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马海平

2012年06月17日 00:00  点击:[]

l 个人简介

马海平,男,1981年10月生,浙江诸暨人,工学博士,副教授。2004年7月获绍兴文理学院物理学学士学位,2007年7月获太原理工大学控制理论与控制工程硕士学位,2014年11月获上海大学控制理论与控制工程博士学位,其博士论文获中国系统仿真学会优秀博士学位论文。2015年10月起在浙江大学工业控制技术国家重点实验室网络传感与控制研究组从事博士后研究。2007年8月起至今,一直在绍兴文理学院数理信息学院从事教学和科研工作,多次获得校级先进个人和优秀教师,并入选校拔尖人才第三层次。教学方面主讲课程为模拟电子技术、物联网概论等专业基础课,科研方面主要研究方向为进化计算,滤波算法与估计理论等。目前主持国家自然科学基金项目1项(61305078),市公益性技术应用研究计划项目1项(2013B70004),已主持完成省自然科学基金项目1项(Y1090866),获浙江省自然科学基金优秀论文奖1项,校级科研成果一等奖1项、二等奖1项。近五年来已在国内外权威期刊上以第一作者发表SCI论文20余篇,单篇SCI他引最高130次,相关成果Google Scholar他引已超500次。同时指导国家级大学生创新创业训练计划项目1项(201310349001),浙江省大学生科技创新活动计划暨新苗人才计划项目2项(2014R426007、2015R428029)。

l 工作经历

² 2016.01-至今:绍兴文理学院数理信息学院 副教授

² 2011.01-2015.12:绍兴文理学院数理信息学院 讲师

² 2007.09-2010.12:绍兴文理学院数理信息学院 助教

² 2015.10-至今:浙江大学工业控制技术国家重点实验室 博士后

l 教育背景

² 2011.09-2014.11:上海大学机自学院控制理论与控制工程 工学博士学位

² 2004.09-2007.07:太原理工大学自动化学院控制理论与控制工程 工学硕士学位

² 2000.09-2004.07:绍兴文理学院数理信息学院物理学 理学学士学位

l 研究兴趣

² 进化计算及应用,滤波算法与估计理论,嵌入式系统设计,无线传感网络

l 科研项目

² 2014.01-2016.12:生物地理学智能同步优化算法及其在下肢假肢中的应用研究,国家自然科学基金(青年项目),主持人

² 2010.01-2011.12:岛屿生态学优化算法的关键技术及其在多关联复杂系统中的应用研究,浙江省自然科学基金(面上项目),主持人

² 2013.01-2015.06:网络化智能高端数字喷墨印花控制系统研制,绍兴市公益性技术应用研究计划项目,主持人

l 指导学生

² 2015.01-2016.12:基于无线传感网络的废水污染源在线监测系统研发,国家级大学生创新创业训练计划项目,指导老师

² 2014.01-2015.06:基于物联网的智能楼宇节能监控系统研发,浙江省大学生科技创新活动计划暨新苗人才计划项目,指导老师

² 2015.01-2016.06:基于机器视觉的曲轴止推片质量检测系统研发,浙江省大学生科技创新活动计划暨新苗人才计划项目,指导老师

l 发表论文

² 期刊论文

1. Haiping Ma, Dan Simon, Minrui Fei andHongweiMo, “Interactive Markov models of optimization search strategies”,IEEE Transactions onSystems, Man, and Cybernetics: Systems,DOI: 10.1109/TSMC.2015.2507588, in press.

2. Haiping Ma, Dan Simon and Minrui Fei, “Statistical mechanics approximation of biogeography-based optimization”,Evolutionary Computation,DOI: 10.1162/EVCO_a_00160, in press.

3. Haiping Ma, Sengang Ye, Dan Simon, and Minrui Fei, “Conceptual and numerical comparisons of swarm intelligence optimization algorithms”,Soft Computing,DOI: 10.1007/s00500-015-1993-x,in press.

4. Haiping Ma, Minrui Fei, and Zhile Yang, “Biogeography-based optimization for identifying promising compounds in chemical process”,Neurocomputing, 2016, 174: 494-499.

5. Haiping Ma, Shufei Su, Dan Simon, and Minrui Fei, “Ensemble multi-objective biogeography-based optimization with application to automated warehouse scheduling”,Engineering Applications of Artificial Intelligence, 2015, 44: 79-90.

6. Haiping Ma, Minrui Fei, Dan Simon, andHongweiMo, “Update-based evolution control: A new fitness approximation method for evolutionary algorithms”,Engineering Optimization, 2015, 47(9): 1177-1190.

7. Haiping Ma,Minrui Fei,Dan Simon, and Zixiang Chen, “Biogeography-based optimization in noisy environments”,Transactions of the Institute of Measurement and Control, 2015, 37(2): 190-204.

8. Haiping Ma, Dan Simon, Minrui Fei, Xinzhan Shu, and Zixiang Chen, “Hybrid biogeography-based evolutionary algorithms”,Engineering Applications of Artificial Intelligence, 2014, (30): 213-224.

9. Haiping Ma, Dan Simon, and Minrui Fei, “On the convergence of biogeography-based optimization for binary problems”,Mathematical Problems in Engineering, 2014, ID: 147457, 11 pages.

10. Haiping Ma, Minrui Fei, Zhile Yang, Haikuan Wang, “Wireless networked learning control system Based on Kalman filter and biogeography-based optimization method”,Transactions of theInstituteofMeasurementand Control, 2014, 36 (2): 224-236.

11. Haiping Ma, Dan Simon, Minrui Fei, and Zixiang Chen, “On the equivalences and differences of evolutionary algorithms”,Engineering Applications of Artificial Intelligence, 2013, 26 (10): 2397-2407.

12. Haiping Ma, Dan Simon, Minrui Fei and Zhikun Xie, “Variations of biogeography-based optimization and Markov analysis”,Information Sciences, 2013, 220 (1):492-506.

13. Haiping Ma, Xieyong Ruan and Zhangxin Pan, “Handling multiple objectives with biogeography-based optimization”,International Journal of Automation and Computing. 2012, 9 (1): 30-36.

14. Haiping Maand Dan Simon,“Analysis of Migration Models of Biogeography-Based Optimization Using Markov Theory”,Engineering Applications of Artificial Intelligence, 2011,24 (6): 1052-1060.

15. Haiping Maand Dan Simon, “Blended biogeography-based optimization for constrained optimization”,Engineering Applications of Artificial Intelligence, 2011,24 (3): 517-525.

16. Haiping Ma, Xieyong Ruan and Zhangxin Pan, “Genetic interacting multiple model algorithm based on H∞filter for maneuvering target tracking”,International Journal of Control, Automation, and Systems, 2011, 9 (1): 125-131.

17. Haiping Ma, “An analysis of the equilibrium of migration models for biogeography-based optimization”,Information Sciences, 2010, 180 (18): 3444-3464.

18. Haiping Ma,Huan Li, and Xieyong Ruan, “Species migration-based optimization algorithm and performance analysis”,Control Theory and Application, 2010, 27 (3): 329-334.

19. Haiping Ma,Xue Li, and Shengdong Lin, “Analysis of migration rate models for biogeography-based optimization”,Journal ofSoutheastUniversity(Natural Science Edition), 2009, 39(S1): 16-21.

20. Haiping Ma, Zidong Chen, and Zhangxin Pan, “Evolutionary algorithm based on species migration optimization”,Control and Decision, 2009, 24 (11): 1620-1624.

21. Haiping Ma, Xieyong Ruan, Minjie Zhu, and Baogen Jin, “Robust H∞filter algorithm for vehicle tracking under road situation”,Acta Electronica Sinica, 2008, 36 (12): 2363-2366.

22. Haiping Ma, and Zidong Chen, “Fuzzy variable structure interacting multiple model algorithm based on H∞filter”,Acta Electronica Sinica, 2008, 36 (2): 245-249.

² 会议论文

1. Haiping Ma, Minrui Fei, and Zhiguo Ding, “Biogeography-based optimization with ensemble of migration models for global numerical optimization”,2012 IEEE World Congress on Computational Intelligence (WCCI), Brisbane, Australia, 2012: 2981-2988, (2012).

2. Haiping Ma, Xieyong Ruan and Baogen Jin, “Oppositional ant colony optimization algorithm and its application to fault monitoring”,Proceedings of the 29th Chinese Control Conference, Beijing, China, 2010: 1238-1242, (2010).

3. Haiping Maand Dan Simon, “Biogeography-based optimization with blended migration for constrained optimization problems”,Proceedings of the Genetic and Evolutionary Co, mputation Conference (GECCO),Portland,Oregon,USA,2010: 417-418, (2010).

4. Haiping Ma, Shengdong Lin and Baogen Jin, “Oppositional particle swarm optimization algorithm and its application to fault monitor”,Proceedings of the 2009 Chinese Conference on Pattern Recognition, Nanjing, China, 2009: 458-462, (2009).

5. Haiping Ma,Suhong Ni and Man Sun, “Equilibrium species counts and migration model tradeoffs for biogeography-based optimization”,Proceedings of the48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, Shanghai, China, 2009: 3306-3310, (2009).

l 所获奖励

² 中国系统仿真学会优秀博士学位论文,2015.10

² 浙江省自然科学基金优秀论文奖,2012.10

² 绍兴文理学院自然科学类成果一等奖,2012.06

² 绍兴文理学院自然科学类成果二等奖,2015.06

l 学术兼职

为下列期刊审稿人;

1. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (更名为:IEEE Transactions on Cybernetics)

2. IEEE Transactions on Evolutionary Computation

3. IEEE Transactions on Industrial Electronics

4. IEEE Transactions on Vehicular Technology

5. IEEE Communications Letters

6. Information Sciences

7. Applied soft computing

8. Engineering Application of Artificial Intelligence

9. Soft Computing

10. Neurocomputing

11. Engineering Optimization

12. Transactions of theInstituteofMeasurementand Control

13. Mathematical Problems in Engineering

14. Aerospace Science and Technology

15. Applied Mathematics and Computation

16. Swarm and Evolutionary Computation

17. Systems Science and Control Engineering

18. Control and Decision

19. Control Theory and Application

20. International Journal of Computer Aided Engineering and Technology

21. Journal of Applied Mathematics

22. Journal of Network and Computer Application

23. ……



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