杨帆资料,,

2024-05-19 16:39

1. 杨帆资料,,

杨帆(Keven),Angelababy的弟弟,比Angelababy小7岁。1996年出生。汉族人。

2014年跨年演唱会上,Angelababy(杨颖)和黄晓明搭档赢得一众好评,黄晓明更是透露女友辛苦,还要养弟弟。
2015年1月6日,有网友曝光了Angelababy与“小鲜肉”弟弟Keven(杨帆)的合影,照片中的姐弟俩如同一个模子刻出,颜值爆表,直逼一线人气花美男。早在2012年Keven就与姐姐共同参演了电影《第一次》主题曲《都要微笑好吗》MV,并担任男主角,上演姐弟恋。
Keven比姐姐小7岁,一向不出现在公众面前,与姐姐的性格相差很大,很内向。仅有的一次出镜,还是因baby以游戏机作为诱饵,勉强参演了《都要微笑好吗》剧场版MV的拍摄。并且在录制中Keven还一直提醒姐姐记得买游戏机给他,作为补偿。
更新微博,晒出自己和父母以及弟弟照片,并模仿邓超写道:“大家好,我是angelahoney 我觉得我是我们家最好看的。 我成年啦!”照片中,baby从身后乖巧搂住父母,Angelababy妈妈漂亮爸爸帅气,搞笑的是,baby和父母齐瞪着斗鸡眼,让人捧腹,真是温馨有爱的一家人。另外还有“小鲜肉”弟弟的帅照,姐弟两相似的外表让人不禁大呼“男版baby”。

杨帆资料,,

2. 杨帆的简介


3. 杨帆的个人简历


杨帆的个人简历

4. 杨帆的研究概况

 [1] 面向工业大系统安全高效运行的报警设计与消除方法及应用研究 国家自然科学基金重点项目(骨干成员) 2015年1月至2019年12月[2] 清华大学与ABB的国际科技合作项目(负责人) 2014年1月至2014年12月[3] 基于大数据解析的流程工业综合自动化技术升级 清华信息科学与技术国家实验室(筹)面上研究项目(副组长) 2014年1月至2014年12月[4] 多变量大系统的因果拓扑辨识和异常溯源 清华大学自主科研计划(负责人) 2014年1月至2016年12月[5] 面向氯碱化工的节能环保与安全管控MES开发与应用 国家863计划课题(骨干成员) 2013年1月至2015年12月[6] 生产过程异常工况管理和辅助决策支持 清华信息科学与技术国家实验室(筹)学科交叉基金(负责人) 2012年1月至2013年12月[7] 清华大学与ExxonMobil Research and Engineering Company的国际科技合作项目(负责人) 2012年1月至2013年4月[8] 基于 SDG 的大规模复杂系统半定量故障诊断研究 国家自然科学基金青年项目(负责人) 2010年1月至2012年12月[9] Development of an advanced technology for alarm analysis and design 加拿大自然科学与工程委员会战略项目(骨干成员) 2009年10月至2012年9月[10] 基于 SDG 描述的大型复杂系统模型动态特性与故障传播分析(负责人) 中国博士后科学基金项目 2008年12月至2010年6月 [1]YANG Fan, DUAN Ping, SHAH Sirish L, CHEN Tongwen. Capturing Connectivity and Causality in Complex Industrial Processes, Springer, 2014[2] YANG Fan, XIAO Deyun, SHAH Sirish L. Qualitative fault detection and hazard analysis based on signed directed graphs for large-scale complex systems // ZHANG Wei (ed.). Fault Detection, INTECH, March 2010: 15-50 [2] DUAN Ping, YANG Fan, SHAH Sirish L, CHEN Tongwen. Transfer zero-entropy and its application for capturing cause and effect relationship between variables. IEEE Transactions on Control Systems Technology, accepted[3] JIANG Benben, YANG Fan, WANG Wei, HUANG Dexian. Identification of bidirectional path models based on process data. IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2014.2304536[4] ZHANG Cong, YANG Fan, YE Hao. Informative conditions for a data set in a MIMO closed-loop system with a switching controller. International Journal of Robust and Nonlinear Control, DOI: 10.1002/rnc.3136[5] ZHU Jianfeng, SHU Yidan, ZHAO Jinsong, YANG Fan. A dynamic alarm management strategy for chemical process transitions. Journal of Loss Prevention in the Process Industries, 2014, 30: 207-218[6] GAO Xinqing, YANG Fan, HUANG Dexian, DING Yanjun. An iterative two-level optimization method for the modeling of Wiener structure nonlinear dynamic soft sensors. Industrial & Engineering Chemistry Research, 2014, 53(3): 1172-1178[7] SHANG Chao, YANG Fan, HUANG Dexian, LYU Wenxiang. Data-driven soft sensor development based on deep learning technique. Journal of Process Control, 2014, 24(3): 223-233[8] DUAN Ping, CHEN Tongwen, SHAH Sirish L, YANG Fan. Methods for root cause diagnosis of plant-wide oscillations. AIChE Journal, 2014, 60(6): 2019-2034[9] DUAN Ping, YANG Fan, CHEN Tongwen, SHAH Sirish L. Direct causality detection via the transfer entropy approach. IEEE Transactions on Control Systems Technology, 2013, 21(6): 2052-2066[10] YANG Fan, XIAO Deyun, SHAH Sirish L. Signed directed graph-based hierarchical modelling and fault propagation analysis for large-scale systems. IET Control Theory and Applications, 2013, 7(4): 537-550[11] WAN Yiming, YANG Fan, LV Ning, XU Haipeng, YE Hao, LI Weichang, XU Peng, SONG Liming, USADI Adam K. Statistical root cause analysis of novel faults based on digraph models. Chemical Engineering Research & Design, 2013, 91(1): 87-99[12] WEI Yujie, JIANG Yongheng, YANG Fan, HUANG Dexian. Three-stage decomposition modeling for quality of gas-phase polyethylene process based on adaptive hinging hyperplanes and impulse response template. Industrial & Engineering Chemistry Research, 2013, 52(16): 5747-5756[13] XU Haipeng, YANG Fan, YE Hao, LI Weichang, XU Peng, USADI Adam K. Weighted reconstruction-based contribution for improved fault diagnosis. Industrial & Engineering Chemistry Research, 2013, 52(29): 9858-9870[14] 杨帆, 范牛军, 叶昊. PDC方法在化工过程变量间因果关系分析中的应用. 清华大学学报, 2013, 53(2): 210-214[15] YANG Fan, SHAH Sirish L, XIAO Deyun, CHEN Tongwen. Improved correlation analysis and visualization of industrial alarm data. ISA Transactions, 2012, 51(4): 499-506[16] ZHANG Cong, YANG, Fan, YE Hao. Informative property of the data set in a single-input single-output (SISO) closed-loop system with a switching controller. Chinese Journal of Chemical Engineering, 2012, 20(6): 1128-1135[17] ZHAI Shouchao, YANG Fan, YANG Hongying, YE Hao, WANG Guizeng. Leak detection of gas pipelines based on Wigner distribution. Asia-Pacific Journal of Chemical Engineering, 2012, 7(5): 670-677[18] YANG Fan, XIAO Deyun. Progress in root cause and fault propagation analysis of large-scale industrial processes. Journal of Control Science and Engineering, 2012, Article ID 478373[19]YANG Fan, SHAH Sirish L, XIAO Deyun. Signed directed graph modeling and validation of industrial processes by process knowledge and process data. International Journal of Applied Mathematics and Computer Science, 2012, 22(1): 41-53[20] 杨帆, 萧德云. 智能报警系统若干研究问题. 计算机与应用化学, 2011, 28(12): 111-117[21] YANG Fan, XIAO Deyun, SHAH Sirish L. Optimal sensor location design for reliable fault detection in presence of false alarms. Sensors, 2009, 9(11): 8579-8592[22] 杨帆, 萧德云. 控制系统的SDG 模型描述及故障传播分析. 控制与决策, 2009, 24(7): 1006-1011[23] YANG Fan, XIAO Deyun. Sensor location strategy in large-scale systems for fault detection applications. Journal of Computers, 2008, 3(11): 51−57[24] YANG Fan, XIAO Deyun. Probabilistic SDG model description and fault inference for large-scale complex systems. High Technology Letters, 2006, 12(3): 239-244[25] 杨帆, 萧德云. SDG 建模及其应用的进展. 控制理论与应用, 2005, 22(9): 767-774[26] 杨帆, 萧德云. 基于Agent的流程工业MES结构研究. 计算机集成制造系统——CIMS, 2003, 9(2): 107-111 [27] ZHANG Jing, HAN Dong, YANG Fan, YE Hao, CHEN Maoyin. Frequency domain causality analysis method for multivariate systems in hypothesis testing framework // 19th IFAC World Congress, Cape Town, South Africa, August 2014[28] MA Yanjun, SHANG Chao, YANG Fan, HUANG Dexian. Latent subspace clustering based on deep neural networks // Proceedings of the 5th International Symposium on Advanced Control of Industrial Processes, Hiroshima, Japan, May 2014[29] DUAN Ping, YANG Fan, CHEN Tongwen, SHAH Sirish L A new Information theory-based method for causality analysis // Proceedings of the 5th International Symposium on Advanced Control of Industrial Processes, Hiroshima, Japan, May 2014[30] YANG Fan, YU Weijun. Multi-fault diagnosis for industrial processes based on hybrid dynamic Bayesian network // Proceedings of the 32nd IASTED International Conference on Modelling, Identification and Control, Innsbruck, Austria, February 2013: 501-506[31] JIANG Benben, YANG Fan, JIANG Yongheng, HUANG Dexian. An extended AUDI algorithm for simultaneous identification of forward and backward paths in closed-loop systems // Proceedings of the 8th IFAC Symposium on Advanced Control of Chemical Processes, Singapore, July 2012: 396-401[32] YANG Fan, SHAH Sirish L, XIAO Deyun. Correlation analysis of alarm data and alarm limit design for industrial processes // Proceedings of 2010 American Control Conference (ACC), Baltimore, July 2010: 5850-5855[33] YANG Fan, XIAO Deyun. SDG-based fault isolation for large-scale complex systems solved by rough set theory // Proceedings of 17th IFAC World Congress, Seoul, Korea, July 2008: 7221-7226[34] YANG Fan, XIAO Deyun. Interval state estimation in signed directed graph based on sensitivity matrix method // 2008 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Victoria, BC, Canada, May 2008: 672-675[35] YANG Fan, XIAO Deyun. Sensor location problem for large-scale complex systems in the framework of the dynamic signed directed graph // Proceedings of 2007 IEEE International Conference on Systems, Man and Cybernetics (SMC), Montreal, QC, Canada, October 2007: 2843-2847[36] YANG Fan, XIAO Deyun. Approach to fault diagnosis using SDG based on fault revealing time // Proceedings of 6th World Congress on Intelligent Control and Automation (WCICA), Dalian, China, June 2006: 5744-5747

5. 杨帆的个人简介

于2011年赴美国国家天然产物中心,密西西比大学从事联合培养课题:1.西沙海绵中抗疟疾和抗利什曼虫活性先导化合物的发现;2.生物转化工作,利用真菌结构改造海绵次生代谢产物;3.Rapamycin的结构修饰工作。Dr. Fan Yang is a Research Scientist of Marine Natural Product Chemistry with Research Center for Marine Drugs at Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University. Dr. Yang’s research is actively involved in the isolation, structural characterization and synthesis of bioactive secondary metabolites from marine sponges.

杨帆的个人简介

6. 杨帆的个人简介

于2011年赴美国国家天然产物中心,密西西比大学从事联合培养课题:1.西沙海绵中抗疟疾和抗利什曼虫活性先导化合物的发现;2.生物转化工作,利用真菌结构改造海绵次生代谢产物;3.Rapamycin的结构修饰工作。Dr. Fan Yang is a Research Scientist of Marine Natural Product Chemistry with Research Center for Marine Drugs at Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University. Dr. Yang’s research is actively involved in the isolation, structural characterization and synthesis of bioactive secondary metabolites from marine sponges.

7. 杨帆的个人简介

于2011年赴美国国家天然产物中心,密西西比大学从事联合培养课题:1.西沙海绵中抗疟疾和抗利什曼虫活性先导化合物的发现;2.生物转化工作,利用真菌结构改造海绵次生代谢产物;3.Rapamycin的结构修饰工作。Dr. Fan Yang is a Research Scientist of Marine Natural Product Chemistry with Research Center for Marine Drugs at Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University. Dr. Yang’s research is actively involved in the isolation, structural characterization and synthesis of bioactive secondary metabolites from marine sponges.

杨帆的个人简介

8. 杨帆的个人履历

1980年5月25日出生于陕西省咸阳市,从事电子商务推广研究工作。艾瑞网电子商务专栏作家。07年开始曾经多次参与百度,谷歌的培训课程,并结合本行业制作了电子商务初级入门以及中小企业电子商务之路等大众普及型的电子商务课程。从08年开始,成立独立的电子商务推广部门整合研究电子商务的付费广告,seo优化,友情链接,口碑营销等推广方式。