未来教育高精尖创新中心

北京师范大学未来教育高精尖创新中心首席数据科学家卢宇博士


卢宇   博士

研究领域
/方向

大数据分析、学习分析、普适计算、机器学习

教育背景 
本科— 北京航空航天大学
硕士—北京航空航天大学
博士—新加坡国立大学


工作经历

自2014年至2016年期间任职于新加坡科研局(A*STAR)资讯通信研究院(I2R),担任研究员 (research scientist) 及项目负责人。自2012年起,在新加坡及法国多家科研机构与公司从事数据分析研究与系统开发工作。
 
 
科研项目(National-Level)
新加坡交通部Land Transport Innovation Fund(项目联合负责人)
新加坡教育部 Academic Research Fund Tier-2 Grant (项目组主要成员)
 
 
近期学术成果(2015-2016
1) Book Chapter:
Yu Lu, “Enabling User Context Utilization in the Internet Communication Protocols: Motivation, Architecture and Examples,” Beyond the Internet of Things: Everything Interconnected, Springer, 2016.

2) Journal Paper
Yu Lu, Motani Mehul and W. C. Wong, “A QoE-Aware Resource Distribution Framework Incentivizing Context Sharing and Moderate Competition,” IEEE/ACM Transactions on Networking, vol. 24, no.3, pp. 1364-1377, 2016. (CCF Class A, IF = 1.986)

3) Conference Paper 
Yu Lu, Gim Guan Chua, Huayu Wu, Clement Ong Shi Qi, “An Intelligent System for Taxi Service Monitoring, Analytics and Visualization,” International Joint Conference on Artificial Intelligence (IJCAI), New York, NY, 2016. (CCF Class A)
 
Dheeraj Kumar, Huayu Wu, Yu Lu, Shonali Krishnaswamy, Marimuthu Palaniswami, “Understanding Urban Mobility via Taxi Trip Clustering,” IEEE International Conference on Mobile Data Management (MDM), Porto, Portugal, 2016. (CCF Class C)
 
Yu Lu, Shili Xiang and Wei Wu, "Taxi Queue, Passenger Queue or No Queue? - A Queue Detection and Analysis System using Taxi State Transition," International Conference on Extending Database Technology (EDBT), Belgium, 2015. (CCF Class B)
 
Tadashi Okoshi, Yu Lu, Chetna Vig, Youngki Lee, Rajesh Krishna Balan and Archan Misra “QueueVadis: Queuing Detection and Analytics using Smartphones,” International Conference on Information Processing in Sensor Networks (IPSN), Seattle, WA, 2015. (CCF Class B)
 
Yu Lu, Wei Wu, Shili Xiang, Huayu Wu, "A Queue Analytics System for Taxi Service Using Mobile Crowd Sensing," in Adjunct Proceedings of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Osaka, Japan, 2015. (CCF Class A)
 
 
学术活动:
担任多个国际会议PC member 及国际期刊审稿人
在大数据分析与学习分析领域多次做受邀报告
 
 
 
 
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  • 电 话:(010)58805590
  • 邮 箱:gaojingjian@bnu.edu.cn

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