凯 郑

Professor @ University of Electronic Science and Technology of China

About

Dr. Kai Zheng is a full professor with University of Electronic Science and Technology of China (UESTC). He received Ph.D. (in 2012), Master (in 2009) and Bachelor (in 2006) degrees of Computer Science from The University of Queensland (UQ) (advised by Prof Xiaofang Zhou), Fudan University (advised by Prof Aoying Zhou) and Tongji University, respectively. Before joining UESTC, he has worked as Research Fellow (2012 - 2013) and ARC DECRA (Australian Research Council Discovery Early Career Research Award) Fellow (2014 - 2016) with the Data and Knowledge Engineering Group of UQ. His research interests and expertise cover the full stack of data management technologies including data storage, clearning, indexing and search, as well as many other challenging data intensive problems. He received a few best paper awards on international conferences including ICDE 2019 and 2015, APWeb-Waim 2017, WISE 2017. He served the General co-Chair of DASFAA 2017, Program co-Chair of APWeb 2016, and Program Committee for over 20 top-tier conferences including SIGMOD, PVLDB, ICDE, KDD, IJCAI, AAAI, WWW, etc. He is the editor of the Journal of Distributed and Parallel Databases (DPD) and the journal of Data & Knowledge Engineering (DKE), the guest editor for the Journal of WWW, Geoinformatica and Frontier of Computer Science. He has published over 140 peer-reviewed papers in top-tier conferences and journals in the area of Big Data Management. He is an IEEE senior member. He is a member of database committee and ubiquitous computing committee of China Computer Federation (CCF), and a member of intelligent service committee of Chinese Association for Artificial Intelligence (CAAI).

Country

China

City

Chengdu

Industry

Research

Skill

Machine Learning, Data Mining, Algorithms, Computer Science, Hadoop, Python, Pattern Recognition, LaTeX, R, Artificial Intelligence, C++, Programming, Distributed Systems, Perl, C, Information Retrieval, Image Processing, Computer Vision, Databases

Experience

University of Electronic Science and Technology of China

Professor

University of Electronic Science and Technology of China

LinkedIn
2017-7 - Present · 9 yrs 3 mos

Chengdu, Sichuan, China

The University of Queensland

Research Fellow

The University of Queensland

LinkedIn
2012-2 - 2016-6 · 4 yrs 5 mos

Brisbane, Australia

My job is to architect, design and develop efficient solutions to manage and analyze large-scale, complex, heterogeneous and dynamic data to help government, business and individuals understand the enormous knowledge inside their databases.

The University of Queensland

PhD Candidate

The University of Queensland

LinkedIn
2009-2 - 2012-1 · 3 yrs

Brisbane, Australia

Microsoft

Visiting Scholar

Microsoft

LinkedIn
2011-8 - 2011-11 · 4 mos

Beijing, China

Microsoft Research Asia

Visiting Scholar

Microsoft Research Asia

2010-8 - 2010-11 · 4 mos

Beijing, China

Microsoft

Software Developer Engineer

Microsoft

LinkedIn
2005-7 - 2006-6 · 1 yr

Shanghai, China

Member of development team for Window Live product

Education

The University of Queensland

The University of Queensland

LinkedIn

Computer Science

2009 - 2012 · 3 yrs
Fudan University

Fudan University

LinkedIn

Computer Science

2006 - 2009 · 3 yrs
Tongji University

Tongji University

LinkedIn

Computer Science

2002 - 2006 · 4 yrs

's Contact Information

Email

******@***.com

Phone

(**) *** ****

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