张永宏

个人信息Personal Information

教授 博士生导师

教师拼音名称:zhangyonghong

职务:校长

性别:男

学位:工学博士学位

职称:教授

毕业院校:上海交通大学

博士生导师

学科:信号与信息处理
模式识别与智能系统

个人简介Personal Profile

张永宏,男,1974年11月生,山东莒南人。博士,教授,博士生导师,中共党员。现任南京信息工程大学自动化学院教授,无锡学院党委副书记、校长。

主要研究方向为:主要从事模式识别与智能系统、遥感大数据分析与深度学习、智能装备与物联网系统集成,以及高等教育教学管理与与研究工作。近几年来,主持国家重点研发计划项目、国家自然科学基金重大研究计划项目、国家自然科学基金国际(地区)合作与交流项目、国家自然科学基金面上项目、江苏省科技支撑计划项目10余项、发表高水平学术论文50余篇。先后荣获国家级高等教育教学成果一等奖1项,省部级教学科研成果奖3项,荣获江苏省“青蓝工程”中青年学术带头人、江苏省“六大人才高峰”高层次人才资助等


学习经历

1994.09-1998.07,景德镇陶瓷学院,机械电子工程系,本科生

1999.09-2002.03,南京林业大学,机械电子工程学院,硕士生

2002.04-2005.06,上海交通大学,机械与动力工程学院,博士生

2007.04-2008.09,加拿大阿尔伯塔大学,机械工程系,博士后

工作经历

2005.07-2007.06,南京信息工程大学,信息与控制学院,讲师

2007.07-2009.06,南京信息工程大学,信息与控制学院,副教授

2009.07-2011.12,南京信息工程大学,信息与控制学院,教授、副院长

2012.01-2013.12,南京信息工程大学,教务处副处长(主持工作),教授、博导

2014.01-2017.06,南京信息工程大学,教务处处长,教授、博导(其中2017.01-2017.06挂职无锡市锡山区委常委、副区长)

2017.06-2021.06,南京信息工程大学副校长、党委常委

2021.07,无锡学院党委副书记、校长


热烈欢迎有学术追求的同学联系我,加入我们实验室继续攻读硕士和博士学位!

Email: zyh@nuist.edu.cn; yhzhang@cwxu.edu.cn


代表性科研项目

[1] 米级国产卫星数据在“一带一路”区域的云服务与应用示范,国家重点研发计划政府间重点专项项目,2022-2024,主持;

[2] 基于双偏振雷达多参量-多任务时空深度学习的强降水短临预报方法研究,国家自然科学基金面上项目,2022-2025,主持;

[3] 基于天气系统自动识别的新疆牧区雪灾遥感监测与预警研究,国家自然科学基金面上项目,2019-2022,主持;

[4] 中尼公路沿线山地灾害遥感监测与预警研究(41661144039),国家自然科学基金国际(地区)合作与交流项目,2017-2019,主持;

[5] 过渡飞行模式下倾转定翼无人机动力学建模与运动稳定性研究(51575283),国家自然科学基金面上项目,2016-2019,主持;

[6] 基于FY-3卫星多源遥感资料融合的青藏高原积雪分布研究(91337102),国家自然科学基金重大研究计划培育项目,2014-2016,主持;

[7] 动车组转向架关键铸锻件数字化超声探伤及成套装备(BY2012027),江苏省产学研前瞻性联合研究项目,2012-2014,主持;

[8] 汽车等速万向节驱动轴总成综合性能试验测试装备(JXQC-139-132),江苏省六大人才高峰高层次人才资助项目,2011-2013,主持;

[9] 基于图像识别的旋转刀具状态监测多参数综合评价方法[2010](609号),教育部留学回国人员科研启动基金,2010-2012,主持;

[10] 基于压缩感知的超声相控阵结构健康监测技术研究(51305211),国家自然科学基金项目,2014-2016,主研;

[11] An Advanced Signal Integration System for Quantitative Identification of Damage in Pipeline,加拿大国家自然科学基金重大项目,2006-2008,主研。


代表性学术论文

[1] Linglong Zhu, Guangyi Ma, Yonghong Zhang*, Jiangeng Wang, Wei Tian, Xi Kan. Accelerated decline of snow cover in China from 1979 to 2018 observed from space, Science of The Total Environment, 2022, 814: 152491

[2] Linglong Zhu, Yonghong Zhang*, Jiangeng Wang, Wei Tian , Qi Liu, Guangyi Ma, Xi Kan and Ya Chu. Downscaling Snow Depth Mapping by Fusion of Microwave and Optical Remote-Sensing Data Based on Deep Learning. Remote Sensing. 2021, 13, 584

[3] Runzhe Tao, Yonghong Zhang*, Lihua Wang, Qi Liu & Jiangeng Wang. U-High resolution network (U-HRNet): cloud detection with high-resolution representations for geostationary satellite imagery, International Journal of Remote Sensing, 2021, 42(9), 3511-3533

[4] Yonghong Zhang, Hao Liu, Wei Tian & Jiangeng Wang. Estimation of precipitation intensity based on small wisely network (SW-Net), International Journal of Remote Sensing, 2021, 42(14), 5321-5341

[5] Min Xia , Tao Wang , Yonghong Zhang , Jia Liu & Yiqing Xu. Cloud/shadow segmentation based on global attention feature fusion residual network for remote sensing imagery, International Journal of Remote Sensing, 2021, 42(6), 2022-2045

[6] Min Xia , Yichen Cui , Yonghong Zhang , Yiming Xu , Jia Liu & Yiqing Xu. DAU-Net: a novel water areas segmentation structure for remote sensing image, International Journal of Remote Sensing, 2021, 42(7), 2594-2621

[7] Yonghong Zhang, Shiwei Chen , Wei Tian, and Shuai Chen. Radar reflectivity and meteorological factors merging based precipitation estimation neural network. Earth and Space Science, 2021, 8, e2021EA001811

[8] Yonghong Zhang, Shiwei Chen, Wei Tian, Guangyi Ma, and Shuai Chen. Offline Single-Polarization Radar Quantitative Precipitation Estimation Based on a Spatiotemporal Deep Fusion Model, Advances in Meteorology, 2021, 9659167

[9] Min Xia , Namei Tian , Yonghong Zhang , Yiqing Xu & Xu Zhang. Dilated multi-scale cascade forest for satellite image classification, International Journal of Remote Sensing, 2020, 41(20), 7779-7800

[10] Kaushal Raj Gnyawali, Yonghong Zhang*, Guojie Wang, Lijuan Miao, Ananta Man Singh Pradhan, Basanta Raj Adhikari, Liming Xiao. Mapping the susceptibility of rainfall and earthquake triggered landslides along China–Nepal highways, Bulletin of Engineering Geology and the Environment, 2020, 79, 587–601

[11] Yonghong Zhang, Taotao Ge, Wei Tian, Yuei-An Liou. Debris Flow Susceptibility Mapping Using Machine-Learning Techniques in Shigatse Area, China, Remote Sensing. 2019, 11, 2801

[12] Yonghong Zhang, Guanghao Xia , Jiangeng Wang , and Dron Lha. A Multiple Feature Fully Convolutional Network for Road Extraction From High-Resolution Remote Sensing Image Over Mountainous Areas, IEEE Geoscience and Remote Sensing Letters, 2019, 16(10), 1600-1604

[13] JiangengWang, Yonghong Zhang*, Yinyi Cheng, Xueliang Zhang, Xuezhi Feng, Wei Huang, Hao Zhou. Detecting Snowfall Events over Mountainous Areas Using Optical Imagery, Water 2018, 10, 1514

[14] Linglong Zhu, Yonghong Zhang*, Xi Kan, Jiangeng Wang. Transport Paths and Identification for Potential Sources of Haze Pollution in the Yangtze River Delta Urban Agglomeration from 2014 to 2017. Atmosphere 2018, 9, 502

[15] Yonghong Zhang, Ting Cao, Xi Kan, Jiangeng Wang, Wei Tian. Spatial and Temporal Variation Analysis of Snow Cover Using MODIS over Qinghai-Tibetan Plateau during 2003–2014, Journal of the Indian Society of Remote Sensing 2017, 45(5), 887–897

[16] Yonghong Zhang, Xi Kan, Wei Ren, Ting Cao, Wei Tian, Jiangeng Wang. Snow Cover Monitoring in Qinghai-Tibetan Plateau Based on Chinese Fengyun-3/VIRR Data, 2017, 45(2), 271–283

[17] Liming Xiao, Yonghong Zhang*, Gongzhuang Peng. Landslide Susceptibility Assessment Using Integrated Deep Learning Algorithm along the China-Nepal Highway. Sensors, 2018, 18, 4436

[18] Yonghong Zhang, Tiantian Dong, Yunping Liu. Design of Meteorological Element Detection Platform for Atmospheric Boundary Layer Based on UAV. International Journal of Aerospace Engineering, 2017, 1831676









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