李中华

副教授

李中华,博士,中山大学电子与信息工程学院副教授、硕士生导师,广东省电子技术高级工程师,原国家超级计算广州中心(广州超算中心)副主任

学术型研究生招生专业:1. 检测技术与自动化装置;2. 模式识别与智能系统

专业学位型研究生招生专业:1. 电子与通信工程;2. 控制工程;3. 计算机技术;4. 软件工程

主要研究方向为物联网与智能大数据应用(物联网与云计算应用,大数据与智慧城市应用),在RFID通讯协议及安全技术、嵌入式计算与微机电系统、计算智能与智能控制、智能物联云平台及数据分析等方面有较深入的研究。近年来,主持国家自然科学基金面上项目、国家自然科学基金青年科学基金项目、教育部博士点科研基金项目、广东省教育部科技部产学研合作项目、广东省自然科学基金、广东省高科技发展专项、广州市科学研究项目、地方科技计划及企事业单位委托开发应用课题等重要项目20余项,在国际权威期刊上发表SCI学术论文近20篇,改编/翻译专业名著9部,申请(授权)发明专利10项。2015年11月在香港举行的国际顶级学术会议TENCON2015上,论文被授予Professional Award。

欢迎有志于从事物联网、云计算、大数据研究与发展的优秀大学生报考。原“985工程”大学、“211工程”大学、各省市高水平大学以及获得地区性学科竞赛一等奖以上的学生将优先考虑。

联系邮箱:lizhongh@mail.sysu.edu.cn

学术兼职和社会服务: 

广东省高性能计算学会常务理事

香港广州创新及科技协会常务理事

广东省青年科学家协会理事

广东省发明协会理事

广州市科学技术协会委员

广州市大数据产业联盟理事

广东省智能制造产业联盟专家委员会委员

广州市大数据产业联盟专家委员会委员

广东省工程建设标准(信息技术应用类)编制委员会专家

中国系统仿真学会《系统仿真学报》编委

肇庆市物联网智能监控工程技术研究开发中心主任

2015-2016穗港澳台科技产业(大数据)发展论坛秘书长

2016穗港IT应用系统开发大赛秘书长

教育经历: 

2002/09-2005/07,华南理工大学,自动化科学与工程学院,博士。

2000/09-2002/07,华南理工大学,电子与信息学院,硕士(硕博连读)。

1994/09-1998/07,沈阳工业学院(现更名为沈阳理工大学),自动控制系,学士。

研究方向: 

主要研究方向为:物联网与智能大数据应用(物联网与云计算应用,大数据与智慧城市应用)。

科研项目: 

[1] 稀疏/密集RFID移动阅读器防碰撞算法研究,国家自然科学基金面上项目,2015-2018。

[2] 固定/移动/混合式RFID阅读器防碰撞资源智能规划方法研究,国家自然科学基金青年科学基金,2013-2015。

[3] 基于人工免疫算法的垂直交通智能调度理论与方法研究,教育部高等学校博士学科点科研基金项目,2009-2011。

[4] RFID阅读器网络防碰撞智能规划方法研究,广东省自然科学基金面上项目,2013-2015。

[5] 基于RFID的中山市进出口业务信息管理系统开发与示范推广,广东省教育部科技部产学研结合专项资金项目,2008-2010。

[6] 用于智能手机的低功耗高可靠环境智能芯片研制,广东省科技计划工业攻关项目,2013-2015。

[7] 900V高耐压低功耗光MOS继电器芯片研制,广东省高科技发展专项资金项目,2014-2016。

[8] 面向智慧城市物流应用的RFID信息服务平台,肇庆市产学研合作项目,2013-2016。

代表性科研成果: 

国际期刊论文(SCI

[1] Zhonghua Li, Jianming Li, Shanjin Wang, Chenpei Tang, Minghua Xia, “Comparative performance analysis of various artificial immune networks applied to RFID reader-to-reader collision avoidance”, Applied Soft Computing, vol.32, pp.553-567, 2015.

[2] Zhonghua Li, Jianming Li, Chunhui He, Chenpei Tang and Jieying Zhou, “RFID reader-to-reader collision avoidance model with multiple-density tag distribution solved by artificial immune network optimization”, Applied Soft Computing, vol. 30, pp. 249-264, 2015.

[3] Zhonghua Li, Chunhui He, Jianming Li and Xiao Huang, “RFID reader anti-collision algorithm using adaptive hierarchical artificial immune system”, Expert System With Applications, vol. 41, no. 5, pp. 2126-2133, 2014.

[4] Zhonghua Li, Jianming Li and Chunhui He, “Artificial immune network-based anti-collision algorithm for dense RFID readers”, Expert System With Applications, vol. 41, no. 10, pp. 4798-4810, 2014.

[5] Zhonghua Li, Chunhui He, Jianming Li and Hong-Zhou Tan, “Adaptive hierarchical artificial immune system and its application in RFID reader collision avoidance, Applied Soft Computing, vol. 21, pp.119-138, 2014.

[6] Zhonghua Li, Chunhui He, “Optimal scheduling-based RFID reader-to-reader collision avoidance method using artificial immune system”, Applied Soft Computing, vol. 13, no. 5, pp. 2557-2568, 2013.

[7] Zhonghua Li, Chunhui He and Hong-Zhou Tan, “AINet-SL: artificial immune network with social learning and its application in FIR filter designing”, Applied Soft Computing, vol. 13, no. 12, pp. 4557-4569, 2013.

[8] Zhonghua Li, Yunong Zhang and Hong-Zhou Tan, “IA-AIS: An improved adaptive artificial immune system applied to complex optimization problems”, Applied Soft Computing, vol. 11, no. 8, pp. 4692-4700, 2011.

[7] Zhonghua Li, “PSO-based real-time scheduling for elevator group supervisory control system”, International Journal of Intelligent Automation and Soft Computing, no. 1, pp. 111-121, 2010.

[8] Zhonghua Li and Hong-Zhou Tan, “An improved combinational clustering method based on artificial immune system and support vector machine”, Lecture Notes in Artificial Intelligence, vol.4251, pp. 153-162, 2006.

[9] Zhonghua Li and Hong-Zhou Tan, “An improved clustering method for large-scale data based on artificial immune system”, Dynamics of Continuous, Discrete and Impulsive Systems, Series B: Applications and Algorithms, pp. 920-924, 2006.

[10] Zhonghua Li, Shaobai Chen, Rirong Zheng, Jianping Wu and Zongyuan Mao, “A novel approach to clustering analysis based on support vector machine”, Lecture Notes in Computer Science, vol. 3173, pp. 565-570, 2004.

[11] Binghua Guo, Hongyue Dai, and Zhonghua Li (通讯作者), “Visual saliency-based motion detection technique for mobile robots, International Journal of Robotics and Automation, 2016. (in press)

[12] Shanjin WangZhonghua Li (通讯作者), Chunhui He, and Jianming Li, “An effective scheduling-based RFID reader collision avoidance model and its resource allocation via artificial immune network”, Mathematical Problems in Engineering, Volume 2016 (2016), Article ID 7854154, 11 pages.

[13] Dongliang Guo, Yudong Zhang, Qiao Xiang and Zhonghua Li (通讯作者),  “Improved radio frequency identification indoor localization method via radial basis function neural network”, Mathematical Problems in Engineering, Volume 2014 (2014), Article ID 420482, 9 pages.

[14] Yunong Zhang, Xuanjiao Lv, Zhonghua Li, Zhi Yang and Hong Zhu, “Effective neural remedy for drift phenomenon of planar three-link robot arm using quadratic performance index”, Electronics Letters, vol. 44, no. 6, 2008.

[15] Yunong Zhang, Xuanjiao Lv, Zhonghua Li, Zhi Yang and Ke Chen, “Repetitive motion planning of PA10 robot arm subject to joint physical limits and using LVI-based primal-dual neural network”, Mechatronics, no. 18, pp. 475-485, 2008.

国际学术会议论文

[1] Minghua Xia, Qilin Yu, Zhonghua Li (通讯作者), “Relative density based anti-collision algorithm in RFID networks with dense readers”, TENCON 2015, 2015 IEEE Region 10 Conference, Macau, China, Nov. 2015, pp.1 – 5. (Professional Award)

[2] Zhonghua Li, Hanpei Yang, Jianming Li, Chunhui He and Jieying Zhou, “An enhanced neighbour-friendly reader anti-collision algorithm in mobile RFID networks”, in Proceedings of the fourth IEEE International Conference on Information Science and Technology (ICIST2014),  Shenzhen, China, 2014, pp. 236-239.

[3] Zhonghua Li, Jianming Li, Jieying Zhou, “An improved artificial immune network for multimodal function optimization”, in the 26th Chinese Control and Decision Conference (CCDC2014), Changsha, China, 2014, pp.766-771.

[4] Zhonghua Li, Xianshu Fang, Jieying Zhou, “Optimal data clustering by using artificial immune network with elitist learning”, in the 26th Chinese Control and Decision Conference (CCDC2014), Changsha, China, 2014, pp.5192-5197.

[5] Zhonghua Li, Jianming Li, Dongliang Guo, Zhi Yang, “A could-based artificial immune network for optimization”, The 2013 9th International Conference on Natural Computation (ICNC2013), Shenyang, China, 2013, pp. 623-628.

[6] Zhonghua Li, Zijing Zhou, “An effective batching method based on artificial bee colony algorithm for order picking”, The 2013 9th International Conference on Natural Computation (ICNC2013), Shenyang, China, 2013, pp. 381-386.

[7] Zhonghua Li, Zijing Zhou, Xuedong Sun and Dongliang Guo, “Comparative study of artificial bee colony algorithms with heuristic swap operators for traveling salesman problems”, The Ninth International Conference on Intelligent Computing (ICIC2013), Nanning, China, 2013, pp. 224-233.

[8] Zhonghua Li and Chunhui He, “The AIS-SOL optimization: an artificial immune system with social learning”, The 8th International Conference on Computational Intelligence and Security (CIS2012), Guangzhou, China, 2012, pp.228-232.

[9] Zhonghua Li, Chunhui He and Hong-Zhou Tan, “An efficient adaptive artificial immune system with two swarms”, The 4th International Conference on Computational Intelligence and Software Engineering (CiSE2012), Wuhan, China, 2012, pp.5-8.

[10] Zhonghua Li and Chunhui He, “The AIS-HSL optimization: an artificial immune system with heuristic social learning”,  The IET International Conference on Information Science and Control Engineering (ICISCE2012), Shenzhen, China, 2012, pp.306-310.

专利技术

[1] 一种智能终端设备防误操作方法,中国发明专利,专利号:201410361752.0,2016年6月。(已授权)

[2] SVPWM信号发生器,中国发明专利,专利号:201010189547.2,2012年11月。(已授权)

[3] 三相三线制统一电能质量调节器的控制器设计方法与装置,中国发明专利,授权专利号:201010238688.9,2012年6月。(已授权)

[4] 一种VoIP服务器端同步混音转发方法,中国发明专利,专利号:200810028221.4,2010年11月。(已授权)

[5] 基于IP网络的数字公共广播系统,中国实用新型专利,专利号:200820128255.6,2009年6月。(已授权)

[6] 一种基于分立光MOS继电器的厨房多用食物加工设备,中国发明专利,专利申请号:201610415980.0,2016年6月。(已公开)

[7] 一种RFID标签数据智能分配及访问方法,中国发明专利,专利申请号:201410593475.6,2014年10月。(已公开)

[8] 一种RFID系统阅读器智能规划方法,中国发明专利,专利申请号:201410251082.7,2014年6月。(已公开)

[9] 一种RFID阅读器防碰撞资源二次规划方法,中国发明专利,专利申请号:201410250995.7,2014年6月。(已进入实审阶段)

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