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个人简介
Research
Haopeng Chen is an Associate Prof. of School of Software, Shanghai Jiao Tong University. His research interest mainly focus on software architecture and development technique of distributed systems, including service computing, cloud computing and big data.
Service Computing is his first interest, he proposed an idea of describing, discovering, and managing service based on closed loop feedback on Internet and got a funding support from National High-Tech Research Development Program of China. His another research interest is Cloud Computing, in which he proposed a profit-driven dynamic computing resource scheduling framework and a hybrid cloud storage for IaaS. Recently, he also focuses on big data, including big data storage and processing, and big data applications, such as big data mining of MOOCs supported by MOE.
Research Field
Service Computing: service-oriented computing, context-aware service recommendation, and dynamic service composition and substitution
Cloud Computing: computing resource scheduling, hybrid cloud storage, and inter-cloud
Big Data: resilient storage for big data, high performance engine for big
Awards and Honors
1) Shanghai Science and Technology Progress Award (Second Class), By Shanghai municipal government, 2013
2) IBM Faculty Award, By IBM, 2016
Haopeng Chen is an Associate Prof. of School of Software, Shanghai Jiao Tong University. His research interest mainly focus on software architecture and development technique of distributed systems, including service computing, cloud computing and big data.
Service Computing is his first interest, he proposed an idea of describing, discovering, and managing service based on closed loop feedback on Internet and got a funding support from National High-Tech Research Development Program of China. His another research interest is Cloud Computing, in which he proposed a profit-driven dynamic computing resource scheduling framework and a hybrid cloud storage for IaaS. Recently, he also focuses on big data, including big data storage and processing, and big data applications, such as big data mining of MOOCs supported by MOE.
Research Field
Service Computing: service-oriented computing, context-aware service recommendation, and dynamic service composition and substitution
Cloud Computing: computing resource scheduling, hybrid cloud storage, and inter-cloud
Big Data: resilient storage for big data, high performance engine for big
Awards and Honors
1) Shanghai Science and Technology Progress Award (Second Class), By Shanghai municipal government, 2013
2) IBM Faculty Award, By IBM, 2016
研究兴趣
论文共 169 篇作者统计合作学者相似作者
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Lecture Notes in Computer Sciencepp.357-368, (2023)
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2023 IEEE 35TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, ICTAIpp.578-585, (2023)
IET Image Processingno. 12 (2022): 3143-3154
2022 International Joint Conference on Neural Networks (IJCNN)pp.1-7, (2022)
PRICAI 2023: Trends in Artificial Intelligence: 20th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2023, Jakarta, Indonesia, November 15–19, 2023, Proceedings, Part Ipp.92-97, (2022)
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arxiv(2021)
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