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王为 教授
2021-10-10 20:30   必赢线路检测中心

Email:weiwang@tjnu.edu.cn

教授、博士生导师

目前研究方向包括:图信号处理、动态信号智能挖掘、可解释人工智能技术、计算机视觉目标检测与识别

教育经历

2007.9-2010.7天津大学,测试计量技术及仪器,博士

2003.9-2006.3天津大学,测试计量技术及仪器,硕士

1999.9-2003.7北京科技大学,测控技术与仪器,学士

主要学术任职

2019 IEEE Senior Member

2021 Outstanding Associate Editor of IEEE Access

主要科研工作经历

2017.11-至今,天津师范大学,必赢线路检测中心,教授

2012.10-2017.11,天津师范大学,必赢线路检测中心,副教授

2010.7-2012.10,天津师范大学,必赢线路检测中心,讲师

主持的主要科研项目

[1]面向任务的智能传感网优化部署,国家自然科学基金,50万,2024.1.1-2027.12.31

[2]基于HIL的多任务XXXX训练模拟系统,天津市智能制造专项项目,51.6万;2021.1-2022.12

[3]人工智能及传感器技术服务智慧城市研讨会,国家自然科学基金,15万,2020.07-2021.06,

[4]基于张量的多源异构数据流挖掘,国家自然科学基金,59万,2020.01-2023.12

[5]基于传感网的地质灾害监测研讨会,国家自然科学基金,15万,2017.01-2017.12

[6]基于压缩域传感网数据流的状态识别算法研究,国家自然科学基金,21万,2016.01-2018.12

主要科研论著

[1]Xiu Zhang, Xin Zhang,Wei Wang, Intelligent Information Processing with Matlab, Springer, 2023

[2]《人工智能教学设计与案例》,电子工业出版社,主编:张新、韩亮、丁晓铭;副主编:韩婷婷、王为、张宝菊,2023

[3]Wei Wang,Guangming Wang, Xiaoming Ding, Baoju Zhang, Artificial Intelligence in Education and Teaching Assessment, Springer, 2021

[4]Tariq S.Durrani,Wei Wang, Sheila M Forbes, Geological Disaster Monitoring Based on Sensor Networks, Springer,2018

[5]Hefei Gao, Naiyu Cui,Wei Wang*,Deployment Optimization of Intelligent Wireless Sensor Network using Graph Similarity based on Multi-Granularity Cross Representation and Matching, IEEE/ACM Transactions On Networking, 2023.9,

[6]Wei Wang*,Qianwen Zhu, Hefei Gao, Drift Detection of Intelligent Sensor Network Deployment Based on Graph Stream, IEEE Trans. On Network Science and Engineering, 2023, Vol.10(2) :1096-1106

[7]Mengjun Zhang,Wei Wang*, Weighted Adaptive Partition for Heterogeneous IoT Data Stream, IEEE Internet of Things Journal, 2021, Vol.8(20):15240-15248

[8]Yifei Yuan, Zhixiong Wang,Wei Wang*. Unsupervised Concept Drift Detection Based On Multi-scale Slide Windows, Ad Hoc Networks, Vol.111,2021,2

[9]Wei Wang*, Mengjun Zhang, Self-Adaptive Gathering for Energy Efficient Data Stream in Heterogeneous Wireless Sensor Networks based on Deep Learning, IEEE Wireless Communications, 2020, Vol.27(5):74-79

[10]Wei Wang*, Min Zhang,Tensor Deep Learning Model for Heterogeneous Data Fusion in Internet of Things, IEEE Transactions on Emerging Topics in Computational Intelligence, 2020, Vol.4(1):32-41

[11]Wei Wang*, Li Zhang, Mengjun Zhang, Zhixiong Wang, Few Shot Learning for Multi-class Classification based on Nested Ensemble DSVM, Ad Hoc Networks, Vol.98,2020,3

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