Yi Ming (Michael) Ren
About
From Vancouver to Los Angeles
UCLA undergrad (2018) and Ph.D. (2022)
Languages: English, Chinese, French
Real languages: Python, Hack/PHP, C++, SQL
Research Interests
Machine Learning Modeling
Data-driven Control Systems
Smart Manufacturing and Industry 4.0
Publications
Ren, Y. M., M. Alhajeri, J. Luo, S. Chen, F. Abdullah, Z. Wu and P. D. Christofides, "A Tutorial Review of Neural Network Modeling Approaches for Model Predictive Control,'' Comp. & Chem. Eng., in press.
Citmaci, B., J. Luo, J. B. Jang, V. Canuso, D. Richard, Y. Ren, C. Morales-Guio and P. D. Christofides, "Machine Learning-Based Ethylene Concentration Estimation, Real-Time Optimization and Feedback Control of an Experimental Electrochemical Reactor,'' Chem. Eng. Res. & Des., 185, 87-107, 2022.
Liu, T., C. S. Lough, H. Sehhat, Y. Ren, P. D. Christofides, E. C. Kinzel and M. C. Leu, "In-Situ Thermographic Inspection for Local Powder Layer Thickness Estimation in Laser Powder Bed Fusion,'' Additive Manufacturing, 55, 102873, 2022
Ren, Y., Y. Ding, Y. Zhang and P. D. Christofides, "A Three-Layer Hierarchical Framework for Additive Manufacturing,'' Digit. Chem. Eng., 1, 100001, 2021.
Ren, Y., Y. Zhang, Y. Ding, T. Liu, C. S. Lough, M. C. Leu, E. C. Kinzel and P. D. Christofides, "Finite Element Modeling of Direct Metal Laser Solidification Process: Sensor Data Replication and Use in Defect Detection and Data Reduction via Machine Learning,'' Chem. Eng. Res. & Des., 171, 254-267, 2021.
Y. Wang, Y. Ren, H. Li, "Symbolic Multivariable Hierarchical Clustering Based Convolutional Neural Networks with Applications in Industrial Process Operating Trend Predictions" Industrial & Engineering Chemistry Research, 59.34, 15133-15145.
Ren, Y., Y. Zhang, Y. Ding, Y. Wang and P. D. Christofides, "Computational Fluid Dynamics-Based In-Situ Sensor Analytics of Direct Metal Laser Solidification Process Using Machine Learning,'' Comp. & Chem. Eng., 143, 107069, 2020.
Ding, Y., Y. Zhang, Y. Ren, G. Orkoulas and P. D. Christofides, "Machine Learning-Based Modeling and Operation for ALD of SiO_2 Thin Films Using Data from a Multiscale CFD Simulation,'' Chem. Eng. Res. & Des., 151, 131-145, 2019.
Wu, Z., A. Tran, Y. Ren, C. S. Barnes, S. Chen and P. D. Christofides, "Model Predictive Control of Phthalic Anhydride Synthesis in a Fixed-Bed Catalytic Reactor via Machine Learning Modeling,'' Chem. Eng. Res. & Des., 145, 173-183, 2019.
Conference Talks
Ren, Y., Y. Zhang and P. D. Christofides, "Defect Detection Using Experimental and Simulated Dataset and Data Reduction for Direct Metal Laser Solidification (DMLS)," Proceedings of American Insitute of Chemical Engineering Conference, 5 pages, Online, 2021
Ren, Y., Y. Ding, Y. Zhang and P. D. Christofides, "Realistic Thermal Sensor Modeling Using Finite Element Method (FEM) of Direct Metal Laser Solidification (DMLS)," Proceedings of American Insitute of Chemical Engineering Conference, 4 pages, Online, 2021
Ren, Y., Y. Ding, Y. Zhang and P. D. Christofides, "Computational Fluid Dynamics-Based in-Situ Sensor Analytics of Direct Metal Laser Sintering Process Using Machine Learning," Proceedings of American Insitute of Chemical Engineering Conference, 87-88, Online, 2020
Y Zhang, Y Ding, Y. M. Ren, PD Christofides, "Multiscale Three-Dimensional CFD Modeling and Reactor Design for ALD of SiO2 Thin-Films," Proceedings of American Insitute of Chemical Engineering Conference, 4 pages, Orlando, 2019.
Wu, Z., A. Tran, Y. M. Ren, C. S. Barnes and P. D. Christofides, "Computational Fluid Dynamics Modeling and Control of Phthalic Anhydride Synthesis in a Fixed-Bed Catalytic Reactor,'' Proceedings of the American Control Conference, 2151-2157, Philadelphia, Pennsylvania, 2019.
Wu, Z., A. Tran, Y. M. Ren, C. S. Barnes, S. Chen and P. D. Christofides, "Machine Learning-Based Model Predictive Control of Distributed Chemical Processes,'' Proceedings of IFAC CPDE/CDPS-2019, 8 pages, Oaxaca, Mexico, 2019.