Inria Rennes - Bretagne Atlantique Research Center

About

I am an Inria research scientist within the Stack team, working on Scalable Big data management and Storage systems. I was a PhD. student working with Prof. Hai Jin in the Services Computing Technology and System Laboratory (SCTS) at Huazhong University of Science & Technology (HUST). From November 2011 to September 2013, I was a Post-Doc researcher within the KerData team working on scalable Big Data managements on clouds. Since October 2013, I was hired as a permanent research scientist at Inria. I have several years of experience with academic research at HUST, Inria research center and Microsoft research center in Asia.

I regularly serve as a Program committee member for international conferences in cloud, HPC and parallel and distributed systems (ACM/IEEE SC, IEEE ICDCS, IEEE ICPP, IEEE Cluster, ACM/IEEE CCGrid). Moreover, I have served as Program co-chair for the 2019 IEEE BigDataSE conference, 2019 SmartDara conference, 2018 IEEE International Congress on Big Data, the CEBDA 2018 Workshop, the 2017 ICA3PP conference, and the 2017 EBDMA Workshop; as Program vice-chair of the ACM/IEEE CCGrid 2020, as a Track co-chair for HPC-Asia 2020, CCGrid 2019, and EIDWT-2018; as a Workshop co-chair for ICDCS 2020 and the 2014 ScalCom conference; and as a PhD Consortium co-chair for the 2014 CloudCom conference.

My current research interests are in Big data management, Data-Intensive computing, HPC, cloud and Edge computing, virtualization technology, and file and storage systems. My papers are published in prestigious international journals (such as IEEE TPDS, IEEE TBD, ACM ToPC, ACM TOMPECS and FGCS) and proceedings (such as ACM/IEEE SuperComputing, IEEE ICDCS, IEEE IPDPS, IEEE ICPP, IEEE Mascots, IEEE Cluster, and ACM/IEEE CCGrid).I am currently leading the ANR KerStream project, the Apollo connect talent project; and the Hermes associated team between Inria and Lawrence Berkeley National Lab (LBNL).


Open Positions

I am looking for highly motivated Master students and Post-docs to work on Big data management/System research for Spring and Fall 2020. Please feel free to email me your resume.


Service (current)


Recent Highlight


Adapted from a template by FreeHTML5.co