电子信息工程学院
School of electronic information engineering

陈荟慧

2019-04-16

微信截图_20190416174453

一、导师简介

陈荟慧,女,计算机科学与技术专业工学博士,本科、硕士、博士分别毕业于东北电力学院、郑州大学、西北工业大学,中国计算机学会普适计算专委会委员,主要从事移动群体感知、人机协作、智能城市和人工智能等方向的研究,主持1项国家自然科学基金,参与国家973项目课题、国家自然科学重点基金课题和多项国家自然科学基金项目。近些年在国内外期刊和会议上发表学术论文20余篇,包括顶级国际期刊IEEE Communications Surveys & Tutorials,重要国际期刊IEEE
Internet of Things Journal
IEEE Transactions on Mobile Computing International
Journal of Human Computer Studies
,顶级国际会议IEEEINFOCOM等,其中2篇入选ESI高被引论文。申请专利5项,已授权2项。

二、代表性成果

[1] “CrowdTracking: Real-Time Vehicle
Tracking Through Mobile Crowdsensing”, IEEE Internet of Things Journal, 2019.
(SCI 1
)

[2]“Toward
Real-time and Cooperative Mobile Visual Sensing and Sharing”, The 35th Annual
IEEE International Conference on Computer Communicationsn(INFOCOM), San
Fancisco, USA, 2016, pp.1-9.(CCF A
类会议)

[3]“Mobile
Crowd Photographing: Another Way to Watch Our World”. Science China Information
Sciences, 2016,vol. 59, no. 8, Article No.083101. (SCI 4
)

[4] “CooperSense: A Cooperative and
Selective Picture Forwarding Framework based on Tree Fusion”, International
Journal of Distributed Sensor Networks, 2016. (SCI 4
)

[5] “A Generic Framework for
Constraint-Driven Data Selection in Mobile Crowd Photographing”, IEEE Internet
of Things Journal, Vol. 4, No. 1, February 2017, pp. 284 – 296. (SCI 1
)

[6] “CrowdPic: A Multi-CoveragePicture
Collection Framework for Mobile Crowd Photographing”. Proceedings of the12th
IEEE International Conference on Ubiquitous Intelligence and Computing,
Beijing,China, Aug. 10, 2015, pp. 68–76. (CCF C
类会议)

[7] “FlierMeet: A Mobile Crowdsensing
System for Cross-Space Public Information Reposting, and Sharing”, IEEE
Transactions on Mobile Computing, vol.14, no.10. (CCF A
类期刊,SCI 2)

[8] “Worker-Contributed Data Utility
Measurement for Visual Crowdsensing Systems”, IEEE Transactions on Mobile
Computing, Vol. 16, No. 8, August 2017, pp. 2379-2391. (CCFA
类期刊,SCI 2,, ESI
Highly Cited Paper)

[9] “TaskMe: Toward a Dynamic and
Quality-Enhanced Incentive Mechanism for MobileCrowd Sensing”, International
Journal of Human-Computer Studies, vol. 102, Jun.2017, pp. 14–26.(CCF A
类期刊, ESI
Highly Cited Paper)

[10]. “Cyber-Physical-Social Collaborative
Sensing: From Single Space to Cross-space”. Frontiers of Computer Science,
2018. (SCI 4
)

[11] “The Emergence of Visual Crowdsensing:
Challenges and Opportunities”.IEEE Communications Surveys & Tutorials, Vol.
19, No. 4, 2017, pp. 2526-2543.(SCI 1
)

[12]Web语料抓取中基于相似度的URL过滤规则生成算法. 模式识别与人工智能,
vol. 27, no. 7, 2014, pp. 631-637.

[13]开放模式下群智感知高质量数据采集方法研究.小型微型计算机系统,
2019.

三、代表性科研项目

主持“协作式移动群体感知数据选择方法研究”,国家自然科学基金项目,2017-2019.

参与“城市大数据三元空间协同计算理论与方法”,国家973项目课题,2015—2019.

参与“移动社交中感知数据收集的机会路由与交互式内容移交”,国家自然科学重点基金课题,2014-2018.

参与“移动群智感知优质高效数据收集方法研究国家自然科学基金项目,2017-2019.

四、联系方式

Email: hhchen@fosu.edu.cn

微信:uic_lab

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