid Model Based on CEEMDAN Considering the Lag of Influencing Factors[J]. Journal of Structural Engineering, 148(7): 04022078.

[6] LIN C, WENG K, LIN Y, et al. 2022. Time Series Prediction of Dam Deformation Using a Hybrid STL–CNN–GRU Model Based on Sparrow Search Algorithm Optimization[J]. Applied Sciences, 12(23): 11951.

[7] LIN C, Zou Y, Lai X, Wang X, Su Y. Variation Trend Prediction of Dam Displacement in the Short-Term Using a Hybrid Model Based on Clustering Methods. Applied Sciences. 2023 Sep 29;13(19):10827.

[8] LIN C, LIU R F, LIN W W, et al. Underwater dam crack image enhancement and crack detection based on improved diffusion model and SDI-ASF-YOLO11 [J]. Construction and Building Materials, 2025, 492.

[9] SU Y, Fu J, LIN C*, Lai X, Zheng Z, Lin Y, Qiang He. A novel deep learning multi-step prediction model for dam displacement using Chrono-initialized LSTM and sequence-to-sequence framework[J]. Expert Syst. Appl., May, 2025, 271 22.

[10] SU Y, WENG K, LIN C*, ZHENG Z. 2021. An improved random forest model for the prediction of dam displacement[J]. IEEE Access, 9: 9142-9153.

[11] SU Y, WENG K, LIN C*, CHEN Z. 2021. Dam deformation interpretation and prediction based on a long short-term memory model coupled with an attention mechanism[J]. Applied Sciences, 11(14): 6625.

[12] ZHANG T, LIN T, LIN C*, HUANG Y J. 2021. Numerical simulation of extended mild-slope equation including wave breaking effect[J]. Engineering Analysis with Boundary Elements, 128: 42-57.

[13] ZHANG T, LIN Z H, LIN C*, LIANG L, et al. 2021. Numerical Simulation of the Time-Dependent Mild-Slope Equation by the Generalized Finite Difference Method[J]. Pure and Applied Geophysics, 178(11): 4401-4424.

[14] ZHANG T, ZHAN C X, WANG H W, LIN C*, GUO X M. 2021. A meshless artificial viscosity method for wet-dry moving interfaces problems of shallow water flow[J]. Ocean Engineering, 236: 109447.

[15] ZHANG T, ZHAN C xun, CAI B, LIN C*, GUO X M. 2021. An improved meshless artificial viscosity technology combined with local radial point interpolation method for 2D shallow water equations[J]. Engineering Analysis with Boundary Elements, 133: 303-318.

[16]  LIN C, LIN Y, SU Y*, PAN Y, GAO X, Study on SPH method of granular flow motion and landslide fragmentation effect [J]. Journal of Hydroelectric Engineering, 2024, 43 (07): 61-72. (in Chinese)

[17]  LIN C, LIN Y, LIN W*, GUO C, HUANG X, DU Z, PAN Y,Research on the Inversion Method for Characteristic Parameters of Rainfall-Induced Debris Flows and the Efficiency Evaluation of Drainage Screen [J]. Journal of Hydroelectric Engineering, 2025, 44 (02): 1-14. (in Chinese)

[18]  LIN C, WANG X, SU Y, et al. Predictions of concrete dam deformation using clustering method and deep learning [J]. Journal of Hydroelectric Engineering, 2022, 41(10): 112-127. (in Chinese)

[19]  LIN C, GUI X, ZHU L, et al. Deformation prediction model of concrete faced rockfill dams based on factor fusion [J]. Journal of Hydroelectric Engineering, 2023, 2(10): 139-152. (in Chinese)

[20]  LIN C, LI T, Chen J, et al. 2014. Study on the Temperature Field during Construction Period of High Asphalt Concrete Core Wall Stone-filled Dam [J]. China Rural Water Resources and Hydropower (11): 105-108. (in Chinese)

[21]  SU Y, ZHENG Z, LIN C*, et al. Spatiotemporal hybrid model for deformation of mortar masonry dams with time-varying factor [J]. Journal of Hydroelectric Engineering, 2022, 41(11): 124-138. (in Chinese)

[22]  SU Y, HUANG S, LIN C*, et al. Informer-AD dam deformation prediction model integrating multidimensional spatiotemporal information [J]. Journal of Hydroelectric Engineering, 2023, 42(11): 101-113. (in Chinese)

[23] SU Y, FU J, LIN C*, et al. Prediction model of dam structure dynamic deformation based on time attention mechanism [J]. Journal of Hydroelectric Engineering, 2022, 41(7): 72-84. (in Chinese)

[24] LIN C, LIU R F, SU Y, et al. Underwater image enhancement and crack quantification driven by deep learning and transfer learning [J]. Journal of Hydroelectric Engineering,2025, 44(10): 73-84. (in Chinese)

[25] LIN C, LIN Y, LIN W W et al. lnversion method for characteristic parameters ofrainfall-induced debris flows and efficiency evaluation of drainage screen [J]. Joural of Hydroelectric Engineering, 2025, 44(2): 1-14. (in Chinese)