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复旦大学工程与应用技术研究院导师教师师资介绍简介-朱云龙

本站小编 Free考研考试/2021-01-10



朱云龙

职称:教授,博士生导师
邮箱:zyl@fudan.edu.cn




个人简介
教授、博士生导师,中科院首批特聘研究员,国务院政府特殊津贴专家,曾任中科院沈阳自动化所工业信息学研究室主任,中科院网络化控制系统重点实验室主任、国家科技部制造业信息化科技工程总体专家组成员、新一代人工智能产业技术创新战略联盟专家委员会委员、国家科技奖励评审专家,《信息与控制》杂志编委等。2013年被中国科学院评定为二级研究员,2015年被聘为中科院首批特聘研究员。
作为项目负责人先后承担国家自然科学面上基金、国家自然科学重点基金5项,国家863/CIMS应用基础研究和重点项目6项,国家科技支撑计划1项,工信部智能制造专项近10项,承担的企业合作项目10余项。发表SCI国际英文期刊50余篇,出版学术专著3本。获辽宁省科技进步二等奖1项,辽宁省自然科学二等奖1项,中科院院地合作先进个人二等奖1项。
先后参与国家科技部云制造重点专项,中国科学院:2030年中国先进制造技术发展战略规划路线图、中国工程院:中国人工智能2.0战略规划等国家级的战略规划工作。
培养的博士生有3人获中国科学院优秀博士生院长奖学金,1位获朱李月华奖学金。培养的博士后有3位获中国博士后基金,2位获中国科学院王宽诚博士后基金的资助,1位获中国科学院优秀博士后。


研究方向
①数据/知识驱动的群智计算模型理论与方法
②工业感应网络与边缘计算技术
④工业物联网/互联智能工厂/智能信息物理融合系统
⑤超精密柔性OLED电子打印技术与装备


代表性成果
1)朱云龙、陈瀚宁、申海 张浩 著,生物群智计算与机器学习,清华大学出版社,2020年2月
2)Zhang Lei, Cheng Xiaoding ,Ku Tao,Zhu Yunlong, Geometrical Morphology of Inkjet-Printed Finger Electrodes on Untreated Multi-Crystalline Silicon Solar Cells, IEEE JOURNAL OF PHOTOVOLTAICS, VOL. 9, NO. 2, MARCH 2019
3) Xiaoding Cheng, Yunlong Zhu, Lei Zhang,Dingyi Zhang, Lattice Boltzmann simulation of droplets coalescence in a film patterning process on nonideal surfaces, Computers and Fluids 176 (2018) 68–78
4)Xiaoding Cheng, Yunlong Zhu, Lei Zhang, Chiyuan Wang & Shuailong Li, Lattice Boltzmann simulation of multiple droplets impingement and coalescence in an inkjet-printed line patterning process, International Journal of Computational Fluid Dynamics,2017
5)Xiaoding Cheng, Yunlong Zhu, Lei Zhang, Numerical analysis of deposition frequency for successive droplets coalescence dynamics, PHYSICS OF FLUIDS 30, 042102 (2018)
6)Jintian Yun, Maowei He, Yunlong Zhu etc., Droplet property optimization in printable electronics fabrication using root system growth algorithm, Computers & Industrial Engineering,2017,
7)Lei Zhang, Yunlong Zhu, Xiaoding Cheng, Numerical investigation of multi-droplets deposited lines morphology with a multiple-relaxation-time lattice Boltzmann model, Chemical Engineering Science 171 (2017) 534–544
8)Chen Hanning,Zhu yunlong, HuKunyuan, Ma Lianbo. Bacterial colony foraging algorithm: Combining chemotaxis, cell-to-cell communication, and self-adaptive strategy, Applied Information Sciences,2014,273(3):73-100
9)Chen Hanning, Zhuyunlong, Ma Lianbo. Multi-hive bee foraging algorithm for multi-objective optimal power flow considering the cost, loss, and emission, Applied《International Journal of Electrical Power & Energy Systems》, 2014, 60(60):203-220
10)Chen Hanning,Niu Ben, Ma Lianbo, SuWeixin, Zhu yunlong Bacterial colony foraging optimization, Discrete Dynamics in Nature society, 2014, 137(2):268-284
11)Chen Hanning, Zhuyunlong, Ma Lianbo, Niu Ben.Multiobjective RFID Network Optimization Using Multiobjective Evolutionary and Swarm Intelligence Approaches, Applied《Mathematical Problems in Engineering》, 2014
12)Ma Lianbo, Zhu yunlong, Liu Yang. A novel bionic algorithm inspired by plant root foraging behaviors, Applied 《Applied Soft Computing》, 2015, 37(C):95-113
13)Ma Lianbo, Zhu yunlong, Zhang Dingyi.A hybrid approach to artificial bee colony algorithm, Neural Computing & Applications,2015, 27(2):1-23
14)Su Weixing,Zhu yunlong, F Liu,Ma LianboOnline Data Fusion Method for Homogeneous Multi-sensors Based on Advanced Fuzzy Clustering, Applied Information and Control
15)Zhang H, Zhu yunlong, Zou WP, Yan XH. A hybrid multi-objective artificial bee colony algorithm for burdening optimization of copper strip production, Applied Mathematical Modeling, 2012, 36(6):2578-2591
16)Wenping Zou, Yunlong Zhu, Hanning Chen, Beiwei Zhang. Solving Multi-Objective Optimization Problems Using Artificial Bee Colony Algorithm, Discrete Dynamics in Nature and Society.2011
17)Yan XH, Zhu YL and Zou WP,A new approach for data clustering using hybrid artificial bee colony algorithm, NEUROCOMPUTING Volume: 97 Pages: 241-250, NOV 15 2012
18)Yan XH, Zhu YL, Zhang H, Chen HN and Niu B, An Adaptive Bacterial Foraging Optimization Algorithm with Lifecycle and Social Learning, DISCRETE DYNAMICS IN NATURE AND SOCIETY Article Number: 409478,2012
19)Chen HN, Zhu yunlong, Hu KY. “Adaptive Bacterial Foraging Optimization”, Abstract and Applied Analysis,2011
20)Chen HN, Zhu yunlong, Hu KY, Ku T. “Dynamic RFID Network Optimization Using a Self-adaptive Bacterial Foraging Algorithm”, International Journal of Artificial Intelligence,2011, 7: 219-231
21)Chen HN, Zhu yunlong, Hu KY, Ku T. “RFID network planning using a multi-swarm optimizer”, Journal of Network and Computer Applications, 2011, 34(3): 888-901.
22)Zou Wenping, ZhuYunlong, ChenHanning, SuiXin, “A clustering approach using Cooperative Artificial Bee Colony,”Discrete Dynamics in Nature and Society, vol 2010.
23)Ma Lianbo, Zhu yunlong, Liu Yang. A novel bionic algorithm inspired by plant root foraging behaviors, Applied Soft Computing, 2015, 37(C):95-113
24)Ma Lianbo, Zhu yunlong, Zhang Dingyi.A hybrid approach to artificial bee colony algorithm, Neural Computing & Applications, 2015, 27(2):1-23
25)Chen Hanning, Zhuyunlong, HuKunyuan, Ma Lianbo.Bacterial colony foraging algorithm: Combining chemotaxis, cell-to-cell communication, and self-adaptive strategy, Information Sciences,2014, 273(3):73-100
26)Chen Hanning, Zhu yunlong, Ma Lianbo.Multi-hive bee foraging algorithm for multi-objective optimal power flow considering the cost, loss, and emission, International Journal of Electrical Power & Energy Systems, 2014, 60(60):203-220
27)Chen Hanning, Zhu yunlong, Ma Lianbo, Niu Ben.Multi-objective RFID Network Optimization Using Multi-objective Evolutionary and Swarm Intelligence Approaches, Mathematical Problems in Engineering, 2014, 2014(3):1-13
28)Zhang H, Zhu yunlong, Zou WP, Yan XH. A hybrid multi-objective artificial bee colony algorithm for burdening optimization of copper strip production, Applied Mathematical Modelling, 2012, 36(6):2578-2591
29)Wenping Zou, Yunlong Zhu, Hanning Chen, Beiwei Zhang. “Solving Multi-Objective Optimization Problems Using Artificial Bee Colony Algorithm , Discrete Dynamic in Nature and Society.2011.
30)Yan XH, Zhu YL and Zou WP,A new approach for data clustering using hybrid artificial bee colony algorithm, NEUROCOMPUTING Volume: 97 Pages: 241-250, NOV 15 2012
31)Yan XH, Zhu YL, Zhang H, Chen HN and Niu B, An Adaptive Bacterial Foraging Optimization Algorithm with Lifecycle and Social Learning ,DISCRETE DYNAMICS IN NATURE AND SOCIETY Article Number: 409478,2012
32)Chen HN, Zhu yunlong, Hu KY, Ku T. “Dynamic RFID Network Optimization Using a Self-adaptive Bacterial Foraging Algorithm”, International Journal of Artificial Intelligence,2011, 7: 219-231

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