CV Available Upon Request

Zhu, Q. and Qin, S.J., 2019. Dynamic latent variable regression for data modeling and monitoring. Submitted to AIChE Journal.

Zhu, Q. and Qin, S.J., 2019. Supervised diagnosis of quality and process faults with canonical correlation analysis. Industrial & Engineering Chemistry Research.

Liu, Q., Zhu, Q., Qin, S.J. and Chai, T., 2018. Dynamic concurrent kernel CCA for strip thickness relevant fault diagnosis of continuous annealing processes. Journal of Process Control, 67, pp.12-22.

Zhu, Q., Liu, Q. and Qin, S.J., 2017. Concurrent quality and process monitoring with canonical correlation analysis. Journal of Process Control, 60, pp.95-103.

Zhu, Q., Wang, N. and Zhang, L., 2014. Circular genetic operators based RNA genetic algorithm for modeling proton exchange membrane fuel cells. International Journal of Hydrogen Energy, 39(31), pp.17779-17790.

CV 2019 - Qinqin Zhu