个人简介

俞和胜,教授、博导,2013年6月获得加拿大滑铁卢大学博士学位。2014年获加拿大国际博士后最高荣誉——加拿大国家自然科学基金委员会工业博士后基金(NSERC IRDF)。2017年8月以破格教授身份作为引进人才入职中国矿业大学化工学院。2020年受聘江苏特聘教授,并受邀任江苏省侨联特聘专家、国家自然科学基金、江西省科技厅科技人才项目等评审专家。


主要从事人工智能、能源资源清洁利用、空气污染控制,及废水处理方面的研究。主持“江苏特聘教授”项目、国家自然科学基金面上项目、江苏省“六大人才高峰”高层次人才项目、江苏省“双创博士”项目、徐州市重点研发项目、校企合作项目等创新创业及人才项目。在Environmental Science & Technology、Environment International、AIChE Journal、Carbon、Chemical Engineering Journal、Small、Journal of Materials Chemistry A 等期刊上以第一作者或通讯作者发表SCI论文48篇;影响因子10+以上的论文18篇。发表于《清华大学学报(自然科学版)》关于“双碳战略”的文章被《科技日报》推介。发表于AIChE Journal期刊上的关于氨基CO2捕集的论文被遴选为该刊物2016年度8篇“Editor’s Choice”文章之一。获The 16th International Green Energy Conference (IGEC-XVI) and The 5th International Conference on Energy and AI (ICEAI-V) and Symposium on Chemical Engineering and AI 最佳论文奖及最佳口头报告奖。授权发明专利7件,软件著作权5件。担任著名国际会议执行主席1次;分会主席3次,做国际会议特邀报告3次。获江苏省高等学校科学技术研究成果奖三等奖(R1)。


指导研究生及本科生获获全国高等学校矿物加工实践作品大赛一等奖(2次)、国家奖学金 (3次)、江苏省省级“三好学生”、国家级大创(3项;1项结题优秀,入选国创年会)、“挑战杯”全国大学生课外学术科技作品竞赛江苏省决赛一等奖、第十四届“挑战杯”中国大学生创业计划竞赛江苏省选拔赛终审决赛银奖、江苏大学生创新大赛(2024)高教主赛道二等奖(2项)、全国大学生节能减排社会实践与科技作品大赛三等奖、江苏省第六届大学生水创意设计大赛三等奖、挑战杯创业计划大赛中国矿业大学校决赛金奖、国家励志奖学金(2次)、校级优秀学生称号、小米一等奖学金、首届全国煤炭行业矿山AI模型大赛三等奖(入选决赛15支队伍中唯一的矿加团队)。


课题组每年招收矿物加工、人工智能、矿物材料学术博士/硕士,以及资源与环境专业博士/硕士!

欢迎矿物加工(包括人工智能)、化学、化工、环境科学、环境工程等专业有志于能源资源高效清洁利用、新材料开发及智能化研究的学生报考!

     

论文列表 (*通讯作者共同一作

发表学术论文73篇,其中SCI论文67篇(第一/通讯作者63篇;影响因子10+的论文共计20; JCR 1区论文42篇,JCR 2 18篇);EI论文5篇;中文核心论文1篇(by 2025/12/17)。

环境类代表作:Environmental Science & Technology, Environment International, Journal of Cleaner Production, Separation and Purification Technology, Atmospheric Environment

材料类代表作:Small, Journal of Materials Chemistry A, Carbon, Green Chemistry

人工智能的工程应用: Expert Systems with Applications, Environment International, Applied Energy, Journal of Cleaner Production, Energy, Energy and AI

化工类代表作:AIChE Journal (Editor’s Choice), Chemical Engineering Science, Industrial & Engineering Chemistry Research, Chemical Engineering Journal

    能源矿业类代表作:Applied Energy, Minerals Engineering, Energy Conversion and Management, Energy


73 Zhang, K.F., Xu, L., Wang, T., Cao, H., Yang, L., Nie, Q.Q., Yu, H.S.* (2025)   Multi-scale feature fusion with flotation-aware feature pyramid network for   accurate prediction of ash contents of industrial products. Minerals Engineering, Accept

72 Chai, N., Nie,   Q.Q., Shi, H.Y., Cui, Y.P., Li, W.L., Yang, L., Cao, H., Yu, H.S.* (2025)   Synergistic Acidolysis-Reduction-Precipitation Strategy Driven by Natural   Solvents for Direct Recovery of Transition Metals from Spent Batteries. Green Chemistry, Accept

71 Yang, L.L., Shi, H.Y., Yang, L., Nie, Q.Q., Li, W.L., Yu, H.S.* (2026) DFT study   on hydrogen evolution and storage properties of first-row transition-metal   single-atom catalysts supported on phthalocyanine. Materials Today Energy, 55, 102163.

70 徐亮,张克非,王腾,谢广元,俞和胜*2025)基于机器学习的煤炭可选性曲线绘制及软件开发,煤炭学报Accept

Xu, L., Zhang,   K.F., Wang, T., Xie, G.Y., Yu,   H.S.* (2025) Drawing of   coal washability curves based on machine learning and development of the   drawing application, Journal of China   Coal Society, Accept

69 左霜霜,聂倩倩*,刘波,王腾,崔云佩,杨磊,俞和胜*2025γ-Fe2O3@SiO2/BiOI磁性纳米复合材料制备及其光催化降解黄药研究,复合材料学报Accept

Zuo, S.S., Nie, Q.Q.*, Liu, B., Wang, T., Cui, Y.P., Yang, L., Yu, H.S.* (2025) Preparation   of γ-Fe2O3@SiO2/BiOI magnetic nanocomposites   and its photocatalytic degradation of isobutyl xanthate, Acta Materiae Compositae Sinica, Accept

68 Liu, R., Cui, Y.P., Chai, N., Yang, L., Zhang, X.F., Nie, Q.Q.*,   Yu, H.S.* (2025) Hollow spherical MoO2-C cocatalyst   derived from Mo-polydopamine boosts photocatalytic hydrogen evolution of ZnIn2S4.   International Journal of Hydrogen   Energy, 172, 151329.

67 Zhang, G.Q., Liu, J.Y., Cui, Y.P., Nie, Q.Q.,   Yang, L.*, Yu, H.S.* (2025) Highly Stable and Efficient Recovery of   Nitric Oxide in a Photocatalytic Microreactor Integrated with Wet Scrubber. Chemical Engineering Journal, 520,   166022 (影响因子:13.2)

66 Wang, T., Liu,   J.Y., Shen, M.W., Zhang, K.F., Nie, Q.Q.*, Zhang, X.F., Yu, H.S.* (2025) Exploring   Mechanisms behind Visible-light-driven Photocatalytic Degradation of   Xanthates using DFT Computations and Experiments. Colloids and Surfaces A: Physicochemical and Engineering Aspects,   721, 137186.

65 Shen, M.W., Wang, T., Wang, Y.W., Li, Z.Y., Liu, J.Y., Jin, K., Yu, H.S.* (2025) Synergy of   bismuth and tungsten in Bi2WO6 for PMS activation to   enhance degradation of ammonium dibutyl dithiophosphate in flotation   wastewater. Journal of Water Process   Engineering, 74, 107845.

64 Zhang, Y., Cui, Y.P., Wang, T., Xie, J.W., Liu, J.Y.,   Zhang, X.F., Nie, Q.Q.*, Yu, H.S.* (2025) Visible-light-driven photocatalytic   degradation of xanthate in flotation by g-C3N4/ZnIn2S4   heterojunction: Experimental and DFT studies. Langmuir, 41, 18, 11592–11603.

63 刘波,聂倩倩*,左霜霜,崔云佩,谢广元,刘嘉友,俞和胜* 2025天然磁赤铁矿赋磁的Bi2WO6材料制备及其光催化降解异丁基黄药的研究,中国环境科学45(10), 5459-5470.

Liu, B., Nie, Q.Q., Zuo, S.S., Cui, Y.P., Xie,   G.Y., Liu, J.Y., Yu, H.S.* (2025) Magnetization of Bi2WO6   composite by Using Natural Maghemite and Its Application in Photocatalytic Degradation   of Isobutyl Xanthate. China   Environmental Science, 45(10), 5459-5470.

62 Liu, M.T.,   Wang, M.D., Zhang, K.F., Yu, H.S.* (2025) Simulation   of synthesizing carbon nanotubes by catalytic chemical vapor deposition in a   fluidized bed using a CFD-PBM model. Powder   Technology, 457, 120927.

61 Liu, R., Cui, Y.P.,  Wang, T., Liu, J.Y., Liu, B., Zuo, S.S., Yu, H.S.* (2025) A localized   surface plasmon resonance effect boosts photocatalytic hydrogen evolution of   ZnIn2S4/amorphous MoO3-x nanodot Z-scheme   heterojunctions. Journal of Materials   Chemistry A, 13, 8144-8156.

60 倪超,栾建傅,刘嘉友,王腾,张克非,俞和胜* 2025NM/BiOBr复合材料制备及其光催化降解黄药研究. 中国矿业大学学报 54, 904-920.

Ni, C., Luan, J.F.,   Liu, J.Y., Wang, T., Zhang, K.F., Yu, H.S.* (2025) Preparation of NM/BiOBr   composite materials and their photocatalytic degradation of xanthate. Journal of China University of Mining and   Technology, 54, 904-920.

59 Zhang, G.Q., Liu, J.Y., Cui, Y.P., Tan, Z.C.*, Yu, H.S.*   (2025) Experimental and modeling study of photoreactor packed with   GQDs/BiOCl-coated glass beads for enhancing NO removal. Industrial & Engineering Chemistry Research, 64, 3217-3231 (化工三大期刊之一).

58 Zhang, K.F., Wang,   T., Xu, L., Yang, L., Thé, J., Yu, H.S.* (2025) CG-SOLOv2: Enhanced   instance segmentation for coal-gangue with novel feature extraction and   fusion modules. Powder Technology,   452, 120558.

57 Zhang, K.F., Wang, T., Xu, L., Thé, J., Tan, Z.C., Yu, H.S.*   (2025) Accurate foreign object detection for the coal preparation   industry based on computer vision and deep learning algorithms. International Journal of Coal Preparation   and Utilization, 45 (11), 2708-2733.

56 Yang, X.L., Zhang,   K.F., Wang, T., Xie, G.Y., Thé, J., Tan, Z.C., Yu, H.S.* (2025) Multi-scale   multi-task neural network combined with transfer learning for accurate   determination of the ash content of industrial coal flotation concentrate. Minerals Engineering, 220, 109093.

55 Yang, X.L., Zhang, K.F., Thé, J., Tan, Z.C., Yu, H.S.* (2025) Multi-scale   neural network for accurate determination of the ash content of coal   flotation concentrate using froth images. Expert Systems with Applications, 262, 125614.

54 Huang, Y.Q., Chen,   Q., Li, Y.F., Li, X.G., Yu, H.S.*, Tan, Z.C.* (2025) Multi-scale modeling of fog harvesting using   thin-fiber grids – Towards new design rubrics. Separation and Purification Technology, 354, 129137.

53 Nie, Q.Q., Wang, M.D., Xie, G.Y., Tan,   Z.C.*, Yu, H.S.* (2024) CFD modeling of H2S removal from liquid   sulfur in a pilot-scale gas-liquid contactor. Process Safety and Environmental Protection, 189, 1246-1257.

52 Zhang, K.F., Wang,   T., Yang, X.L., Xu, L., Thé, J., Tan, Z.C., Yu, H.S.* (2024) STATNet:   One-stage coal-gangue detector based on deep learning algorithm for real   industrial application. Energy and AI,   17, 100388.

51 Wang, T., Yang, X.L., Zhang, K.F., Cao, H., Tan, Z.C.*, Yu, H.S.* (2024) COFNet: A   Deep Learning Model to Predict the Specific Surface Area of Covalent-Organic   Frameworks Using Structural Images and Statistic Features. Chemical Physics Letters, 847, 141383.

50 Nie, Q.Q., Jia, L.H., Cui, Y.P., Luan,   J.F., Liu, J.Y., Tan, Z.C.*, Yu,   H.S.* (2024) Enhancing   Visible-Light-Driven Photocatalytic Degradation of Nitric Oxide with   Lignite-Derived Graphene Quantum Dots/BiOBr Heterojunctions. Separation and Purification Technology,   343, 127118.

49 Luan, J.F., Liu, J.Y., Huang, X.X., Tan, Z.C.*, Yu, H.S.* (2024)   Experimental and computational study on removal of nitric oxide using NH2-MIL-125:   Revisiting removal mechanism. Molecular   Catalysis, 554, 113856.

48 Huang, Y.Q., Li, Y.F., Zhang, Y., Yu, H.S.*, Tan, Z.C.*   (2024) Near-field Electrospinning for 2D and 3D Structuring: Fundamentals,   Methods, and Applications. Materials   Today Advances, 21, 100461. (影响因子:10.0)

47 Nie, Q.Q., Liu, L.F., Liu, J.Y., Shen,   M.W., Huang, X.X., Tan, Z.C.*, Yu, H.S.* (2024)   Photodegradation of xanthate using Bi2Fe4O9/ZnIn2S4   heterojunction: Experimental and DFT studies. Industrial & Engineering Chemistry Research, 63, 1, 184–199 (化工三大期刊之一).

46 Nie, Q.Q., Jia, L.H., Luan, J.F., Cui,   Y.P., Liu, J.Y., Tan, Z.C.*, Yu, H.S.* (2024) Graphene   quantum dots/BiOCl visible-light active photocatalyst for degradation of NO. Chemical Engineering Science, 285,   119614. (化工三大期刊之一)

45 Zhang, G.Q., Liu,   J.Y., Tan, Z.C.*, Yu, H.S.* (2024)   Multivariate modeling of intrinsic kinetics for gas-solid heterogeneous   photocatalytic reaction: A general method for different   pollutant-photocatalyst systems. Chemical   Engineering Journal, 479, 147651. (影响因子:15.1)

44 Zhang, K.F., Yang, X.L., Xu, L., Thé, J., Tan, Z.C.,   Yu, H.S.* (2024) Enhancing coal-gangue object detection   using GAN-based data augmentation strategy with dual attention mechanism. Energy, 287, 129654. (影响因子:9;中科院一区)

43 Liu, J.Y., Huang, X.X., Hu, L.Z., Liu, P.L., Jia,   L.H., Sasaki, K., Tan, Z.C.*, Yu, H.S.* (2023) Nitric   oxide removal by synergistic photooxidation and adsorption using Pd1/g-C3N4-UiO-66-NH2   P-A heterojunction. Chemical   Engineering Journal, 476, 146768. (影响因子:15.1)

42 Yu, H.S., Gao, E.Q., Tan, Z.C.* (2024) Automated nanofiber   sizing by multi-image processing and deep learning with revised UNet model. The Canadian Journal of Chemical   Engineering, 102, 1441-1453 (Issue Highlights)

41 Hu, L.Z., Gao, N.S., Huang, B., Yu, H.S.*, Chen, Q.Q.* (2024) Modification of VPO4 with carbon and 3DG   for high performance lithium-ion battery anode. The Canadian Journal of Chemical Engineering, 102, 1111-1121.

40 Zhang, Y., Li, Y.F., Zuo, Z.G.,   Musselman, K., Duan, X.M., Yu, H.S.*, Xu, Z.H., Tan,   Z.C.* (2023) A Facile and Strategic Approach to Superhydrophobic Fibrous   Structure with Biaxially Aligned Electrospun Porous Fibers. Advanced Materials Interfaces, 10   (34), 2300507.

39 Hu, L.Z., Liu, J.Y., Huang, X.X.,   Nie, Q.Q., Liu, P.L., Tan, Z.C.*, Yu, H.S.* (2023) Carbon-bridged Atomically Dispersed Platinum on MOF-derived ZnO/C for Selective Photocatalytic Oxidation of NO into Nitrates and Nitrites. Carbon, 214, 118299. (美国碳学会官方期刊, 影响因子:10.9

38 Zhang, G.Q., Liu, J.Y., Jia, L.H., Wang, H.M., Tan,   Z.C.*, Yu, H.S.* (2023) A novel numerical method coupling CFD   with PSO vs. mathematical approach in the modeling of photocatalytic   degradation of NO. Reaction Chemistry   & Engineering, 8, 2592-2605.

37 Wang, M.D., Nie, Q.Q., Xie, G.Y., Tan, Z.C.*, Yu, H.S.* (2023)   Mathematical Modelling and CFD Simulation for Oxygen Removal in a   Multi-function Gas-Liquid Contactor. Processes,   11, 1780.

36 俞和胜,祁海鹰,谭忠超(2023双碳背景下传统化石能源脱碳制氢增值化利用技术. 清华大学学报(自然科学版), 63:1226-1235.【该文被《科技日报》推介:http://digitalpaper.stdaily.com/http_www.kjrb.com/kjrb/html/2024-04/08/content_569733.htm

35 Jin, H., Li, S.H.*, Yu, H.S., Yuan, L., Zhou,   F.B.*, Tan, Z.C. (2023) Filtration of dust particles in underground coal   mines. Powder Technology, 423,  118506.

34 Zhang, K.F., Yang, X.L., Wang, T., Thé, J., Tan,   Z.C., Yu, H.S.* (2023) Multi-step carbon price forecasting using   a hybrid model based on multivariate decomposition strategy and deep learning   algorithms. Journal of Cleaner   Production, 405, 136959影响因子:11.1.

33 Shen, M.W., Zhang, G.Q., Liu, J.Y., Liu, Y.H., Zhai, J.Y., Zhang,   H.C., Yu, H.S.* (2023) Visible-light-driven photodegradation of   xanthate in a continuous fixed-bed photoreactor: Experimental study and   modeling. Chemical Engineering Journal,   461, 141833. (影响因子:15.1,本科生一作)

32 Liu, J.Y., Huang, X.X.,   Jia, L.H., Liu, L.F., Nie, Q.Q., Tan, Z.C.*, Yu, H.S.* (2023) Microwave-assisted Rapid Substitution of Ti   for Zr to Produce Bimetallic (Zr/Ti)UiO-66-NH2 with Congenetic   “Shell-Core” Structure for Enhancing Photocatalytic Removal of Nitric Oxide. Small, 19, 2207198. (卷首插图Frontispiece, 影响因子:13.3)

31 Li, Y.F., Yu, H.S., Jiang, X.H., Deng, G.R., Wen, J.   Z., Tan, Z.C.* (2023) Techno-economic analysis for hydrogen-burning power   plant with onsite hydrogen production unit based on methane catalytic   decomposition. Energy Conversion and   Management, 277, 116674. (影响因子:10.4)

30 Wang, M.D., Ni, C., Bu, X.X., Peng, Y.L., Xie, G.Y.,   Tan, Z.C.*, Yu, H.S.* (2023) CFD-PBM Simulation of the Column   Flotation Unit of FCMC: Importance of Gas-Liquid Interphase Forces Models. The Canadian Journal of Chemical   Engineering, 101, 5925-5940.

29 Hu, L.Z., Huang, X.X., Nie, Q.Q., Wang, T., Liu,   P.L., Liu, J.Y., Tan, Z.C.*, Yu, H.S.* (2023) Single Pd   Atoms Supported on Ultra-thin Bismuth Tungstate Nanosheets with Oxygen   Vacancy as an Efficient Photocatalyst. Journal   of Materials Chemistry A, 11, 1723-1733 (影响因子:11.9 HOT Paper)

28 Zhang, K.F., Yang, X.L., Cao, H., Thé, J., Tan,   Z.C., Yu, H.S.* (2023) Multi-step forecast of PM2.5   and PM10 concentrations using convolutional neural network   integrated with spatial-temporal attention and residual learning. Environment International, 171,   107691 (影响因子:11.8).

27 Zhang, Y., Huang, Y.Q., Li, Y.F., Yu, H.S.*, Tan, Z.C.* (2022) Free energy barrier in wetting parallel-structured   surfaces. Colloids and Surfaces A:   Physicochemical and Engineering Aspects, 655, 130214.

26 Hu, L.Z., Wang,   T., Nie, Q.Q., Liu, J.Y., Cui, Y.P., Zhang, K.F., Tan, Z.C., Yu, H.S.*   (2022) Single Pd atoms anchored graphitic carbon nitride   for highly selective and stable photocatalysis of nitric oxide. Carbon, 200, 187-198. (美国碳学会官方期刊, 影响因子:10.9).

25 Yang, X.L., Zhang, K.F., Ni, C., Cao, H., Thé, J., Xie, G.Y., Tan,   Z.C., Yu, H.S.* (2022) Ash determination of coal   flotation concentrate by analyzing froth image using a novel hybrid model   based on deep learning algorithms and attention mechanism. Energy, 260, 125027. (中科院一区)

24 Liu, J.Y., Huang,   X.X. Liu, L.F., Nie, Q.Q., Tan, Z.C., Yu, H.S.* (2022) New insights into the   removal of nitric oxide using UiO-66-NH2: Synergistic   photooxidation and subsequent adsorption. Journal of Environmental Chemical Engineering, 10, 108294.

23 Li, Y.F., Zhang, Y., Zhou, N., Yu, H.S.*, Tan, Z.C.* (2022), Electrospun-nanofibrous   Redox-active Separator for Enhancing the Capacity of Lithium-ion Batteries. Chemical Engineering Science, 260,   117873. (化工三大期刊之一)

22 Li, Y.F., Yu, H.S.,   Zhang, Y., Zhou, N., Tan, Z.C.* (2022), Kinetics and Characterization of   Preparing Conductive Nanofibrous Membrane by In-situ Polymerization of   Polypyrrole on Electrospun Nanofibers. Chemical   Engineering Journal 433, 133531.   影响因子:15.1

21 Cui, Y.P.,   Huang, X.X., Wang, T., Jia, L.H., Nie, Q.Q., Tan, Z.C., Yu, H.S.* (2022),   Graphene Quantum Dots / Carbon Nitride Heterojunction with Enhanced   Visible-Light Driven Photocatalysis of Nitric Oxide: An Experimental and DFT   Study. Carbon, 191:502-514. (美国碳学会官方期刊, 影响因子:10.9).

20 Zhang, K.F., Cao, H., Thé, J., Yu,   H.S.* (2022), A hybrid model for multi-step coal   price forecasting using decomposition technique and deep learning algorithms.   Applied Energy 306, 118011.  影响因子:11.2

19 Ni, C., Zhang,   Q.S., Jin, M.G., Xie, G.Y., Peng, Y.L., Yu,   H.S.*, Bu, X.N.* (2022), Effect of high-speed   shear flocculation on the flotation kinetics of ultrafine microcrystalline   graphite. Powder Technology 396345-353.

18 Wang, T., Zhang, K.F., Thé, J., Yu,   H.S.* (2022), Accurate prediction of band gap   of materials using stacking machine learning model. Computational Materials Science. 201, 110899.

17 Cui, Y.P., Wang,   T., Liu, J.Y., Hu, L.Z., Nie, Q.Q., Tan, Z.C., Yu,   H.S.* (2021), Enhanced Solar Photocatalytic   Degradation of Nitric Oxide using Graphene Quantum Dots/Bismuth Tungstate   Composite Catalysts. Chemical Engineering Journal 420, 129595. 影响因子:15.1

16 Liu, J.Y., Wang,   T., Nie, Q.Q., Hu, L.Z., Cui, Y.P., Tan, Z.C., Yu, H.S.* (2021), One-step synthesis of metallic Bi deposited Bi2WO6   nanoclusters for enhanced photocatalytic performance: An experimental and DFT   study. Applied Surface Science. 559, 149970. (中科院一区)

15 Zhang, K.F., Thé, J., Xie, G.Y., Yu, H.S.* (2020), Multi-step ahead   forecasting of regional air quality using spatial-temporal deep neural   networks: A case study of Huaihai Economic Zone. Journal of Cleaner   Production. 277, 123231. 影响因子:11.1

14 Liu, J.Y., Nie,   Q.Q., Tan, Z.C., Luo, Y.L., Wang, S., Yu, H.S.* (2020), Insights into the impurities of Bi2WO6   synthesized using the hydrothermal method. RSC Advances 10 (67), 40597-40607.

13 Hu, P., Liang, L., Peng, Y., Yu, H.S.*, Xie, G. Y.* (2020), Recovery of   microcrystalline graphite from quartz using magnetic seeding, Minerals 10 (1), 24.

12 刘嘉友,聂倩倩,俞和胜*,李亚萍 2020),卷心菜状Bi2WO6光催化降解黄药废水. 金属矿山524: 122-128.

11 Ni, C., Bu, X.N., Xia, W., Peng, Y., Yu, H.S.*, Xie, G.Y.* (2018),   Observing slime-coating of fine minerals on the lump coal surface using   particle vision and measurement. Powder   Technology. 339, 434-439.

10 Thé, J., Yu, H.S.*   (2017), A critical review on the simulations of wind turbine aerodynamics   focusing on hybrid RANS-LES methods. Energy,   138: 257-289. (中科院一区)

Yu, H.S., Thé, J. (2017), Simulation of gaseous pollutant   dispersion around an isolated building using the k–ω SST (shear stress   transport) turbulence model. Journal   of the Air & Waste Management Association. 67: 517-536.

Yu, H.S., Thé, J. (2016), Validation and Optimization of SST   k-ω Turbulence Model for Pollutant Dispersion within A Building Array. Atmospheric   Environment, 145: 225-238.

Yu, H.S., Thé, J., Tan, Z.C., Feng, X.S. (2016), Modeling SO2   Absorption into Water Accompanied with Reversible Reaction in a Hollow Fiber   Membrane Contactor. Chemical   Engineering Science156: 136–146. (化工三大期刊之一)

Yu, H.S., Tan, Z.C., Thé, J., Feng, X.S., Croiset, E.,   Anderson, W.A. (2016), Kinetics of the Absorption of Carbon Dioxide into   Aqueous Ammonia Solutions. AIChE   Journal, 62, 3673–3684. (化工三大期刊之首,Editor’s   Choice Paper, 1 out  of 8 “Editor’s Choice” Papers in 2016).

Wu, D.H., Tan, Z.C., Yu, H.S., Li, Q.H., Thé, J., Feng, X.S.   (2016) Use of nanofiltration to reject cobalt (II) from ammoniacal solutions   involved in absorption of SO2/NOx, Chemical   Engineering Science145, 97-107. (化工三大期刊之一)

Yu, H.S. and Tan. Z.C. (2014) On the Kinetics of   the Absorption of Nitric Oxide into Ammoniacal Cobalt(II) Solutions. Environmental Science & Technology 48,   2453–2463. 影响因子:11.4

Yu, H.S. and Tan. Z.C. (2013) Determination   of Equilibrium Constants for Reactions between Nitric Oxide and Ammoniacal   Cobalt(II) Solutions at Temperatures from 298.15 to 309.15 K and pH Values   between 9.06 and 9.37 under Atmospheric Pressure in a Bubble Column.   Industrial   & Engineering Chemistry Research 52, 3663-3673. (化工三大期刊之一)

Yu, H.S., Zhu, Q.Y. and Tan, Z.C. (2012) Absorption of nitric   oxide from simulated flue gas using different absorbents at room temperature   and atmospheric pressure. Applied   Energy 93, 53-58. 影响因子:11.2

Yu, H.S. and Tan. Z.C. (2012) New Correlations of Volumetric   Liquid-Phase Mass Transfer Coefficients in Gas-Inducing Agitated Tank   Reactors. International Journal of   Chemical Reactor Engineering 10, 1-20.


  • 研究方向
  • 社会兼职
  • 2021.10-----至今

    社会兼职内容:巴塞尔公约亚太区域中心化学品与废物环境管理智库专家

  • 社会兼职内容:第35届国际匹兹堡煤炭大会(2018 IPCC)分会主席
  • 社会兼职内容:2017年国际煤炭科学与技术会议暨2017年中澳能源研讨会(2017 ICCS&T)煤炭加工分会主席、国内委员会成员
  • 社会兼职内容:《AIChE Journal》、《Chemical Engineering Journal》、《Energy》、《Energy & Fuels》、《Aerosol and Air Quality Research》、《Fuel Processing Technology》、《Journal of the Air & Waste Management Association》等SCI期刊审稿人。其中,2016年为Energy期刊审稿40余篇,被Elsevier评为Energy杰出审稿人
  • 教育经历
  • 工作经历
  • 2009.1-----2013.6

    加拿大滑铁卢大学 | 机械工程 | 博士研究生毕业 | 博士

  • 2005.9-----2008.6

    中国矿业大学 | 矿物加工工程 | 硕士研究生毕业 | 硕士

  • 2001.9-----2005.7

    中国矿业大学 | 矿物加工工程 | 本科毕业 | 学士

  • 2017.8-----至今

    化工学院

  • 2016.9-----2017.8

    加拿大来客环境

  • 2014.10-----2017.8

    Lakes Environmental

  • 2014.9-----2016.9

    加拿大自然科学基金委企业博士后

  • 2014.2-----2014.9

    加拿大阿尔伯塔大学

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俞和胜

职务:Professor
主要任职:

个人信息

  • 教授
    博士生导师
    硕士生导师
  • 教师拼音名称:yuhesheng
  • 电子邮箱:
  • 所在单位:化工学院
  • 职务:Professor
  • 办公地点:中国矿业大学文昌校区综合楼203
  • 性别:
  • 学位:博士
  • 职称:教授
  • 毕业院校:University of Waterloo

学术荣誉:

  • 2020当选:江苏特聘教授

曾获荣誉:

  • 2020-08-01江苏特聘教授
  • 2014-10-15加拿大国家自然科学基金工业博士后奖学金
  • 2020-08-01中国矿业大学“高端人才计划”攀登学者
  • 2019-06-01江苏省“六大人才高峰”高层次人才
  • 2018-06-28江苏省“双创博士”
  • 2016-08-01AIChE Journal Editor’s Choice Paper

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