Mengjia Zhu

Mengjia Zhu

PDRA at UoM. My current research interests include black-box optimization and control, with particular emphasis on active, preference, and safe learning.

Publications

JOURNAL PAPERS (SUBMITTED)

  1. M. Zhu and A. Bemporad, “Global and preference-based optimization with mixed variables using piecewise affine surrogates,” 2023, Submitted for publication. arXiv, code

JOURNAL PAPERS (IN PRESS)

  1. M. Zhu, A. Mroz, L. Gui, K. Jelfs, A. Bemporad, EA. del Río Chanona, and Y. Lee, “Discrete and mixed-variable experimental design with surrogate-based approach,” Digital Discovery, 2024, in press. paper-link, code, ChemRxiv

JOURNAL PAPERS

  1. L. Cannelli, M. Zhu, F. Farina, A. Bemporad, and D. Piga, “Multi-agent active learning for distributed black-box optimization,” IEEE Control Systems Letters, vol. 7, pp. 1488–1493, 2023.. paper-link, pdf, code
  2. M. Zhu, D. Piga, and A. Bemporad, “C-GLISp: Preference-based global optimization under unknown constraints with applications to controller calibration,” IEEE Trans. Contr. Systems Technology, vol. 30, no. 3, pp. 2176–2187, Sept. 2022. paper-link, pdf, code

CONFERENCE PAPERS (SUBMITTED)

  1. S. Kay, M. Zhu, O. Pennington, and Dongda Zhang, “Machine Learning-Driven Optimisation of Operational Spaces for Uncertainty Management in Process Industries,” 2024, submitted for publication.

CONFERENCE PAPERS

  1. M. Zhu, A. Bemporad, M. Kneissl, and H. Esen, “Learning critical scenarios in feedback control systems for automated driving,” in IEEE 26th Int. Conf. on Intelligent Transportation Systems (ITSC), Bilbao, Bizkaia, Spain, Sept. 2023. paper-link, pdf
  2. M. Zhu, A. Bemporad, and D. Piga, “Preference-based MPC calibration,” in European Control Conference, 2021. paper-link, pdf

BOOK CHAPTERS

  1. A. Molin, E. Aguilar, D. Nickovic, M. Zhu, A. Bemporad, and H. Esen, “Specification-guided critical scenario identification for automated driving,” 25th International Symposium on Formal Methods, 2023. paper-link, pdf
  2. M. Zhu, FL. Santamaria, S. Macchietto, “A general dynamic model of a complete milk pasteuriser unit subject to fouling,” in Computer Aided Chemical Engineering, vol. 48, pp. 247-252, 2020. paper-link, pdf

TECHNICAL REPORTS

  1. M. Zhu, D. Piga, and A. Bemporad, “C-GLIS: Global Optimization under Unknown Constraints,” 2021. pdf

THESES

  1. M. Zhu, “Global and preference-based optimization using surrogate-based methods”, Ph.D. dissertation, Systems Science, Track in Computer Science and Systems Engineering, IMT School for Advanced Studies Lucca (Scuola IMT Alti Studi Lucca), Lucca, Italy, May 2024. pdf
  2. M. Zhu, “A general dynamic model of a complete milk pasteuriser unit subject to fouling,” MSc. thesis, Imperial College London, London, UK, September 2018.