研究方向：人工智能在化学化工的应用；工业结晶与多相流; 计算流体力学与节能；微流控技术

人工智能在化学化工中的应用；传递现象;化工数学

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2008年开始在天津大学任教至今，历任副教授和教授。获教育部新世纪优秀人才（2013）称号。研究方向包括人工智能在化工中的应用，工业结晶，微流控技术，计算流体力学等。主持国家重点研发课题级、子课题级项目各一项，国家自然科学基金四项（3项面上、1项青年）, 973子课题等各级纵向、横向项目二十多项。共发表论文九十多篇，主要发表于Physical Review Letters, Chemical Engineering Science， Chemical Engineering Journal，Small, IECR，Applied Physics Letter等世界著名期刊。文章总SCI引用两千多次，单篇最高他引三百多次。申请专利二十多项，目前授权发明专利十项。

作为负责人承担的主要科研项目：

1、科技部国家重点研发课题级项目（2023YFC3207104）：“高盐水低耗高倍浓缩与无机盐多路径资源化技术”，2023年-2026年

2、科技部国家重点研发子课题级项目（2019YFC1905805）：“典型精细化工园区磷硫氯循环利用全局优化及标准规范编制”，2020年-2023年

3、国家自然科学基金面上项目（22078229）: “DEM-VOF耦合三相流数值方法的开发及其在微流体中的应用” 2021年-2024年

4、企业合作项目： “枕型换热板强化传热模拟分析与

（1）人工智能在化工中应用(故障诊断)

lSilin Rao,Jingtao Wang. A comprehensive fault detection and diagnosis method for chemical processes. Chemical Engineering Science. 2024,300,120565.

lSilin Rao,Lunrui Fan,Jingtao Wang. Expert label for explainable fault diagnosis and for unknown fault generalization. Chemical Engineering Science. 2025,301,120699. (2024年9月10日在线发表)

lSilin Rao,Jingtao Wang. Compensation of accuracy by increased data “thickness” for high timeliness in fault diagnosis of chemical process. Journal of the Taiwan Institute of Chemical Engineers. 2023,152,105178.

lPandeng Guo,Silin Rao,Lin Hao,Jingtao Wang. Fault diagnosis of a semi-batch crystallization process through deep learning method. Computers & Chemical Engineering. 2022,164,107807.

lYu Bao,Bo Wang,Pandeng Guo,Jingtao Wang. Chemical process fault diagnosis based on a combined deep learning method. The Canadian Journal of Chemical Engineering. 2022,100(1),54-66.

（2）结晶技术

lMeijin Lu,Silin Rao,Hong Yue,Junjie Han,Jingtao Wang. Recent Advances in the Application of Machine Learning to Crystal Behavior and Crystallization Process Control. Crystal Growth & Design. 2024,24(12), 5374-5396.

lLiucong Chen,Jingtao Wang. Continuous Production of NaCl Spherical Particles via Emulsion Crystallization in Microfluidic Devices. Crystal Growth & Design. 2023,23(12),8918-8928.

lHong Yue,Jingtao Wang,Meijin Lu. Neural Network Prediction Model of Cocrystal Melting Temperature Based on Molecular Descriptors and Graphs. Crystal Growth & Design. 2023,23(4),2540-2549.

lYin Zhu,Meijin Lu,Feng Gao,Chunli Zhou,Chenyang Jia,Jingtao Wang. Role of Tailor-Made Additives in Crystallization from Solution: A Review. Industrial & Engineering Chemistry Research. 2023,62(12),4800-4816.

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（3）微流体技术

lJingtao Wang,Jinxia Liu,Junjie Han,Jing Guan. Effects of Complex Internal Structures on Rheology of Multiple Emulsions Particles in 2D from a Boundary Integral Method. Physical Review Letters. 2013,110(6),066001.

lYunli Ma,Manman Zheng,Mohamed Gibril Bah,Jingtao Wang. Effects of obstacle lengths on the asymmetric breakup of a droplet in a straight microchannel. Chemical Engineering Science. 2018,179,104-114.

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lJingtao Wang,Juan Wang,Jun-Jie Han. Fabrication of Advanced Particles and Particle-Based Materials Assisted by Droplet-Based Microfluidics. Small. 2011,7(13),1728-1754.

（4）计算流体力学

lQianqian Kang,Xin Feng,Chao Yang,Jingtao Wang. DEM-VOF simulations on the drawdown mechanisms of floating particles at free surface in turbulent stirred tanks. Chemical Engineering Journal. 2022,431,133275.

lQianqian Kang,Dapeng He,Na Zhao,Xin Feng,Jingtao Wang. Hydrodynamics in unbaffled liquid-solid stirred tanks with free surface studied by DEM-VOF method. Chemical Engineering Journal. 2020,386,122846.

lLiang Wu,Ming Gong,Jingtao Wang. Development of a DEM-VOF Model for the Turbulent Free-Surface Flows with Particles and Its Application to Stirred Mixing System. Industrial & Engineering Chemistry Research. 2018,57(5),1714-1725.

lBo Wang,Jingtao Wang. Application of Artificial Intelligence in Computational Fluid Dynamics. Industrial & Engineering Chemistry Research. 2021,60(7),2772-2790.