研究生培养
您当前位置:首页 > 研究生培养 > 导师介绍

刘佳宜

发布时间:2023-01-14
 

kaiyun·体育全站APP下载博∕硕士导师信息表 

  姓  名: 

  刘佳宜 

  性  别: 

   

  出生年月: 

  1991年7月 

  职  称: 

  副教授

  学历学位: 

  研究生/博士 

  联系方式: 

  jyliu@whut.edu.cn 

  研究方向: 

工业机器人制造、数字孪生、人工智能与嵌入式系统

  主要学术经历: 

2022.09至今,武汉理工大学,kaiyun·体育全站APP下载,副教授

2019.01-2022.09,武汉理工大学,kaiyun·体育全站APP下载,讲师

2016.10-2018.10,英国伯明翰大学,机械工程系,国家公派联合培养博士

2012.09-2019.01,武汉理工大学,信息与通信工程,博士

2008.09-2012.06,武汉理工大学,通信工程,学士

  主要学术成果: 

长期从事于数字孪生与工业机器人制造等研究领域,主持国家自然科学基金、湖北省自然科学基金和湖北省重点研发计划子课题各1项,作为骨干成员参与国防基础科研计划(重点与一般项目)、国家自然科学基金面上项目和装备预研等国家级项目4项。已发表SCI/EI论文20余篇,Google学术引用数621h指数11;授权/申请国家发明专利9项;参与编写英文学术专著3部。受邀在国际、国内学术会议上作受邀报告2次;荣获国际知名学术期刊“Top Reviewer”奖、IEEE CASE国际会议“Best Conference and Application Paper Award Finalist”(2022年中国唯一入选论文)、CIE国际会议“Best Paper”和CIRP国际会议“Best Application Paper”等论文奖励3次。担任湖北省科技厅入库专家、国际期刊International Journal of Manufacturing Research客座编辑、国际研讨会的共同主席/委员会成员5届次,IEEE Transactions on Automation Science and Engineering等国际知名期刊审稿人。

[1] Liu J Y, Zhou Z D, Pham D T, et al. Collaborative optimization of robotic disassembly sequence planning and robotic disassembly line balancing problem using improved discrete bees algorithm in remanufacturing. Robotics and Computer-Integrated Manufacturing, 2019. (中科院1TOP, JCR Q1, IF 5.66)

[2]  Xu W J, Tang Q, Liu J Y*, et al. Disassembly sequence planning using discrete Bees algorithm for human-robot collaboration in remanufacturing. Robotics and Computer-Integrated Manufacturing, 2021. (中科院1TOP, JCR Q1, IF: 5.66)

[3] Liu J Y, Zhou Z D, Pham D T, et al. Service platform for robotic disassembly planning in remanufacturing. Journal of Manufacturing Systems, 57, 338-356. (中科院1TOP JCR Q1, IF: 8.63)

[4] Liu J Y, Zhou Z D, Pham D T, et al. Robotic disassembly sequence planning using enhanced discrete Bees algorithm in remanufacturing. International Journal of Production Research, 2018, 56(9): 3134-3151. (中科院2TOP, JCR Q1, IF: 8.568)

[5] Liu J Y, Zhou Z D, Pham D T, et al. An improved multi-objective discrete bees algorithm for robotic disassembly line balancing problem in remanufacturing. The International Journal of Advanced Manufacturing Technology, 2018, 1-26. (JCR Q2, IF: 3.226)

[6] Xu W J, Cui J, Liu B, Liu J Y*, et al. Human-robot collaborative disassembly line balancing considering the safe strategy in remanufacturing. Journal of Cleaner Production, 2021, 25,129158. (中科院1TOP, JCR Q1, IF: 9.297)

[7] Zhou Z D, Liu J Y, Pham D T, et al. Disassembly sequence planning: Recent developments and future trends. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2018, 1-22. (JCR Q2, IF: 2.61)

[8] Liu J Y, Zhou Z D, Ding G P, et al. Dynamic Magnetic Field Measurement in the Air Gap of Magnetic Bearings Based on FBG-GMM Sensor. Journal of the Optical Society of Korea, 2015, 19(6): 575-585. (JCR Q3)

[9] Li Z H, Xu W J, Liu J Y*, et al. Digital Twin-based Virtual Reconfiguration Method for Mixed-model Robotic Assembly Line. 2022 IEEE international conference on automation science and engineering. Mexico City, Mexico, August, 20-24, 2022. (Best Conference and Application Paper Award FinalistIEEE Robotics and Automation Society自动化领域旗舰会议, 2022年中国唯一入选论文)

[10]Xie X T, Zhang X M, Xu W J, Liu J Y*, et al. Dynamic assessment of sustainable manufacturing capability for industrial cloud robotics based on correlation model. The 49th International Conference on Computers & Industrial Engineering (CIE 49), Beijing, China, October 18-21, 2019. (Best Paper Award)

[11]Zhang C Y, Xu W J, Liu J Y, et al. A reconfigurable modeling approach for digital twin-based manufacturing system. The 11th CIRP Conference on Industrial Product-Service Systems (CIRP IPS2 2019), Zhuhai and Hong Kong, China, May 29-31, 2019. (Best Application Paper)

[12]Liu J Y, Xu W J, Zhou Z D, Pham D T. Scheduling of robotic disassembly in remanufacturing. Chapter 9, Evolutionary Computation in Scheduling. Wiley. (Chapter)

[13]刘佳宜,刘斌,徐文君 等。一种基于安全保障策略的人机协作拆卸线平衡优化方法,发明专利,授权,CN 110900138B

[14]徐文君,张辰源,刘志浩,刘佳宜 等。基于数字孪生的工业机器人制造系统可重构系统与方法,发明专利,授权,CN 111538294 B

  主要在研项目: 

[1]    国家自然科学基金青年基金52205538,主持;

[2]    湖北省自然科学基金青年基金,2021CFB044主持;

[3]    国家自然科学基金面上项目,51775399物理模型驱动的工业机器人装备运行能量有效多级协同优化,参与;

[4]    装备预研领域基金项目,61400010107信息物理系统融合建模仿真方法,参与。

   

附件:

  
Baidu
sogou