李传奇，男，汉族，内蒙古赤峰人，博士，中南大学资源与安全工程学院，特聘副教授。本硕毕业于中南大学，博士毕业于法国格勒诺布尔-阿尔卑斯大学（获国家留学基金委资助（2021），导师Daniel DIAS教授）。主要开展以计算机视觉、机器学习及深度学习为主要研究手段的深部岩体结构表征、采空区智能防控、灾害风险预测、极端条件下工程地质灾害超前预报及边坡稳定性、桩基性能及隧道抗震等方面工作。深度参与国家自然科学基金 3 项、国家重点研发项目 1 项。

先后在Int. J. Min. Sci.Technol.,Tunn. Undergr. Sp. Tech., Int. J Rock. Mech. Min. Sci., Eng. Comput., Rock.Mech. Rock. Eng.和Undergr. Spac等国内外知名期刊上发表SCI论文60余篇，以第一或通讯作者发表SCI论文40篇，其中9篇发表于矿业及岩土工程或人工智能领域顶级期刊（International Journal of Rock Mechanics and Mining Sciences、Rock Mechanics and Rock Engineering、Geoscience Frontiers、International Journal of Mining Science and Technology、Tunnelling and Underground Space Technology、Engineering Structures、Applied Soft Computing（交叉）、Engineering with computers（交叉）），11篇入选ESI高被引论文(1%)，3篇入选ESI热点论文(0.1%)，部分研究成果得到多位领域内专家的连续引用和正面评价。受邀担任GeoEnergy Communications 首届青年编委、Applied Sciences、Information等期刊客座编辑、Int. J. Min. Sci.Technol.,Tunn. Undergr. Sp. Tech., Int. J Rock. Mech. Min. Sci., Eng. Comput., Rock.Mech. Rock. Eng.和Undergr. Spac等50余种期刊审稿人。

代表性论文（*代表通讯作者）

[1].Li, C.Q., Zhou, J., Du, K., & Tao, M. Enhanced discontinuity characterization in hard rock pillars using point cloud completion and DBSCAN clustering[J].  International Journal of Rock Mechanics and Mining Sciences, 2025, 186, 106005. (中科院/JCR 1区, TOP期刊)

[2].Li, C.Q., Zhou, J. Use of a Novel Description Method in Characterization of Traces on Hard Rock Pillar Surfaces[J].  Rock Mechanics and Rock Engineering, 2024, 1-22. https://doi.org/10.1007/s00603-024-04312-8. (中科院2区/JCR 1区, TOP期刊)

[3].Li C.Q., Zhou J., Dias D. Utilizing semantic-level computer vision for fracture trace characterization of hard rock pillars in underground space[J]. Geoscience Frontiers, 2024, 15(2): 101769. (中科院/JCR 1区, TOP期刊)

[4].Li C.Q., Zhou J., Du K., Dias D. Stability prediction of hard rock pillar using support vector machine optimized by three metaheuristic algorithms[J]. International Journal of Mining Science and Technology, 2023, 33(8): 1019-1036. (中科院/JCR 1区, TOP期刊)

[5].Li C.Q., Zhou J., Armaghani D. J., Li X.B. Stability analysis of underground mine hard rock pillars via combination of finite difference methods, neural networks, and Monte Carlo simulation techniques[J]. Underground Space, 2021, 6(4): 379-395. (中科院/JCR 1区) ESI高被引论文, Editor choice

[6].Li C.Q., Zhou J., Armaghani D. J., Cao W.Z., Yagiz, S. Stochastic assessment of hard rock pillar stability based on the geological strength index system[J]. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2021, 7:1-24. (中科院2区/JCR 1区)

[7].Li C.Q.*, Mei X.C., Zhang J.M. Application of supervised random forest paradigms based on optimization and post-hoc explanation in underground stope stability prediction[J]. Applied Soft Computing, 2024, 154: 111388. (中科院/JCR 1区, TOP期刊)

[8].Li C.Q.*, Dias D. Intelligent prediction and visual optimization of surface settlement induced by earth pressure balance shield tunneling[J]. Tunnelling and Underground Space Technology, 2024, 154: 106138. (中科院/JCR 1区, TOP期刊)

[9].Li C.Q.*, Zhang J.M., Mei X.C., Zhou J. Supervised intelligent prediction of shear strength of rockfill materials based on data driven and a case study[J]. Transportation Geotechnics, 2024, 45: 101229. (中科院2区/JCR 1区)

[10].Li C.Q., Zhou J., Du K., Armaghani D. J., Huang S. Prediction of flyrock distance in surface mining using a novel hybrid model of harris hawks optimization with multi-strategies-based support vector regression[J]. Natural Resources Research, 2023, 32(6): 2995-3023. (中科院2区/JCR 1区)

[11].Li C.Q., Zhou J., Khandelwal M., Zhang X.L., Monjezi M., Qiu Y.G. Six novel hybrid extreme learning machine–swarm intelligence optimization (ELM–SIO) models for predicting backbreak in open-pit blasting[J]. Natural Resources Research, 2022, 31(5): 3017-3039. (中科院2区/JCR 1区)

[12].Li C.Q.*, Mei X.C. Application of SVR models built with AOA and Chaos mapping for predicting tunnel crown displacement induced by blasting excavation[J]. Applied Soft Computing, 2023, 147: 110808. (中科院/JCR 1区, TOP期刊)

[13].Li C.Q., Zaheri, M., Ranjbarnia, M., Dias, D. Calculating of the tunnel face deformations reinforced by longitudinal fiberglass dowels: from analytical method to artificial intelligence[J].  Transportation Geotechnics, 2023, 43: 101152. (中科院2区/JCR 1区)

[14].Zhang J., Zhang T., Li C.Q.*. Migration time prediction and assessment of toxic fumes under forced ventilation in underground mines[J]. Underground Space, 2024, 18: 273-294. (中科院/JCR 1区)

[15].Li J.Z., Li C.Q.*, Zhang S.H. Application of Six Metaheuristic Optimization Algorithms and Random Forest in the uniaxial compressive strength of rock prediction[J]. Applied Soft Computing, 2022, 131: 109729. (中科院/JCR 1区, TOP期刊)

[16].Zhang J.M., Dias D., Li C.Q.*. Performance evaluation of a single footing over rigid inclusions-reinforced soft soil-use of a novel LWSO-RF model to predict load transfer efficiency[J]. Engineering Structures, 2023, 292: 116556. (中科院1区/JCR 1区, TOP期刊)

[17].Zhou, J., Liu, Z.J., Li, C.Q.*, Du, K., & Yang, H.Q. Cutting-edge approaches to specific energy prediction in TBM disc cutters: Integrating COSSA-RF model with three interpretative techniques[J]. Underground Space, 2025. https://doi.org/10.1016/j.undsp.2024.11.004. (中科院/JCR 1区)

[18].Zhou J., Li C.Q., Koopialipoor M., Jahed Armaghani D., Thai Pham B. Development of a new methodology for estimating the amount of PPV in surface mines based on prediction and probabilistic models (GEP-MC)[J]. International Journal of Mining, Reclamation and Environment, 2021, 35(1): 48-68. (中科院3区/JCR 2区) ESI高被引论文

[19].Zhou J., Li C.Q., Arslan C. A., Hasanipanah M., Bakhshandeh Amnieh H. Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting[J]. Engineering with computers, 2021, 37(1): 265-274. (中科院2区/JCR 1区, TOP期刊) ESI高被引和热点论文

[20].Zhou J., Zhang Y.L., Li C.Q., He H.N., Li X.B. Rockburst prediction and prevention in underground space excavation[J]. Underground Space, 2024, 14: 70-98. (中科院/JCR 1区) ESI高被引论文