Dr. Mimi Zhang

Dr. Mimi Zhang

Assistant Professor, Statistics

3531896 2726https://www.scss.tcd.ie/mimi.zhang/


Mimi Zhang joined TCD as an assistant professor in October 2017. She holds a B.Sc. in statistics from University of Science and Technology of China (Sep. 2007-Jul. 2011), and a Ph.D. in industrial engineering from City University of Hong Kong (Nov. 2011-Jan. 2015). Before joining TCD, she was a research associate at University of Strathclyde and Imperial College London. Her main research areas are machine learning and operations research, including cluster analysis, Bayesian optimization, functional data analysis, reliability & maintenance (engineering), etc. She is the strand leader of the Data Science MSc programme and an AE for Journal of Classification.

Current PhD students:

    Guangchen Wang, 2023, co-supervise with Prof. Michael Monaghan
    Samuel Singh, 2023, co-supervise with Prof. Shirley Coyle
    Emmanuel Akeweje, 2023, co-supervise with Prof. Thomas Chadefaux
    Sukriti Dhang, 2022, co-supervise with Prof. Soumyabrata Dev
    Xiantao Zhao, 2021

Former PhD students:

    Joshua Tobin, thesis title "Consistent Mode-Finding for Parametric and Non-Parametric Clustering".
    Bernard Fares (part time), thesis title "Incorporating Ignorance within Game Theory: An Imprecise Probability Approach".

Teaching Activities

  • 09/21-now: Introduction to Statistical Concepts and Methods (10 ECT), Coordinator
  • 09/21-now: Implementing Statistical Methods in R (5 ECT), Coordinator
  • 09/17-now: Software Application (5 ECT), Coordinator
  • 09/17-08/21: Statistics Base Module (15 ECT), Coordinator


Publications and Further Research Outputs

  • Mimi Zhang and Tim Bedford, Vine Copula Approximation: A Generic Method for Coping with Conditional Dependence, Statistics and Computing, 28, (1), 2018, p219 - 237Journal Article, 2018, TARA - Full Text
  • Mimi Zhang and Min Xie, An Ameliorated Improvement Factor Model for Imperfect Maintenance and Its Goodness of Fit, Technometrics, 59 (2), 2017, p237 - 246Journal Article, 2017, TARA - Full Text
  • Mimi Zhang and Matthew Revie, Continuous-Observation Partially Observable Semi-Markov Decision Processes for Machine Maintenance, IEEE Transactions on Reliability, 66 (1), 2017, p202 - 218Journal Article, 2017, TARA - Full Text
  • Mimi Zhang, Olivier Gaudoin and Min Xie, Degradation-Based Maintenance Using Stochastic Filtering for Systems under Imperfect Maintenance, European Journal of Operational Research, 245 (2), 2015, p531 - 541Journal Article, 2015, TARA - Full Text
  • Mimi Zhang, Qingpei Hu, Min Xie and Dan Yu, Lower Confidence Limit for Reliability Based on Grouped Data with a Quantile Filling Algorithm, Computational Statistics & Data Analysis, 75, 2014, p96 - 111Journal Article, 2014, TARA - Full Text
  • Mimi Zhang, Zhisheng Ye and Min Xie, A Condition-Based Maintenance Strategy for Heterogeneous Populations, Computers & Industrial Engineering, 77, 2014, p103 - 114Journal Article, 2014, TARA - Full Text
  • Mimi Zhang, Min Xie and Olivier Gaudoin, A Bivariate Maintenance Policy for Multi-State Repairable Systems with Monotone Process, IEEE Transactions on Reliability, 62 (4), 2013, p876 - 886Journal Article, 2013, TARA - Full Text
  • Mimi Zhang, Zhisheng Ye and Min Xie, A Stochastic EM Algorithm for Progressively Censored Data Analysis, Quality and Reliability Engineering International, 30 (5), 2014, p711 - 722Journal Article, 2014, TARA - Full Text
  • Mimi Zhang and Matthew Revie, Model selection with application to gamma process and inverse Gaussian process, CRC/Taylor & Francis Group, European Safety and Reliability Conference 2016, Glasgow, Sep, 2016Conference Paper, 2016, TARA - Full Text
  • Mimi Zhang, Weighted Clustering Ensemble: A Review, Pattern Recognition, 124, 2022, p108428Journal Article, 2022, TARA - Full Text
  • Mimi Zhang, Forward-Stagewise Clustering: An Algorithm for Convex Clustering, Pattern Recognition Letters, 128, 2019, p283 - 289Journal Article, 2019, TARA - Full Text
  • Min Xie and Mimi Zhang, Discussion of "Virtual age, is it real?", Applied Stochastic Models in Business and Industry, 37, (1), 2021, p30 - 31Journal Article, 2021
  • Mimi Zhang, A Heuristic Policy for Maintaining Multiple Multi-State Systems, Reliability Engineering and System Safety, 203, 2020, p107081Journal Article, 2020, TARA - Full Text
  • Muhannad Ahmed Obeidi, Medad Monu, Cian Hughes, Declan Bourke, Merve Nur Dogu, Joshua Francis, Mimi Zhang, Inam Ul Ahad and Dermot Brabazon, Laser beam powder bed fusion of nitinol shape memory alloy (SMA), Journal of Materials Research and Technology, 14, 2021, p2554-2570Journal Article, 2021, DOI , URL
  • Joshua Tobin and Mimi Zhang, DCF: An Efficient and Robust Density-Based Clustering Method, 2021 IEEE International Conference on Data Mining (ICDM), 2021, p629 - 638Journal Article, 2021, TARA - Full Text
  • Mimi Zhang, Matthew Revie and John Quigley, Saddlepoint Approximation for the Generalized Inverse Gaussian Levy Process, Journal of Computational and Applied Mathematics, 411, 2022, p114275Journal Article, 2022, TARA - Full Text
  • Mimi Zhang and Bin Liu, Discussion of signature‐based models of preventive maintenance, Applied Stochastic Models in Business and Industry, 2022, p1 - 2Journal Article, 2022
  • Nuno Neto, Sinead O'Rourke, Mimi Zhang, Hannah Fitzgerald, Aisling Dunne and Michael Monaghan, Non-Invasive classification of macrophage polarisation by 2P-FLIM and machine learning, eLife, 11, 2022, pe77373Journal Article, 2022
  • Mimi Zhang and Andrew Parnell, Review of Clustering Methods for Functional Data, ACM Transactions on Knowledge Discovery from Data , 2023Journal Article, 2023
  • Bernard Fares and Mimi Zhang, Incorporating Ignorance within Game Theory: An Imprecise Probability Approach, International Journal of Approximate Reasoning, 2023Journal Article, 2023, TARA - Full Text
  • Joshua Tobin, Chin Pang Ho and Mimi Zhang, Reinforced EM Algorithm for Clustering with Gaussian Mixture Models, Proceedings of the 2023 SIAM International Conference on Data Mining (SDM), 2023Journal Article, 2023, TARA - Full Text
  • Joshua Tobin and Mimi Zhang, A Theoretical Analysis of Density Peaks Clustering and the Component-wise Peak-Finding Algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Journal Article, 2023, TARA - Full Text

Research Expertise

As with most statisticians and data scientists, my research is built on math, probability & statistics and algorithms, with applications in various fields (manufacturing, materials, health, etc.). I like to deal with data-analysis problems that involve mathematical statistics and optimization.

  • Title
    FLImagin3D: Fluorescent Lifetime Imaging Microscopy in Biomedical Applications
    beneficiary of the 2021 MSCA Doctoral Networks FLImagin3D, working on fluorescence microscopy data analysis
    Funding Agency
    European Union
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  • Title
    I-Form, the SFI Research Centre for Advanced Manufacturing
    funded investigator for I-Form Phase 1 (Nov/2017-Oct/2023) and Phase 2, working on AM process feedback and control
    Funding Agency
    Science Foundation Ireland
    Date From
    Nov/2023 (Phase 2)
    Date To
  • Title
    artificial intelligence approaches to addressing mental health inequalities in Ireland through improved diet and lifestyle
    Funding Agency
    Higher Education Authority
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    Date To