2024-Now Shanghai Jiao Tong University, College of Smart Energy, Tenure-Track Associate Professor

2024-2024 Imperial College London, Postdoc at the Process Systems Engineering Center (Supervisor: Prof. Claire Adjiman)

2023-2024 Paderborn University, Postdoc/Humboldt Fellow (Supervisor: Prof. Eugeny Kenig)

2021-2023 Shanghai Jiao Tong University, Postdoc, (Supervisor: Prof. Zheng-Hong Luo)

Sept. 2010 – Jun. 2014 Dalian University of Technology, Bachelor's Degree in Chemical Engineering

Sept. 2014 – Mar. 2017 Shanghai Jiao Tong University, Master's Degree in Chemical Engineering

Apr. 2017 – Mar. 2021 Shanghai Jiao Tong University, Ph.D. in Chemical Engineering and Technology

1. Multiphase reactor engineering (Reactor design and scaling up, including fluidized bed, fixed bed, stirred tank, etc.)

2. Multi-scale smart computing and optimization (Computational fluid dynamics, multi-objective optimization, etc.)

3. Catalytic conversion and utilization of carbon resources (Catalytic conversion of waste carbon resources such as CO2 and plastics, Methanol synthesis, Methanol to olefins, etc.)

4. Smart energy and chemical engineering (Smart process design and synthesis, Smart process optimization)

5. Artificial Intelligence (Large language model; Machine learning; Deep learning)

Our lab: https://www.x-mol.com/groups/zhulitao

After joining the CSE：

3、Ling Qin, Lianyong Zhou, Xiaofan Zheng, Tao Hu, Eugeny Y. Kenig, Li-Tao Zhu*, Zheng-Hong Luo. Particle-resolved simulations of transport phenomena and correlation development for fixed beds with Platonic particles. Chem. Eng. Sci., 2025, 319, 122245. https://doi.org/10.1016/j.ces.2025.122245

2、Zheng, X., Yang, J., Zhou, L., Qin, L., Lu, C., Alonso-Vante, N., Huang Z., Zhang P., Zhou Y.N., Luo Z.H.*, Zhu L.T.*, Big data-driven machine learning transformation for atomic-scale heterogeneous catalyst design: a critical review. Chem. Eng. Sci., 2025, 121740.

1、Yang Y.N., Han J.P., Ma Y.P., Zhu L.T.*, Zhou Y.N.*, Luo Z.H.*. Modeling and analysis of polypropylene copolymer properties and pressure stability for integrated tubular loop reactor and MZCR. Chem. Eng. Sci., 2024, 120657. 

Before joining the CSE：

1、Zhu L.T., Kenig E., A study of methanol-to-olefins packed bed reactor performance using particle-resolved CFD and machine learning. AIChE J., 2024.

2、Zhu L.T., Wachs A., Interpolation of probability-driven model to predict hydrodynamic forces and torques in particle-laden flows. AIChE J., 2023, 69(11), e18209.

3、Zhu L.T., Lei H., Ouyang B., Luo Z.H., Using mesoscale drag model-augmented coarse-grid simulation to design fluidized bed reactor: Effect of bed internals and sizes. Chem. Eng. Sci., 2022, 253, 117547.

4、Zhu L.T., Chen X.Z., Ouyang B., Yan W.C., Lei H., Chen Z., Luo Z.H., Review of machine learning for hydrodynamics, transport and reactions in multiphase flows and reactors. Ind. Eng. Chem. Res., 2022, 61(28), 9901-9949. (ESI高被引论文)

5、Zhu L.T., Ouyang B., Lei H., Luo Z.H., Conventional and data-driven modeling of mesoscale drag, heat transfer and reaction rate in gas-particle flows. AIChE J., 2021, e17299. 

6、Zhu L.T., Tang J.X., Luo Z.H., Machine learning to assist filtered two-fluid model development for dense gas-particle flows. AIChE J., 2020, 66(6), e16973.

7、Zhu L.T., Chen, X.Z., Luo, Z.H., Analysis and development of homogeneous drag closure for filtered mesoscale modeling of fluidized gas-particle flows. Chem. Eng. Sci., 2021, 229, 116147.

8、Zhu L.T., Yang, Y.N., Pan, D.T., Luo, Z.H., Capability assessment of coarse-grid simulation of gas-particle riser flow using sub-grid drag closures. Chem. Eng. Sci., 2020, 213, 115410.

9、Zhu L.T., Liu Y.X., Tang J.X., Luo Z.H., A material-property-dependent sub-grid drag model for coarse-grained simulation of 3D large-scale CFB risers. Chem. Eng. Sci., 2019, 204, 228.

10、Zhu L.T., Rashid T.A.B., Luo Z.H., Comprehensive validation analysis of sub-grid drag and wall corrections for coarse-grid two-fluid modeling. Chem. Eng. Sci., 2019, 196, 478-492.

11、Zhu L.T., Y.X. Liu, Luo Z.H., An enhanced correlation for gas-particle heat and mass transfer in packed and fluidized bed reactors. Chem. Eng. J., 2019, 374, 531-544.

12、Zhu L.T., Liu Y.X., Luo Z.H., An effective three-marker drag model via sub-grid modeling for turbulent fluidization. Chem. Eng. Sci., 2018, 192, 759-773.

13、Zhu L.T., Xie L., Xiao J., Luo Z.H., Filtered model for the cold-model gas-solid flow in a large-scale MTO fluidized bed reactor. Chem. Eng. Sci., 2016, 143, 369-383.

14、Zhu L.T., Pan H., Su Y.H., Luo Z.H., Effect of particle polydispersity on flow and reaction behaviors of methanol to olefins fluidized bed reactors. Ind. Eng. Chem. Res., 2017, 56, 1090-1102.

15、Zhu L.T., Ye M., Luo Z.H., Application of filtered model for reacting gas-solid flows and optimization in a large-scale methanol-to-olefin fluidized-bed reactor. Ind. Eng. Chem. Res., 2016, 55, 11887-11899.

Complete article list（ORCID）：https://orcid.org/0000-0001-6514-8864

1. The Shanghai Pujiang Project

2. The National Natural Science Foundation of China Youth Fund Project

3. General project of China Postdoctoral Fund

1. A solution polymerization method for producing polyolefins, ZL202210945593.3

2. Branched internals and fluidized bed reactors，ZL202110481299.7

3. Polyolefin production unit and control method, CN202311076191.5.

4. Production device and method for producing polyolefin elastomer, CN115894747A

5. Training Method and Device, Optimization Method, Medium, and Terminal of Flow Channel Structure Performance Optimization Model, CN202311314449.0

The Chambroad Science and Technology Award — Bronze Award for Outstanding Ph.D. Award

Alexander Von Humboldt Fellow

Outstanding Ph.D. Thesis Award from the China Association of Particle Technology

Shanghai Postdoctoral Excellence

China National Postdoctoral Innovative Talents

CPCIF-Clariant Clean Tech Award from the China Petroleum and Chemical Industry Association

Outstanding PhD Graduate of Shanghai

National Scholarship for Ph.D. students (Twice)