汪俊亮 - 东华大学 - 机械工程学院

个人简介

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。科研项目：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；主持出版著作： 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. J. Zhang, Wei Qin, L. Wu, J. Wang, Y. Lv. Wafer fabrication -- automatic material handling system. DE GRUYTER. 2018 申请专利：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 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 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 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 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 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 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： 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 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：工程管理智能制造系统

研究领域

研究方向：智能制造系统建模、运行分析与优化理论工业大数据分析方法工业智能系统技术

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

发表论文： 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 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.

学术兼职

学术兼职：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中国机械工程学会高级会员中国仿真学会智能仿真优化调度专委会委员 EI期刊《中国机械工程》客座编委 SCI期刊《Journal of Manufacturing Systems》客座编委 SCI期刊《Mathematical Biosciences and Engineering》客座编委 IEEE CASE 2019等多个国际学术会议分会主席