Rui Mao Ph.D., Distinguished Professor, Shenzhen University
	National Engineering Laboratory for Big Data System Computing Technology Vice Director Guangdong Provincial Key Laboratory of Popular High Performance Computers Director Guangdong Provincial Engineering Center of China-made High Performance Data Computing System Director Shenzhen Key Laboratory of Service Computing and Applications Director http://nhpcc.szu.edu.cn/mao/eng, mao AT szu.edu.cn, +86 (755) 2653 4207 504, Zhizhen Building, South Campus, Shenzhen University, Baishi Road, Nanshan District, Shenzhen, Guangdong, 518060, China Shenzhen Institute of Computing Sciences Executive Director http://www.sics.ac.cn/mao, mao AT sics.ac.cn, +86 (755) 2107 8687 901, Building 26, 6979 Park, Minbao Road, Longhua District, Shenzhen, Guangdong, China

Research area

For prospective students and postdocs

Awards/Titles (selected)

• 2022 Second Level National Teaching Award
• 2021 First Level Teaching Award of Guangdong Province
• 2016 Second Level Military Science and Technology Award.
• 2014 Second Level Science and Technology Award by the Ministry of Education: Personal high performance computer systems based on Loongson CPU.
• High-Level Professional in Shenzhen (Local-Level Talent), 2019-2023
• Overseas High-Caliber Personnel in Shenzhen (Level C), 2015-2020

Research Projects (selected)

• PI: "Big data genhierarchy and its effectiveness", National Key R&D Program of China:2018YFB1003201, 06/2018 ~ 05/2021
• Co-PI: "A parallel processing system for in-memory computing", China 863 project: 2015AA015305, 01/2015 ~ 12/2017
• Co-PI: "Research and development of high productivity computing applicational software framework", China 863 project: 2012AA01A309, 01/2012 ~ 12/2015
• PI: "Metric space indexing based on the pivot space model", NSF-China: 61170076, 01/2012 ~ 12/2015

Teaching & courses at Shenzhen University

• Special Class on High Performance Computing
• Computational thinking
• General purpose indexing for similarity queries and applications (graduate and undergraduate)
• Discrete mathematics
• Advanced Office applications

Working/Education Experience

• Shenzhen University
  • Vice Dean (2015.01 - 2023.06)
  • Distinguished Professor (2022 - present)
  • Professor (2017 - 2022)
  • Associate Professor (2010 - 2016)
• Shenzhen Institute of Computing Sciences
  • Executive Director (2019 - present)
• Oracle USA corporation, Senior Member of Technical Staff(2007 - 2010)
  
  • Member of the Streams/GoldenGate group, projects: (1)Automatic split/merge of Streams; (2)XStream JAVA Interface caching; (3)Data comparison

• The University of Texas at Austin(2001 - 2007)
  
  • Ph.D. in Computer Science(2007), Master in Statistics(2006), Master in Computer Science(2003)
  • Ph.D. dissertation: Distance-based indexing and its applications in bioinformatics; Supervisor: Dr. Daniel Miranker
  • Team leader: Molecular Biological Information System (MoBIoS), a next generation DBMS aiming at biological applications

• University of Science and Technology of China(1992 - 2000)
  
  • Master in Computer Application(2000, Advisor: Prof. Liusheng Huang), Bachelor in Computer Science(1997)
  • Member of the National High Performance Computing Center (NHPCC) at Hefei; Team leader (student) of 2 Key Projects of the National 863 High Tech. Program, China:
    • The Anti-Disaster Intelligent Information and Decision Support System of Anhui Province: Second Level National Science and Technology Development Award of China, 2001; Second Level Award of the Chinese Academy of Sciences, 2000
    • The Intelligent Flood-Control & Anti-Pollution Scheduling System of Huaihe River

Academic services (selected)

• Distinguished Member, China Computer Federation
• Chair, Shenzhen Chapter
• Executive Member, Expert Committee on Big Data
• Executive Member, Technical Committee on Database
• Executive Member(2018-2023), Technical Committee on Theoretical Computer Science
• Member, Technical Committee on High Performance Computing
• Chair(2016-2017), CCF YOCSEF (Young Computer Scientists & Engineers Forum, China Computer Federation) Shenzhen
• Vice Chair, Shenzhen City Computer Federation
• Chair, Technical Committee on Cloud Computing, Guangdong Computer Federation
• Member, Academic Committee of the Sichuan Key Laboratory of Network and Data Security

• Program Committee Co-Chair, The 10th CCF BIG DATA Conference (CCF BigData 2022)
• Program Committee Vice Co-Chair, The 5th CCF BIG DATA Conference (CCF BigData 2017)
• Program Committee Co-Chair, The 33rd National Database Conference of China (NDBC2016)
• Co-Chair, Steering Committee of the 7th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP 2015)
• Conference Program Committee: VLDB2019, AAAI2019, ICDE2019, ICDE2018, ......

Intellectual Property Rights(selected)

1. Patent: A modeling method and system for location-based top-k key selection in sliding window, No.: ZL201710864295.0
2. Patent: A priority query algorithm and system for location-based top-k key selection in sliding window, No.: ZL201710864389.8
3. Patent: An indexing system for location-based top-k key selection in sliding window, No.: ZL201710864358.2
4. Patent: A pivot set selection method and device, No.: ZL201610982377.0
5. Patent: Pivot selection method and device in metric spaces, No.: ZL201610987363.8
6. Patent: Spatial crowdsourcing task assignment method and system with partial homomorphic encryption, No.: ZL201710533442.6
7. Patent: Pivot-wise data partitioning method in metric space, No.: ZL201410472953.8
8. Patent: Indexing and retrieval for arbitrary field of massive URL data, No.: ZL201310554903.X

Selected Publications in Metric-space Data Processing

1. Guoliang Chen, Rui Mao*, Kezhong Lu, A parallel computing framework for big data. Frontiers of Computer Science, 2017, 11(4): 608-621.
2. Guoliang Chen, Rui Mao, Kezhong Lu, Hao Liao, Mingyang Zhou, Gang Liu, and Lian Li. Theoretical foundations of big data computing - parallel and interactive computing. Higher Education Press, 2017.10
3. Rui Mao, Peihan Zhang, Xingliang Li, Xi Liu, Minhua Lu. Pivot selection for metric-space indexing, International Journal of Machine Learning and Cybernetics, 2016, 7 (2): 311-323.
4. Guoliang Chen, Rui Mao* and Kezhong Lu. Parallel computing framework for big data. Chinese science bulletin, 2015, 60(5/6): 566-569. (Cover story)
5. Rui Mao, Honglong Xu, Wenbo Wu, Jianqiang Li, Yan Li, and Minhua Lu. Overcoming the Challenge of Variety: Big Data Abstraction, the Next Evolution of Data Management for AAL Communication Systems. IEEE Communications Magazine, 2015, 53 (1), 42-47.
6. Rui Mao, Sheng Liu, Honglong Xu, Dian Zhang and Daniel P. Miranker, On Data Partitioning in Tree Structure Metric-Space Indexes, in the Proceedings of The 19th International Conference on Database Systems for Advanced Applications (DASFAA2014), pages 141-155, April 21-24, 2014, Bali, Indonesia.
7. Rui Mao, Willard L. Miranker and Daniel P. Miranker, Pivot Selection: Dimension Reduction for Distance-Based Indexing, Journal of Discrete Algorithms, Elsevier, Volume 13, May 2012, Pages 32-46.
8. Rui Mao, Willard L. Miranker and Daniel P. Miranker, Dimension Reduction for Distance-Based Indexing, in the Proceedings of the Third International Conference on SImilarity Search and APplications (SISAP2010), pages 25-32, Istanbul, Turkey, September 18-19, 2010. (Best Paper)
9. Rui Mao, Weijia Xu, Neha Singh and Daniel P. Miranker. An Assessment of a Metric Space Database Index to Support Sequence Homology. In the Proceedings of the 3rd IEEE International Symposium on BioInformatics and BioEngineering (BIBE2003), pages 375-382, March 10-12, 2003, Bethesda, MD, USA. (One of the Best Papers)

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*The corresponding author

UMAD (Universal Management and Analysis of Data)

• UMAD project and data sets