菜单总览
— 优秀师资 —

张齐军

职位:

教授

教育背景:

学士(南京理工大学)

博士(麦克马斯特大学)

研究领域
用于高速/高频电子设计的建模,优化和神经网络,微波/毫米波电路设计,电磁建模和优化
个人网站

http://www.doe.carleton.ca/~qjz/

Email

qjzhang@cuhk.edu.cn

个人简介:


张齐军于1987年获得加拿大麦克马斯特大学电子工程博士学位。1988年至1990年,他在加拿大安大略省的Optimization Systems Associates Inc.担任研究工程师,开发用于微波建模和设计的高级优化软件。他于1990年加入加拿大卡尔顿大学电子系,现任校长教授。张博士还是天津大学微电子学院的兼职教授。他的研究兴趣是高速/高频电子设计的建模,优化和神经网络,在该领域发表了280多种出版物。
张博士是IEEE会士,加拿大工程院院士。他于2010年入选中国千人计划。他是IEEE微波理论与技术期刊和国际数值模拟期刊的编辑委员会成员,国际射频和微波计算机辅助工程期刊的副主编,还是IEEE微波理论与技术(MTT)协会CAD(MTT-1)技术委员会的联合主席。


学术著作:


[1]          W.C. Na, W.Y. Liu, L. Zhu, F. Feng, J.G. Ma and Q.J. Zhang, “Advanced extrapolation technique for neural-based microwave modeling and design,” IEEE Transactions on Microwave Theory and Techniques, (accepted May 20, 2018)

[2]          C. Zhang, J. Jin, W.C. Na, Q.J. Zhang and M. Yu, “Multivalued neural network inverse modeling and applications to microwave filters,” IEEE Transactions on Microwave Theory and Techniques, (accepted May 5, 2018)

[3]          J.N. Zhang, C. Zhang, F. Feng, W. Zhang, J.G. Ma and Q.J. Zhang, “Polynomial chaos-based approach to yield driven EM optimization,” IEEE Transactions on Microwave Theory and Techniques, (accepted March 31, 2018)

[4]          W. Zhang, F. Feng, V. Gongal-Reddy, J.N. Zhang, S. Yan, J.G. Ma and Q.J. Zhang, “Space mapping approach to electromagnetic centric multiphysics parametric modeling of microwave components,” IEEE Transactions on Microwave Theory and Techniques, vol. 66, no. 7, pp. 3169-3185, July 2018.

[5]          Q. Liu, J. Liu, R. Sang, J. Li and Q.J. Zhang, “Fast neural network training on FPGA using quasi-Newton optimization method,” IEEE Transactions on VLSI, (accepted on March 15, 2018).

[6]          C. Zhang, F. Feng, Q.J. Zhang and J.W. Bandler, “An enhanced cognition-driven formulation of space mapping for equal-ripple optimization of microwave filters,” IET Microwaves Antennas and Propagation, vol.12, no. 1, pp. 82-91, 2018.

[7]          F. Feng, V. Gongal-Reddy, C. Zhang, J.G. Ma and Q.J. Zhang, “Parametric modelling of microwave components using adjoint neural networks and pole-residue transfer functions with EM sensitivity analysis,” IEEE Transactions on Microwave Theory and Techniques, vol. 65, no. 6, pp. 1955-1975, June 2017.

[8]          W.Y. Liu, W.C. Na, L. Zhu, J.G. Ma and Q.J. Zhang, “Wiener-type dynamic neural network approach to the modeling of nonlinear microwave devices,” IEEE Transactions on Microwave Theory and Techniques, vol. 65, no. 6, pp. 2043-2062, June 2017.

[9]          W.C. Na, F. Feng, C. Zhang and Q.J. Zhang, “A unified automated parametric modeling algorithm using knowledge-based neural network and l1 optimization”, IEEE Transactions on Microwave Theory and Techniques, vol. 65, no. 3, pp. 729-745, March 2017.

[10]      J. Gu, H. Fu, W.C. Na, Q.J. Zhang and J.G. Ma, “Fast and automated electromigration analysis for CMOS RF PA design,” Journal of Electronic Testing, vol. 33, no. 1, pp. 133-140, Feb. 2017.

[11]      V. Gongal-Reddy, F. Feng, C. Zhang, S. Zhang and Q.J. Zhang, “Parallel decomposition approach to gradient based EM optimization”, IEEE Transactions on Microwave Theory and Techniques, vol. 64, no. 11, pp. 3380 – 3399, November 2016.

[12]      L. Zhu, K.H. Liu, W.Y. Liu, Q.J. Zhang, H.F. Wu, Y.T. Ma and B. Peng, “An advanced analytical neuro-space mapping technique with sensitivity analysis for transistor modeling,” International Journal of Numerical Modeling: Electronic Networks, Devices and Fields, vol. 30, no. 6, Nov. 2016.

[13]      L. Zhu, Q.J. Zhang, K. Liu, Y. Ma, B. Peng and S. Yan, “A novel dynamic neuro-space mapping approach for nonlinear microwave device modeling,” IEEE Microwave and Wireless Component Letters, vo. 26, no. 2, pp. 131-133, February 2016.

[14]      V. Gongal-Reddy, S. Zhang, C. Zhang and Q.J. Zhang, “Parallel computational approach to gradient based EM optimization of passive microwave circuits”, IEEE Transactions on Microwave Theory and Techniques, vol. 64, no. 1, pp. 44-59, January 2016.

[15]      F. Feng, C. Zhang, J. Ma and Q.J. Zhang, “Parametric modeling of EM behavior of microwave components using combined neural networks and pole-residue based transfer functions,” IEEE Transactions on Microwave Theory and Techniques, vol. 64, no. 1, pp. 60-77, January 2016.

[16]      Q. Liu and Q.J. Zhang, “Accuracy improvement of energy prediction for solar energy powered embedded systems,” IEEE Transactions on Very Large Scale Integration Systems, vol. 24, no. 6, pp. 2062-2074, June 2016.

[17]      Q. Liu, M. Gao, Q.J. Zhang, “Knowledge-based neural network model for FPGA logical architecture development,” IEEE Transactions on Very Large Scale Integration Systems, vol. 24, no. 2, pp. 664-677, February 2016.