陈晓


一、基础信息

个人简介:陈晓,山东日照人,中共党员,博士研究生学历,硕士研究生导师。郑州大学本科毕业后,赴德国留学,于2020年获德国马格德堡大学工学博士学位。主要从事面向大数据、基于机器学习的船舶能效管理、数据匹配及实体解析等研究工作。自入职上海海事大学以来,教学方面负责了海洋大数据技术、物联网技术导论、智能航运与海洋大数据综合实践等课程。

(一)个人基础信息

性别:女

出生年月:1988.08

职务:讲师

博硕导:硕士生导师

电子邮箱:chenxiao@shmtu.edu.cn

(二)教育经历

于德国马格德堡大学计算机科学专业,取得博士学位

于德国马格德堡大学计算机科学专业,取得硕士学位

于郑州大学计算机科学与技术专业,取得本科学位

(三)工作经历

20219月开始就职于71886a必赢,教师

二、科学研究

(一)研究领域及科研团队

研究领域:基于机器学习的船舶能效管理及航线优化;迁移学习;大数据下的数据集成

(二)科研项目

智慧校园微应用流程服务开发,企事业单位委托项目,2023-2027,主持

(三)代表性论文成果

Xiao Chen, Nishanth Entoor Venkatarathnam, Kirity Rapuru, David Broneske, Gabriel Campero Durand, Roman Zoun, and Gunter Saake. Analysis and Comparison of Block-Splitting-Based Load Balancing Strategies for Parallel Entity Resolution. In International Conference on Information Integration and Web-based Applications & Services (iiWAS2020), pages 446455, ACM, November 2020.

Xiao Chen, Yinlong Xu, David Broneske, Gabriel Campero Durand, Roman Zoun, and Gunter Saake. “Heterogeneous Committee-Based Active Learning for Entity Resolution (HeALER)“. In Proceedings of the European Conference on Advances in Databases and Information Systems (ADBIS), pages 69–85, Springer, September 2019.

Xiao Chen, Gabriel Campero Durand, Roman Zoun, David Broneske, Yang Li, and Gunter Saake. “The Best of Both Worlds: Combining Hand-Tuned and Word-Embedding-Based Similarity Measures for Entity Resolution“. InProceedings of the Symposium on Database systems for Business, Technology and Web (BTW), pages 215–224, March 2019.

Xiao Chen, Kirity Rapuru, Gabriel Campero Durand, and Eike Schallehn. “Performance Comparison of Three Spark-Based Implementations of Parallel Entity Resolution“. InProceedings of the International Workshop on Big Data Management in Cloud Systems (DEXA-BDMICS), pages 76–87, Springer, September 2018.

Xiao Chen, Roman Zoun, Eike Schallehn, Sravani Mantha, Kirity Rapuru, and Gunter Saake. “Exploring Spark-SQL-Based Entity Resolution Using the Persistence Capability“. InProceedings of the International Conference: Beyond Databases, Architectures and Structures (BDAS), pages 3–17, Springer, September 2018.

Xiao Chen, Eike Schallehn, and Gunter Saake. “Cloud-Scale Entity Resolution: Current State and Open Challenges“. Open Journal of Big Data (OJBD), 4(1):30–51, April 2018.

Xiao Chen. “Crowdsourcing Entity Resolution: a Short Overview and Open Issues“. In Proceedings of the GI-Workshop Grundlagen von Datenbanken(GvDB), Gommern, Germany, pages 72–77, 2015.

三、教学信息

(一)授课信息

主讲本科生课程:海洋大数据技术、物联网技术导论、智能航运与海洋大数据综合实践

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