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G栋420
电子邮件:zhao.yi@hit.edu.cn
联系电话:0755-26035689

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、动力系统、复杂网络、生物数学和数据科学。2012年8至2012年9月在西澳大利亚大学访问教授,2018年2-3月和8月-9月在西澳大利亚大学担任高级访问学者、访问教授。来校以来先后主持完成国家自然科学基金课题1项,广东省自然科学基金1项和深圳市基础研究课题8项。目前,主持在研项目包括国家自然科学基金面上项目1项,孔雀计划技术创新项目1项,深圳市基础研究计划项目1项。近五年时间已发表SCI期刊论文29篇,SSCI教学论文1篇,国际会议论文10篇,获得国家发明专利4项,出版英文专著1部。他始终秉持坚持教书育人的信念,积极投身教学。其教学事迹获南方教育时报采访报道,并获得哈工大教学成果二等奖。

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、数据科学
***招收博士生两名,欢迎报考咨询***  ***招聘博士后研究员2-3名/年,年薪人民币18.2万元,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)
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
2009.08-2016.09  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
2018.02-03; 08-09  西澳大利亚大学 数学与统计学院 高级访问学者;访问教授
2014.08-09  香港大学 统计与精算学系 访问研究员
2012.07-09  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(连任)

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, 20万, 主持
2013-2015  深圳市基础研究计划,浮动车数据多时空尺度支持系统研究,80万,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,77万,主持
2018-2019  深圳基础研究计划, 面向大数据研究的复杂系统表征方法及应用, 50万,主持
2016-2018  深圳教育科学规划项目(重点),面向辅助决策的教育大数据可视化研究,5万,主持
2016-2018  教育部在线教育课题,基于数据驱动反馈的翻转课堂在线化模式研究,9万,主持
2016-2018  深圳市教育综合改革重大研究课题,创客”教育理论与实践研究,18万,主持
2019-2020  深圳市孔雀计划技术创新项目,80万,主持

科研成果及奖励

2017.11  基于大数据的研究生混合教学模式研究-以应用随机过程课为例, 哈尔滨工业大学研究生教学成果二等奖

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] Slobodan Maletic, Yi Zhao, “Simplicial Complexes in Complex Systems: In Search for Alternatives” Harbin Institute of Technology Press (十二·五国家重点图书出版规划项目,国家科学技术学术出版基金资助).
[2] 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(部分)
[1] Andu Zhou, Slobodan Maletic, Yi Zhao, "Robustness and percolation of holes in complex networks," Physica A, vol.492, pp.1419-1430, 2018.
[2] Slobodan Maletic, Yi Zhao, “Hidden multidimensional social structure modeling applied to biased social perception,” Physica A, vol.492, pp.1419-1430, 2018.
[3] Bin . Pang, Yi Zhao, Z.Y. Xiu, “A new definition of order relation for the introduction of algebraic fuzzy closure operators,” International Journal of Approximate Reasoning, vol.92, pp.87-96, 2018.
[4] Marzieh Najariyan, Yi Zhao, “Fuzzy fractional quadratic regulator problem under granular fuzzy fractional derivatives,” IEEE Transactions on Fuzzy Systems, DOI 10.1109/TFUZZ.2017.2783895, 2017.
[5] Jianfeng Luo, Yi Zhao, “Stability and bifurcation analysis in a predator–prey system with constant harvesting and prey group defence,” International Journal of Bifurcation and Chaos, vol.27, 1750179, 2017.
[6] Slobodan Maletic, Yi Zhao, “Multilevel integration entropies: the case of reconstruction of structural quasi-stability in building complex datasets,” Entropy, vol.19(172), 2017.
[7] Vikram Sagar,Yi Zhao, "Collective effect of personal behavior induced preventive measures and differential rate of transmission on spread of epidemics," Chaos, vol.27,023115, 2017.
[8] 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.
[9] Bin Pang, Yi Zhao, "L-fuzzy N-convergence structures," Journal of Intelligent and Fuzzy Systems, vol.30, pp. 3033, 2016.
[10] Bin Pang, Yi Zhao, "Topologies induced by pointwise L-fuzzifying quasi-uniformities," Journal of Intelligent and Fuzzy Systems, vol.30, pp. 3025–3031, 2016.
[11] Bin Pang, Yi Zhao, “Characterizations of L-convex spaces,” Iranian Journal of Fuzzy Systems, vol.13, pp.51-61, 2016.
[12] Bin Pang, Yi Zhao, “Further results on L-ordered fuzzifying convergence spaces,” Iranian Journal of Fuzzy Systems, vol.13, pp.77-92, 2016.
[13] Bin Pang, Yi Zhao, “Stratified (L, M)-fuzzy Q-convergence spaces,” Iranian Journal of Fuzzy Systems, vol.13, pp. 95-111, 2016.
[14] Slobodan Maletic, Yi Zhao,Milan Rajkovic, "Persistent topological features of dynamical systems," Chaos, vol.26,053105,2016.
[15] 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.
[16] 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.
[17] 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.
[18] 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
[19] Zijun 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.
[20] Yunyun 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.
[21] Zijun 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
[22] Yi Zhao, Tongfeng Weng, Michael Small, "Response of the parameters of a neural network to pseudoperiodic time series," Physica D, vol. 268, pp79-90, 2014.
[23] Yi Zhao, Tongfeng Weng, Defeng(David) Huang, "Lévy walk in complex networks: An efficient way of mobility," Physica A, vol. 396, pp.212–223, 2014.
[24] Yunyun Yang, Yi Zhao, Boying 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.
[25] 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.

会议论文及发表演说

会议论文
[1] Y .Y . Yang, Yi Zhao, B.Y . Wu, H.P. Wang, “A Note on Convex Image Segmentation Model Based on Local and Global Intensity Fitting Energy,” The IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 149-152, 2014.
[2] Y .Y . Yang, Yi Zhao, B.Y . Wu, H.P. Wang, “Unsupervised Active Contour Model for Multiphase Inhomogeneous Image Segmentation,” The 48th Annual Conference on Information Sciences and Systems, pp. 1-5, 2014.
[3] Y .Y . Yang, Yi Zhao, B.Y . Wu, “Improved Segmentation Model Combining Region and Edge Information for Inhomogeneous Images,” The 48th Annual Conference on Information Sciences and Systems, pp. 1-5, 2014.
[4] Y .Y . Yang, Yi Zhao, “Efficient Active Contour Model Based on Vese-Chan Model and Split Bregman Method,” IEEE International Conference on Visual Communications and Image Processing, pp. 1-6, 2013.
[5] Y .Y . Yang, Yi Zhao, B.Y . Wu, “Improved Vese-Chan Model for Fast Image Segmentation Based on Split Bregman Method,” The Seventh International Conference on Image and Graphics, pp. 201-204, 2013.
[6] Y.H. Deng, Yi Zhao, "Mathematical modeling on the force experienced by the wall during the detection of granular flows," The 2nd International Conference on Mathematical Modeling in Physical Sciences, vol.490 pp.1-4, 2013
[7] X.R. Sun, Yi 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.
[8] K.F. Wang, Yi 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.
[9] X.W. Liu, Yi Zhao, F.H. Song, “Comparative analysis of CTCSS decoding algorithms,” Proceeding of the 3rd International Congress on Image and Signal Processing, pp.32683271, 2010.
[10] H.H. Zhang, Yi 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.
[11] H. Zhang, T. Weng, Yi 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.
[12] Y . Ma, Yi 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).
[13] Y . Ma, Yi 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 Forecasting (Nice, France, 2008)
[14] G. Zhang, Yi Zhao, H. Hu, "Weight Distribution Criterion of Neural Networks for modeling Chaotic Attractors," The 2008 International Symposium on Nonlinear Theory and its Applications, Sept. 2008.

任教和任导师经历

2007年至今 哈尔滨工业大学(深圳) 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
2014级硕士研究生 培养6人/毕业6人;毕业去向:华为技术有限公司(2人);深圳南山中加学校;内蒙古自治区政府部门;
最后更新:2018-09-11 15:36:53