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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。

  • 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.

  • 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

  • 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.

  • 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

  • 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.

  • 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.

  • 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.

  • 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.

  • 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@saudidefence.com

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

    E-mailjunliangwang@saudidefence.com