天津大学高忠科教授学术报告会
上传时间:2022-07-21 浏览次数:317

报告人:高忠科

主题:复杂网络多源信息融合理论与应用

时间:2022728日(周四)14:00

会议链接:腾讯线上会议码:417-797-559


内容摘要:

Revealing complicated behaviors from time series constitutes a fundamental problem of continuing interest and it has attracted a great deal of attention from a wide variety of fields on account of its significant importance. The past decade has witnessed a rapid development of complex network studies, which allow to characterize many types of systems in nature and technology that contain a large number of components interacting with each other in a complicated manner. Recently, the complex network and deep learning have been incorporated into the ****ysis of time series and fruitful achievements have been obtained. Complex network and deep learning ****ysis of time series open up new venues to address interdisciplinary challenges in multiphase flow, brain-computer interface, and rehabilitation engineering. Some novel methodologies and their applications in this research area will be introduced.

个人介绍:

   高忠科,天津大学电气自动化与信息工程学院教授、博士生导师,国家优秀青年科学基金获得者,天津市杰出青年科学基金获得者,全球高被引科学家,中国高被引学者,天津市中青年科技创新领军人才。主要研究方向为复杂网络多源信息融合理论、新型传感器技术、脑机融合与混合智能等,已在IEEE Transactions on Neural Networks and Learning SystemsIEEE Transactions on Industrial InformaticsIEEE Transactions on Systems, Man, and Cybernetics: Systems等国际期刊上发表SCI检索论文130余篇;在德国Springer出版社出版英文学术专著一部;第一发明人中国发明专利76项。主持国家级省部级项目10余项。获2021年强国青年科学家提名,2018年和20192次获得英国皇家物理学会(IOP)高被引中国作者奖,入选“全球顶尖前10万科学家”榜单。



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