Yi Ming (Michael) Ren

Research Scientist @ Meta

UCLA Ph.D.


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.