教师名录
赵毅
通讯地址:深圳市南山区深圳大学城哈工大校区E栋302I室
电子邮件:zhao.yi@hitsz.edu.cn
联系电话:26035689

个人简介

赵毅,哈尔滨工业大学深圳研究生院教授,博士生导师,哈尔滨工业大学深圳研究生院应用数学研究中心主任,深圳市地方级高层次专业人才,深圳市海外高层次人才。
2007年1月获得香港理工大学博士学位,研究方向包括非线性时间序列分析、非线性动力系统、复杂网络和生物数学。2011年7月到2011年8月和2012年8至2012年9月在西澳大利亚大学工程、计算机和数学学院担任访问教授。来校以来先后主持完成国家自然科学基金课题一项,广东省自然科学基金一项和深圳市南山区科技研发课题两项,并完成哈工大科研创新基金一项。目前,主持在研项目包括国家自然科学基金面上项目一项,深圳市基础研究计划项目两项。本人已发表国际期刊论文二十九篇,国际会议论文二十三篇,获得国家发明专利两项。

研究方向

非线性时间序列分析、动力系统、复杂网络、生物数学、数据挖掘

***招收博士生两名,欢迎报考咨询***  ***招聘博士后研究员两名,年薪人民币17.2万元,欢迎加盟团队*** (长期有效)



教育经历

2003-2006   香港理工大学 博士
2000-2003  浙江大学 硕士
1995-1999  中国计量学院 学士

研究与工作经历

2014至今  哈尔滨工业大学 博士生导师(数学专业)
2016.12至今  哈尔滨工业大学深圳研究生院 教授
2016.09至今  哈尔滨工业大学深圳研究生院 理学院 副院长
2011.02至2016.09  哈尔滨工业大学深圳研究生院 基础科学与人文学院 副院长
2009.082016.09  哈尔滨工业大学深圳研究生院 副教授、应用数学研究中心主任
2007.03-2009.07  哈尔滨工业大学深圳研究生院 助理教授
2014.08-2014.09  香港大学 统计与精算学系 访问研究员
2012.07-08  西澳大利亚大学 数学与统计学院 访问教授
2011.07-08  西澳大利亚大学 数学与统计学院 访问教授
2011.09-10  香港城市大学数学系 访问研究员
1999.07-2000.08  威海市邮政局 助理工程师
  

专业资质与学术兼职

2010-2014  中国生物医学工程学会 高级会员
2009年至今  IEEE学会 会员
2012年至今  深圳青年科技人才协会 理事

科研项目

2011-2013  深圳市基础研究计划(重点项目), 人体心脏系统的非线性动力特征分析及监护产品的研制, 30/30万, 主持
2009-2011  国家自然科学基金青年基金, 基于新一代替代数据技术的人体心脏系统非线性动力特征研究, 20/20万, 主持
2009-2011  广东省自然科学基金博士启动, 面向人体心脏信号的非线性动力特征研究, 3/3万, 主持
2010-2011  深圳市南山区科技研发资金, 基于GPS浮动车的路况预警及动态路径规划技术的研究, 5/5万, 主持
2009-2010  深圳市南山区科技研发资, 人体心脏系统的非线性动力特征监护产品的研究及应用, 20/20万, 主持

2009-2010  国家自然科学基金项目深圳市配套资助, 3/3万和4/4万, 主持
2015-2016  深圳市基础研究计划,面向人体心脏健康监护的智能脉搏手表的研究,10/10万,主持
2016-2017  深圳市基础研究计划,基于miRNA控制肿瘤细胞信号通道及增殖的统计推理及应用分析,10/10万,主持
2016-2019  国家自然科学基金面上项目 复杂网络与时间序列的等价转换及相互表征研究,77/35万,主持

科研成果及奖励

  

发明专利

[1]赵毅,便携式心电监测装置及心电监测系统,实用新型专利,专利号:201120201081.3 (已授权)

[2]赵毅、孙晓冉,一种心电信号动力特征分析方法,发明专利,专利号:201110203867.3 (已授权)

[3]赵毅,动态路况检测方法及系统,发明专利,专利号:201410437660.6 (已授权)

论文及著作

英文著作
[1] Y. Zhao*, “Artificial neural network modeling with application to nonlinear dynamics,” in: Computational Intelligence and its Applications, Imperial College Press, June 2012.

国际期刊
[1] Vikram Sagar,Yi Zhao, "Collective effect of personal behavior induced preventive measures and differential rate of transmission on spread of epidemics," Chao, vol.27,023115, 2017.

[2] Bin Pang, Yi Zhao, "Several types of enriched (L, M)-fuzzy convergence spaces," Fuzzy Sets and Systems, DOI:10.1016/j.fss.2016.09.001, 2016.

[3] Bin Pang, Yi Zhao, "L-fuzzy N-convergence structures," Journal of Intelligent and Fuzzy Systems, vol.30, pp. 3033, 2016.

[4] Bin Pang, Yi Zhao, "Topologies induced by pointwise L-fuzzifying quasi-uniformities," Journal of Intelligent and Fuzzy Systems, vol.30, pp. 3025–3031, 2016.

[5] Slobodan Maletic, Yi Zhao,Milan Rajkovic, "Persistent topological features of dynamical systems," Chaos, vol.26,053105,2016.

[6] Tongfeng Weng, Yi Zhao, Michael Small, "Time-series analysis of networks: exploring the structure with random walks," Physical Review E, vol.90, pp.022804 2014.

[7] Yunyun Yang, Yi Zhao, Boying Wu, "Split Bregman Method for Minimization of Fast Multiphase Image Segmentation Model for Inhomogeneous Images," Journal of Optimization Theory and Applications, vol. 166(1), pp.285-305, 2015.

[8] Yi Zhao Tongfeng Weng, Shengkui Ye, "Geometrical invariability of transformation between a time series and a complex network," Physical Review E, vol. 90, pp.012804, 2014.

[9] Xiaoran Sun, M. Small, Yi Zhao, Xiaoping Xue, "Characterizing system dynamics with a weighted and directed network constructed from time series data," Chaos, vol. 24, pp. 024402, 2014

[10] Z.J. Luo, Yi Zhao, R. Azencott, "Impact of miRNA Sequence on miRNA Expression and Correlation between miRNA Expression and Cell Cycle Regulation in Breast Cancer Cells," PloS One, vol. 9(4), pp. e95205, 2014.

[11] Y.Y. Yang, Yi Zhao, B.Y. Wu, H.P. Wang, "A Fast Multiphase Image Segmentation Model for Gray Images," Computers & Mathematics with Applications, vol. 67(8), pp. 1559-1581, 2014.

[12] Z. Luo, R. Azencott, Yi Zhao, Modeling miRNA-mRNA Interactions: Fitting Chemical Kinetics Equations to Microarray Data, BMC Systems Biology, vol.8(19) DOI: 10.1186/1752-0509-8-19, 2014

[13] Yi Zhao, T.F. Weng, M. Small, "Response of the parameters of a neural network to pseudoperiodic time series," Physica D, vol. 268, pp79-90, 2014.

[14] Yi Zhao, T.F. Weng, Defeng(David) Huang, "Lévy walk in complex networks: An efficient way of mobility," Physica A, vol. 396, pp.212–223, 2014.

[15] Y. Yang, Yi Zhao, B. Wu, “Efficient active contour model for multiphase segmentation with application to brain MR Images,” Inter. J. Pattern Recognition and Artificial Intelligence, vol.27, pp. 1355001-1-28, 2013.

[16] Henry C. W. Lau, George T. S. Ho, Yi Zhao, "A demand forecast model using a combination of surrogate data analysis and optimal neural network approach," Decision Support Systems, vol.54(3), pp.1404-1416, 2013.

[17] H. Lau, G. Ho, Yi. Zhao, W. Hon, “Optimizing patrol force deployment using a genetic algorithm,” Expert Systems with Applications, vol. 37, pp. 8148-8154, 2010.

[18] G. Ho, H. Lau, Yi Zhao, N. Chung, “Development of a process mining system for supporting knowledge discovery in a supply chain network,” Inter. J. Production Economics, vol. 122, pp.176-187, 2009.

[19] A. Ning, H. Lau, Yi Zhao, T. Wong, “Fulfillment of retailer demand by using the MDL-optimal neural network prediction and decision policy,” IEEE Trans. Industrial Informatics, vol. 5, pp.176-187, 2009.

[20] Yi Zhao, J. Sun, M. Small, “Evidence consistent with deterministic chaos in human cardiac data: surrogate and nonlinear dynamical modeling,” Inter. J. Bifurcation and Chaos, vol. 18, pp.141-160, 2008.

[21] J. Sun, Yi Zhao, T. Nakamura, and M. Small, “From phase space to frequency domain: a time-frequency analysis for chaotic time series,” Physical Review E, vol. 76, pp. 016220, 2007.

[22] J. Sun, Yi Zhao, J. Zhang, X. Luo and M. Small. "Reducing coloured noise for chaotic time series in the local phase space," Physical Review E, vol. 76, pp.026211, 2007.

[23] Yi Zhao, M. Small, D. Coward, E. Howell, C. Zhao, L. Ju, and D. Blair, “Identifying deterministic signals in simulated gravitational wave data: Algorithmic complexity and the surrogate data method,” Classical and Quantum Gravity, vol. 23, pp. 1801-1814, 2006.

[24] Yi Zhao, M. Small, “Minimum description length criterion for modeling of chaotic attractors with multi-layer perceptron networks,” IEEE Transactions on Circuits and Systems I, vol. 53, no. 3, pp. 722-732, 2006.

[25] Yi Zhao, C. Zhao, M. Small, L. Ju, and D. Blair, “Telemetry system driven by radiation power for use in gravitational wave detectors,” Review of Scientific Instruments, vol. 76, no. 8, pp. 084503, 2005.

[26] Yi Zhao, M. Small, “Equivalence between “feeling the pulse” on the human wrist and pulse pressure wave at fingertip,” International Journal of Neural Systems, vol. 15, no. 4, pp. 1-10, 2005.

会议论文及发表演说

会议论文
[1] X.R. Sun, Y. Zhao, X.P. Xue, “Analyzing spatial characters of the ECG signal via complex network method,” Proceeding of the 4th International Conference on Biomedical Engineering and Informatics, pp. 1650-1653, 2011.
[2] K.F. Wang, Y. Zhao, T.F. Weng, X.R. Sun, “A simple way of distinguishing chaotic characteristics in ECG Signals,” Proceeding of the 3rd International Conference on Biomedical Engineering and Informatics, pp. 713-716, 2010.
[3] X.W. Liu, Y. Zhao, F.H. Song, “Comparative analysis of CTCSS decoding algorithms,” Proceeding of the 3rd International Congress on Image and Signal Processing, pp. 3268-3271, 2010.
[4] H.H. Zhang, Y. Zhao, T.F. Weng, “Detecting the longest periodic timescale in normal vowels,” Proceeding of 2010 International Conference on Audio, Language and Image Processing, pp. 1753-1757, 2010.
[5] H. Zhang, T. Weng, Y. Zhao*, “Nonlinear dynamical detection of normal vowels using PPS algorithm and WDP of neural networks,” Proceeding of the 2nd International Conference on Biomedical Engineering and Informatics, pp.1-4, 2009.
[6] Y. Ma, Y. Zhao, Y. Fan, H. Hu, and X. Zhang “Modeling the Dynamics of the Human Pulse Data by MDL-optimal Neural Networks,” 2008 International Conference on Biomedical Engineering and Informatics ( Hainan, China, 28-30 May 2008).
[7] Y. Ma, Y.Zhao, Y. Fan, H. Hu and X. Zhang, "Prediction of Fast and Slow Dynamics Based on the Diploid Model with Neural Networks," The 2008 International Symposium on Forecastin (Nice, France, 2008)
[8] G. Zhang, Y.Zhao, H. Hong, "Weight Distribution Criterion of Neural Networks for modeling Chaotic Attractors," The 2008 International Symposium on Nonlinear Theory and its Applications, Sept. 2008.
[9] Y. Zhao, M. Small, “Deterministic chaos of human cardiac signals,” The 2006 International Symposium on Nonlinear Theory and its Applications (Bologna, Italy, 11-14 September 2006).
[10] S. Wu, S. Hau, and Y. Zhao, “an adaptive algorithm for digital predistortion,” the 10th IEEE International Conference on Communication Systems (Singapore, 30 Oct.-1 November, 2006).
[11] Y. Zhao, M. Small, “Deterministic propagation of blood pressure waveform from human wrists to fingertips,” Lecture notes in Computer Science, vol. 3177, pp. 142-147, 2004.

任教和任导师经历

2007年至今 哈尔滨工业大学深圳研究生院 教师、博士生导师  2006级硕士研究生 培养3人/毕业3人;毕业去向:东软公司;香港浸会大学-北京师范大学联合国际学院;北京某金融公司。
2007级硕士研究生 培养4人/毕业4人;毕业去向:哈工大博士生;东方通信股份有限公司;华为技术有限公司;香港浸会大学-北京师范大学联合国际学院。
2008级硕士研究生 培养3人/毕业3人;毕业去向:哈工大博士生;哈尔滨电机厂有限公司;北京搜狗软件公司。
2009级硕士研究生 培养3人/毕业3人;毕业去向:香港浸会大学-北京师范大学联合国际学院;深圳先进技术研究院(两人)。
2010级硕士研究生 培养4人/毕业4人;毕业去向:哈工大博士生;深圳市邦健医疗器械有限公司;北京美团网;深圳先进技术研究院;
2011级硕士研究生 培养5人/毕业5人;毕业去向:哈工大博士生(两人);北京电信下属公司;深圳宇龙计算机通信科技有限公司;
2012级硕士研究生 培养5人/毕业5人;毕业去向:华为技术有限公司;中兴通信;美商天睿信息系统有限公司;建设银行深圳分行。
2013级硕士研究生 培养6人/毕业6人;毕业去向:云南电信;毕马威;北京税务局;珠海和诚智益资本;中国联通哈尔滨
最后更新:2017-04-14 00:00:00