曹志冬 理学博士 . 博士生导师 . 研究员

"国家杰出青年科学基金"获得者

全国科技系统抗击新冠肺炎疫情先进个人

全国科技系统抗击新冠肺炎疫情先进集体,负责人

科技创新2030—“新一代人工智能重大项目,项目负责人,首席科学家

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2008年博士毕业于中科院地理资源所,随后进入中科院自动化所,历任博士后、助理研究员、副研究员、研究员,博士生导师。国家杰出青年科学基金获得者,全国科技系统抗击新冠肺炎疫情先进个人,全国科技系统抗击新冠肺炎疫情先进集体的负责人,新冠肺炎疫情联防联控机制科研攻关组信息化专班的专家组成员,北京市2022年冬奥会和冬残奥会疫情防控专家组专家,任多个国家一级学会的专委会委员、分会理事与常务理事。主持国家级项目和课题10多项,包括6项国自然基金,主持科技创新2030—“新一代人工智能重大项目,任首席科学家。在Nature HBNPJ DMIEEE Trans.IIIEEE Trans.PSIEEE SMC-SystemsNSRChaosIJIDPRE、科学通报、中国科学、中国科学基金等国内外核心期刊和国际会议上发表论文上百篇,主编/译中文著作3部,获军队科技进步一等奖、二等奖(3)、中国仿真学会自然科学一等奖、测绘科学技术特等奖等科技奖励9项。信息化科技抗疫成果获得国家领导和部委领导高度认可和重要批示,新冠学术成果得到纽约时报、华盛顿邮报、Github、中国CDC、科学网等国内外疫情科研信息平台和主流媒体的大量报道、转载和引用。


研究领域

社会计算,时空大数据分析,公共卫生应急管理

教育背景

2005-09--2008-07   中国科学院地理科学与资源研究所   博士
2002-09--2005-07   长沙理工大学   硕士
1997-09--2001-07   长沙理工大学   学士
学历

研究生

学位

理学博士

工作经历

工作简历
2020-11~现在, 中国科学院自动化研究所, 研究员
2011-11~2020-10,中国科学院自动化研究所, 副研究员
2010-05~2011-10,中国科学院自动化研究所, 助理研究员
2008-07~2010-04,中国科学院自动化研究所, 博士后
社会兼职
2021-01-01-今,中国计算机学会, 高级会员
2020-10-01-今,中国人工智能学会社会计算与社会智能专委会, 委员
2020-02-04-今,新冠肺炎疫情联防联控机制科研攻关组信息化专班, 专家组成员
2020-01-01-2025-12-31,中国医学救援协会公共卫生分会, 常务理事
2019-08-01-今,中国指挥与控制学会大数据与工程专业委员会, 委员
2019-07-09-今,中华预防医学会残疾预防与控制专业委员会, 委员
2019-03-01-2023-12-31,中国仿真学会人工社会专委会, 委员
2018-01-01-2021-12-31,中国地理学会地理信息分析委员会, 委员

教授课程

中国科学院大学人工智能前沿课程
大数据管理与应用
健康大数据:方法及应用

专利与奖励



奖励信息
(1) 中国测绘学会科学技术奖特等奖, 特等奖, 部委级, 2021
(2) 中国仿真学会自然科学一等奖, 一等奖, 部委级, 2018
(3) 中国人民解放军科学技术奖, 二等奖, 部委级, 2017
(4) 中国人民解放军科学技术奖, 一等奖, 部委级, 2015
(5) 中国自动化学会科学技术奖, 一等奖, 部委级, 2013
(6) 中国人民解放军科学技术奖, 二等奖, 部委级, 2012
(7) 中国人民解放军科学技术奖, 二等奖, 部委级, 2011
(8) 北京市科学技术奖, 三等奖, 省级, 2011
(9) 中华预防医学会科学技术奖, 三等奖, 部委级, 2011

出版信息

2021

Yang, J.N., Tang, K., Cao, Z. D., Pfeiffer, D. U., Zhao, K., Zhang, Q. P., Zeng, D. D. Demand-driven spreading patterns of African swine fever in China. Chaos. 2021: 31(6).DOI 10.1063/5.0053601.

Yang, J. , Zhang, Q. , Cao, Z. , Gao, J. , Pfeiffer, D. , Zhong, L. & Zeng, D.D.. The impact of non-pharmaceutical interventions on the prevention and control of COVID-19 in New York City. Chaos. 2021, 31(2). DOI:10.1063/5.0040560

Zhou, J. , Lee, S. , Liu, Y. , Liu, T. , Cao, Z. , Zeng, D.D. , Leung, K.S.K. , Wai, A.K.C. , Wong, I.C.K. , Cheung, B.M.Y. , Zhang, Q. & Tse, G. (in press). Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong. npj Digital Medicine, 2021,4(1). DOI 10.1038/s41746-021-00433-4.

Luo T, Cao Z, Zeng D, Zhang Q. A dissemination model based on psychological theories in complex social networks. IEEE Transactions on Cognitive and Developmental Systems. 2021.

Wang Y, Cao Z, Zeng DD, Zhang Q, Luo T. The collective wisdom in the COVID-19 research: Comparison and synthesis of epidemiological parameter estimates in preprints and peer-reviewed articles. International Journal of Infectious Diseases. 2021;104:1-6.

Zhou J, Tse G, Lee S, Liu T, Cao Z, Zeng DD, et al. Interaction effects between angiotensin-converting enzyme inhibitors or angiotensin receptor blockers and steroid or antiviral therapies in COVID-19: A population-based study. J Med Virol. 2021;93(5):2635-41.

Ye, Y. , Zhang, Q. , Cao, Z. & Zeng, D.D.. Optimal vaccination program for two infectious diseases with cross immunity spreading on a network. EPL (Europhysics Letters). 2021, 133. 46001 - (featured as Highlights) doi:10.1209/0295-5075/133/46001

Yang Ye and Qingpeng Zhang and Zhidong Cao and Frank Youhua Chen and Houmin Yan and H. Eugene Stanley and Daniel Dajun Zeng. Impacts of export restrictions on the global personal protective equipment trade network during COVID-19. arXiv. 2021: 2101.12444.

Liu, J. , Tse, G. , Lee, S. , Liu, T. , Cao, Z. , Zeng, D.D. , Leung, K.S.K. , Wai, A.K.C. , Wong, I.C.K. , Cheung, B.M.Y. & Zhang, Q. Interaction Effects Between Angiotensin-Converting Enzyme Inhibitors or Angiotensin Receptor Blockers and Steroid or Anti-viral Therapies in COVID-19: A Population-based Study. Journal of Medical Virology. 2021: 5.

Zhao P, Gu C, Cao Z, Xie D, Teng F, Li J, et al. A Cyber-Secured Operation for Water-Energy Nexus. IEEE Transactions on Power Systems. 2021, 36(4): 3105-3117.

Zhao P, X LU, Gu C, Ai Q, Liu H, Cao Z, et al. Volt-VAR-Pressure Optimization of Integrated Energy Systems with Hydrogen Injection. IEEE Transactions on Power Systems. 2021, 36(3): 2403-2415.

Zhao P, Gu C, Cao Z, Ai Q, Xiang Y, Ding T, et al. Water-Energy Nexus: A Mean-Risk Distributionally Robust Co-Optimization of District Integrated Energy Systems. IEEE Transactions on Power Systems. 2021, 36(3): 2542-2554.

Zhao P, Gu C, Cao Z, Shen Y, Teng F, Chen X, et al. Data-Driven Multi-Energy Investment and Management under Earthquakes. IEEE Transactions on Industrial Informatics. 2021.

Zeng D, Cao Z, Neill DB. Chapter 22 - Artificial intelligence–enabled public health surveillance—from local detection to global epidemic monitoring and control. In: Xing L, Giger ML, Min JK, editors. Artificial Intelligence in Medicine: Academic Press; 2021. p. 437-53.

Zhou H, Zhang Q, Cao Z, Huang H, Zeng DD. Sustainable targeted interventions to mitigate the COVID-19 pandemic: A big data-driven modeling study in Hong Kong. medRxiv. 2021:2021.01.29.21250786.

 

2020

Cao, Z. , Zeng, D. , Zhang, Q. & Wang, Y. 新冠肺炎疫情的复杂性特征与分析研判. 中国科学基金. 2020, 34/6. 675 - 682. doi:10.16262/j.cnki.1000-8217.2020.06.004

Wang YJ, Cao ZD, Zeng D, Wang XL, Wang QY. Using deep learning to predict the hand-foot-and-mouth disease of enterovirus A71 subtype in Beijing from 2011 to 2018. Scientific Reports. 2020;10(1):10.

Tse, G. , Zhou, J. , Lee, S. , Wong, W.T. , Li, X. , Liu, T. , Cao, Z. , Zeng, D.D. , Wai, A.K.C. , Wong, I.C.K. , Cheung, B.M.Y. & Zhang, Q. Relationship between angiotensin-converting enzyme inhibitors or angiotensin receptor blockers and COVID-19 incidence or severe disease. Journal of Hypertension.33.  

Ye Y, Zhang Q, Ruan Z, Cao Z, Xuan Q, Zeng DD. Effect of heterogeneous risk perception on information diffusion, behavior change, and disease transmission. Phys Rev E. 2020;102(4).

Zhang Y, Muscatello DJ, Cao ZD, Chughtai AA, Costantino V, Zhang DT, et al. A model of influenza infection and vaccination in children aged under 5 years in Beijing, China. Human Vaccines Immunother. 2020;16(7):1685-90.

Zhou C, Su F, Pei T, Zhang A, Du Y, Luo B, et al. COVID-19: Challenges to GIS with Big Data. Geography and Sustainability. 2020;1(1):77-87.

Cao Z, Zhang Q, Lu X, Pfeiffer D, Jia Z, Song H, et al. Estimating the effective reproduction number of the 2019-nCoV in China. medRxiv. 2020:2020.01.27.20018952.

Cao Z, Zhang Q, Lu X, Pfeiffer D, Wang L, Song H, et al. Incorporating Human Movement Data to Improve Epidemiological Estimates for 2019-nCoV. medRxiv. 2020:2020.02.07.20021071.

Luo T, Cao Z, Wang Y, Zeng DD, Zhang Q. Role of asymptomatic COVID-19 cases in viral transmission: Findings from a hierarchical community contact network model. medRxiv. 2020:2020.11.21.20236034.

Zhou H, Yang J, Tang K, Zhang Q, Cao Z, Pfeiffer D, et al. Healthcare-resource-adjusted vulnerabilities towards the 2019-nCoV epidemic across China. medRxiv. 2020:2020.02.11.20022111.

Zhou J, Lee S, Wang X, Li Y, Wu WKK, Liu T, et al. Development of a predictive risk model for severe COVID-19 disease using population-based administrative data. medRxiv. 2020:2020.10.21.20217380.

Zhou J, Tse G, Lee S, Liu T, Wu WKK, Cao Z, et al. Identifying main and interaction effects of risk factors to predict intensive care admission in patients hospitalized with COVID-19: a retrospective cohort study in Hong Kong. medRxiv. 2020:2020.06.30.20143651.

Zhou J, Tse G, Lee S, Wong WT, Wang X, Wu WKK, et al. Renin-angiotensin system blockers and mortality in COVID-19: a territory-wide study from Hong Kong. medRxiv. 2020:2020.12.21.20248645.

Zhao P, Gu C, Cao Z, Xiang Y, Yan X, Huo D. A two-stage data-driven multi-energy management considering demand response. 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020, September 12, 2020 - September 17, 2020; 2020; Virtual, Online, Mexico: Association for Computing Machinery.

 

2019

Wang XZ, Liu Y, Zhang H, Ma QJ, Cao ZD. Public Health Emergency Management and Multi-Source Data Technology in China. Intell Autom Soft Comput. 2018;24(1):89-96.

Zhang Y, Cao Z, Costantino V, Muscatello DJ, Chughtai AA, Yang P, et al. Influenza illness averted by influenza vaccination among school year children in Beijing, 2013-2016. Influenza and Other Respiratory Viruses. 2018;12(6):687-94.

Luo TY, Cao ZD, Zeng D. Research on Information Dissemination of Public Health Events Based on WeChat: A Case Study of Avian Influenza. 2019 Ieee International Conference on Intelligence and Security Informatics. 2019. 221.

Wang JJ, Chen JL, Zu QN, Cao ZD, He SK, Zeng DD. Healthcare-seeking behavior study on Beijing Hand-Foot-Mouth Disease Patients. 2019 Ieee International Conference on Intelligence and Security Informatics. 2019. 140-2.

Wang Y, Cao Z, editors. Social cognition construction of the avian flu based on social media big data. 17th IEEE International Conference on Intelligence and Security Informatics, ISI 2019, July 1, 2019 - July 3, 2019; 2019; Shenzhen, China.

Wang Y, Cao Z, editors. Network agenda setting and social cognition construction of the dengue fever epidemic event based on social media big data. 23rd Pacific Asia Conference on Information Systems: Secure ICT Platform for the 4th Industrial Revolution, PACIS 2019, July 8, 2019 - July 12, 2019; 2019; Xi'an, China.

Zhu BH, Wang LG, Wang HY, Cao ZD, Zha L, Li Z, et al. Prediction model for dengue fever based on interactive effects between multiple meteorological factors in Guangdong, China (2008-2016). Plos One. 2019;14(12):12.

Wang J, Cao Z, Zeng DD, Wang Q. Epidemiological and space-time analysis of Beijing Intestinal Infectious Diseases. Online Journal of Public Health Informatics. 2019;11(1).

陈艳伟, 窦相峰, 孙玉兰, 曹志冬, 田丽丽, 陈丽娟, 王全意, 黎新宇. 20102018年北京市肾综合征出血热空间分布特征研究. 国际病毒学杂志. 2019: 308-312.

科研活动

   
科研项目
( 1 ) 大数据驱动的安全信息学, 参与, 国家级, 2017-01--2022-12
( 2 ) 基于人口流动迁移模式的传染性流行规律研究, 主持, 国家级, 2019-07--2022-12
( 3 ) 重大传染病疫情传播的时空计量建模与风险预测, 主持, 国家级, 2020-04--2021-04
( 4 ) 深度学习技术在EV-A71疫苗及手足口病多价疫苗接种影响力评估中的应用研究, 主持, 省级, 2019-12--2022-12
( 5 ) 基于大数据的2019-nCoV疫情流行特征分析、态势预测及溯源研究, 主持, 国家级, 2020-02--2022-12
( 6 ) 公共卫生应急管理, 主持, 国家级, 2021-01--2025-12
( 7 ) 大数据驱动的XXX关键技术研究与系统平台建设, 主持, 国家级, 2021-08--2023-08
( 8 ) 科技创新2030—“新一代人工智能”重大项目“重大传染病预测新模型及政策评估研究”, 主持, 国家级, 2021-12--2024-11

合作情况

   

指导学生

已指导学生

王月娇  硕士研究生  085211-计算机技术  

杨芸榕  硕士研究生  085210-控制工程  

现指导学生

刘林  硕士研究生  0811J2-社会计算  

艾祖鹏  博士研究生  120100-管理科学与工程