个人简述:

2001.9-2005.6 南京航空航天大学 本科
2005.9-2008.4 南京航空航天大学 硕士
2008.9-2012.10 德国哈根大学   博士
ACM SIGSPATIAL 成员 from 2014.1
CCF会员，CCF数据库专委委员

科研工作:

发表学术论文,出版专著情况：
[1] J. Xu, H. Lu and R.H. Güting. Range Queries on Multi-Attribute Trajectories, IEEE Transactions on Knowledge and Data Engineering, concise paper, to appear, 2018. (CCF A)
[2] J. Xu and H. Lu Efficiently Answer Top-k Queries on Typed Intervals, Information Systems, 71:164-181, 2017. (CCF B)
[3] J. Xu and R.H. Güting. Query and Animate Multi-attribute Trajectory Data, CIKM, 2017, Demo, pages 2551-2554, .(CCF B)
[4] J. Xu and J. Liang. A System for Querying and Displaying Typed Intervals, SSTD, 2017, demo, pages 440-445. (CCF C)
[5] W. Wang and J. Xu. A Tool for 3D Visualizing Moving Objects, APWeb/WAIM, 2017, Demo, pages 353-357 (won the best demo paper, CCF C).
[6] J. Xu, R.H. Güting and X. Qin. GMOBench: Benchmarking Generic Moving Objects, Geoinformatica, 19:2, Page 227-276, 2015 (an extension of the paper in ACM SIGSPATIAL 2012). (CCF B类，SCI)
[7] J. Xu and R.H. Güting. Querying Visible Points in Large Obstructed Space, Geoinformatica, 19:3, Page 435-461, 2015. (CCF B类，SCI)
[8] J. Xu, R.H. Güting and Y. Zheng. The TM-RTree: An Index on Generic Moving Objects for Range Queriese, Geoinformatica, 19:3, Page 487-524, 2015. (CCF B类，SCI)
[9] J. Xu and R.H. Güting. A Generic Data Model for Moving Objects, Geoinformatica, 17:1, page 125-172, Springer, 2013. (CCF B类，SCI)
[10] J. Xu and R.H. Güting. GMOBench: A Benchmark for Generic Moving Objects, short paper, ACM SIGSPATIAL, 410-413, 2012.
[11] J. Xu and R.H. Güting. Manage and Query Generic Moving Objects in SECONDO, Demo, PVLDB 5(12):2002-2005, 2012. (CCF A类)
[12] J. Xu and R.H. Güting. MWGen: A Mini World Generator, 13th International Conference on Mobile Data Management (IEEE MDM), pages 258-267, 2012. (CCF C类)
[13] J. Xu and R.H. Güting. Infrastructures for Research on Multimodal Moving Objects, 12th International Conference on Mobile Data Management (IEEE MDM), Demo, pages 329-332, 2011. (CCF C类)
[14] R.H. Güting, T. Behr, and J. Xu. Efficient k-Nearest Neighbor Search on Moving Object Trajectories, The VLDB Journal 19:5, 687-714, 2010. (CCF A类，SCI)
指导学生发表论文：
[1]梁?秀，许建秋，秦小麟，K近邻近似模式匹配查询， 小型微型计算机，已录用。
[2]黄火荣，许建秋，秦小麟，轨迹数据的连续距离查询技术，小型微型计算机，11（38），2505-2510，2017。
承担的科研项目情况：
国家自然科学基金青年基金
江苏省青年基金
教育部回国留学人员启动基金