Mailing
Address: Hamid Pirahesh, IBMAlmaden Research Center
(K55/801) 650 Harry Road, San Jose, CA 95120-6099,
USA
Hamid Pirahesh, Ph.D., is an IBM
fellow and the manager of DataBase Technology Institute
(DBTI) at IBM Almaden Research Center in San Jose, California. Pirahesh is an
IBM master inventor, and is a member of IBM Academy. He also has direct
responsibilities in various aspects of IBM DB2 UDB product, including
architecture, design and development. He is a senior manager responsible for the exploratory database research department at IBM Almaden Research Center areas.
Research
Interests:Active in various aspects of
database management, from research to product delivery. Areas of interest
includes business intelligence and internet and other areas in e-business and
e-commerce. More specific areas include query optimization for complex query
processing, OLAP cubes, complex data analysis, XML and web oriented database systems
(XML, B2B and B2C), Information Integration Systems.
Publications:Mybibliography
Biodata:
Hamid Pirahesh, Ph.D., is
an IBM
fellow and a senior manager responsible for the exploratory database department at IBM Almaden Research Center in San Jose, California. He is also the manager of DataBase Technology Institute (DBTI) at IBM research. He has direct responsibilities in various aspects of IBM DB2 product, including architecture, design and development. He received his Ph.D. from the University of California at Los Angeles in the area of database systems. He is an IBM master inventor and a member of IBM Academy. He is also an associate editor of ACM Computing Surveys and has served on program committee of major computer conferences. He was a principle member of the original team that designed the query processing architecture of the IBM DB2 UDB relational DBMS and delivered the product to the marketplace. He has made major contributions to query language industry standards. His work on query optimization using aggregate data caching has resulted in dramatic performance improvement. This feature is
now considered to be an essential for processing of complex data analysis and OLAP queries in large databases. His research areas include OLAP and aggregate data management, query optimization, data warehousing, Web services, management of semi-structured and unstructured XML data, Information integration in web based federated and distributed systems. He also serves as a consultant to various IBM product divisions, including the software division and IBM Global Services.
Last updated: 2003
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