照片+个人介绍
郭旦怀,男, 博士,教授。
先后主持国家自然科学基金面上项目、国家自然科学基金重大研究计划培育项目、科技部火炬计划子课题和中科院十二五信息化项目子课题10余项等。ACM GIS Cup2014国际竞赛获第一名,China VIS&Vast Challenge 2015三等奖 2018年二等奖,SpatialDI 2020一等奖,在Lancet, Nature Communication, WWW journal,Geoinformatica, Plos ONE, Computers, Environment and Urban Systems,NeuroComputing, Journal of Computer Science and Technology等国际期刊、DASFAA, ,PAKDD,MDM,ACM SIGSPATIAL国际顶级会议发表学术论文近百篇,其中SCI收录40余篇。发明专利4项。
长期从事高性能地理计算及相关研究,2009年博士毕业后加入美国伊利诺伊大学香槟分校王少文教授在中国的CyberGIS研究团队,致力于解决高性能计算、数据密集型计算环境与地理问题求解的交叉问题,并在高性能数据可视化和空间场景相似性计算方面取得了突破性的进展。研发的DMV三层结构的时空数据处理框架可在2秒内处理1TByte的数据并进行可视化;基于空间场景相似性的地图搜索关键技术突破了以往地图搜索只能靠关键字和邻近关系为输入条件的限制。
在数据密集型高性能计算和深度学习方面取得重要进展,部分成果应用于多个横向合作项目,包括中国疾控中心、伊利、中日友好医院、安贞医院等。
牵头研发多个大数据和人工智能平台及应用,其中dviz在国内可视化云服务排名前五,H7N9和高速公路数据可视化等应用等多次获新华社和中央电视台采访报道。
与国内外多个高校和实验室如美国UIUC、澳大利亚昆士兰大学、清华大学、中国人民大学和北京工业大学有长期的合作关系。
研究方向:超大规模时空地理计算、 高性能时空数据分析与可视化、深度学习、公共安全大数据分析与挖掘、公共卫生大数据机器学习
主要科研项目 Research Projects
项目名称 | 项目来源 |
基于深度卷积神经网络的空间场景相似性匹配关键技术研究 | 国家自然科学基金委员会,面上项目 |
数据密集型计算环境下的空间场景相似性搜索研究 | 国家自然科学基金委员会,面上项目 |
基于大数据的首都食源性疾病探测与风险评估 | 北京市自然科学基金委面上项目 |
重大综合灾害耦合实验和模拟技术与设备 | 国家重点研发计划 |
社区风险监测与防范关键技术研究 | 国家重点研发计划 |
面向非常规突发事件应急管理时空大数据可视化服务研究 | 国家自然科学基金委“重大研究计划”小集成项目 |
数据驱动的航天器异常检测研究 | 航天五院 |
获奖情况
2020 SpatialDI Best Paper 一等奖
2019 中国科学院计算机网络信息中心“优秀员工”
2019 ACMSIGSPATIAL EM-GIS workshop Best Paper
2018 China VIS & Vast Challenge二等奖
2016 ACMSIGSPATIAL EM-GIS workshop最佳论文
2015 China VIS & Vast Challenge三等奖
2015 ACMSIGSPATIAL EM-GIS workshop最佳论文
2014 ACM SIGSPATIAL GIS Cup 第一名 (迄今为止大陆团队唯一次夺冠)
2014 WAIM Big-EM workshop最佳论文
2012 入选北京市朝阳区“青年英才计划”
社会任职情况
中国图形图像学会 高级会员 可视化专委会委员
中国计算机学会 高级会员
中国自动化学会 混合智能专委会委员
IEEE/ ACM/ CPGIS 高级会员
首批国家知识产权局专利分析和预警专家
中国互联网协会青年专家委员
国家知识产权局 外聘专家
Journal of Safety Science and Resilience, Editor Board
Data Science Journal, Section Editor
Geoinformatica, “Spatial Computing in Emergency Management” Guest Editor
ACM SIGSPATIAL EM-GIS workshop 2017/2018/2019 Chair
ACM SIGSPATIAL EM-GIS workshop 2016 Co-Chair
ACM SIGSPATIAL EM-GIS workshop 2015 PC member,Organizer
WAIM Big-EM workshop 2014 PC member
近年来部分发表文章:
Selected Journal Paper:
2022
Danhuai Guo, Shiyin Ge, Shu Zhang, Song Gao, Ran Tao, Yangang Wang . "DeepSSN: A deep convolutional neural network to assess spatial scene similarity." Transactions in GIS.
2020
Dhewantara, P. W., A. A. Mamun, W. Zhang, D. Guo, W. Hu, W. Yin, F. Ding and R. J. Magalhaes (2019). "Spatial distribution of leptospirosis incidence in the Upper Yangtze and Pearl River Basin, China: tools to support intervention and elimination." Science of The Total Environment 2020/04.【1区 Top】
2019
Dhewantara, P. W., A. A. Mamun, W. Zhang, D. Guo, W. Hu, W. Yin, F. Ding and R. J. Magalhaes (2019). "GEOGRAPHICAL DISTRIBUTION OF HUMAN LEPTOSPIROSIS INCIDENCE IN THE UPPER YANGTZE AND PEARL RIVER BASIN, CHINA: TOOLS TO SUPPORT SURVEILLANCE AND FOCUSED INTERVENTION." American Journal of Tropical Medicine and Hygiene 101: 336-337.【3区】
Dong, J., B. Chen, L. He, C. Ai, F. Zhang, D. Guo and X. Qiu (2019). "A Spatio-Temporal Flow Model of Urban Dockless Shared Bikes Based on Points of Interest Clustering." ISPRS International Journal of Geo-Information 8(8): 345.【3区】
贾楠,陈永强,郭旦怀,刘奕*,“社区风险防范的三角形模型构建及应用”系统工程理论与实践39(11)【管理学科国内顶刊】
王德强,郭旦怀*,张舒,曹荣强,王彦棡“食源性疾病事件智能探测与预警平台”计算机系统应用019,28(9):102−109
Guo, K., P. Yang, D. H. Guo and Y. Liu (2019). "Gas Leakage Monitoring with Mobile Wireless Sensor Networks." Procedia Computer Science 154: 430-438.
Wang, Y., J. Li, Y. Zhong, S. Zhu, D. Guo and S. Shang (2019). "Discovery of accessible locations using region-based geo-social data." World Wide Web 22(3): 929-944.【CCF-B 3区】
Zhu, S., D. Wang, L. Liu, Y. Wang and D. Guo (2019). "Inferring region significance by using multi-source spatial data." Neural Computing and Applications: 1-9.【CCF-C 2区】
Danhuai Guo, Yingqiu Zhu, Wenwu Yin (2017 online) OSCAR: A framework to integrate spatial computing ability and data resource aggregation for Emergency management of public health, Geoinformatica 22(2) (SCI:2.09)。【CCF-B 2区】
Danhuai Guo, Wenwu Yin, Hongjie Yu, Jean-Claude Thill, Weishi Yang, Feng Chen, Deqiang Wang.The role of socioeconomic and climatic factors in the spatio-temporal variation of human rabies in China. BMC Infectious Diseases 18 (1), 526 (SCI:2.62) 【3区】
Yan Wang, Jianmin Li, Ying Zhong, Shunzhi Zhu, Danhuai Guo, Shuo Shang,Discovery of accessible locations using region-based geo-social data, World Wide Web (SCI:1.15)【CCF-B 3区】
Xiaolong Deng, Yin Luan, Danhuai Guo, Yingtong Dou, Efficient CPS model based online opinion governance modeling and evaluation for emergency accidents, Geoinformatica 22(2) .(SCI:2.09)【CCF-B 3区】
贾楠,郭旦怀,陈永强,刘奕,“面向社区风险防范的大数据平台理论架构设计”清华大学学报(自然科学版) 2019 59(2)。
Liu C, Qian J, Guo D, Yi Liu. A Spatio-temporal Scenario Model for Emergency Decision. Geoinformatica, 22(2) (SCI:2.09).【CCF-B 3区】
PW Dhewantara, AA Mamun, WY Zhang, WW Yin, F Ding, D Guo, W Hu, Epidemiological shift and geographical heterogeneity in the burden of leptospirosis in China,Infectious Diseases of Poverty (7 (1), 57 SCI:2.71)【3区】
Jianmin Li, Yan Wang,Ying Zhong,Danhuai Guo, Shunzhi Zhu. Aggregate location recommendation in dynamic transportation networks. World Wide Web 21 (6), 1637-1653 (SCI:1.15) 【CCF-B 3区】
Pandji Wibawa Dhewantara, Abdullah Al Mamun, Wen-Yi Zhang, Wen-Wu Yin, Fan Ding, Danhuai Guo, Wenbiao Hu, Ricardo J Soares Magalhães. Geographical and temporal distribution of the residual clusters of human leptospirosis in China, 2005–2016.SCIENTIFIC REPORTS 8 (1), 16650 (SCI:4.12)【3区】
2017
Shang S, Zhu S, Guo D*, & Lu M (2017) Discovery of probabilistic nearest neighbors in traffic-aware spatial networks. World Wide Web: 20(5) 20 (5), 1135-1151(SCI:1.15).【CCF-B 3区】
杨微石,郭旦怀*,逯燕玲,王德强,朱映秋,张宝秀,基于大数据的文化遗产认知分析方法--以北京旧城中轴线为例,地理科学进展 2017, 36(9).【地理学国内顶刊】
Wenjuan Cui, Pengfei Wang, Yi Du, Xin Chen, Danhuai Guo, Jianhui Li, Yuanchun Zhou, (2017 online) An Algorithm for Event Detection Based on Social Media Data, Neurocomputing (SCI:3.241).【CCF-C 2区 Top】
Li J, Wang Y, Zhong Y, Guo D, et al. Aggregate location recommendation in dynamic transportation networks[J]. World Wide Web-internet & Web Information Systems, 2017(12):1-17.【CCF-B 3区】
Cadavid Restrepo A M, Yang Y R, Nas H, et al. Land cover change during a period of extensive landscape restoration in Ningxia Hui Autonomous Region, China[J]. Science of the Total Environment, 2017, 598:669-679. (SCI:4.61)【1区 Top】
2016
Danhuai Guo*, Yingqiu Zhu, Wei Xu, Shuo Shang, Zhiming Ding (2016) “How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show” Neurocomputing,(SCI:3.241)【CCF-C 2区Top】
Shuo Shang, Danhuai Guo,* Zhewei Wei, Jirong Wen, (2016) “Prediction-based Unobstructed Route Planning”, Neurocomputing 213(SCI:3.241)【CCF-C 2区 Top】
Shuo Shang, Lisi Chen , Zhe-Wei Wei , Dan-Huai Guo*, and Ji-Rong Wen, (2016) “Dynamic Shortest Path Monitoring in Spatial Networks” Journal of Computer Science and Technology 31(4): 637–648 2016(SCI:0.878)【CCF-B 4区】
杜一, 郭旦怀*, 陈昕, 任磊, 戴国忠, DVIZ: 一种模型驱动的可视化生成系统, 软件学报, 27(5), pp. 1199-1211, 2016【计算机三大学报】
祝天刚, 郭旦怀, 王学志,等. 基于短文本的食源性疾病事件探测技术[J]. 大数据, 2016, 2(2):88-99.【国内大数据专业学报】
Shuo Shang, Danhuai Guo,* Jiajun Liu, Jirong Wen, (2015) “Finding Regions of Interest using Location Based Social Media” Neurocomputing 173, 118-123, (SCI:3.241)【CCF-C 2区 Top】
2015
Y Zhou, Y Zhang, Y Ge, Z Xue, Y Fu, D Guo, J Shao, T Zhu, X Wang, J Li* (2015),An efficient data processing framework for mining the massive trajectory of moving objects,Computers, Environment and Urban Systems (2015)(SCI:1.674)
Danhuai Guo, Ziqi Zhao, Wei Xu, Jinsong Lan, Tao Zhang,Shuguang Liu, Jianhui Li, Yuanchun Zhou (2015), “How to Find a Comfortable Bus Route - Towards Personalized Information Recommendation Services”, Data Science Journal, 2015-05 (EI)
郭旦怀*,崔文娟,郭云昌,黎建辉(2015),“基于大数据的食源性疾病事件探测与风险评估”系统工程理论与实践 35(10)【国内管理类顶级刊物】
2014
杜一,郭旦怀*,周园春,黎建辉,一种大规模时空数据处理与可视化平台 计算机研究与发展 2014【计算机三大学报】
Gilbert, Marius; Golding, Nick; Zhou, Hang; Wint, G. R. William; Robinson, Timothy P.; Tatem, Andrew J.; Lai, Shengjie; Zhou, Sheng; Jiang, Hui; Guo, Danhuai; Huang, Zhi; Messina, Jane P.; Xiao, Xiangming; Linard, Catherine; Van Boeckel, Thomas P.; Martin, Vincent; Bhatt, Samir; Gething, Peter W.; Farrar, Jeremy J.; Hay, Simon I.; Yu, Hongjie Predicting the risk of avian influenza A H7N9 infection in live-poultry markets across Asia. Natural Communications, 2014. 5. (SCI:12.353)【1区 Top】
2013
Guo, D.*, H. Zhou, Y. Zou, W. Yin, H. Yu, Y. Si, J. Li, Y. Zhou, X. Zhou and R. J. S. Magalhes (2013). "Geographical Analysis of the Distribution and Spread of Human Rabies in China from 2005 to 2011." PLoS ONE 8(8): e72352.(SCI:2.766)【3区】
Yu, H., J. T. Wu, B. J. Cowling, Q. Liao, V. J. Fang, S. Zhou, P. Wu, H. Zhou, E. H. Y. Lau, D. Guo, M. Y. Ni, Z. Peng, L. Feng, H. Jiang, H. Luo, Q. Li, Z. Feng, Y. Wang, W. Yang and G. M. Leung (2013). "Effect of closure of live poultry markets on poultry-to-person transmission of avian influenza A H7N9 virus: an ecological study." The Lancet 2013.(SCI:53.254)【1区 Top】
Wang, Y., Y. Zhou, Y. Liu, Z. Luo, D. Guo, J. Shao, F. Tan, L. Wu, J. Li and B. Yan (2013). "A grid-based clustering algorithm for wild bird distribution." Frontiers of Computer Science 7(4): 475-485.(SCI:1.105)【CCF-C 4区】
Selected Peer-reviewed Conference Paper:
Zhang, M., Guo, D., Hu, J. & Jin, W. Risk prediction and assessment of foodborne disease based on big data. in Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management 1–6 (Association for Computing Machinery (ACM), 2019). doi:10.1145/3356998.3365776.【Best Workshop Paper Award】
Wang, Deqiang, D. Guo, and H. Zhang. (2017)"Spatial Temporal Data Visualization In Emergency Management: A view from data-driven decision." , ACM Sigspatial Workshop EM-GIS, 2017:1-7.
Danhuai Guo*,, Yuanchun Zhou, Yingqiu Zhu, and Jianhui Li (2016) “Species Distribution Modeling via Spatial Bagging of Multiple Conditional Random Fields” The 21st International Conference on Database Systems for Advanced Applications (DASFAA), Dallas, TX, USA 【CCF-B】
Yingqiu Zhu, Danhuai Guo*, Deqiang Wang and Jianhui Li (2016) “How to find Environmental Risk Factors of Zoonotic Infectious Disease quickly” ACM SIGSPATIAL 2016-Emergency Management using GIS workshop,California,USA 【Best Workshop Paper Award】
Guo D, Du Y. (2016) A visualization platform for spatio-temporal data: A data intensive computation framework[C]// International Conference on Geoinformatics. IEEE, 2016:1-6.
Cui W, Guo D. (2016) Vehicle delay series forecast based on trajectories of GPS tracked cabs International Conference on Geoinformatics. IEEE, 2016:1-7.
Danhuai Guo, Qingchun Yan, Wenjuan Cui, Jianhui Li (2015) “How to Integrate Open Source Resource to Assess Emergency Management: a Framework and Applications” ACM SIGSPATIAL 2015-Emergency Management using GIS workshop,Seattle,USA (Best Workshop Paper Award)
Danhuai Guo, Yingqiu Zhu, Yong Ge, Wei Xu, Yuanchun Zhou, Jianhuiu Li(2015) “How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show” ICDM HuMoComp Workshop, Atlantic city New Jersey ,USA
Xiao Xiao, Yong Ge, Yunchang Guo, Danhuai Guo, Yi Shen, Yuanchun Zhou, Jianhui Li Automated Detection for Probable Homologous Foodborne Disease Outbreaks, PAKDD 2015 【CCF-C】
Danhuai Guo, Yi Du(2015), “A visual platform for spatio-temporal data: a data intensive computation framework” Geoinformatics 2015, Wuhan China
Y Wang, D Guo*, K Liu, Y Xiong (2014). “A fast algorithm of geometry generalization”, ACM SIGSPATIAL 2014,Dallas,USA 【The First Prize of ACM GIS Cup】
S Shang, D Guo*, J Liu, K Liu (2014). “Human Mobility Prediction and Unobstructed Route Planning in Public Transport Networks” Mobile Data Management (MDM), 2014 IEEE 【CCF-C】
Danhuai, Guo, Jianhui, Li, Hongjie, Cao, Yuanchun, Zhou.(2013) A collaborative large spatiotemporal data visualization architecture for emergence response. The 8th International Symposium on Digital Earth. 2013. Kuching, Sarawak, Malasia: IOP: Earth and Environmental Science.
Guo, D., K. Wu, Z. Zhang and W. Xiang (2012). WMS-based Flow Mapping Services. IEEE services 2012, Hawaii, USA, IEEE.
Delu Zhu ; Kaichao Wu ; Danhuai Guo ; Yuanmin Chen Parallelized Force-Directed Edge Bundling on the GPU DCABES 2012
Guo, D., K. Wu, J. Li and Y. Wang (2010). Spatial scene similarity assessment on Hadoop. ACM SIGSPATIAL'. San Jose, California, ACM: 39-42.
Danhuai Guo, Trajectories Mining for Traffic Condition Renewing, ADMA 2008