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Expert (pronounced sree-vaas-tha-vaa, pronounced jay-theep) has devoted a large portion of his career to investigating the application of database technology to various domains. He has developed new database technologies based on the needs of emerging applications. This has resulted in new outcomes in parallel database, active databases, and database integration.

Expert maintains that one of the major findings of business process re-engineering has been that data is central to an organization, while processes keep evolving around it. His work in data integration has developed techniques to provide a standard (SQL-based) view of data, which enables users to access data from various sources in a uniform manner. Structural and semantic mismatches of data are automatically handled, while pre-existing applications continue to run un-interrupted. Also, this approach requires no changes to existing databases or applications.

Expert has experience developing and using multimedia systems and software. His research group has developed a number of techniques for multimedia databases, operating systems, and user interfaces.

With five years of experience in client/server computing, Expert is especially knowledgeable of architecture and algorithm design, functionality partitioning, performance tuning and optimization, and server design and implementation.

In the past four years, Expert has developed techniques for building high-performance database servers that use commercial parallel processors and RAID disks.

Expert has extensive experience with expert systems. He is an authority on research concerning artificial intelligence and database integration. He has a mastery of LISP, PROLOG, and OPS5, which he uses in the course of working with expert systems.

Expert has a high degree of expertise with relational databases. He is researching efficient ways of translation and models of integration. He is very familiar with common knowledge models, DAPLEX, and CLOS. Expert is investigating ways that would satisfy the need to integrate large artificial intelligence knowledge bases that are derived from different sources. He has over 20 years of experience in relational database management systems, including research, teaching, training, and consulting.

With his experience in leading the development of Web based software, Expert has significant experience in client-server computing.

Expert is one of the acknowledged thought leaders in the rapidly expanding area of data mining. At Amazon.com, Yodlee, and the Employer he has led a number of groups that have carried out original research, developed products, and operated web-based services based on data mining. He is considered as one of the founders of the rapidly emerging area of Web mining. As a recognition of his stature, SAS - the world's leading data mining company - appointed him as the Conference Chair for their annual data mining conference in 2003.

Expert has many years of experience with distributed processing, having developed techniques and software for distributed databases and distributed multimedia systems.

His experience at Amazon.com has given Expert an invaluable ringside look at the way various aspects of an electronic business and e-tailing work. (Amazon.com is the world's largest e-tailer.) He has used this experience in teaching classes in the engineering and business schools, as well in his consulting assignments.

Expert has over 22 years of experience with various aspects of information technology.

Over five years of research, and two years of actual work experience with Internet companies, has provided Expert with detailed experience.

Amazon.com uses Internet advertising very effectively. As head of Amazon.com's data mining group, Expert has a close association with this area. He is presently providing strategic advice to a startup company in this area.

Personalization and Internet marketing are areas in which Amazon.com is the undisputed leader. Data mining is the key technology that makes all of this happen. As a thought leader in data mining, and with business experience from Amazon.com, Expert is a clear leader in this area.

Databases, data mining, and Web technologies form the core of knowledge management. Expert has leadership and experience in all of these.

Expert has lead Air Force- and Honeywell-funded projects in developing the techniques for, as well as major distributed software for multimedia computing systems for command and control applications.

Expert has over six years of experience in World Wide Web applications, technologies, and systems, including research, teaching, training, and consulting.