Laura M. Haas
Laura Myers Haas | |
|---|---|
| Nationality | American |
| Alma mater | University of Texas at Austin Harvard University |
| Known for | Database systems and Information integration |
| Awards | E. F. Codd Award (2015) ACM Fellow (2006) National Academy of Engineering (2010) IBM Fellow (2009) |
| Scientific career | |
| Fields | Computer Science |
| Institutions | IBM Research |
| Doctoral advisor | K. Mani Chandy and Jayadev Misra |
Laura M. Haas is an American computer scientist noted for her research in database systems and information integration. She is best known for creating systems and tools for the integration of heterogeneous data from diverse sources, including federated technology that virtualizes access to data, and mapping technology that enables non-programmers to specify how data should be integrated.
Laura Haas’s work dramatically changed the research and practice of information integration. She led the Starburst project on extensible database systems, showing how diverse information could be integrated into a relational database.[1] Her research was the foundation for IBM's DB2 LUW query processor. She was the overall architect for Garlic,[2] a novel data federation system that provides integrated access to many data sources from a high-level nonprocedural language, and personally invented and implemented query optimization techniques that allowed Garlic to process queries efficiently, exploiting the capabilities of the underlying data sources.[3] Haas led the development of IBM InfoSphere Federation Server based on this technology, and was the technical lead of the IBM team which helped establish the enterprise information integration market. Laura also led the Clio project, inventing the concept and basic algorithms for schema mapping, and embodying them in the first tool to compute necessary transformations to bring data from diverse sources into a common format automatically.[4] She continues to provide thought leadership[5] and to pursue new research around information integration, most recently in the context of Big Data, through her role as the Director of IBM Research’s Accelerated Discovery Lab.[6]
Biography
Laura Myers Haas received a A.B. in Applied Mathematics and Computer Science from Harvard University in 1978. She received a Ph.D in Computer Science from the University of Texas at Austin in 1981. In 1981, Haas began as a research staff member at IBM Almaden Research Center, and has spent her career at IBM Research (with a one-year visiting fellow position at University of Wisconsin in 1992-1993). She has held numerous positions within IBM Research, currently serving as IBM Fellow and Director of IBM Research Accelerated Discovery Lab.
Awards
In 2006, Haas was named an ACM Fellow "for research leadership, and contributions to federated database systems".[7]
In 2010, she was elected to the National Academy of Engineering "for innovations in the design and implementation of systems for information integration".[8]
In 2010, Haas received the ABIE Technical Leadership Award at the Grace Hopper Celebration of Women in Computing.[9]
In 2015 she became the winner of the SIGMOD Edgar F. Codd Innovations Award.[10]
References
- ^ Haas, Lohman, Freytag, Pirahesh (1989). "Extensible Query Processing in Starburst". ACM SIGMOD. 18: 377–388. doi:10.1145/66926.66962.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Haas, Lin, Roth (2002). "Data Integration through Database Federation". IBM Systems Journal. 41 (4): 578–596. doi:10.1147/sj.414.0578.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Haas, Kossmann, Wimmers, Yang (1997). "Optimizing Queries across Diverse Data Sources". VLDB.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Miller, Haas, Hernandez (2000). "Schema Mapping as Query Discovery". VLDB.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Haas (2007). "Beauty & the Beast: the Theory & Practice of Information Integration". ICDT.
- ^ Haas, Cefkin, Kieliszewski, Plouffe, Roth (2014). "The IBM Research Accelerated Discovery Lab". ICDT. 43 (2): 41–48. doi:10.1145/2694413.2694423.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Association for Computing Machinery (2006-12-01). "Laura M. Haas – Award Winner". Association for Computing Machinery. Retrieved 2015-05-26.
- ^ National Academy of Engineering (2010). "NAE Website – Dr. Laura M. Haas". National Academy of Engineering. Retrieved 2015-05-26.
- ^ Anita Borg Institute. "Anita Borg Institute - Laura Haas". gracehopper.org. Retrieved 2015-05-26.
- ^ Dr. Laura Haas is the recipient of the 2015 SIGMOD Edgar F. Codd Innovation Award, SIGMOD, retrieved 2015-06-21.
External links
- IBM Profile: Laura Haas: [1]