E2026 - Arcelor Mittal - M Robin - Optimiser la charge dans les camions miniers
Programme: Accélération Québec (MITACS et gouvernement provincial)
Organisme(s) subventionnaire(s): MITACS Inc.
Type de financement: Subvention
Établissement tête: Université Laval
Du 9 juin 2026 au 8 avril 2027

Applying Machine Learning Methods to Sustainable Mining
Programme: Bourse de recherche Mitacs Globalink
Organisme(s) subventionnaire(s): MITACS Inc.
Type de financement: Subvention
Établissement tête: Université Laval
Du 25 mai 2026 au 17 octobre 2026

Data-Driven and Transferable Modeling for Mine Truck Haulage : From Manned to Unmanned
Programme: Supplément Tremplin vers la découverte
Organisme(s) subventionnaire(s): Conseil de recherches en sciences naturelles et génie Canada
Type de financement: Subvention
Établissement tête: Université Laval
Du 1 avril 2026 au 31 mars 2031

Data-Driven and Transferable Modeling for Mine Truck Haulage: From Manned to Unmanned
Programme: Subventions à la découverte SD (individuelles et d'équipe)
Organisme(s) subventionnaire(s): Conseil de recherches en sciences naturelles et génie Canada, Université Laval - Fonds internes
Type de financement: Subvention
Établissement tête: Université Laval
Du 1 avril 2026 au 31 mars 2031

Modélisation efficace en données pour la prévision et l'optimisation de la productivité des camions miniers
Programme: Établissement de la relève professorale
Organisme(s) subventionnaire(s): Fonds de recherche du Québec - Nature et technologies
Type de financement: Subvention
Établissement tête: Université Laval
Du 1 avril 2026 au 31 mars 2028

Financements des 2 dernières années

Selective precipitation development for Next Generation Battery Materials
Organisme(s) subventionnaire(s): Conseil national de recherches du Canada
Type de financement: Contrat
Établissement tête: Université Laval
Du 1 janvier 2025 au 30 avril 2026

Brandon Wilson, Maîtrise en génie des mines - avec mémoire

Cristian Andres Florez Vergara, Doctorat en génie des mines

Rais Lenzo Seki, Doctorat en génie des mines

Publications des 5 dernières années

Geochemical dynamics and predictive modeling of water-rock interaction during geothermal reinjection in coal mine gobs Geothermics, 2026/11. Yuanyuan Jiang, Xincheng Hu, Jiawen Cai, Guangping Huang, Zhaoyang Yu, Chengkai Fan, Shengqiang Yang. DOI 10.1016/j.geothermics.2026.103768

Excavation-induced damage mechanisms of gently inclined layered shale: Insights from physical model tests and DEM simulations Engineering Failure Analysis, 2026/11. Binke Chen, Chengkai Fan, Bowen Zeng, Junhao Bu, Yonggang Zhang, Zheng Liu. DOI 10.1016/j.engfailanal.2026.111356

Impact of Dry–Wet Cycles on the Strength Characteristics of Phosphogypsum-Based Composite Stabilized Laterite Soils Transportation Research Record: Journal of the Transportation Research Board, 2026/08/16. Kai Huang, Ying Sun, Bin Xu, Xianzeng Shi, Guanqun Sheng, Chengkai Fan. DOI 10.1177/03611981261468739

Nature-inspired ML for strength estimation and multi-objective optimization of cement-supplementary material-stabilized soft soils Automation in Construction, 2026/05. Chikezie Chimere Onyekwena, Yunli Li, Chengkai Fan, Samuel J. Abbey, Wen-Ping Wu, Zhen-Song Chen. DOI 10.1016/j.autcon.2026.106880

Optimizing the layout of geothermal energy piles to minimize ground temperature changes Energy and Buildings, 2025/12. Kourosh Gholami, Yunting Guo, Chengkai Fan, Wei Victor Liu. DOI 10.1016/j.enbuild.2025.116569

Characterization of engineering properties in stabilized expansive soil: Integrating experimental investigation and machine learning modeling Construction and Building Materials, 2025/07. Kai Huang, Zhenhua Zhang, Ying Sun, Xianzeng Shi, Can Wang, Shulan Guo, Chengkai Fan. DOI 10.1016/j.conbuildmat.2025.141960

Rapid Estimation of Truck Cycle Time in Open-Pit Mine Haulage Based on Feature-Optimized Machine Learning Mining, Metallurgy & Exploration, 2025/04. Chengkai Fan, Na Zhang, Bei Jiang, Wei Victor Liu. DOI 10.1007/s42461-025-01225-0

Machine learning with SHapley additive exPlanations for evaluating mine truck productivity under real-site weather conditions at varying temporal resolutions International Journal of Mining, Reclamation and Environment, 2024/11/25. Chengkai Fan, Chathuranga Balasooriya Arachchilage, Na Zhang, Bei Jiang, Wei Victor Liu. DOI 10.1080/17480930.2024.2348877

Hybrid extreme gradient boosting regressor models for the multi-objective mixture design optimization of cementitious mixtures incorporating mine tailings as fine aggregates Cement and Concrete Composites, 2024/11. Chathuranga Balasooriya Arachchilage, Guangping Huang, Jian Zhao, Chengkai Fan, Wei Victor Liu. DOI 10.1016/j.cemconcomp.2024.105787

Machine learning-assisted characterization of the thermal conductivity of cement-based grouts for borehole heat exchangers Construction and Building Materials, 2024/10. Jian Zhao, Chengkai Fan, Guangping Huang, Yunting Guo, Chathuranga Balasooriya Arachchilage, Rajender Gupta, Wei Victor Liu. DOI 10.1016/j.conbuildmat.2024.138506

Deep Neural Network Models for Improving Truck Productivity Prediction in Open-pit Mines Mining, Metallurgy & Exploration, 2024/04. Omer Faruk Ugurlu, Chengkai Fan, Bei Jiang, Wei Victor Liu. DOI 10.1007/s42461-024-00924-4

Using deep neural networks coupled with principal component analysis for ore production forecasting at open-pit mines Journal of Rock Mechanics and Geotechnical Engineering, 2024/03. Chengkai Fan, Na Zhang, Bei Jiang, Wei Victor Liu. DOI 10.1016/j.jrmge.2023.06.005

Forecasting unconfined compressive strength of calcium sulfoaluminate cement mixtures using ensemble machine learning techniques integrated with shapely-additive explanations Construction and Building Materials, 2023/12. Chathuranga Balasooriya Arachchilage, Guangping Huang, Chengkai Fan, Wei Victor Liu. DOI 10.1016/j.conbuildmat.2023.134083

A machine learning model to predict unconfined compressive strength of alkali-activated slag-based cemented paste backfill Journal of Rock Mechanics and Geotechnical Engineering, 2023/11. Chathuranga Balasooriya Arachchilage, Chengkai Fan, Jian Zhao, Guangping Huang, Wei Victor Liu. DOI 10.1016/j.jrmge.2022.12.009

Effects of site operating conditions on real site TKPH (tonne-kilometer-per-hour) of ultra-large off-the-road tires Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2023/04/03. Shaosen Ma, Chengkai Fan, Wei Victor Liu. DOI 10.1177/09544070231166166

Weighted ensembles of artificial neural networks based on Gaussian mixture modeling for truck productivity prediction at open-pit mines Mining, Metallurgy & Exploration, 2023/04. Chengkai Fan, Na Zhang, Bei Jiang, Wei Victor Liu. DOI 10.1007/s42461-023-00747-9

Preprocessing large datasets using Gaussian mixture modelling to improve prediction accuracy of truck productivity at mine sites Archives of Mining Sciences, 2022/12/27. Chengkai Fan, Na Zhang, Bei Jiang, Wei Victor Liu. DOI 10.24425/AMS.2022.143680

Prediction of truck productivity at mine sites using tree-based ensemble models combined with Gaussian mixture modelling International Journal of Mining, Reclamation and Environment, 2022/11/03. Chengkai Fan, Chengkai Fan, Na Zhang, Bei Jiang, Wei Victor Liu. DOI 10.1080/17480930.2022.2142425

Strain characteristics and permeability evolution of faults under stress disturbance monitoring by fibre bragg grating sensing and pressure pulses Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2021/11. Lifeng Xu, Qi Li, Simon A. Mathias, Yongsheng Tan, Duoxing Yang, Chengkai Fan. DOI 10.1007/s40948-021-00289-8