Research Activities

Upcoming & Ongoing

  • [2021 Nov] Invited keynote talk in the session of "Applied Artificial Intelligence, Big Data, and Data Analytics Methods for Next-Gen Manufacturing Efficiency II" at 2021 AIChE Annual Meeting

  • [2021 Oct] Our work Source-aware auto-encoder and deep residual neural network for fault detection and diagnosis will be presented in CCEC 2021 (with Nima Amini).

  • Editor of Digital Chemical Engineering

  • Reviewer for IEEE Transactions on Industrial Electronics, IEEE Transactions on Control Systems Technology, Industrial & Engineering Chemistry Research, Journal of Process Control, etc.

breakImportant News

  • [Hiring!] Our group has two Ph.D. openings for Spring and Fall 2022.

    • Please contact with Prof. Zhu if you have relevant background on machine learning, deep learning, optimization and reinforcement learning.

    • Please read the "Prospective Students" page carefully before you email me.

  • [Hiring!] We have one opening for undergraduate research assistant/co-op student/design project.

    • Minimum Qualification:

      • Good communication and presentation skills.

      • Knowledge with Machine Learning or Fortran is optional but highly demanded;

      • Familiarity and extensive experience with Matlab and chemical processes is required;

      • Interested students/groups can contact with me for more information, and please include the resume and a brief description to demonstrate your qualification. 

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Past

  • [2021 Jul] Our work Dynamic autoregressive partial least squares for supervised modeling was presented in SYSID 2021

  • [2021 May]: American Control Conference, 2021, our work comprehensive monitoring with incremental slow feature analysis was presented (with Hussein Saafan).

  • [2020 Nov]: 2020 AIChE Annual Meeting, our work Modeling and monitoring with dynamic weighted partial least squares was presented (with Bo Xu).

  • [2020 Jul]: 21st IFAC World Congress, two invited session papers: "Dynamic weighted canonical correlation analysis for auto-regressive modeling" and "Supervised block-aware factorization machine for multi-block quality-relevant monitoring".

  • [2020 Jan]: Invited talk in the department of Automation at Tsinghua University.

  • [2020 Jan]: Invited talk in the department of Industrial Engineering and Management at Peking University.

  • [2020 Jan]: Invited talk in the department of Automation at Shanghai Jiao Tong University.

  • [2020 Jan]: Invited talk in the department of Control Science and Engineering, School of Astronautics at Harbin Institute of Technology.

  • [2020 Jan]: Invited talk in the school of Automation at Huazhong University of Science and Technology.

  • [2020 Jan]: Invited talk in the school of Intelligent Systems Engineering at Sun Yat-Sen University.

  • [2019 Dec]: Invited talk in the department of Control Science and Engineering at Zhejiang University.

  • [2017 Jan]: Invited talk in State Laboratory of Synthesis Automation of Process Industries at Northeastern University, China.