Basic Information
Tel: 0755-86570985
Address: Information Building L724, Harbin Institute of Technology (Shenzhen)
Email: hitchenbo@hit.edu.cn
Research Interests:Aerospace big-data representation model, high dimensional grid and tensor spaces, data organization model and data-lake, resource description model and resource-pool; Intelligent computing technology for Aerospace big-data; software defined intelligent observation, new geocode-identification network.
Research Interests
（1）Aerospace big-data representation model: high dimensional grid and tensor spaces, adaptive-scale spatiotemporal coding, deep space grid and coding, data organization model and data-lake, resource description model and resource-pool.
（2）Intelligent computing technology for Aerospace big-data：Machine learning inspired by cognitive neuroscience, coding algebra for tensor space, high-dimensional index and measurement engine, high-dimensional data analysis and mining, high-dimensional information expression and visualization
（3）Innovative application methods for aerospace big-data：On board data templating processing and precision service, software defined intelligent observation, representation and calculation for multi-domain electromagnetic information, new geocode-identification network
2020-present professor, Harbin Institute of Technology (Shenzhen)
2018-2020 Research associate professor, Peking University
2016-2018 Research assistant professor, Peking University
2009-2015 Postdoctor, Peking University
2005—2008 Ph.D., PLA Information Engineering University, China
2002—2005 Master, PLA Information Engineering University, China
1998—2002 undergraduate, PLA Information Engineering University, China
2020, Second prize of China standard innovation contribution award
2019, Second prize of Guangxi science and technology progress award
2019, Second prize of artificial intelligence technology progress award
2018, Second prize of Guangxi science and technology progress award
2017, First prize of military science and technology progress award
2011, Second prize of military science and technology progress award
2010, Second prize of military science and technology progress award
2005, Second prize of military science and technology progress award
Postgraduate courses:
《Introduction to Aerospace Big-data》
《Advanced aerospace information technology》
[1] Geng zexun, Chen Bo, Wang Yan, Wang zhenguo, The theory and method of adaptive optics image restoration, (2010), Science Press ( in Chinese)
[2] Cheng chengqi, Ren Fuhu, Pu Guoliang, Wang Hong, Chen Bo, Introduction to Spatial Information Subdivision Organization,, (2012), Science Press (in Chinese)
[1] Shuang Li, Kaihua Hou, Chengqi Cheng, Shizhong Li, Bo Chen*, A Space-Interconnection Algorithm for Satellite Constellation Based on Spatial Grid Model, Remote Sensing, 12:2132, 2020
[2] Tengteng Qu, Lizhe Wang, Jian Yu, Jining Yan, Guilin Xu, Meng Li, Chengqi Cheng, Kaihua Hou, Bo Chen*, STGI：a spatio-temporal grid index model for marine big data, Big Earth Data, 2020
[3] Xiaochong Tong, Chengqi Cheng, Rong Wang, Lu Ding, Yong Zhang,Guanglin Lai, Lin Wang, Bo Chen*, An efficient integer coding index algorithm for multi-scale time information management, Data & Knowledge Engineering,119:123-138, 2019
[4] Shuang Li, Chengqi Cheng, Guoliang Pu, Chen Bo*,QRA-Grid: Quantitative Risk Analysis and Grid-based Pre-warning Model for Urban Natural Gas Pipeline , ISPRSInt.J.Geo-Inf., 8(03) :122, 2019
[5] Shuang Li,Guoliang Pu,Chengqi Cheng,Bo Chen*,Method for managing and querying geo-spatial data using a grid-code-array spatial index, Earth Science Informatics, 12(2):173-181, 2019
[6] Mengke Yang,Chengqi Cheng, Chen Bo*, Mining Individual Similarity by Assessing Interactions with Personally Significan Places from GPS Trajectories , ISPRSInt.J.Geo-Inf., 7(03):126, 2018
[7] Qi Kun,Cheng Chengqi,Hu Yina,Fang Huaqiang,Ji Yan, Chen Bo*, An Improved Identification Code for City Components Based on Discrete Global Grid System, ISPRSInt.J.Geo-Inf., 6(12):381, 2017
[8] Qi Kun, Hu Yina, Cheng Chengqi,Chen Bo*,Transferability of economy estimation based on DMSP/OLS night-time light, Remote Sensing, 9(8):786, 2017
Recruiting graduate students and Postdoctoral Fellows in the fields of aerospace big-data, intelligent computing technology, and space information technology. The salary of Postdoctoral Fellows is higher than 300,000/year (after tax).
Overview
