2008年清华大学信息技术研究院系列学术报告5

David Belanger is currently the AT&T Labs Chief Scientist, and the Vice President of Information & Software Systems Research at AT&T Labs in Florham Park, NJ.  As Chief Scientist, he is responsible to the AT&T Labs President for: identifying pre-product technology important to the future of AT&T, evaluating technology, building alignment within AT&T on technology directions, and serving as AT&T liaison to external technical communities, specifically universities, government agencies and industrial laboratories.  The Information & Software Systems Research Lab conducts research in: large scale and real time information mining related to operations of a (communications) service business; interactive, information visualization; scaleable, dependable software systems; and new, information based, communications services. It is also responsible for delivery and operations of very large scale (e.g. >400TB) near real time service management capabilities to AT&T and its customers, as well as a wide variety of analytic and information mining services.

Dave joined AT&T Bell Laboratories in 1979 working in the area of database support for economic analysis for product lifecycles. This was followed by research on large scale data and information systems, and program generation for data manipulation systems. He has subsequently led research efforts in software systems and engineering, and information mining, and visualization.

Prior to joining AT&T, Dave was on the Mathematics and Computer Science Faculty at University of South Alabama, a consultant for a variety of organizations, and co-founder/VP of Gulf Coast Data Systems (a computing services company). He received his B. S. from Union College (NY) in Mathematics, and an M. S. and Ph.D., also in Mathematics, from Case Western Reserve University.

In 1998, Dave was awarded the AT&T Science and Technology Medal for his contributions in very large scale information mining technology.  In 2006, he was named an AT&T Fellow for “lifetime contributions in software, software tools, and information mining”.

Senior member, Institute of Electrical and Electronic Engineers (IEEE)

Information Technology Association of America (ITAA) Board of Directors – 2004 -

Abstract

This talk will contain an overview of AT&T Shannon Labs (the Research arm of AT&T Labs), and a more detailed discussion of our work in Information Mining and Software Research.

Over the past 10 years, AT&T Labs has had a focused program in information mining at very large scale.  This has included inventing many tools & techniques, building quite a few applications, and collecting a few petabytes of data.  It also has included learning about what is useful, and not so useful, possible and not so possible, and what directions we should be taking.  Emphasis has been on near real-time mining; therefore on data streams, analysis within windows of data, and interactive visualization with record and playback.

This talk will review some of the tools, techniques, learnings and challenges of this research program thus far.