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                                                    汪俊亮

                                                    来源:孙博发稿时间:2020-02-28浏览次数:656

                                                    姓名:汪俊亮

                                                    性别:男

                                                    职称:副研究员

                                                    最高学位:博士

                                                    个人简介:汪俊亮 2013年于武汉理工大学获得学士学位,2018年于上海交通大学获得博士学位,博士毕业后来到东华大学工作。



                                                    研究方向:

                                                    1.  智能制造系统建模、运行分析与优化理论

                                                    2.  工业大数据分析方法

                                                    3.  工业智能系统技术



                                                    科研项目 :

                                                    1.  国家自然科学基金青年项目,数据智能驱动的晶圆制造工期自适应预测方法研究,24万元,2020.1-2022.12 ,ZX201909000073;主持

                                                    2.  上海市科委扬帆计划项目,大数据驱动的晶圆层工期预测方法,20万元,2019.4-2022.4,ZX201904000022;主持

                                                    3.  上海航天精密机械研究所委托,参数智能分析优化系统集成,25万元,2019.5-2019.12,HX103190208;主持



                                                    发表论文 :

                                                    1. Wang J., C.Xu, J. Zhang, et al., A collaborative architecture of the industrial internet platform for manufacturing systems. Robotics and Computer-Integrated Manufacturing,DOI: 10.1016/j.rcim.2019.101854

                                                    2. Wang J., P. Zheng, W. Qin, et al. A novel resilient scheduling paradigm integrating operation and design for manufacturing systems with uncertainties. Enterprise Information Systems. 2019, (13)4: 430-447.

                                                    3. Wang J., P. Zheng, Zhang, et al., Fog-IBDIS: industrial big data integration and sharing with fog computing for manufacturing systems. Engineering. 2019. (5)4: 662-670

                                                    4. Wang J., J. Yang, J. Zhang, et al., AdaBalGAN: An Improved Generative Adversarial Network With Imbalanced Learning for Wafer Defective Pattern Recognition. IEEE Transactions on Semiconductor Manufacturing, 2019. 32(3): 310-319.

                                                    5. Zheng P., J. Wang, J. Zhang, et al. An adaptive CGAN/IRF-based rescheduling strategy for aircraft parts remanufacturing system under dynamic environment. Robotics and Computer-Integrated Manufacturing, DOI: 10.1016/j.rcim.2019.02.008

                                                    6. Wang J., J. Zhang and X. Wang, A data driven cycle time prediction with feature selection in a semiconductor wafer fabrication system. IEEE Transactions on Semiconductor Manufacturing, 2018. 31(1): 173-182.

                                                    7. Wang J., J. Zhang and X. Wang, Bilateral LSTM: a two-dimensional long short-term memory model with multiply memory units for short-term cycle time forecasting in re-entrant manufacturing systems. IEEE Transactions on Industrial Informatics, 2018. 14(2): 748-758.

                                                    8. Wang J., J. Yang, J. Zhang, et al., Big data driven cycle time parallel prediction for production planning in wafer manufacturing. Enterprise Information Systems, 2018. 12(6): 714-732.

                                                    9. Wang J., J. He and J. Zhang, A reinforcement learning method to optimize the priority of product for scheduling the large-scale complex manufacturing systems. Proceedings of the International Conference on Computers & Industrial Engineering, 227, 2018.

                                                    10. Wang J. and J. Zhang, Big data analytics for forecasting cycle time in semiconductor wafer fabrication system. International Journal of Production Research, 2016. 54(23): 7231-7244.



                                                    出版著作:

                                                    1. J. Zhang, J. Wang, and W. Qin. Chapter 14: artificial neural networks in production scheduling and yield prediction of semiconductor wafer fabrication system. Artificial neural networks: models and applications. InTech, 2016.

                                                    2. J. Zhang, Wei Qin, L. Wu, J. Wang, Y. Lv. Wafer fabrication -- automatic material handling system. DE GRUYTER. 2018



                                                    申请专利 :

                                                    1. 汪俊亮,王虎勇,唐云卿,赵树煊,张洁.一种基于树莓派的图像采集装置:中国, 201910322834.7 [P].2019-04-22

                                                    2. 汪俊亮,李天烁,武傲,赵树煊,张洁.一种运用于验布机的图像采集系统:中国, 201910322831.3 [P].2019-04-22

                                                    3.  张洁,李天烁,赵树煊,王虎勇,汪俊亮.一种运用于验布机的PLC控制方法:中国, 201910232358.X [P].2019-03-26

                                                    4.  张洁,李天烁,赵树煊,王虎勇,汪俊亮.一种布料疵点检测装置:中国, 201910207047.8 [P].2019-03-19

                                                    5.  张洁,代璐,汪俊亮,陈治宇,鲍劲松,一种非等效三维点云分割方法,受理时间:2018.08.01,专利号:201810859511.7

                                                    6.  周亚琴,卢颖涛,汪俊亮,鲍劲松,张洁,王俊丽,杨启东.一种面向纬编面料生产的智能管控系统:中国, 2018113805219 [P].2018-11-20

                                                    7.  张洁,杨振良,汪俊亮,蒋小康,张启华.一种基于对抗生成网络的晶圆图缺陷模式识别方法:中国, 2018112763384 [P].2018-10-30



                                                    获奖情况:

                                                    1. An adaptive DNN-Based Rescheduling Policy for Aircraft Parts Remanufacturing System under Dynamic Environment, 中国仿真学会智能仿真优化与调度专委会优秀论文,2018

                                                    2. 指导学生参加中国大学生机械工程创新创意大赛2018年智能制造邀请赛,获二等奖

                                                    3. 指导学生参加第十六届“挑战杯”大学生课外学术科技作品竞赛获上海市特等奖,国家二等奖



                                                    主讲课程:

                                                    1. 工程管理

                                                    2. 智能制造系统



                                                    学术兼职:

                                                    1. 中国机械工程学会工业大数据与智能系统分会筹备工作组成员

                                                    2. 中国机械工程学会高级会员

                                                    3. 中国仿真学会智能仿真优化调度专委会委员

                                                    4. EI期刊《中国机械工程》客座编委

                                                    5. SCI期刊《Journal of Manufacturing Systems》客座编委

                                                    6. SCI期刊《Mathematical Biosciences and Engineering》客座编委

                                                    7. IEEE CASE 2019等多个国际学术会议分会主席



                                                    联系方式:

                                                    地址:上海市松江区人民北路29994号学院楼3024室  201620

                                                    邮箱:junliangwang@dhu.edu.cn

                                                    AddRoom 3024 No.4 College Building, 2999 North Renmin Rd, Songjiang, Shanghai, P.R.C, 201620

                                                    E-mailjunliangwang@dhu.edu.cn


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