教育背景2003/1 - 2007/7，新加坡国立大学，机械工程，博士；
1999/9 - 2002/7，华中科技大学，能源与动力工程，硕士；
1994/9 - 1998/7，武汉科技大学，机械工程系，学士；
研究方向1. 精密微细切削加工理论与智能控制技术
2. 制造信息学
3. 3D金属打印成型过程建模与智能控制
科研成果[1]Zhu K.P.,Mei T.,Ye D.S., Online condition monitoring in micro-milling: A force waveform shape analysis approach, IEEE Transactions on Industrial Electronics , 2015,62(6):3806-3813.
[2]Zhu K.P.,Lin X.,Li K., Jiang L., Compressive Sensing and Sparse Decomposition in Precision Machining Process Monitoring: From Theory to Applications, Mechatronics, 2015,31:3-15.
[3]Li K., Zhu K.P., Mei T., A generic instantaneous undeformed chip thickness model for the cutting force modeling in micromilling International Journal of Machine Tools & Manufacture: 2016 ,105 (2016)23–31.
[4]Zhu K.P., Vogel B.H., Sparse Representation and Its Applications in Micro-Milling Condition Monitoring: Noise Separation and Tool Condition Monitoring, International Journal of Advanced Manufacturing, 2014,70（3）:185- 199 .
[5]Zhu K. P.,Wong Y.S.,Loh H. T.,Lu W.F.,3D CAD Model Retrieval with Perturbed Laplacian Spectra, Computer in Industry,2012,63（3）:1-11.
[6]Zhu K.P.,Hong G.S.,Wong Y.S., Multi-Scale Singularity Analysis of Cutting Forces for Micro-Milling Tool Wear Monitoring, IEEE Transactions on Industrial Electronics,2011,58（6）:2512-2521 .
[7]Zhu K. P., Wong Y S, Lu W. F.,Loh H.T.,3D CAD Model Matching from 2D Local Invariant Features, Computer in Industry,2010,61（6）:432-439 .
[8]Zhu K.P., Wong Y.S.,Hong G.S., Multi-category Micro-milling Tool Wear Classification with Continuous Hidden Markov Models, Mechanical System and Signal Processing, 2009, 23（3）:547-560.
[9]Zhu K.P.,Wong Y.S., Hong G.S., Wavelet Analysis of Sensor Signals for Tool Condition Monitoring: some new results, International, Journal of Machine Tools & Manufacture, 2009, 49（4）:537-553 .
[10]Zhu K. P.,Wong Y.S.,Lu W.F.,Fuh J Y H,A Diffusion Wavelet Approach for 3-D Model Matching, Computer- Aided Design,2009,41（1）: 28-36.
