个人简介

冯宇，新葡的京集团8814副教授、博士生导师，加拿大多伦多大学博士，挪威岩土工程研究所、南方科技大学-ETH Zurich Risks-X研究院博士后研究员。主要研究深地能源系统模拟、不确定性量化和大数据分析，在国内外权威学术期刊累计发表论文40余篇。担任中国岩石力学与工程学会兼职副秘书长、中国岩石力学与工程学会工程地质力学分会理事、国际土力学与岩土工程学会 (ISSMGE) 机器学习与大数据委员会TC309和风险评估与技术管理委员会TC304通讯委员，国际岩土工程机器学习发展理事会 (FOMLIG Council) 青年委员以及学术期刊《Rock Mechanics Bulletin》、《Intelligent Geoengineering》和《Green and Smart Mining Engineering》的青年编委等。

团队长期招聘硕士博士研究生、博士后及访问学生，开展低碳能源领域（如碳封存、地热开采和海上风电）的地下过程不确定性量化、风险评估及数据融合方面的研究工作，部分研究生课题将与NGI和ETH Zurich合作开展，支持优秀学生出国交流访问，欢迎具有固体地球物理学、土木/岩土工程、地质/矿业工程、计算力学、统计与数据科学等相关背景的优秀学生和学者们来信咨询或建立合作联系。

研究兴趣

  • 二氧化碳地质封存风险评估
  • 诱发地震预测与风险管控
  • 地应力场贝叶斯反演
  • 海洋岩土不确定性量化
  • 数据融合与数据同化、随机过程建模、贝叶斯机器学习

教育背景

  • 2016.09–2021.03    博士｜加拿大多伦多大学/新葡的京集团8814
  • 2013.09–2016.01    硕士｜北京科技大学/土木与环境工程学院
  • 2009.09–2013.06    学士｜北京科技大学/土木与环境工程学院

工作经历

  • 2024.01–至今          副教授｜新葡的京集团8814/新葡的京集团8814
  • 2022.09–2024.01    博士后｜挪威岩土工程研究所/海洋能源部门
  • 2021.04–2022.09    博士后｜南方科技大学/Risks-X风险研究院

教学活动

  • 机器学习在土木工程中的应用（研究生课程）

科研项目

  • 2022.04–2024.04  深圳市优秀科技创新人才培养项目(博士启动)，基于贝叶斯统计方法的地应力估计不确定性的量化和改善，主持
  • 2022.03–2023.12  欧洲海上风电行业联合研究项目，基于CPT的海上风电场土体参数贝叶斯表征方法研究，技术负责人
  • 2021.10–2024.12  欧盟"地平线2020"ERA-NET项目，应力历史与储层压力对CO2封存泄漏风险的影响机制及改进量化方法研究，参与
  • 2021.08–2026.08  广东省海外博士后人才支持项目，基于贝叶斯多源数据融合方法的深部地应力估计改善及不确定性量化，主持

学术兼职

  • 期刊Rock Mechanics Bulletin，青年编委
  • 期刊Green and Smart Mining Engineering，青年编委
  • 期刊Intelligent Geoengineering，青年编委
  • 中国岩石力学与工程学会/国际事务秘书处，兼职副秘书长
  • 中国岩石力学与工程学会/工程地质力学分会，理事
  • 中国岩石力学与工程学会/青年工作委员会，委员
  • 国际岩土工程机器学习发展理事会 (FOMLIG Council)，青年委员
  • 国际岩土工程安全学会 (GEOSNet)，委员
  • 国际地质灾害与减灾协会（ICGdR）标准化专委会，委员
  • 国际土力学与岩土工程学会 (ISSMGE)/机器学习与大数据委员会 (TC309)，通讯委员
  • 国际土力学与岩土工程学会 (ISSMGE)/风险评估与技术管理委员会 (TC304)，通讯委员
  • 中国土木工程学会/工程风险与保险研究分会，青年委员

期刊论文

  1. Shi, Y., Zhang, Z.*, Xue, C., & Feng, Y. (2024). Machine learning prediction of co-seismic landslide with distance and azimuth instead of peak ground acceleration. Sustainability, 16(19):8332.
  2. Cai, W., Gao, K.*, Qiao, Y., Ai, S., & Feng, Y. (2024). A 2D continuous-discontinuous unified pore-fracture seepage model for hydro-mechanical coupling in the combined finite-discrete element method (FDEM) using node binding scheme. Computers and Geotechnics, 173, 106517.
  3. Li, N., Zou, G.*, Feng, Y., & Ali, L. (2024). Probabilistic prediction of floating offshore wind turbine platform motions via uncertainty quantification and information integration. Journal of Marine Science and Engineering, 12(6): 886.
  4. Bozorgzadeh, N.*, & Feng, Y. (2024). Evaluation structures for machine learning models in geotechnical engineering. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards,18(1), 52-59. 
  5. Yang, G., Zhu, Q., Wang, D., Feng, Y., Chen, X., & Li, Q. (2024). Method and Validation of Coal Mine Gas Concentration Prediction by Integrating PSO Algorithm and LSTM Network. Processes, 12(5), 898.
  6. Huang, W., Gao, K., & Feng, Y. (2024). Predicting stick-slips in sheared granular fault using machine learning optimized dense fault dynamics data. Journal of Marine Science and Engineering, 12(2), 246.
  7. Feng, Y.*, Gao, K., & Lacasse, S. (2024). Bayesian partial pooling to reduce uncertainty in overcoring rock stress estimation. Journal of Rock Mechanics and Geotechnical Engineering, 16(4), 1192-1201.
  8. Li, J.*, Mignan, A., Sornette, D., & Feng, Y. (2023). Predicting the future performance of the planned seismic network in Chinese mainland. Seismological Research Letters, 94(6), 2698-2711.
  9. Feng, Y.*, Mignan, A., & Sornette, D. (2022). Investigating injection pressure as a predictor to enhance real-time forecasting of fluid-induced seismicity: A Bayesian model comparison. Seismological Research Letters, 94(2A), 708-719.
  10. Li, X., Gao, K.*, Feng, Y., & Zhang, C. (2022). 3D geomechanical modeling of the Xianshuihe fault zone, SE Tibetan Plateau: Implications for seismic hazard assessment. Tectonophysics, 839, 229546.
  11. Wu, S., Gao, K.*, Feng, Y.*, & Huang, X. (2022). Influence of slip and permeability of bedding interface on hydraulic fracturing: A numerical study using combined finite-discrete element method. Computers and Geotechnics, 148, 104801.
  12. Feng, Y.*, Mignan, A., Sornette, D., & Li, J. (2022). Hierarchical Bayesian modeling for improved high-resolution mapping of the completeness magnitude of earthquake catalogs. Seismological Research Letters, 93(4), 2126–2137.
  13. Feng, Y., Gao, K.*, Mignan, A., & Li, J. (2021). Improving local mean stress estimation using Bayesian hierarchical modelling. International Journal of Rock Mechanics and Mining Sciences, 148, 104924.
  14. Li, J.*, Böse, M., Feng, Y., & Yang, C. (2021). Real-time characterization of finite rupture and its implication for earthquake early warning: application of FinDer to existing and planned stations in Southwest China. Frontiers in Earth Science, 9, 699560.
  15. Yu, Z., Wen, J.*, Zhu, Q., Ma, H., & Feng, Y. (2021). A combined denoising method for microseismic signals from coal seam hydraulic fracturing: multithreshold wavelet packet transform and improved Hilbert-Huang transform. Shock and Vibration, 2021, 1-15.
  16. Feng, Y.*, Harrison, J. P., & Bozorgzadeh, N. (2021). A Bayesian approach for uncertainty quantification in overcoring stress estimation. Rock Mechanics and Rock Engineering, 54, 627-645.
  17. Feng, Y.*, Bozorgzadeh, N., & Harrison, J. P. (2020). Bayesian analysis for uncertainty quantification of in situ stress data. International Journal of Rock Mechanics and Mining Sciences, 134, 104381.
  18. Feng, Y.*, Harrison, J. P., & Bozorgzadeh, N. (2019). Uncertainty in in situ stress estimations: a statistical simulation to study the effect of numbers of stress measurements. Rock Mechanics and Rock Engineering, 52(12), 5071-5084.
  19. Zhu, Q.*, Li, Q., Feng, Y., Heng, X., Li, S., & Yang, T. (2018). An experimental investigation on the relationship between MS frequency response and coal and gas outburst. Shock and Vibration, 1-13.
  20. Zhu, S., Feng, Y.*, Jiang, F., & Liu, J. (2018). Mechanism and risk assessment of overall-instability-induced rockbursts in deep island longwall panels. International Journal of Rock Mechanics and Mining Sciences, 106, 342-349. 
  21. Zhu, Q.*,1, Feng, Y.1, Cai, M., Liu, J., & Wang, H. (2017). Interpretation of the extent of hydraulic fracturing for rockburst prevention using microseismic monitoring data. Journal of Natural Gas Science and Engineering, 38, 107-119.
  22. Zhu, S., Feng, Y.*, & Jiang, F. (2016). Determination of abutment pressure in coal mines with extremely thick alluvium stratum: a typical kind of rockburst mines in China. Rock Mechanics and Rock Engineering, 49(5), 1943–1952.
  23. Wang, J. C.*, Jiang, F. X., Meng, X. J., Wang, X. Y., Zhu, S. T., & Feng, Y. (2016). Mechanism of rock burst occurrence in specially thick coal seam with rock parting. Rock Mechanics and Rock Engineering, 49(5), 1953-1965.

 

最后更新：2024/11/15