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总体介绍

姓名:范 衠
职称:系主任/ 教授

教授,博士生导师

工学院电子信息工程系主任

广东省数字信号与图像处理技术重点实验室主任

汕头大学

邮箱地址:   zfan@stu.edu.cn

 

学习经历

1.        2000年8月至2004年5月,Michigan State University (密歇根州立大学) 电子工程系  博士  导师:Erik Goodman教授

2.        1995年9月至2000年7月,华中科技大学 自动控制工程系 硕士  导师:汪秉文教授

3.        1991年9月至1995年7月,华中科技大学 自动控制工程系 本科  导师:汪秉文教授

 

工作经历

1.        2014年9月至今,广东省数字信号与图像处理技术重点实验室主任

2.        2012年4月至今,汕头大学工学院教授,系主任

3.        2011年5月至2012年3月,美国密歇根州立大学BEACON中心研究员

4.        2008年1月至2011年4月, 丹麦科技大学管理工程系终身副教授

5.        2007年7月至2007年12月, 丹麦科技大学机械工程系终身副教授

6.        2004年6月至2007年6月,丹麦科技大学机械工程系助理教授

7.        2000年8月至2004年5月, 歇根州立大学, 电子与计算机科学系, 研究助理

 

学术兼职

1.        2016年5月至今,华南理工大学客座教授

2.        2011年5月至今,同济大学客座教授

3.        2009年9月2010年9月, 北京理工大学客座教授

4.        2008年5月至2008年8月, 法国贡比涅工学院访问副教授

5.        2007年9月至2010年9月,武汉理工大学客座教授

 

科研情况

 

研究兴趣

计算智能, 智能控制, 机器人, 人工智能, 设计自动化, 进化计算, 机器学习, 机器视觉

 

主要荣誉

1.        2017, 汕头市“五一劳动奖章”

2.        2016, 中国侨界贡献奖创新人才奖

3.        2015, 中国商业联合会科学技术奖三等奖(排名第一)

4.        2014,中组部青年千人

5.        2014,   汕头市优秀人才奖 青年英才奖

6.        2013,广东省‘扬帆计划’引进紧缺拔尖人才

7.        2012, 中国商业联合会科学技术奖三等奖(排名第一)

8.        2010,IEEE 高级会员

9.        2009,Alectia Fond Award 阿莱克第亚基金奖

10.    2003,GECCO Best-Paper Award Finalist 进化计算国际会议最佳论文奖提名

11.    2000,Rockwell Automation Scholarship 洛克威尔自动化奖学金

 

科研项目

1.        2015-2018主持广东普通高校国际暨港澳台合作创新及国际合作重大项目“基于进化计算的智能机器人系统自动优化设计”,项目编号:2015KGJH2014,项目经费180万元人民币

2.        2015-2018主持中组部国家千人计划青年人才项目“复杂机电系统的集成智能研究”,项目经费100万元人民币

3.        2014-2017主持广东省“扬帆计划”拔尖人才项目“复杂机电系统的集成智能研究”,项目经费100万元人民币

4.         2014-2017主持广东高校国家级重大培育项目,2014GKXM044,复杂机电系统的集成智能研究,68万元

5.        2014-2017主持广东省教育厅“机电一体化系统的智能设计框架及其应用研究”,项目经费40万元人民币

6.        2014-2018参与科研项目“分布式计算智能理论及应用”,国家自然基金,项目编号:61332002,资助经费310万元人民币

7.        2013-2015主持省数控一代项目“粤东数控一代创新应用综合服务平台”,项目编号:2013B011304002,经费500万,其中省财政专项资金200万元人民币

8.        2012-2015主持科研项目“混合机电系统的控制器和被控对象并行进化设计研究”,  该项目由中国国家自然科学基金面上项目资助,基金资助号为 61175073, 资助经费60万元人民币

9.        2013-2015主持科研项目“机电一体化系统的智能设计及其应用研究”,汕头大学科研启动经费项目,项目编号:NTF12024,资助经费100万元人民币

10.    2013-2017 参与科研项目“面向多样化需求的开放式结构产品可适应设计”,国家自然科学基金项目,项目编号:51375289,资助经费90万元人民币

11.    2011-2012联合主持科研项目“Evolutionary Design of Bio-inspired Fish-type Flying Robot Actuated by Artificial Muscles (由人造肌肉驱动的仿生鱼形飞行机器人进化设计) ”,该项目由美国国家科学基金会赞助BEACON中心用于运动演化的研究。(美国国家科学基金会项目编号No. DBI-0939454,资助金额98,040美元)

12.    2010-2011, 获得Hans Christian Ørsted Postdoc Fond 博士后基金(丹麦科技大学项目编号95-4248-81082, 资助金额50万丹麦克朗)

13.    2009,Alectia Fond Award Recipient阿莱克第亚基金奖获得者,由于在健康医疗领域的工作和其他11人共同获得,奖励金额25万丹麦克朗

14.    2009,获得Otto Mønsted Fond 奥特.孟思德基金资助访问教授 (丹麦科技大学项目编号:95-4248-81070,资助金额19.5万丹麦克朗)

15.    2008-2011 主持科研项目“On Key Technical Issues to Commercialize Hospital Robotic Transportation Systems (商业化医院用交通机器人系统的关键技术研究) ”,该项目由企业FORCE Technology Inc和 Danish Agency for Science Technology and Innovation 丹麦科技和创新局(相当于中国国家自然科学基金会)共同资助(研究局项目编号07-023362, 丹麦科技大学项目编号95-4248-80817,资助金额2.064 百万丹麦克朗)

16.    2008-2011主持科研项目“Direct Vision Based Molten Pool Feature Extraction in Automated Arc Welding (基于视觉感知的熔池特征提取和自动焊接控制)”,该项目由企业FORCE Technology Inc, 和 Danish Agency for Science Technology and Innovation丹麦科技和创新局(相当于中国国家自然科学基金会)共同资助(研究局项目编号08-032306, 丹麦科技大学项目编号95-4248-80924,资助金额2.054百万丹麦克朗)

17.    2007-2010主持国际合作研究项目“Automated Design of Advanced Mechatronic Systems (高级机电系统的自动设计)”,该项目由Danish Agency for Science Technology and Innovation丹麦科技和创新局(相当于中国国家自然科学基金会)资助(研究局项目编号645-06-0186, 丹麦科技大学项目编号95-4248-80844,资助金额1.64百万丹麦克朗)

18.    2007获得Otto Mønsted Fond 奥特.孟思德基金资助访问教授 (丹麦科技大学项目编号95-4248-80846, 资助金额18万丹麦克朗)

19.    2004-2006, 作为成员参与欧盟教育项目,“Asia Link – Promoting and Assisting Engineering Design Education in China (连接亚洲– 提升中国的工程设计教育)”. 欧盟项目编号ASI/B7-301/98/679-09

20.    2000-2004, 作为成员参与美国自然基金项目,“Automated Design of Mechatronic Systems Using Bond Graphs and Genetic Programming (基于功率键图和基因编程的机电系统自动设计)”,美国自然基金会项目编号DMI 0084934

 

 受邀报告

1.        2017年5月赴西安参加第四届演化计算与学习研讨会(ECOLE),并受邀做大会报告,报告题目《基于进化算法的机器人系统设计自动化研究与应用》

2.        2017年4月赴长沙参加武器装备人工智能应用研讨会,并受邀做大会报告,报告题目《知识自动化体系下机器人系统的集成智能研究》

3.        2016年12月赴湖北武汉参加ICIICII(International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration)国际会议, 受邀做大会报告, 报告题目《Embedding Intelligence in Robotic Systems》

4.        2016年11月赴江苏南京参加2016年(第十届)江苏省并联运动装备与机器人技术研讨会, 受邀做大会报告, 报告题目《机器人系统的智能设计与开发》

5.        2016年11月赴广东佛山参加2016年“数据科学与工业4.0”国际学术论坛, 受邀做大会报告, 报告题目《Embedding Intelligence in Robotic Systems》

6.        2016年7月赴加拿大温哥华参加IEEE世界计算智能大会(IEEE WCCI),受邀做大会报告, 报告题目《When Evolutionary Computation Meets Data Mining》

7.        2016年5月赴江苏苏州参加第三届(2016)国际机器人及智能装备大会,受邀做大会报告, 报告题目《农业智能移动机器人设计自动化研究》

8.        2015年赴广西桂林参加机器人与自动化研讨会, 受邀做大会报告, 报告题目《Embedding Intelligence in Robotic Systems》

9.        2015年6月,赴西交利物浦大学做了题为《机电系统的集成智能》专题讲座。

10.    2015年5月,赴江苏吴江参加RIE 2015国际机器人及智能装备大会,受邀做大会报告,报告题目《机器人系统的集成智能研究》。

11.    2015年赴广东东莞参与中国机器人及智能装备峰会, 受邀做大会报告, 报告题目《机器人系统的集成智能研究》

12.    2015年5月, 主持研讨会, 研讨会主题《When Evolutionary Computation Meets Data Mining》, IEEE Congress on Evolutionary Computation (CEC)会议, 日本仙台

13.    2014年遗传与进化计算国际会议,大会报告,报告题目《动力学系统的进化综合》。

14.    2014年首届进化计算与机器学习研讨会,大会报告,报告题目《复杂机电系统的集成智能研究》。

15.    2012年第三届软件工程国际会议(WCSE2012),大会报告,报告题目《机电系统的集成智能》。

16.    2012年IEEE计算智能国际会议(WCCI2012),大会报告,报告题目《基于进化方法的机电系统设计自动化》。

17.    2010年11月,赴台湾国立中正大学,受邀做了题为《机电系统的嵌入式智能》专题报告。

18.    2010年11月,赴密西根州立大学BEACON国家科技工程中心,受邀做了题为《基于进化算法的机电系统自动设计》专题报告。

 

论文发表情况

 

学术专著

1.        Zhun Fan, “Mechatronic Design Automation - An Emerging Research and Recent Advances”, Nova Science Publisher 2011, ISBN: 978-1-61668-956-8

2.        Zhao Xu, Zhun Fan (editors), “Evolutionary Computing for Intelligent Power System Optimization and Control”, Nova Science Publisher 2010, ISBN:978-1-61728-031-3

 

投稿中的期刊论文

1.        Zhun Fan, Jiewei Lu, Wenji Li, Caimin Wei, Han Huang, Xinye Cai, Xinjian Chen. Unsupervised Blood Vessel Segmentation of Fundus Images Based on Image Matting and Hierarchical Growth Algorithm. IEEE Transaction on Image Processing. (已投稿)

2.        Zhun Fan, Jiewei Lu, Maoguo Gong, Honghui Xie, and Erik Goodman. Automatic Tobacco Plant Detection in UAV Images via Deep Neural Networks. IEEE Trsanction on Geoscience and Remote Sensing. (已投稿)

3.        Tie-jun Yang, Yao-wen Chen, and Zhun Fan(*). Color- and Texture-guided Sampling with Level Sets for Pigmented Skin Lesion Segmentation. Integrated Computer-Aided Engineering. (已投稿)

4.        Tie-jun Yang, Yao-wen Chen, and Zhun Fan(*). Vegetation segmentation based on level set using multi-channel local wavelet texture. Signal, Image and Video Processing.(已投稿)

5.        Zhun Fan, Wenji Li, Xinye Cai, et al. An Improved Epsilon Constraint-handling Mehtod in MOEA/D for CMOPs with Large Infeasible Regions. Soft Computing. (已投稿).

6.        Fan Z, Li W, Cai X, et al. Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit[J]. arXiv preprint arXiv:1612.07603, 2016. (准备投稿到IEEE Transaction on Cybernatics)

 

国际期刊论文

 

1.  Zhun Fan, Yibiao Rong, Xinye Cai, Jiewei Lu, Wenji Li, Huibiao Lin and Xinjian Chen*. Optic Disk Detection in Fundus Image Based on Structured Learning.  IEEE Journal of Biomedical and Health Informatics. 2017.  SCI, EI, IF= 3.4509, 工程技术2区 (in press)

2.        Liu J, Fan Z*, Olsen S I, et al. Boosting Active Contours for Weld Pool Visual Tracking in Automatic Arc Welding, IEEE Transactions on Automation Science and Engineering. 2017. SCI, EI, IF= 3.502, 工程技术2 (in press)

3.        Cai, X., Yang, Z., Fan Z*, & Zhang, Q. Decomposition-based-sorting and angle-based-selection for evolutionary multiobjective optimization. Cybernetics, IEEE Transactions on. 2016. SCI, EI, IF= 7.384, 控制论 1. (in press)

4.        Chen, L., Liu, H., Fan Z, Xie, S., & Goodman, E..Modeling the tracking area planning problem using an evolutionary multi-objective algorithm. IEEE Computational Intelligence Magazine. 2016 SCI, EI, IF= 6.343, 工程技术2. (in press)

5.        Huang H, Ye S, Fan Z, et al. Evolutionary programming with a simulated-conformist mutation strategy[J]. Soft Computing, 2016: 1-18. SCI, EI, IF= 2.472.

6.        Cai, X., Li, Y., Fan, Z.*, & Zhang, Q. (2015). An external archive guided multiobjective evolutionary algorithm based on decomposition for combinatorial optimization. Evolutionary Computation, IEEE Transactions on,19(4), 508-523. SCI, EI, IF= 10.629, 人工智能1.

7.        Jean-François Dupuis, Zhun Fan*, Erik D. Goodman, “Evolutionary design of discrete controllers for hybrid mechatronic systems”. Int. J. Systems Science 46(2): 303-316 (2015). SCI, EI, IF= 2.285, 理论方法2.

8.        Cai, X., Cheng, X., Fan, Z.*, Goodman, E., & Wang, L. (2015). An adaptive memetic framework for multi-objective combinatorial optimization problems: studies on software next release and travelling salesman problems. Soft Computing, 1-22. SCI, EI, IF=2.472.

9.        Jiang, D., Li, L., Hu, B., Fan, Z. (2015). An approach for prediction of acute hypotensive episodes via the Hilbert-Huang transform and multiple genetic programming classifier. International Journal of Distributed Sensor Networks, 2015, 9. SCI, EI, IF= 1.239.

10.    Zhun Fan, Yibiao Rong, Xinye Cai, Heping Chen, Weihua Sheng and Fang Li, “Detection of Optic Disk based on Saliency Map”, Real time Computing and Robotics, SpringerOpen Journal, Robotics and Biomimetics, 2015

11.    Jiang, D., Li, L., Gong, J., & Fan, Z. (2015). Optimal trajectory searching based differential evolution. International Journal of Wireless and Mobile Computing, 8(4), 384-393. SCI, EI, IF=0. 976.

12.    Jiang D, Fan Z.* The Algorithm for Algorithms: An Evolutionary Algorithm Based on Automatic Designing of Genetic Operators[J]. Mathematical Problems in Engineering, 2014. SCI, IF=0.802.

13.    Qiao Li, Baihai Zhang, Lingguo Cui, Zhun Fan, V. Vasilakos Athanasios, “Epidemics on small worlds of tree-based wireless sensor networks”. J. Systems Science & Complexity 27(6): 1095-1120 (2014). SCI, EI, IF=0.556.

14.    Zhenzhou Hu, Xinye Cai, Zhun Fan, “An improved memetic algorithm using ring neighborhood topology for constrained optimization”. Soft Comput. 18(10): 2023-2041 (2014). SCI, EI, IF=2.472.

15.    Xinye Cai, Zhenzhou Hu, Zhun Fan, “A novel memetic algorithm based on invasive weed optimization and differential evolution for constrained optimization”. Soft Comput. 17(10): 1893-1910 (2013). SCI-E, EI, IF=2.472.

16.    Jean F. Dupuis, Zhun Fan*, Erik Goodman, “Evolutionary Design of Both Topologies and Parameters of a Hybrid Dynamical System”, IEEE Trans. Evolutionary Computation 16(3): 391-405 (2012). SCI, EI, IF = 10.629, 人工智能1.

17.    Li Qiao, Zhang Bai-Hai, Cui Ling-Guo, Fan Zhun, and Athanasios V. Vasilakos, “Immunizations on small worlds of tree-based wireless sensor networks”, Chinese Physics B, Vol. 21, No. 5, 2012, DOI: 10.1088/1674-1056/21/5/050205. SCI, EI, IF= 1.223.

18.    Z. Zhou,B. Chen,H. Wang, Z. Fan, “Study on the evolutionary optimization of the topology of network control systems”, Enterprise Information System, Special Issue (Vol 4, Issue 2): Challenges and Solutions in Enterprise Computing, March 2010. SCI, IF = 1.908.

19.    P. Wang, L. Xu, S-M. Zhou, Z. Fan, Y. Li, S. Feng, “A Novel Bayesian Learning Method for Information Aggregation in Modular Neural Networks”, Expert Systems with Applications, Volume 37, Issue 2, 2010, pp. 1071-1074. SCI, EI, IF = 3.928, 工程技术2.

20.    Zhun Fan, Jinchao Liu, Torben Sørensen, Pan Wang, “Improved Differential Evolution Based on Stochastic Ranking for Robust Layout Synthesis of MEMS Components”, IEEE Transactions on Industrial Electronics, Vol. 56, No. 4, pp. 937-948, 2009. SCI, EI, IF = 7.168, 工程技术1.

21.    Wang Pan, Feng Shuai, Fan Zhun, “Some Issues of the Paradigm of Multi-learning Machine - Modular Neural Networks”, International Journal of Distributed Sensor Networks, vol. 5, No. 1, pp. 46, 2009. SCI, IF=1.239.

22.    Yong Wang, Zixing Cai, Yuren Zhou, Zhun Fan, “Constrained Optimization Based on Hybrid Evolutionary Algorithm and Adaptive Constraint-Handling Technique”, Structural and Multidisciplinary Optimization, Vol. 37, No. 4, pp. 395-413, 2009. SCI, EI, IF= 2.377, 力学2.

23.    Jiachuan Wang, Zhun Fan, Janis Terpenny, Erik Goodman, “Cooperative body-brain coevolutionary synthesis of mechatronic systems”, AI EDAM , Vol.22, No.3, Special Issue on Genetic Programming for Human-Competitive Designs, 2008, 219-234, Cambridge University Press. SCI, EI, IF=0.803.

24.    Zhun Fan, Jiachuan Wang, Erik Goodman, Ronald Rosenberg, “Structured Evolutionary Synthesis of MEMS Using Evolutionary Approaches”, Journal of Applied Soft Computing, vol: 8, issue: 1, pages: 579-589, 2008, Elsevier Science Publishers. SCI, EI, IF=3.541, 工程技术2.

25.    Wang Pan, Li You-feng, Fan Zhun, Feng Shuai, “Methodological research for dynamic integration of modularized neural network’s sub-networks”, Systems Engineering and Electronics, Vol. 30, No. 6, pp 88-92, (in Chinese), 2008.  SCI, EI, IF=0.529.

26.    Su Yong-yan, Wang Pan, Fan Zhun, “A Genetic Algorithm based on a Novel Constraints Addressing Method”, Computer Engineering and Application. 43(14):71-72, (in Chinese), 2007

27.    Wang Pan, Fan Zhun, Li Youfeng, “Dynamic Integration of Modular Neural Network’s Sub-networks”, Dynamics of Continuous, Discrete and Impulsive Systems, Series B: Applications & Algorithms, volume 13-supplement, pp.2280-2283, 2006

28.    Jiang Changfan, Yang Kaiying, Wang Pan, Fan Zhun, Han Ming, “Robust Optimization Design of MEMS Based on GA”, Computer and Digital Engineering, 34(8): pp. 135-137 (In Chinese), 2006

29.    Jiachuan Wang, Zhun Fan, Janis P. Terpenny, and Erik D. Goodman, “Knowledge Interaction with Genetic Programming in Mechatronic Systems Design Using Bond Graphs”, IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, Special Issue on Knowledge Extraction and Incorporation in Evolutionary Computation Vol 35, No. 2, 2005, pp 172-182. EI, IF=2.35.

30.    J. Hu, E. D. Goodman, K. Seo, Z. Fan, R. C. Rosenberg, “The Hierarchical Fair Competition (HFC) Model for Continuing Evolutionary Algorithms/Machines”, Journal of Evolutionary Computation Vol.13, No. 2, pp. 241-277, 2005. SCI, EI, IF= 3.826, 工程技术2.

31.    Z. Fan, K. Seo, R. Rosenberg, J. Hu, E. Goodman, “A Novel Evolutionary Engineering Design Approach for Mixed-Domain Systems”. Engineering Optimization, Vol. 36, No.2, April 2004, pp127-147 (SCI-E, EI  IF = 1.728)

32.    Zhun Fan, Jiachuan Wang, and Erik Goodman, “Exploring Open-Ended Design Space of Mechatronic Systems”, International Journal of Advanced Robotic Systems, Vol. 1, No. 4, pp 295-302, 2004. SCI, EI, IF= 0.987.

33.    K. Seo, Z. Fan, J. Hu, E. Goodman, R. Rosenberg, “Toward an Automated Design Method for Multi-Domain Dynamic Systems Using Bond Graphs and Genetic Programming”.  Mechatronics 13 (8-9), 2003, pp: 851-885. SCI, IF = 2.496.

34.    K. Seo, J. Hu, Z. Fan, E. D. Goodman, and R. C. Rosenberg, “Automated Design Approaches for Multi-Domain Dynamic Systems Using Bond Graphs and Genetic Programming”, The International Journal of Computers, Systems and Signals, vol.3, no.1, pp.55-70, 2002.

35.    Tan Jingtao, Fan Zhun and Qin Yi. “Analysis and Design of Variable Structure Type Fuzzy Speed Controller for Field-Oriented Induction Motor Drive System”. Journal of Control Theory and Applications, Vol.17, No.6, Dec., 2000, pp: 873-877. SCI, EI, IF= 2.536, 仪器仪表 2.

36.    Fu Yuli, Zhao Yong, Fan Zhun, Liao Xiaoxin, “Bi-directional Associative Memory Model with Delays”, Journal of Huazhong University of Science and Technology, 28(7), 2000, pp. 80-82. SCI, EI, IF=0.964.

37.    B. Wang, Z. Fan, X. Kang, “Development of Genetic Algorithm Toolbox in Matlab”, Journal of Wuhan Automotive Polytechnic University, 21(6), 1999, pp: 25-28.

38.    B. Wang, Z. Fan, Y. Liang, “A Direct Design Method of Fuzzy Logic Controller using Genetic Algorithm”, Journal of Huazhong University of Science and Technology, 26(5), 1998, pp: 81- 90. SCI, IF=0.964.

 

书籍章节

1.       Yang, Zhixiang, Xinye Cai, and Zhun Fan, “A Sorting Based Selection for Evolutionary Multiobjective Optimization.” Bio-Inspired Computing--Theories and Applications. Springer Berlin Heidelberg, 2015. 538-549.

2.       Zhun Fan, Kristoffer Raun, Lars Hein, and Hans-Erik Kiil, “Application of Artificial Muscles as Actuators in Engineering Design”, in Advanced Design and Manufacture to Gain a Competitive Edge - New Manufacturing Techniques and their Role in Improving Enterprise Performance, Eds. Xiu-Tian Yan, Chengyu Jiang and Benoit Eynard, Springer London, pp 875-884, 2008

3.       Lars Hein, Zhun Fan, “Constraints and Shortfalls in Engineering Design Practice”, in Advanced Design and Manufacture to Gain a Competitive Edge -New Manufacturing Techniques and their Role in Improving Enterprise Performance, Eds. Xiu-Tian Yan, Chengyu Jiang and Benoit Eynard, Springer London, pp 13-20, 2008

4.       J.Liu, Z. Fan, T. Soerensen, Z. Xu, P. Wang, “Robust Layout Synthesis of MEMS Using Constrained Adaptive Differential Evolution Algorithm”, accepted in Soft Computing: New Research, Nova Scientific Publisher, 2008

5.       J. Hu, Z. Fan, J. Wang, X. Peng, K. Seo, J. Terpenny, R. Rosenberg, and E. Goodman, “GPBG: A Framework for Evolutionary Synthesis of Multi-Domain Engineering Systems”, in Design by Evolution, Natural Computing Series, Eds. Kalyanmoy Deb, Springer Berlin Heidelberg pp 319-345, 2008

6.       Zhun Fan, Jiachuan Wang, Min Wen, Sofiane Achiche, Erik Goodman, Roanld Rosenberg, “An Evolutionary Approach for Robust Layout Synthesis of MEMS”, in Evolutionary Computation in Dynamic Environment, edited by S. Yang and Y. Jin, Springer Verlag Heidelberg, pp. 519-542, 2007

7.       Zhun Fan, Mogens Andreasen, Jiachuan Wang, Erik Goodman, Lars Hein, “Towards an Evolvable Engineering Design Framework for Interactive Computer Design Support of Mechatronic Systems”, in Integrated Intelligent Systems for Engineering Design, edited by Xuan F Zha and R. J. Howlett, IOS Press, pp 182-198, 2006

8.       Zhun Fan, Jiachuan Wang, and Erik Goodman, “Exploring Open-Ended Design Space of Mechatronic Systems”, in Cutting Edge Robotics, edited by Vedran Kordic, Aleksandar Lazinica, Munir Merdan, published by p1V pro literatur Verlag Robert Mayer-Scholz, Mammendorf, Germany, pp 707-726, 2005

9.       Zhun Fan, Jiachuan Wang, Kisung Seo, Jianjun Hu, Ronald Rosenberg, Janis Terpenny, and Erik Goodman, “Automating the Hierarchical Synthesis of MEMS Using Evolutionary Approaches”, in Evolvable Machines – Theory & Practice, edited by Nadia Nedjah and Luiza de Mecedo Mourelle, published by Springer-Verlag, Heidelberg, pp129-149, 2004

 

Refereed Conferences 会议论文

1.        Zhun Fan, Wenji Li, Xinye Cai, et.al. (2017, June). A Comparative Study of Constrained Multi-objective  Evolutionary Algorithms on Constrained Multi-objective Optimization Problems. IEEE Congress on Evolutionary Computation 2017, Spain.

2.        Zhun Fan, Jiewei Lu, YiBiao Rong. (2016, December). Automated Blood Vessel Segmentation of Fundus Images Using Region Features of Vessels. The 2016 IEEE Symposium Series on Computational Intelligence, Greece.

3.        Zhun Fan, Wenji Li, Xinye Cai, et.al. (2016, December). An Improved Epsilon Constraint Handling Method Embedded in MOEA/D for Constrainted Multi-objective Optimization Problems. The 2016 IEEE Symposium Series on Computational Intelligence, Greece.

4.        Yang Xiao, Zhun Fan, Wenji Li, Shen Chen, Lei Zhao, Honghui Xie. (2016, December). A Manipulator Design Optimization Based on Constrained Multi-objective Evolutionary Algorithms. In Industrial Informatics-Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2016 International Conference on. IEEE.

5.        Lei Zhao, Zhun Fan, Wenji Li, Honghui Xie, Yang Xiao. (2016, December). 3D Indoor Map Building with Monte Carlo Localization in 2D Map. In Industrial Informatics-Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2016 International Conference on. IEEE.

6.        Honghui Xie, Zhun Fan, Wenji Li, Yibiao Rong, Yang Xiao, Lei Zhao. (2016, December). Tobacco Plant Recognizing and Counting Based on SVM. In Industrial Informatics-Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2016 International Conference on. IEEE.

7.        Zhun Fan, Wenji Li, Xinye Cai, Kaiwen Hu, Huibiao Lin & Hui Li, Angle-based Constrained Dominance Principle in MOEA/D for Constrained Multi- objective Optimization Problems. 2016 IEEE World Congress on Computational Intelligence (WCCI 2016).

8.        Zhu Chunyang, Cai Xinye, Fan Zhun and Muhammad Sulaman, A Two phase Many Objective Evolutionary Algorithm with Penalty Based Adjustment for Reference Lines. 2016 IEEE World Congress on Computational Intelligence (WCCI 2016).

9.        Zhun Fan, Jiajie Mo. (2016 ). Automated Blood Vessel Segmentation Based on De-noising Auto-encoder and Neural Network. The International Conference on Machine Learning and Cybernetics (ICMLC)

10.    Zhun Fan, Yibiao Rong, Jiewei Lu, Jiajie Mo, Fang Li, Xinye Cai and Tiejun Yang. (2016, June). Automated Blood Vessel Segmentation in Fundus Image Based on Integral Channel Features and Random Forests. The 12th World Congress on Intelligent Control and Automation (WCICA)

11.    Zhun Fan, Youxiang Zuo, Fang Li, and Shuangxi Wang. (2016, June). Design of A Diamond Adsorption Detection System Based on Machine Learning Techniques. The 12th World Congress on Intelligent Control and Automation (WCICA)

12.    Liu, J., Fan, Z., Olsen, S. I., Christensen, K. H., & Kristensen, J. K. (2015, August). A real-time passive vision system for robotic arc welding. In Automation Science and Engineering (CASE), 2015 IEEE International Conference on (pp. 389-394). IEEE.

13.    Fan, Z., Zuo, Y., Jiang, D., & Cai, X. (2015, May). Prediction of acute hypotensive episodes using random forest based on genetic programming. In Evolutionary Computation (CEC), 2015 IEEE Congress on (pp. 688-694). IEEE.

14.    Fan, Z., Rong, Y., Cai, X., Li, F., Li, W., & Lin, H. (2015, June). Detecting optic disk based on AdaBoost and active geometric shape model. In Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on (pp. 311-316). IEEE

15.    Zefeng, Y., Fang, L., Yibiao, R., Yaowen, C., & Zhun, F*. (2015, June). Design of a multichannel biomedical signal acquisition system based on Cortex-M4 processor. In Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on (pp. 1023-1027). IEEE.

16.    Zhun Fan, Yibiao Rong, Xinye Cai, Wenji Li, Huibiao Lin, Zefeng Yu and Jiewei Lu, Detecting Optic Disk Based on Structured Learning, IEEE International Conference on Robotics and Biomimetics (ROBIO),2015, December 6-9, Zhuhai, China ,in press.

17.    Fan, Z., Hu, K., Yin, H., Li, W., & Lin, H. (2015, December). Decomposing a Multiobjective Optimization Problem into a Number of Reduced-Dimension Multiobjective Subproblems Using Tomographic Scanning. In Industrial Informatics-Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2015 International Conference on (pp. 71-75). IEEE.

18.    Fan, Z., Li, W., Cai, X., Li, H., Hu, K., & Yin, H. (2015, December). An Improved Ideal Point Setting in Multiobjective Evolutionary Algorithm Based on Decomposition. In Industrial Informatics-Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2015 International Conference on (pp. 63-70). IEEE.

19.    Fan, Z., Li, W., Cai, X., Li, H., Hu, K., & Yin, H. (2015, December). Difficulty Controllable and Scalable Constrained Multi-objective Test Problems. InIndustrial Informatics-Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2015 International Conference on(pp. 76-83). IEEE.

20.    Fan, Z., Huang, H., Li, W., Xie, S., Cai, X., & Goodman, E. (2015, August). An opposition-based repair operator for multi-objective evolutionary algorithm in constrained optimization problems. In Natural Computation (ICNC), 2015 11th International Conference on (pp. 330-336). IEEE.

21.    Li, Y., Cai, X., Fan, Z., & Zhang, Q. (2014, July). An external archive guided multiobjective evolutionary approach based on decomposition for continuous optimization. In Evolutionary Computation (CEC), 2014 IEEE Congress on(pp. 1124-1130). IEEE.

22.    Cai, X., Cheng, X., & Fan, Z. (2014, July). A probabilistic pareto local search based on historical success counting for multiobjective optimization. InProceedings of the 2014 conference companion on Genetic and evolutionary computation companion (pp. 1163-1168). ACM.

23.    Fan, Z., Cai, X., Li, W., Lin, H., Xie, S., & Wang, S. (2014, July). Evolutionary synthesis of dynamical systems: the past, current, and future. In Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion (pp. 1169-1174). ACM.

24.    Li, W., Fan, Z., Cai, X., Lin, H., Xie, S., & Wang, S. (2014, July). Design optimization of MEMS using constrained multi-objective evolutionary algorithm. In Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion (pp. 1175-1180). ACM.

25.    Yang, Z., Cai, X., & Fan, Z. (2014, July). Epsilon constrained method for constrained multiobjective optimization problems: some preliminary results. In Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion (pp. 1181-1186). ACM.

26.    Lin, H., Fan, Z., Cai, X., Li, W., Wang, S., Li, J., & Zhang, C. (2014). Hybridizing Infeasibility Driven and Constrained-Domination Principle with MOEA/D for Constrained Multiobjective Evolutionary Optimization. InTechnologies and Applications of Artificial Intelligence (pp. 249-261). Springer International Publishing.

27.    Jiang, D., Peng, C., Fan, Z., Chen, Y., & Cai, X. (2013, April). Modified binary differential evolution for solving wind farm layout optimization problems. In Computational Intelligence for Engineering Solutions (CIES), 2013 IEEE Symposium on (pp. 23-28). IEEE.

28.    Jiang, D., Peng, C., & Fan, Z. (2013, December). Evolutionary Algorithm Based on Automatically Designing of Genetic Operators. In Computational Intelligence and Security (CIS), 2013 9th International Conference on (pp. 66-70). IEEE.

29.    Ying, S., Ji, S., Wang, Z., & Fan, Z. (2013, December). Output properties of cellular artificial actuator. In Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on (pp. 2369-2373). IEEE.

30.    Liu, C. J., Seo, K., Fan, Z., Tan, X. B., & Goodman, E. D. (2012, November). Synthesis of Matsuoka-Based Neuron Oscillator Models in Locomotion Control of Robots. In Intelligent Systems (GCIS), 2012 Third Global Congress on (pp. 342-347). IEEE.

31.    Ozkil, A. G., Fan, Z., Xiao, J., Dawids, S., Kristensen, J. K., & Christensen, K. H. (2011, September). Mapping of multi-floor buildings: A barometric approach. In Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on (pp. 847-852). IEEE.

32.    Liu, J., Fan, Z., Olsen, S. I., Christensen, K. H., & Kristensen, J. K. (2011, August). Weld pool visual sensing without external illumination. InAutomation Science and Engineering (CASE), 2011 IEEE Conference on(pp. 145-150). IEEE.

33.    Tutum, C. C., & Fan, Z. (2011, June). Multi-criteria layout synthesis of mems devices using memetic computing. In Evolutionary Computation (CEC), 2011 IEEE Congress on (pp. 902-908). IEEE.

34.    Ozkil, A. G., Fan, Z., Xiao, J., Kristensen, J. K., Dawids, S., Christensen, K. H., & Aanæs, H. (2011, April). Practical indoor mobile robot navigation using hybrid maps. In Mechatronics (ICM), 2011 IEEE International Conference on(pp. 475-480). IEEE.

35.    Ozkil, A. G., Fan, Z., Xiao, J., Klæstrup, J., Dawids, S., Christensen, K. H., & Aanæs, H. (2010, October). Empirical evaluation of a practical indoor mobile robot navigation method using hybrid maps. In Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on (pp. 2521-2522). IEEE.

36.    Dupuis, J. F., & Fan, Z. (2010). Comparing an evolved finite state controller for hybrid system to a lookahead design. In IEEE World Congress on Computational Intelligence.

37.    Zhong, J. H., Zhang, J., & Fan, Z. (2010). MP-EDA: a robust estimation of distribution algorithm with multiple probabilistic models for global continuous optimization. In Simulated Evolution and Learning (pp. 85-94). Springer Berlin Heidelberg.

38.    Zhan, Z. H., Zhang, J., & Fan, Z. (2010). Solving the optimal coverage problem in wireless sensor networks using evolutionary computation algorithms. In Simulated Evolution and Learning (pp. 166-176). Springer Berlin Heidelberg.

39.    Gong, Y. J., Zhang, J., & Fan, Z. (2010, October). A multi-objective comprehensive learning particle swarm optimization with a binary search-based representation scheme for bed allocation problem in general hospital. In Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on (pp. 1083-1088). IEEE.

40.    Qiao, L., Lingguo, C., Baihai, Z., & Zhun-Fan, F. (2010, July). Small worlds in the tree topologies of wireless sensor networks. In Control Conference (CCC), 2010 29th Chinese (pp. 4677-4683). IEEE.

41.    Li, Q., Cui, L., Zhang, B., & Fan, Z. (2010, March). A low energy intelligent clustering protocol for wireless sensor networks. In Industrial Technology (ICIT), 2010 IEEE International Conference on (pp. 1675-1682). IEEE.

42.    Zhu, H., Wang, P., & Fan, Z. (2010, March). Evolutionary design optimization of MEMS: a brief review. In Industrial Technology (ICIT), 2010 IEEE International Conference on (pp. 1683-1687). IEEE.

43.    Liu, J., Fan, Z., Olsen, S., Christensen, K., & Kristensen, J. (2009, October). Using active contour models for feature extraction in camera-based seam tracking of arc welding. In Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on (pp. 5948-5955). IEEE.

44.    Liu, J., Fan, Z., & Goodman, E. (2009, June). SRDE: an improved differential evolution based on stochastic ranking. In Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation (pp. 345-352). ACM.

45.    Özkil, A. G., Fan, Z., Dawids, S., Aanes, H., Kristensen, J. K., & Christensen, K. H. (2009, August). Service robots for hospitals: A case study of transportation tasks in a hospital. In Automation and Logistics, 2009. ICAL'09. IEEE International Conference on (pp. 289-294). IEEE.

46.    Ali Ozkil, Zhun Fan, Steen Dawids, Henrik Aanaes, Jens Kristensen, Kim Christensen, “Visual Tags and Mobile Robots: A Review”, The 14th IASTED International Conference on Robotics and Applications, 2009

47.    Dupuis, J. F., & Fan, Z. (2009, July). Evolved finite state controller for hybrid system in reduced search space. In Advanced Intelligent Mechatronics, 2009. AIM 2009. IEEE/ASME International Conference on (pp. 833-838). IEEE.

48.    J. Liu, Z. Fan, E. Goodman, “SRaDE: An Adaptive Differential Evolution based on Stochastic Ranking”, poster and 2-p. abstract in Genetic and Evolutionary Computation Conference GECCO 2009, 1871-1872

49.    J. Dupuis, Z. Fan, E. Goodman, “Automated Design of Hybrid Dynamic Systems”, World Summit on Genetic and Evolutionary Computation (GEC) 2009, 105-112

50.    Xu, Z., Dong, Z. Y., Wong, K. P., & Fan, Z. (2009, March). Multi-objective transmission planning. In Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific (pp. 1-4). IEEE.

51.    Z. Fan, J. Liu, T. Sørensen, B. Eynard, T. Nadege, P. Christine, L.Federic, “Automated Generation of Robust Design Concepts of MEMS Components using Improved Differential Evolution”, accepted by IDMME – Virtual Concept 2008

52.    Sofiane Achiche, Wozniak Adam, Zhun Fan, Torben Sørensen, 3D CMM Strain-Gauge Triggering Probe Error Characteristics Modeling, NAFIPS 2008 - Annual Meeting of the North American Fuzzy Information Processing Society, 2008, 252-255

53.    K. Christensen, J. Liu, T. Sørensen, Z. Fan, J. Kristensen, “Vision based sensor systems for seam tracking and control in arc and hybrid laser-arc welding”, International Conference on Computer Technology in Welding and Manufacturing, Cranfield, UK 2008

54.    Fan, Z., & Achiche, S. (2007, January). Robust Layout Synthesis of a MEM Crab-Leg Resonator Using a Constrained Genetic Algorithm. In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (pp. 329-337). American Society of Mechanical Engineers.

55.    Achiche, S., Fan, Z., & Bolognini, F. (2007, June). Review of automated design and optimization of MEMS. In Industrial Electronics, 2007. ISIE 2007. IEEE International Symposium on (pp. 2150-2155). IEEE.

56.    Achiche, S., Wang, W., Fan, Z., Ozkil, A., Sorensen, T., Wang, J., & Goodman, E. (2007, July). Genetically generated double-level fuzzy controller with a fuzzy adjustment strategy. In Proceedings of the 9th annual conference on Genetic and evolutionary computation (pp. 1880-1887). ACM.

57.    Özkil, A. G., Dawids, S., Fan, Z., & Sørensen, T. (2007, June). Design of a robotic automation system for transportation of goods in hospitals. InComputational Intelligence in Robotics and Automation, 2007. CIRA 2007. International Symposium on (pp. 392-397). IEEE.

58.    Huang, R., Tong, S., Sheng, W., & Fan, Z. (2007, June). A problem solving environment for combinatorial optimization based on parallel meta-heuristics. In Computational Intelligence in Robotics and Automation, 2007. CIRA 2007. International Symposium on (pp. 432-437). IEEE.

59.    Fan, Z., Detlef, M., Andreasen, M. M., & Hein, L. (2006). Teaching system integration of mechatronic systems. In DS 36: Proceedings DESIGN 2006, the 9th International Design Conference, Dubrovnik, Croatia.

60.    Finn Conrad, Zhun Fan, Torben Sørensen, “Simulation and Embedded Smart Control”, International Conference on Computational Methods in Fluid Power Technology, pages: E 1 – 14, 2006

61.    González D., Fan Z., Sørensen T., and Fernández I. (2006) “Embedded Face Recognition for Mechatronic Devices”, the 7th International Workshop on Research and Education in Mechatronics (REM), June 15th - June 16th 2006, Stockholm

62.    Fernández I., Fan Z., Sørensen T., and González D. (2006) “On the Implementation of New Technologies for Embedded Hybrid Control”, the 7th International Workshop on Research and Education in Mechatronics (REM), June 15th - June 16th 2006, Stockholm

63.    P. Wang, Z. Fan, Y. Li, “Dynamic Integration of Modular Neural Network’s Sub-networks”, international conference on sensing, computing and automation, ICSCA 2006, Chongqing, China

64.    Zhun, S., Boelskifte, P., & Fan, Z. (2006). A Fuzzy Approach For Feature-Based Product Style Recognition. In Proceedings 5th International Conference on E-engineering & Digital Enterprise Technology.

65.    Shen, Y., Wejinya, U. C., Xi, N., Pomeroy, C. A., Xue, Y., & Fan, Z. (2006, October). Characterization of living drosophila embryos using micro robotic manipulation system. In Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on (pp. 568-573). IEEE.

66.    Fan, Z., Andreasen, M. M., Wang, J., & Goodman, E. D. (2005). Towards an evolvable chromosome model for interactive computer design support. In DS 35: Proceedings ICED 05, the 15th International Conference on Engineering Design, Melbourne, Australia, 15.-18.08. 2005.

67.    Zhun Fan, Jiachuan Wang, Erik Goodman, “An Evolutionary Approach for Robust Layout Synthesis of MEMS”, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 24-28 July, 2005, Monterey, California, USA, 1186-1191

68.    Sørensen, T., Fan, Z., & Conrad, F. (2005). Two Mechatronic Projects-an Agricultural Robot and a Flight Simulator Platform. In 6th International Workshop on Research and Education in Mechatronics (rem). pp. 391-396

69.    Fan, Z., Sørensen, T., Conrad, F., Andreasen, M. M., Christensen, G. K., & Hein, L. (2005). Mechatronics education: Conceptual prototype vs. physical realization. In 6th International Workshop on Research and Education in Mechatronics (rem). pp 397 – 402

70.    Zhun Fan, Lars Hein, Mogens Myrup Andreasen, Benoit Eynard, et al. “Design Oriented Training of Mechatronic Engineers”, Chinese Mechanical Engineering Society Annual Conference, Nov 6-8, 2005, Chongqing, China

71.    Lars Hein, Zhun Fan, Mogens Myrup Andreasen, “Design & Innovation – a New Framework for Teaching Mechatronics”, Chinese Mechanical Engineering Society Annual Conference, Nov 6-8, 2005, Chongqing, China

72.    Wang, P., Fan, Z., Li, Y., & Feng, S. (2005). Sequential bayesian learning for modular neural networks. In Advances in Neural Networks–ISNN 2005 (pp. 652-659). Springer Berlin Heidelberg.

73.    Zhun Fan, Erik Goodman, Jiachuan Wang, Ronald Rosenberg, Kisung Seo and Jianjun Hu, “Hierarchical Evolutionary Synthesis of MEMS”, Proc. IEEE Congress on Evolutionary Computation, June, 2004, Portland, OR, pp. 2320-2327

74.    Wang Pan, Xu Chengzhi, Fan Zhun, “Evolutionary Linear Control Strategies of Triple Inverted Pendulums and Simulation Studies”, Proceedings of the 5th World Congress on Intelligent Control and Automation, June 15-19, vol. 3, pp. 2365-2368, 2004, Hangzhou, P.R.China

75.    Kisung Seo, Erik Goodman, Jianjun Hu, Zhun Fan, and Ronald Rosenberg, “Hierarchical Breeding Control for Efficient Topology/Parameter Evolution Using Modular Primitives in Bond Graph Model Design”, poster and 2-p. abstract in Proc. 2004 Genetic and Evolutionary Computation Conference, June, 2004, Seattle, WA, Part II, pp. 722-723.

76.    Z. Fan, K. Seo, R. Rosenberg, J. Hu, E. Goodman, Computational Synthesis of Multi-Domain Systems – Application in MEMS, Proceedings of the 2003 AAAI Spring Symposium - Computational Synthesis: From Basic Building Blocks to High Level Functionality, Stanford, California, March, 24-26, 2003, pp. 59-66.

77.    Z. Fan, K. Seo, R. Rosenberg, J. Hu, E. Goodman, System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs, Proc. 2003 Genetic and Evolutionary Computing Conference, Chicago, Springer, Lecture Notes in Computer Science, July, 2003, pp. 2058-2071, Best-Paper Award Finalist.

78.    K. Seo, Z. Fan, J. Hu, E. Goodman, and R. Rosenberg, Dense and Switched Modular Primitives for Bond Graph Model Design, Proc. 2003 Genetic and Evolutionary Computing Conference, Chicago, Springer, Lecture Notes in Computer Science, July, 2003, pp. 1764-1775.

79.    P. Wang, Z. Fan, C. Xu, Correlation Analysis and Evolutionary Control of Multi-Staged Inverted Pendulum, Proceedings of the 2003 IEEE International Symposium on Intelligent Control, Houston, Texas, October 5-8, 2003, pp. 920-923

80.    Erik D. Goodman, Kisung Seo, Zhun Fan, Jianjun Hu, Ronald C. Rosenberg, Automated Design of Mechatronic Systems:  Novel Search Methods and Modular Primitives to Enable Real-World Applications, Service and Manufacturing Grantees and Research Conference Proceedings, Edited by R.G. Reddy, The University of Alabama, Tuscaloosa, AL 35487, USA, 2003, pp 120-138.

81.    J. Hu, E. D. Goodman, K. Seo, Z. Fan, R. C. Rosenberg, HEMO: A Sustainable Multi-Objective Evolutionary Optimization Framework. Proc. 2003 Genetic and Evolutionary Computing Conference, Chicago, Springer, Lecture Notes in Computer Science, July, 2003, pp. 1029-1040.

82.    Z. Fan, K. Seo, R. Rosenberg, J. Hu, E. Goodman, Exploring Multiple Design Topologies using Genetic Programming and Bond Graphs, accepted for full presentation by 2002 Genetic and Evolutionary Computation Conference, ISGEC Press, New York, July, 2002, pp. 1073-1080

83.    J. Hu, K. Seo, S. Li, Z. Fan, R. C. Rosenberg, E. D. Goodman, Structure Fitness Sharing (SFS) for Evolutionary Design by Genetic Programming, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2002, New York, July, 2002, pp. 780-787.

84.     Z. Fan, J. Hu, K. Seo, E. Goodman, R. Rosenberg, and B. Zhang, Bond Graph Representation and GP for Automated Analog Filter Design, 2001 Genetic and Evolutionary Computation Conference Late-Breaking Papers, ISGEC Press, San Francisco, 2001, pp. 81-86.

 

专利

1.     姚利 范衠 朱贵杰. 一种物流产品自动计数及控制设备. 中国,实用新型. 专利申请号:201720027159.1

2.     范衠 谢红辉 朱贵杰. 一种基于航拍图像的烟草植株识别与计数方法. 中国,发明专利. 专利申请号:201611094366.5

3.     范衠, 游煜根, 陈文钊. 一种自主移动机器人平台用控制系统、方法及装置. 中国, 发明专利. 专利申请号: 201610865308.1

4.     范衠, 游煜根, 陈文钊. 一种自主移动机器人平台控制装置. 中国, 实用新型专利. 专利申请号: 201621094143.4

5.     范衠 余泽峰 黄书山 刘芷弘. 一种可扩充的模块化教育机器人控制系统. 中国, 实用新型专利. 专利申请号: 201621063785.8

6.     范衠, 李芳, 容毅标等. 一种基于大气压的多层建筑物的地图构建方法. 中国, 发明专利. 专利申请号: 201510757309.X

7.     范衠, 黄国杉, 余泽峰等. 一种多自由度机械臂的智能移动平台. 中国, 发明专利. 专利申请号: 201510734969.6

8.     范衠, 黄国杉, 余泽峰等. 一种多自由度机械臂的智能移动平台. 中国, 实用新型专利. 专利申请号: 201520866271.5

9.     范衠, 翁锡营, 王双喜. 一种食品包装袋折叠设备专用数字控制系统. 中国, 发明专利. 专利申请号: 201510115899.6

10.  范衠, 翁锡营, 王双喜. 一种快速自动上下料的数控分拣系统. 中国, 发明专利. 专利申请号:201510116130.6

 

机器人原型机系统开发

  1. 多用途四轮复合型机器人及其专用机械臂,可广泛应用于农业及工业生产中。
  2. 三代智能移动服务机器人平台,可应用于:服务/安防/个人及家庭老龄人护理/协助医疗工作等机器人。
  3. 六轴机械臂示教器,已经应用于某些企业的喷涂车间中。
  4. 六足仿生机器人,可以广泛应用于各种复杂的工作环境。
  5. 卡片式编程机器人系统,所开发的产品已经上市。
  6. 医院用智能交通机器人,可用于医院减轻医护人员工作负担。
  7. 基于视觉感知的焊接机器人,感知并判断焊接质量的好坏,并向机器手给出正确的控制指令以提高焊接质量。

 

毕业论文

1.        Zhun Fan, “Design Automation of Mechatronic Systems using Evolutionary Computation and Bond Graphs”, 2004, PhD Dissertation, Department of Electrical and Computer Engineering, Michigan State University, USA

2.        Zhun Fan, “Computational Intelligence and its Applications in Control Systems计算智能及其在控制系统中的应用”, 2000, Master Thesis, Department of Control Engineering and Science, Huazhong University of Science and Technology, China

 

学术活动

 

学术服务

1.        中国自动化学会大数据专委会委员 since 2016

2.        IEEE 高级会员Senior Member of the Institute of Electrical and Electronic Engineers (IEEE) since 2010

3.        IEEE 工业电子协会微机电系统技术委员会创始会员Foundation Member of the Technical Committee on MEMS of IES (Industrial Electronics Society) of IEEE since 2008

4.        IEEE 工业电子协会工业信息学技术委员会会员Member of the Technical Committee on Industrial Informatics of IES (Industrial Electronics Society) of IEEE since 2010

5.        IEEE 计算智能协会智能系统应用技术委员会会员Member of the Technical Committee on Intelligent Systems Applications of the CIS (Computational Intelligence Society) of IEEE since 2010

6.        IEEE 协会企业信息系统技术委员会会员Member of the Technical Committee on Enterprise Information Systems of the SMC (System, Man, and Cybernetics) of IEEE since 2010

7.        ASME会员Member of the American Society of Mechanical Engineers (ASME) since 2004

8.        ACM会员及ACM进化计算专业委员会成员Member of the Association of Computing Machinery (ACM) since 2008, member of the SIGEVO of ACM since 2007

9.        丹麦应用数学和机械学中心成员Member of the Danish Centre for Applied Mathematics and Mechanics (DCAMM) since 2006

10.    Design Automation of Mechatronic Systems using Evolutionary Computation and Bond Graphs

11.    ACM广州分会副主席Vice-Chairman of ACM Guangzhou Branch since 2014

12.    广东省图像图形学会理事Director of Guangdong Image and Graphics Society since 2013

13.    武汉理工大学系统科学和工程研究中心创始成员Foundation Member of the Research Center for Systems Science and Engineering at Wuhan University of Technology, China, since 2009

 

组织Workshop

连续四年在CEC2014-2017国际会议上主持了4次专题研讨会《When Evolutionary Computation Meets Data Mining》。

 

期刊评审

1.        Mechatronics, an International Journal

2.        Soft Computing

3.        Computational Intelligence

4.        Genetic Programming and Evolvable Machines

5.        Computers in Industry

6.        Computer Aided Design

7.        Computers & Operations Research

8.        Sensors and Actuators: A. Physical

9.        Enterprise Information Systems

10.    International Journal of System Science

11.    Transactions of the Institute of Measurement and Control

12.    IEEE Transactions on Evolutionary Computation

13.    IEEE Transactions on Neural Networks

14.    IEEE Transactions on Industrial Electronics

15.    IEEE Transactions on Automation Science and Engineering

16.    IEEE Transactions on Cybernetics

17.    IEEE Transactions on System, Man, Cybernetics-part B

18.    IEEE Transactions on Human-Machine Systems

19.    IEEE Transactions on System, Man, Cybernetics-part C

 

客座编辑

1.        Guest editorial for SI:Socially Interactive Robotics: From Theory to Applications in 2015

2.        Guest editorial for Robotics and Biomimetics thematic series on ‘Real-time Computing and Robotics in 2015

3.         Guest editorial for special section of Microelectromechanical Systems in Industrial Environments for IEEE Transactions on Industrial Electronics in 2011

 

程序委员会成员

1.        Program Chair, International Conference on Industrial Informatics --Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII 2017)

2.        Program Chair, International Conference on Industrial Informatics --Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII 2016)

3.        Program Chair, International Conference on Industrial Informatics --Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII 2015)

4.        Keynote Speaker, Title: Embedding Intelligence in Robotic Systems, 2015 International Conference on Robot and Intelligent Equipment (WRIE 2015)

5.        Keynote Speaker, Title: Embedding Intelligence in Mechatronic Systems, 2014 1st Chinese Workshop on Evolutionary Computation and Learning (Ecole 2014),

6.        Keynote Speaker, Title: Embedding Intelligence in Mechatronic Systems, 2012 World Conference on Software Engineering (WCSE 2012)

7.        Advisory Board of International Conference on Emerging Trends, Technology and Research, ICETTR-2013

8.        Program Chair, 2012 Second Global Congress on Intelligent Systems (GCIS 2012)

9.        Program Chair, 2015 Second Global Congress on Intelligent Systems (GCIS 2012)

10.    Special Session Organizer, Evolutionary Computation in Network Optimization, IEEE Congress on Evolutionary Computation (CEC 2011)

11.    Program Committee, 2011 International Conference on Data Engineering and Internet Technology (DEIT 2011)

12.    Program Co-Chair, Life Sciences and Health Care, IEEE 7th International Conference on Automation Science and Engineering (CASE 2011)

13.    Program Co-Chair for the 2011 7th International Conference on Natural Computation (ICNC 2011)

14.    Special Session Organizer, Intelligent Methods in Mechatronic & Robotic Systems for Performance Improvement, IEEE International Conference on Industrial Technology (ICIT’10)

15.    Program Chair, 2010 Second Global Congress on Intelligent Systems (GCIS’10)

16.    Global Congress on Intelligent Systems (GCIS’09)

17.    World Summit on Genetic and Evolutionary Computation (GEC’09)

18.    Session Chair, 35th Annual Conference of the IEEE Industrial Electronics Society (IECON’09)

19.    Session Chair, International Conference on Intelligent Robots and Systems (IROS’09)

20.    IEEE International Conference on Electronics, Circuits and Systems (ICECS’07’08)

21.    Genetic and Evolutionary Computation Conference (GECCO’06’07’08’09’10)

22.    ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE’06’07)

23.    Mediterranean Conference on Control and Automation (MED’08)

24.    International Conference on Intelligent Robots and Systems (IROS’08)

25.    IEEE International Symposium on Industrial Electronics (ISIE’07)

 

教学情况

 

教学培训

2005 年 4 月至 2006年8月间, 参加了学校的培训项目Education in University Teaching at DTU (UDtU*)并获得资格证书。该项目主要培训教师在教学实践中应用PBL (Problem Based Learning) 基于问题的学习方法和先进的CDIO (Conceive-Design-Implement-Operate)教学理念。在教学实践中,所有的教师都要求自觉使用培训中学到的方法和理念,而获得资格证书是晋升终身副教授的必要条件。

 

教授课程

1.        2004-2008秋季学期,41030 Design of Mechatronic Systems 机电系统设计,DTU (Technical University of Denmark)

2.        2004-2008秋季学期,41660 Applied Mechatronics 应用机电系统,DTU

3.        2005-2010春季学期,41670 Motion Control 运动控制,DTU

4.        2009-2010春季学期,42062 Design of Electronic Systems 电子系统设计,DTU

5.        2009-2010秋季学期,42625 Robotics 机器人,DTU

6.        2012-2013春季学期,自动控制原理,STU(Shantou University)

7.        2013-2016春季学期,数字图像处理,STU

8.        2014-2015秋季学期,自动控制原理,STU

9.        2015-2016春季学期,自动控制原理,STU

10.    2015-2016春季学期,人工智能与机器人,STU

11.    2016-2017春季学期,数字图像处理,STU

 

学术指导Research Supervision

博士后指导Postdoctoral advisees

1.      Sofiane Achiche, 2006-2007, postdoctoral researcher, supervisor

Title: Design Automation and Optimization for MEMS

2.      Yuan Li, 2010 - 2011, postdoctoral researcher, supervisor

Title: Decoupled visual control for robots based on structured light and weld seam tracking

3.      Tiejun Yang, 2015, postdoctoral researcher, supervisor

Title: Medical Image Processing Using Machine Learning Techniques

4.      Hongmin Wang, 2017, postdoctoral researcher, supervisor

Title: Design Optimization and Control of Mobile Manipulator

 

博士生指导PhD student advisees

1.      Jean-Francois Dupuis, 2007 – 2010, PhD student, supervisor

Title: Automated Design of Advanced Mechatronic Systems, 已经成功通过答辩授予学位

2.      Jinchao Liu, 2008 – 2011, PhD student, supervisor

Title: Direct Vision Based Molten Pool Feature Extraction in Automated Arc Welding, 已经成功通过答辩授予学位

3.      Ali Ozkil, 2008 – 2011, PhD student, supervisor

Title: New AI and its Application in Hospital Service Robotics, 已经通过答辩授予学位

4.      Huibiao Lin, 2013, PhD student, supervisor

5.      Wenji Li, 2014, PhD student, supervisor

6.      Guijie Zhu, 2016, PhD student, supervisor

 

硕士生指导Master student advisees

  1. Mattia Perissinotto, 2005 – 2006, master thesis student, advisor

Title: Design and Verification of a Motor Controller using FPGA Techniques

  1. Diego González, 2005 – 2006, master thesis student, advisor

Title: Embedded System for Face Recognition Using FPGA Techniques

3.      Ines Fernández, 2005 – 2006, master thesis student, co-advisor

Title: Optimization of a Fuzzy Logic Controller Using Genetic Algorithms

4.      Jeremy Chapute, 2005 – 2006, master thesis student, co-advisor

Title: Case study of a MEMS switch supported by a FBS and DFM framework

5.      Ali Ozkil, 2006 – 2007, research Assistant, advisor

Title: SLAM of indoor mobile robots

6.      Kristoffer Raun, 2007, master thesis student, advisor

Title: Application of Artificial Muscles as Actuators, June 2007

7.      Michael Lisowski, 2009, Master student, advisor

Title: Differential Evolution Approach to the Localization Problem for Mobile Robots, September 2009

8.      Morten Lindahl, 2009 - 2010, Master student, co-advisor (with Sofiane Achiche)

Title: Dynamic Gait Balancing of Walking Biped Robots, Sept 2010

9.      Haoshen Zhu, 2009, Research Assistant, co-advisor (with Pan Wang)

Title: Evolutionary Synthesis of MEMS Devices

10.  Shen Zhao, 2009 - 2010, Master student, co-advisor (with Ben Mathews)

Title: Design Requirements for Hospital Logistic Robot, June 2010

11.  朱贵杰,2011-2014,题目:基于键合图方法的风力发电系统建模研究,2014.5答辩

12.  谢淑香,2012-2015,题目:约束多目标进化算法研究及其应用,2015.5答辩

13.  王晟,2012-2015,题目:基于多目标进化算法的工业机器人减速器设计,2015.5答辩

14.  容毅标,题目:眼底图像中的视盘检测与血管分割,2013-2016,2016.5 答辩

15.  左右祥,题目:基于基因表达式编程的随机森林及其在急性低血压预测中的应用,2013-2016,2016.5 答辩

16.  李芳,题目:机器学习算法研究及应用,2013-2016,2016.5 答辩

17.  肖杨,题目:基于约束多目标进化算法研究及其在机械臂设计优化中的应用,2014-2017,2017.5 答辩

18.  赵雷,题目:基于二维地图蒙特卡罗定位的三维室内地图构建,2014-2017,2017.5 答辩

19.  谢红辉,题目:基于无人机航拍图像的烟草植株识别与计数,2014-2017,2017.5 答辩 

 

交换博士生指导Exchange student advisees

1.      Bo Li, 2007 – 2008, exchange PhD student, co- supervisor (with Saeema Ahmed)

Title: Design process reuse for Mechatronic System Design

2.      Wang Wei, 2005 – 2006, exchange PhD student, co-supervisor (with Xiansheng Qin)

Title: Genetically generated double-level fuzzy controller with a fuzzy adjustment strategy

 

指导研究生获奖情况

  1. 李中兴,方毅,2017年全国研究生电子设计竞赛全国二等奖,华南赛区一等奖
  2. 谢红辉,赵雷,肖扬,2016年全国研究生电子设计竞赛华南赛区二等奖
  3. 李冲,王宇鹏,姚利,2016年全国研究生电子设计竞赛华南赛区二等奖

 

指导本科生获奖情况

  1.  胡凯文,广东省2015年挑战杯特等奖,全国三等奖。
  2. 游煜根,获得2016年汕大奖章。
  3. 段一鸣,潘蓝根,陈梓希,黄宇荣,2017年丝绸之路机器人创意大赛一等奖
  4. 芦毅衡,黄国明,朱俊安,汤煦安,谭晓锋,王朋,2017中国服务机器人大赛Follow项目亚军(一等奖),WhoIsWho项目季军(一等奖)
  1.  周汉翀,冯靖安,郑重鹏,邱本章,方朝晖,李宗杰,2015年中日韩CEDC暨国际工程设计竞赛金奖

 

教育背景

工作背景

科研项目

广东省数字信号与图像处理技术重点实验室建设
广东省数字信号与图像处理技术重点实验室运行经费
高强度铝合金关键数控成型装备及自动产线的研发
可编程教育机器人硬件系统关键技术研发
面向触摸屏行业的机器视觉技术服务平台建设
高速机械手运动控制系统开发
无线传感信息的传输研究及其应用
粤东数控一代创新应用综合服务平台
数控一代创新应用综合服务平台建设
进化智能与机器人联合研究中心
复杂机电系统的集成智能研究
面向多样化需求的开放式结构产品可适应设计
急性低血压大规模时序数据的敏捷分类方法研究
面向复杂机电系统的设计自动化研究
机电一体化系统的智能设计框架及其应用研究
汕头轻工装备研究院科技特派员工作站
汕头轻工装备研究院科技特派员工作站
分类算法可适应自动设计及其在急性低血压预测中的应用
机电一体化系统的智能设计框架及其应用研究
混合机电系统的控制器和被控对象并行进化设计研究
第十批青年千人计划
2013扬帆计划引进紧缺拔尖人才项目

科研论文

Optimization of the modified T vacation policy for a discrete-time[X]/G/1 queueing system with startup
An M/G/1 Queue with Second Optional Service and General Randomized Vacation Policy
3D mapping of Multi-Floor Buildings based on sensor fusion
A Combined Texture-Shape Global 3D Feature Descriptor for Object Recognition and Grasping
A time-efficient video stabilization algorithm based on Block Matching in a restricted search space
Optic Disk Detection in Fundus Image Based on Structured Learning
An adaptive memetic framework for multi-objective combinatorial optimization problems: studies on software next release and travelling salesman problems
Swarm bots: System design for ECHOLOCATION
Boosting active contours for weld pool visual tracking in automatic arc welding
Probability distribution pattern analysis and its application in the Acute Hypotensive Episodes prediction
Invariant moments based convolutional neural networks for image analysis
Modeling the Tracking Area Planning Problem Using an Evolutionary Multi-objective Algorithm
Automated Blood Vessel Segmentation of Fundus Images Using Region Features of Vessels
A Manipulator Design Optimization Based on Constrained Multi-objective Evolutionary Algorithms
3D Indoor Map Building with Monte Carlo Localization in 2D Map
Tobacco Plant Recognizing and Counting Based on SVM
Angle-based Constrained Dominance Principle in MOEA/D for Constrained Multi-objective Optimization Problems
Automated Blood Vessel Segmentation in Fundus Image Based on Integral Channel Features and Random Forests
Design of A Diamond Adsorption Detection System Based on Machine Learning Techniques
Online Personalized QoS Prediction Approach for Cloud Services
A Two phase Many Objective Evolutionary Algorithm with Penalty Based Adjustment for Reference Lines
Decomposition-based-sorting and angle-based-selection for evolutionary multiobjective optimization
Automated Blood Vessel Segmentation Based on De-noising Auto-encoder and Neural Network
基于广告、技术、奖励的二级供应链效益最大化研究
Decomposing a Mutiobjective Optimization Problem into a Number of Reduced-Dimension Multiobjective Subproblems Using Tomographic Scanning
An Improved Ideal Point Setting in Multiobjective Evolutionary Algorithm Based on Decomposition
Difficulty Controllable and Scalable Constrained Multi-Objective Test Problems
Detection of Optic Disk based on Saliency Map
A Real-time Passive Vision System for Robotic Arc Welding
The Algorithm for Algorithms: An Evolutionary Algorithm Based on Automatic Designing of Genetic Operators
The Algorithm for Algorithms: An Evolutionary Algorithm Based on Automatic Designing of Genetic Operators
Detecting Optic Disk Based on Structured Learning
Detecting Optic Disk Based on AdaBoost and Active Geometric Shape Model
Design of a Multichannel Biomedical Signal Acquisition System Based on Cortex-M4 Processor
An Opposition-based Repair Operator for Multi-objective Evolutionary Algorithm in Constrained Optimization Problems
Prediction of Acute Hypotensive Episodes Using Random Forest Based on Genetic Programming
Optimal Trajectory Searching Based Differential Evolution
An Approach for Prediction of Acute Hypotensive Episodes via the Hilbert-Huang Transform and Multiple Genetic Programming Classifier
An External Archive Guided Multiobjective Evolutionary Algorithm Based on Decomposition for Combinatorial Optimization
Evolutionary design of discrete controllers for hybrid mechatronic systems
Evolutionary Design of Discrete Controllers for Hybrid mechatronic Systems
Epidemics on small worlds of tree-based wireless sensor networks
Epidemics on small worlds of tree-based wireless sensor networks
Hybridizing Infeasibility Driven and Constrained-Domination Principle with MOEA/D for Constrained Multiobjective Evolutionary Optimization
Detection of Acute Hypotensive Episodes via Empirical Mode Decomposition and Genetic Programming
An improved memetic algorithm using ring neighborhood topology for constrained optimization
A probabilistic pareto local search based on historical success counting for multiobjective optimization
Design optimization of MEMS using constrained multi-objective evolutionary algorithm
Design optimization of MEMS using constrained multi-objective evolutionary algorithm
Epsilon constrained method for constrained multiobjective optimization problems: some preliminary results
Evolutionary synthesis of dynamical systems: the past, current, and future
An external archive guided multiobjective evolutionary approach based on decomposition for continuous optimization
Evolutionary Algorithm Based on Automatically Designing of Genetic Operators
A novel memetic algorithm based on invasive weed optimization and differential evolution for constrained optimization
Output properties of cellular artificial actuator
Modified Binary Differential Evolution for Solving Wind Farm Layout Optimization Problems
Immunizations on small worlds of tree-based wireless sensor networks
Synthesis of Matsuoka-Based Neuron Oscillator Models in Locomotion Control of Robots
Evolutionary Design of Both Topologies and Parameters of a Hybrid Dynamical System
Evolutionary Design of Both Topologies and Parameters of a Hybrid Dynamical System
Mapping of Multi-Floor Buildings: A Barometric Approach
Weld Pool Visual Sensing without External Illumination

科研成果