张健-博士,教授,博士生导师


相关简介:2014年博士毕业于加拿大卡尔加里大学Schulich工学院设计工程专业,目前受聘汕头大学工学院机械工程学科,中国机械工程学会成组与智能集成技术分会委员会委员,广东省机械工程学会设备与维修工程分会理事会理事。先后入选广东省扬帆计划紧缺拔尖人才,广东省珠江(青年)学者,汕头大学卓越人才,汕头市拔尖人才。作为负责人先后承担了国家、省部级课题10余项,发表学术论文80余篇。学术研究成果受到国际同行的关注,获得国际学术会议最佳论文奖2次,先后7次受国际学术会议邀请就研究工作进展做主题/特邀报告。


研究领域:产品博弈与设计演化理论;销售大数据分析与需求信息挖掘;机械结构可适应性设计与优化;开放式模块化机械系统设计;电动车储能系统设计等。



研究成果:


1. Zhang J, Simeone A, Peng Q, Gu P. 2020. Dependency and correlation analysis of specifications and parameters of products for supporting design decisions. CIRP Annals – Manufacturing Technology, 69(1): 133-136.
2. Zhang J, Wu M, Peng Q, Dixit U, Gu P. 2020. Design for interface stiffness of mechanical products using integrated simulation and optimization under uncertainty, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering, 6(2): 021006 (10 pages).
3. Zhang J, Simeone A, Gu P, Hong B. 2018. Product features characterization and customers’ preferences prediction based on purchasing data. CIRP Annals – Manufacturing Technology, 67(1):149-152.
4. Zhang J, Xue G, Du H, Garg A, Peng Q, Gu P. 2017. Enhancing interface adaptability of open architecture products. Research in Engineering Design, 28(4): 545-560.
5. Zhang J, Gu P, Peng Q, Hu SJ. 2017. Open interface design for product personalization. CIRP Annals – Manufacturing Technology, 66(1): 173-176.
6. Zhang, J., Xue, D., and Gu, P. 2015. Adaptable design of open architecture products with robust performance. Journal of Engineering Design, 26(1-3): 1-23.
7. Zhang, J., Chen, Y., Xue, D., and Gu, P. 2014. Robust design of configurations and parameters of adaptable products. Frontiers of Mechanical Engineering, 9(1): 1-14.
8. Zhang J, Chu X, Simeone A, Gu P. 2020. Machine learning-based design feature decision support tool via customers purchasing data analysis. Concurrent Engineering: Research and Applications, 28: DOI: 10.1177/1063293X20963313.
9. Zhang J, Lv D, Simeone A. 2020. Artificial Neural Network-based multi sensor monitoring system for collision damage assessment of Lithium-ion battery cells. Energy Technology, 2020, 2000031 (12 pages).
10. Zhang J, Liu X, Chen C, Simeone A. 2020. An intelligent deformation-based approach to the SoH estimation of collided lithium-ion batteries for facilitating battery module safety evaluation. Energy Technology, doi.org/10.1002/ente.202000624.