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36 Eagle Row, #589
Atlanta, GA 30322, USA
Email: fusheng  wang  emory edu
Phone: 404-712-0057
Fax: 404-727-4992
- Biomedical Imaging Informatics
- High Performance Data Management
- Heterogeneous Data Management and Integration
- Spatial and Temporal Data Management
- RFID Data Management and Processing, and Pervasive Healthcare
- Collaborative Information Systems
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Dr. Fusheng Wang is an assistant Professor at Department of Biomedical Informatics, and a senior research scientist at Center for Comprehensive Informatics, Emory University. He is also an adjunct faculty member of Department of Mathematics and Computer Science at Emory University. He received his Ph.D. in Computer Science from University of California, Los Angeles in 2004, and his M.S. and B.S. in Engineering Physics from Tsinghua University, China, in 1997 and 1994 respectively. Prior to joining Emory University, he was a research scientist at Siemens Corporate Research from 2004-2009. His research interests include Biomedical Imaging Informatics, High Performance Data Management, Heterogeneous Data Management and Integration, Spatial and Temporal Data Management, RFID Data Management and Processing, Pervasive Healthcare, and Data Standardization. He is a senior member of the International Society for Optics and Photonics (SPIE) for achievements in data management, integration and standardization for medical images and radio frequency identification (RFID) technology.
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The Fourth International workshop on Cloud Data Management (CloudDB 2012) will bring together researchers and practitioners in cloud computing and data-intensive system design, programming, parallel algorithms, data management, scientific applications, and information-based applications to maximize performance, minimize cost and improve the scale of their endeavours.
Our paper on building hybrid CPU-GPU based solution for spatially cross-matching of pathology image data is accepted to the Very Large Data Base Conference (VLDB'2012).
The work is in collaboration with Ohio State University.
The Extremely Large Databases (XLDB) series of conferences/workshops (xldb.org) have been held successfully with the leadership of Jacek Becla in recent years. The first XLDB satellite conference in Asia (XLDB Asia) will be held at Beijing, China on June 22-23, 2012.
This conference will bring together people with highly demanding data challenges, and researchers and solution providers who are developing systems to address such challenges.
The conference will facilitate discussions on:
The state of the art data handling technologies on extremely large datasets;
Practical use cases of current and anticipated data challenges;
Lessons and innovations on building extremely large databases;
Trends and strategies for surmounting current hurdles.
The conference will provide a meeting place for database researchers, for businesses with advanced solutions, and for people from many research disciplines, industries and organizations who need to urgently address real data challenges.
We have been selected to receive an Amazon AWS in Education research grant (two years).
Dr. Wang was elected by the Society of Photographic Instrumentation Engineers (SPIE) Board of Directors and the Membership Committee to the grade of Senior Member, among 28 new senior members honored this year from 16,000 members, for his achievements in data management, integration and standardization for medical images and RFID. SPIE Senior Members are Members of distinction who are honored for their professional experience, their active involvement with the optics community and SPIE, and/or significant performance that sets them apart from their peers. See list of 2011 SPIE Senior Members.
We have been selected to receive an Amazon AWS in Education research grant (two years).
Dr. Wang was elected by the Society of Photographic Instrumentation Engineers (SPIE) Board of Directors and the Membership Committee to the grade of Senior Member, among 28 new senior members honored this year from 16,000 members, for his achievements in data management, integration and standardization for medical images and RFID. SPIE Senior Members are Members of distinction who are honored for their professional experience, their active involvement with the optics community and SPIE, and/or significant performance that sets them apart from their peers. See list of 2011 SPIE Senior Members.
MapReduce has become a standard software framework for big data analytics in distributed systems, where system execution of SQL queries is a critical data processing task. An SQL-to-MapReduce translator automatically converts database queries to MapReduce jobs for their execution in distributed systems. Complex SQL query jobs generated by existing translators, such as the one in data warehouse Hive developed in Facebook, and in MapReduce programming environment of Pig developed by Yahoo!, are executed at unacceptable slow speed. The authors of the paper demonstrate that the poor performance of these translators is caused by the framework of one-operation-to-one-job mapping, which does not consider correlations of input data and input keys among the queries. The authors design and implement a correlation-aware SQL-to-MapReduce translator, called YSmart. The translator achieves superior performance compared with the existing translators in Hive and Pig. The translator has been patched in Hive for an adoption, and an independent version of YSmart will be released for public usage.
ICDCS is an annual conference providing a forum for engineers and scientists in academia, industry and government to present their latest research findings in many aspects of distributed and parallel computing. The annual conference this year was held in Minneapolis, Minnesota, June 21-24, 2011.
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