王志晓 副教授 博导 物联网工程系副主任
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王志晓，男，副教授，博士生导师，西安理工大学计算机科学与工程学院物联网工程系副主任，西安交通大学博士和博士后研究员，德国哥廷根大学联合博士和博士后研究员。目前，主要从事智能空间（涵盖：物联网+人+事件）中大数据挖掘与理解以及AI的应用研究工作，内容主要包括但不限于：智慧城市及其数字治理、智慧厂矿及其智慧安防、异常检测与识别等，以及开放场景中的智能检测识别系统，也包括各类网络及信息系统等硬软件研发。担任或曾任中国指挥与控制学会城市大脑专委会委员，中国指挥与控制学会城市大脑咨询委员会专家，甘肃庆阳市政府数字经济咨询专家，咸阳市科协科技创新智库特聘专家，江苏省无锡市空天信息产业科技镇长团专家成员，陕西省计算机学会计算机体系结构与网络专委会副主任，中国计算机学会大数据专委会委员中国电子学会物联网青年专技委通信委员，中国计算机学会计算机应用专委会委员，中国计算机学会物联网专委会委员，中国图象图形学会会员，中国应用数学学会会员，人工智能学会会员，陕西省计算机教育学会理事，省大学生计算机竞赛委员会委员，陕西省科技特派员，榆林市科技特派员，多省市科技项目评审专家，优秀共产党员，岗位学雷锋标兵，国家一流本科课程《计算机网络》骨干成员，原陕西省网络计算与安全技术重点实验室秘书，入选江苏省镇江市金山人才和润州英才计划；在多个国际期刊和国际会议审稿人以及TPC成员（Transactions on Emerging Telecommunications Technologies, KSII Transactions on Internet and Information Systems, Journal of Computer Networks and Communications,Journal of Information Security and Applications, IET Networks, Conext'15, PASS4CI 2015, MCSoC-2016, QoSE WMC 2016, CECNet 2016, ICAIS 2020, ICMSOA2020-2022, IEEE Cloud 2021, IEEE EDGE 2020-2024,等等）），在国内外学术期刊和会议发表论文近50篇，其中SCI/EI检索40多篇。近年来，主持或参与国家级，省部级，市级，厅局级和校企合作项目50余项，申请授权专利和软件著作权10多项，并获陕西省科学技术奖二等奖1项，西安市科学技术奖二等奖2项，陕西高等学校科学技术奖一等奖1项，二等奖2项，三等奖1项；指导学生获各级别奖项近10项。

英文介绍（English Version）：
Greeting!!!
Dr. Zhixiao WANG, Associate Professor, works at Xi’an University of Technology. He received his Ph.D. degree from Xi'an Jiaotong University in 2014, M.S. degree from Xi'an University of Technology in 2004, and B.S. degree from Shijiazhuang Economic University in 2000, all in Computer Science. He was a postdoctoral research fellow and a visiting scholar at the University of Goettingen in Germany during from 2017 to 2019, which was funded by China Scholarship Council (CSC). Prior to that, he also studied at the University of Goettingen as Ph.D exchange student during from 2010 to 2011, which was supported by the European Union (EU) Erasmus Mundus Program (LiSUM) Scholarship. His research interest includes intelligent information processing, Internet of Things, complex and networked system theory and their applications, all for smart space.
My Research focuses on: Big data analysis and mining in smart space and social media, which covers environmental/ambient intelligence, environment quality prediction, user activity modeling and prediction, point-of-interest recommendation, human action/activity recognition and prediction, public opinion and sentiment analysis, as well as AIoT(AI+Internet of Things) and its application, etc.
Email：wangzhx AT xaut DOT edu DOT cn
https://orcid.org/my-orcid?orcid=0000-0002-8143-1579