姓名：王琨
职称/职务：讲师
专业：自动化
所在单位：工程学院自动化及测控系
通讯地址：青岛松岭路238号，中国海洋大学工程学院
电子信箱：kunwang@ouc.edu.cn, wangkunouc@163.com
办公室电话：0532-66781109
学习经历：
2009.09-2013.09澳大利亚新南威尔士大学计算机科学专业哲学博士
2006.09-2009-07中国海洋大学控制理论与控制工程专业工学硕士
2002.09-2006.07中国海洋大学自动化专业工学学士
工作经历：
2014/04-至今，中国海洋大学，工程学院自动化及测控系，讲师
研究方向/岗位职责：
1. 复杂系统仿真优化计算，
2. 情节产生、情景推演，
3. 进化计算、遗传规划、交互式进化，
4. 人工智能、计算智能
讲授课程：
1. 本科生课程：电路原理
2. 研究生课程：最优化理论与方法
科研项目：
1. 国家自然科学基金青年基金，61601428，基于协同式情景进化的高频地波雷达目标跟踪算法高效测评方法研究，2017/01-2019/12，19万元，在研，主持
2. 国家自然科学基金青年基金，41506114，基于弧段检测的高频地波雷达特定目标航迹跟踪方法研究，2016/01-2018/12，22万元，在研，参与
3. 留学回国人员科研启动基金，20151098，基于情景进化的算法测试技术及其在舰船监视中的应用，2015/06-2016/12，3万元，已结题，主持
4. 山东省博士后创新项目专项资金，140880，一种针对复杂算法的风险评估法及其在海上监视中的应用，2014/09-2016/09，10万元，已结题，主持
5. 基本科研业务费青年教师基金，201513001，基于交互式进化计算的自动风险评估法及其在海上集成监视系统中的应用， 2015.01 2016.12，10万元，已结题，主持
代表性论著：
1. Nan Mu, Kun Wang#, Zexiao Xie, Ping Ren, Calibration of a Flexible Measurement System Based on Industrial Articulated Robot and Structured Light Sensor, Optical Engineering, 2017, 56(5), 054103(SCI)
2. Kun Wang#, Vinh Bui, Eleni Petraki and Hussein A. Abbass, Human-Guided Evolutionary Story Narration, IEEE Access, 2018, 1-20（SCI）
3. Pengju Zhang, Kun Wang#, Ling Zhang, Zexiao Xie, Liqin Zhou, An Evolutionary Vulnerability Detection Method for HFSWR Ship Tracking Algorithm, Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL 2017), Shenzhen, P.R. China, 2017.11.10-11.13（EI）
4. Wang Kun, Petraki Eleni, Abbass Hussein, Recent Advances in Computational Intelligence in Defense and Security (Evolving Narrations of Strategic Defence and Security Scenarios for Computational Scenario Planning), Springer International Publishing, 10千字, 2016（Book Chapter）
5. Wang Kun#, Bui Vinh, Petraki Eleni, Abbass Hussein A., From subjective to objective metrics for evolutionary story narration using event permutations, Simulated Evolution and Learning, volume 7673 of Lecture Notes in Computer Science, 400 - 409, Hanoi, Vietnam, 2012.12.16-12.19（EI）
6. Wang Kun#, Bui Vinh, Petraki Eleni, Abbass Hussein A., Evolving story narrative using surrogate models of human judgment, 1st International Conference on Robot Intelligence Technology and Applications, RITA 2012, Gwangju, South Korea, 2012.12.16-12.18（EI）
7. Wang Kun#, Bui Vinh Q., Abbass Hussein A., Evolving stories: Tree adjoining grammar guided genetic programming for complex plot generation, Simulated Evolution and Learning, volume 6457 of Lecture Notes in Computer Science, 135 - 145，Kanpur, India, 2010.12.1-2010.12.4（EI）
会议特邀学术报告
1. Wang Kun, A Hierarchical Formal grammar for Automatic Storytelling, Defence Operations Research Symposium 2011, Canberra, Australia, 22 - 24 October 2011
Kun Wang
Title:Lecturer
Department: Control and measurement, College of Engineering
Address: Engineering College, Ocean University of China,
238 Songling Road, Qingdao, P. R. China, 266100
Office Phone: 86-532-66781109
E-mail kunwang@ouc.edu.cn , wangkunouc@163.com
Education
2009.09-2013.09, University of New South Wales, Computer science, Ph.D
2006.09-2009-07, Ocean University of China, Control theory and control engineering, M.Phil
2002.09-2006.07, Ocean University of China, Automation, B.Eng
Work Experience
2014/04-Now Control and measurement Department, College of Engineering, Ocean University of China
Research Interests / responsibilities
Complex system simulation and optimization,
Plot generation, Scenario generation,
Evolutionary computation (EC), Genetic Programming (GP), Interactive EC，
Artificial intelligence, Computational intelligence
Research Projects
1. National Natural Science Foundation of China，61601428，Research on an effective testing and assessment approach for HFSWR target tracking algorithm based on scenario and parameters coevolution，2017/01-2019/12，190 000，Undergoing，In Charge
2. National Natural Science Foundation of China，41506114，Research on specific target tracking method based on arc detection with HF found wave radar，2016/01-2018/12，220 000，Undergoing，In Participation
3. Scientific Research Starting Foundation for Returned Overseas Chinese Scholars，20151098，An algorithm testing technique based on scenario evolution and its application in ship surveillance，2015/06-2016/12，30 000，Completed，In Charge
4. Shandong Postdoctoral Innovation Foundation，140880，A risk assessment method for complex algorithm and its application in maritime surveillance system，2014/09-2016/09，100 000，Undergoing，In Charge
5. Chinese Fundamental Research Funds for the Central Universities，201513001，An interactive evolutionary automatic risk assessment approach and its application in maritime surveillance system， 2015.01 2016.12，100 000, Completed，In Charge
Major Publication:
1. Nan Mu, Kun Wang#, Zexiao Xie, Ping Ren, Calibration of a Flexible Measurement System Based on Industrial Articulated Robot and Structured Light Sensor, Optical Engineering, 2017, 56(5), 054103(SCI)
2. Kun Wang#, Vinh Bui, Eleni Petraki and Hussein A. Abbass, Human-Guided Evolutionary Story Narration, IEEE Access, 2018, 1-20（SCI）
3. Pengju Zhang, Kun Wang#, Ling Zhang, Zexiao Xie, Liqin Zhou, An Evolutionary Vulnerability Detection Method for HFSWR Ship Tracking Algorithm, Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL 2017), Shenzhen, P.R. China, 2017.11.10-11.13（EI）
4. Wang Kun, Petraki Eleni, Abbass Hussein, Recent Advances in Computational Intelligence in Defense and Security (Evolving Narrations of Strategic Defence and Security Scenarios for Computational Scenario Planning), Springer International Publishing, 10千字, 2016（Book Chapter）
5. Wang Kun#, Bui Vinh, Petraki Eleni, Abbass Hussein A., From subjective to objective metrics for evolutionary story narration using event permutations, Simulated Evolution and Learning, volume 7673 of Lecture Notes in Computer Science, 400 - 409, Hanoi, Vietnam, 2012.12.16-12.19（EI）
6. Wang Kun#, Bui Vinh, Petraki Eleni, Abbass Hussein A., Evolving story narrative using surrogate models of human judgment, 1st International Conference on Robot Intelligence Technology and Applications, RITA 2012, Gwangju, South Korea, 2012.12.16-12.18（EI）
Wang Kun#, Bui Vinh Q., Abbass Hussein A., Evolving stories: Tree adjoining grammar guided genetic programming for complex plot generation, Simulated Evolution and Learning, volume 6457 of Lecture Notes in Computer Science, 135 - 145，Kanpur, India, 2010.12.1-2010.12.4（EI）
