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Co-Chairs |
Tom Mitchell, Carnegie Mellon University
Raghu Ramakrishnan, University of Wisconsin, Madison
Andreas Weigend, Amazon.com
Lotfi A. Zadeh, University of California
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Session Speakers
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| (This is only a partial list as speakers are currently being finalized. Please visit again soon.) | ||
David Banks is a professor in the Department
of Statistics at Duke University. Before that, he worked at the U.S. Food
and Drug Administration, the Department of Transportation, the National
Institute of Standards and Technology, and Carnegie Mellon University. He
is president of the ASA Section on Risk Analysis, past-president of the
Classification Society of North America, and an editor of the update
volumes of the Encyclopedia of Statistical Sciences. His research
interests include data mining (especially as it relates to multivariate
regression and cluster analysis), graph-valued random variables, key
comparisons, and risk analysis.
Joe Bartling is the Director of Enterprise Analysis at H&R Block. Joe's group is responsible for enterprise wide 
Client Value Measurement, Client Segmentation, and Media Testing. In
addition, his group conducts modeling and analysis activities in support of
H&R Block's Financial Advisor and Mortgage businesses.
Prior to joining H&R Block Joe was at Hallmark Cards Inc. where he managed the database analysis activities for Hallmark's Gold Crown Card program, one of the largest loyalty programs in America. In conjunction with the Kansas City SAS office Joe has organized a local Data Mining Users group. Joe has a BS in Statistics with minors in Mathematics and Watershed Science from Colorado State University, and a MA in Economics from the University of Missouri at Kansas City. Dr. Robert Berry serves as the President and CEO of the Central Michigan University Research Corporation, and as the Chief Technology Officer at Central Michigan University. He is a faculty member in the Management Information Systems Department, College of Business Administration, where he is active in teaching in the MBA program. 
Dr. Berry has been involved in the technology field for 26 years and has been active in the formation of new companies and consortiums to advance the use of technology and research in education. Dr. Berry received his doctorate from Northern Arizona University, where he served as a faculty member and was Assistant Director of Research. Dr. Berry is the chief architect in the development of the Central Michigan University Research Corporation (CMURC). The CMURC focuses its efforts in two key areas, nanoscale research where it has been named a U.S. Army Labs National Center of Excellence in Dendritic Nanoscale Research, and in the area of predictive business intelligence. The CMURC has performed a diverse range of projects for many major corporations focused on a variety of advanced business intelligence applications, such as
Dr. Tom Bohannon is Assistant Vice President and Director of Information Management and Testing at Baylor University, where he engages in continuing research in all pertinent aspects of Baylor University provides complete testing services for Baylor students and the public. His primary interests are in Statistics, Data Warehousing and Data Mining, Institutional Research and Computer Application, SAS Training and Applications, Microcomputer Training Applications. Prior to his current position, Dr. Bohannon was Director of the Office of Institutional Research at Appalachian State University in Boone, North Carolina. He was also an Associate Professor In Mathematical Science. Dr. Bohannon has served in leadership positions in several professional organizations - AIR, SAIR, NCAIR, and TAIR and has presented papers and workshops at the following professional associations for over 20 years - AIR, SAIR, NCAIR, TAIR, ASA, SUGI, and others. Dr. Hamparsum ("Ham") Bozdogan is Toby and Brenda McKenzie Professor in Business, Information Complexity and in Model Selection in the Department of Statistics, College of Business Administration at the University of Tennessee (UT), Knoxville, Tennessee. Dr. Bozdogan received his B.S. degree in Mathematics, 1970 from the University of Wisconsin-Madison, and both of his M.S. and Ph.D. degrees in Mathematics, 1978 and 1981, respectively, from the University of Illinois at Chicago majoring in Probability and Statistics (Multivariate Statistical Analysis and Model Selection) with a full-minor in Operations Research. He joined the faculty of UT in the Fall of 1990. Prior to coming to UT he was on the faculty of the University of Virginia in the Department of Mathematics, an was a Visiting Associate Professor and Research Fellow at the prestigious "Akaike's Institute," The Institute of Statistical Mathematics in Tokyo, Japan during 1988. 
Ham is a nationally and internationally recognized renowned expert in the area of informational statistical modeling and model selection. In particular, on the celebrated Akaike's (1971) Information Criterion (AIC), he has extended its range of applications broadly, and has identified and repaired its lack of consistency with a new criterion of his own which is now being used in many statistical software packages including SAS. Dr. Bozdogan is the developer of a new model selection and validation criterion called ICOMP (ICOMP for 'information complexity'). His new criterion for model selection cleverly seeks, through information theoretic ideas, to find a balance among badness of fit, lack of parsimony, and profusion of complexity. This measures the "statistical chaos" in the model for a given complex data structure. From this basic work, he has undertaken the technical and computational implementation of the criterion to many areas of applications. These include: choosing the number of component clusters in mixture-model cluster analysis, determining the number for factors in frequentist and Bayesian factor analysis, dynamic econometric modeling of food consumption and demand in the U.S. and the Netherlands, detecting influential observati ons in vector autoregressive models, to mention a few. His results elucidate many current inferential problems in statistics in linear and nonlinear multivariate models and ill-posed problems. His informational modeling techniques are currently being used by many doctoral students at UT, in US, and around the world. Dr. Bozdogan is the recipient of many distinguished teaching and research awards at UT including the Bank of America Faculty Leadership Medal Award of the College of Business Administration (CBA); the Hoechst Roussel Teaching and Research Award of the CBA; and the Chancellor's Award for Research and Creative Achievement. His work has been published in many diverse and leading journals. He is the editor or co-editor of six books: Multivariate Statistical Modeling and Data Analysis; Theory & Methodology of Time Series Analysis: Multivariate Statistical Modeling; Engineering & Scientific Applications of Informational Modeling; Measurement and Multivariate Analysis; and Statistical Data Mining & Knowledge Discovery. He is also the author of the modern text books Statistical Modeling and Model Evaluation: A New Informational Approach and Informational Complexity & Multivariate Modeling. Dr. Bozdogan is a member of many professional societies and serves as the referee to many prestigious statistical journals. His current research innovations are in developing intelligent hybrid models between any complex modeling problem, genetic algorithms (GA's) and his information complexity criterion as the fitness function. Coupled with this, his current research is focused in a long-standing problem of model selection under misspecification. He is developing new techniques which are misspecification resistant. This is important because this new approach provides researchers and practitioners with knowledge of how to guard against the misspecification of the model as we actually fit and evaluate these models. In practice, almost always researchers and practitioners alike misspecify their models for a given particular data set. In this sense, these new developments and results are very important in many areas of applied research (e.g., in business, engineering, social and behavioral, and medical fields), which is currently ignored. Bruce Carroll is a member of Acxiom's corporate leadership team. Prior to joining Acxiom, Bruce was Senior VP of the R LPolk company, responsible for the Data Engineering and Marketing Technologies Group and a member of that company's Executive Leadership Team. Until the sale of its various US and Canadian assets to Polk and VNU in late 1996, Bruce was President of Blackburn Marketing Services which included Compusearch Micromarketing Systems, Urban Decision Systems, National Research Bureau and the Carfax Vehicle History Service. Before returning to Canada, Bruce was Managing Director of CMT, one of Europe's largest database companies based in London, England and prior to that was one of the founders of Claritas Corporation where he served as President/CEO of that company until its acquisition by VNU in 1989. Bruce has also had a successful publishing career with McLean Hunter in Toronto and Thompson in New York. Bruce has a reputation for building corporate value through vision and product innovation. He is well known for the development of geodemographic cluster systems in the United States (PRIZM, P$YCLE and PSYTE), Canada (PSYTE) and the UK (Persona) and has pioneered some of the most successful PC-based market analysis and mapping systems in the same three markets: MarketMath (Canada), Compass (United States) and StoreScan (UK). He conceived and developed in 1994 one of the earliest relational CIS systems: MarketLink. Since joining Acxiom he has help develop Solvitur4, OPTICX, PERSONICX and, CREDICX. Bruce has published many articles and is a frequent speaker on issues relating to data-driven, statistical -based market analysis and planning. He is frequently called upon to explain the strategic direction and competitive positioning of our company to key clients, prospects, investors and analysts. He holds post-graduate degrees in Economic History from the University of Toronto. Patricia B. Cerrito is a senior biostatistician at the Jewish Hospital Center for Advanced Medicine and the University of Louisville, with numerous collaborations in the use of data mining to examine health outcomes. Recently, she was the project director for an NSF grant to combine Geographic Information Systems and environmental details with data mining to investigate the need for treatment for shortness of air in a hospital emergency room. Dr. Cerrito is using SAS Text Miner® to investigate chart notes in patient records. She is collaborating with the SAS developers in the use of Text Miner. 
Randy Collica received is B.S. in
electronic engineering from Northern Arizona University in 1982. He is
currently at Hewlett-Packard as a Sr. Business Analyst using Data Mining
techniques for targeted marketing and customer analytics in the Enterprise
Systems Group CRM Operations department. He has developed customer scoring
models and models to estimate corporate IT spending for use in tactical and
strategic customer and prospect business intelligence. His current
interests are in Ensemble models, knowledge and data engineering,
classification models, and text mining techniques for use in business
intelligence. He has authored and co-authored 11 articles and is currently
writing a book on CRM Segmentation and Clustering for business
applications. Mr. Collica has been a member of the IEEE since 1979.
Noshir Contractor
is a Professor of speech communication and psychology at the University of Illinois at
Urbana-Champaign where he teaches courses and doctoral seminars on organizational
communication processes, communication network analysis, dynamic systems analysis,
collaboration technologies, and quantitative research methods. His research interests
include applications of systems theory to communication, the role of emergent
communication and knowledge networks in organizations, and collaboration technologies
in the work place.
His current research focuses on collaboration, including the role of computer-based tools to augment collaboration and group decision-making processes in team and organizational settings. He is currently investigating factors that lead to the formation, maintenance and dissolution of dynamically linked knowledge networks in more than twenty organizations and communities. He is the Principal Investigator on a 3-year $1.5 million grant from National Science Foundation's Knowledge and Distributed Intelligence Initiative to study the co-evolution of knowledge networks and twenty-first century organizational forms. Previously, he was a co-Principal Investigator on the National Science Foundation's Project CITY (Civil Info-structure TechnologY), which examined communication, collaboration and coordination among individuals involved in civil infrastructure development and maintenance for a city. His research has also been supported, in part, by grants from the Sloan Foundation, the Annenberg Foundation, the U.S. Department of Education, and corporate sponsors including Apple Computer's Advanced Technologies Group, 3M, Steelcase, and Panasonic. Professor Contractor has published or presented over 75 research papers dealing with communication. His papers have received top-paper awards from both the International Communication Association and the National (formerly Speech) Communication Association. His articles have appeared in Decision Science, Organization Science, Social Psychology Quarterly, Human Communication Research, Journal of Broadcasting and Electronic Media, and Management Communication Quarterly. He currently serves on the editorial boards of Management Communication Quarterly, Journal of Applied Communication Research, Human Communication Research and the World Wide Web Electronic Journal of Computer-Mediated Communication. He has been invited to serve on review panels by the U.S. Department of Commerce's National Telecommunications and Information Administration (NTIA) and the National Science Foundation. He has consulted with, and made invited presentations to, several organizations, including Community Federal Savings and Loan (St. Louis, MO), Fiat (Torino, Italy), First Interstate Bancorp (Los Angeles, CA), Illinois Power, McKinsey Management Consulting, McDonnell Douglas (Long Beach, CA), Merrill Lynch, Michigan Consolidated, Paramount Pictures (Hollywood, CA), and the Utah Transit Authority. His responsibilities have included developing and implementing dynamic forecast models, structural equation causal models, conducting communication network analyses, human resource needs assessment, environmental impact analysis, and several workshops on the management and implementation of information systems. He has developed graduate and undergraduate "virtual" courses on "Emerging Technologies in the Workplace" webcast and cablecast by Jones International University. Internationally, Professor Contractor has also conducted workshops on the management of knowledge networks in Finland, India, Israel, Italy, Japan, and Spain. Professor Contractor developed the first Collaboratory at the University of Illinois. The facility, now named, Team Engineering Collaboratory (TEC), is a conference room facility where participants have at their disposal a large number of computer-based "groupware" tools, including group decision support systems, synchronous and asynchronous collaborative document preparation software, shared visualization of data, electronic messaging and conferencing systems, and an electronic white board. Professor Contractor is also the lead developer of IKNOW (Inquiring Knowledge Networks On the Web), a Web-based tool to identify and support knowledge networks on Intranets. Currently, he serves as the Director of the Department Computing and Instructional Laboratories, and was Chair of the University of Illinois' Oversight Committee on Computing and Communications in the Social Sciences. Professor Contractor graduated in Electrical Engineering from the Indian Institute of Technology, Madras, India. In 1987, he received his Ph.D. in Communication Theory and Research from the Annenberg School for Communication at the University of Southern 
California, Los Angeles.
James Cox has been the software manager for SAS Text Miner since its inception. Before that, he helped design SAS Enterprise Miner. Jim received a Ph.D. in Cognitive Psychology and Computer Science in 1989 from UNC. He has more than ten years of research experience in Natural Language Understanding. 
Marty Ellingsworth is the Director of Operations Research, a division of
the Customer Research and Strategies
group in Marketing at Fireman's Fund Insurance Company. Marty's current
area of specialization centers on turning theoretical data driven solutions
into practical initiatives that yield profit. His group has active
projects touching every facet of the organization - Underwriting, Sales &
Marketing, Claims - spanning most lines of business in both
commercial and personal property and casualty insurance.
Joydeep Ghosh is a Full Professor and Archie Straiton Fellow with the Dept. of Electrical & Computer Engineering, The University of Texas at Austin. He has taught graduate courses on artificial neural networks, data mining, and web analytics for the past 15 years. His research interest mainly lie in the theory and practice of adaptive multi-learner systems, intelligent data analysis, data mining and Web mining. 
Dr. Ghosh has published more than 200 refereed papers and co-edited 12
books. He has been the Conference Co-Chair of Artificial Neural Networks in
Engineering (ANNIE)'93 to '96 and '99 to '03, which focusses on the
applications of intelligent data analysis methods for real-life engineering
problems. He also serves on the program committee of over a dozen
conferences on data mining, neural networks, pattern recognition, and web
analytics every year. Dr. Ghosh received the 1992 Darlington Award given by
the IEEE Circuits and Systems Society for the Best Paper in the areas of
CAS/CAD, besides five other "best paper" awards. He was a Plenary speaker
at ANNIE'97 and MCS 2002 and has widely lectured on intelligent analysis
of large-scale data. He has co-organized workshops on Web Analytics (with
SIAM Int'l Conf. on Data Mining, SDM2002), Web Mining (with SIAM Int'l
Conf. on Data Mining, 2001), and on Parallel and Distributed Knowledge
Discovery (with KDD-2000), and was the Tutorial Chair for SDM2002 and
SDM2003. He is an associate editor for Pattern Recognition, Jl. of Smart
Engineering Design, and Neural Computing Surveys.
Dr. Ghosh has also served as a consultant or advisor to a variety of companies, from successful startups such as Neonyoyo and Knowledge Discovery One, to large corporations such as IBM, Motorola and Vinson & Elkins. Dr. Piet de Groen is a consultant in the Division of Gastroenterology and Hepatology and in the Division of Medical Informatics Research at the Mayo Clinic in Rochester, MN. He is also an Associate Professor in Medicine and Gastroenterology at Mayo Medical School. Dr. de Groen's clinical research objective is to decrease the mortality due to cholangiocarcinoma (cancer of the bile ducts) by actively pursuing early detection of this disease in patients at risk, develop new or improved current diagnostic modalities, and finally investigate new treatment options. Mayo Clinic Rochester is one of the largest referral centers for this type of tumor. In addition, Dr. de Groen has an interest in bioinformatics. He has led the development of web-based databases and applications for the Mayo Clinic Cancer Center in Rochester. Currently, holds the position of Program Director at Mayo Clinic Rochester of the Mayo Clinic/IBM Computational Biology Collaboration. This collaboration is developing a comprehensive prototype system for access to and interpretation of clinical, genomic as well as proteomic data. Richard Hale leads IBM's Worldwide Data Mining Sales Team. His primary interest is in finding new ways to apply data mining to business problems so non-technical users can benefit and he has spent the last 12 years helping companies around the world discover the hidden value in their data. Prior to joining IBM, Mr. Hale held positions as marketing vice president for a major telecommunications company and regional sales manager for a data mining software company. Mr. Hale has a patent pending for a methodology and algorithm to simplify identification of promotional targets by using mining and logic embedded in a database. Valdis Krebs is a management consultant and the developer of InFlow, a software based, organization network analysis methodology that maps and measures knowledge exchange, information flow, communities of practice, networks of alliances and other networks within and between organizations. Through eye-opening graphics and revealing measures, this technique allows managers to see what was once invisible. Clients such as IBM, TRW, Raytheon, Aventis, Cardinal Health, Centers for Disease Control [CDC], Lucent Technologies, Hiram Walker, ACENet, Rubbermaid, Sempra Energy, Deloitte Touche Tohmatsu, Ernst & Young, PricewaterhouseCoopers, Booz Allen & Hamilton and many others use his software and services to map and measure networks/flows/relationships in organizations, communities, computer networks, and other complex human systems. His work in organizational network analysis has been covered in several major publications including Business 2.0, Wall Street Journal, Entrepreneur, First Monday, Optimize Magazine, Training, PC, ZDNet, O'Reilly Network, Knowledge Management, Across the Board, Business Week, HR Executive, Personnel Journal, Forbes, FORTUNE, and several times [1988/1996/2002] in Esther Dyson's information industry newsletter -- Release 1.0. Valdis has undergraduate degrees in Mathematics & Computer Science, and a graduate degree in Organizational Behavior/Human Resources and has studied applied Artificial Intelligence. He has lectured on organizational networks at UCLA Anderson School, Michigan State University, Cleveland State University, University of Michigan Business School and the University of Latvia. His research interests include network patterns found in adaptive/agile organizations, network vulnerability, and business ecosystems. Valdis has consulted and researched organizational networks since 1988. He works from his office in Cleveland, Ohio with colleagues in the USA, Canada and Europe 
Tom M.
Mitchell is the Fredkin Professor of Computer Science at
Carnegie Mellon University. His research lies in the area of machine
learning, data mining, artificial intelligence, and information fusion.
Mitchell is President of the American Association of Artificial
Intelligence (AAAI), author of the textbook "Machine Learning," and a
member of Darpa's ISAT advisory committee. He received the 2002 Debye
Prize for his research in computer science. Mitchell is the founding
director of CMU's Center for Automated Learning and Discovery, an
interdisciplinary research center specializing in statistical machine
learning and data mining, and the first institution to offer a Ph.D.
program in "Computational and Statistical Learning." During 2000-2001, he
served as chief scientist for WhizBang Labs, a company that employed
machine learning to extract information from the web. Mitchell's recent
research has focused on machine learning approaches to information
extraction from text, medical outcomes analysis, and analyzing human brain
function based on fMRI data.
Will Neafsey manages the Analytical Competency Center at Ford Motor Co. He has worked at Ford for 11 years in various positions including IT, marketing and sales and operations research in functional areas including plant floor, manufacturing, new business development and product development. He holds a bachelor's and master's degree in Operations Research, as well as an MBA, from Cornell University. Ford Motor Co.'s principal activities are within two principal business segments. The Automotive segment consists of the design, manufacture, sale and service of cars and trucks, automotive components and systems. Automotive brands include Ford, Lincoln, Mercury, Jaguar, Volvo, Land Rover, Mazda, and Aston Martin. The financial services segment consists of vehicle-related financing, leasing and insurance, renting and leasing of cars and trucks and renting industrial and construction equipment and other activities. Raymond A. Paul serves the as the technical director for command and control (C2) policy. In this position, Dr. Paul supervises command and control systems engineering development for objective, quantitative and qualitative measurements concerning the status of software/systems engineering resources and evaluate project outcomes to support major investment decisions. This measurement data is required to meet various Congressional mandates, most notably the Clinger-Cohen Act. As a professional electronics engineer, software architect, developer, tester, and evaluator for the past 24 years, Dr. Paul has held many positions in the field of software engineering. Dr. Paul is an active member of the IEEE Computer Society. He has published more than 57 articles on software engineering in various technical journals and symposia proceedings, primarily under DoD and IEEE sponsorship. 
Raghu
Ramakrishnan is Professor of Computer Sciences at the University of
Wisconsin-Madison, and was Chairman and CTO of QUIQ, a company that
pioneered collaborative customer support (and was acquired by Kanisa). His
research is in the area of database systems, with a focus on data
retrieval, analysis, and mining. He and his group have developed scalable
algorithms for clustering, decision-tree construction, and itemset
counting, and were among the first to investigate mining of continuously
evolving, stream data. His work on query optimization has found its way
into several commercial database systems, and his work on extending SQL to
deal with queries over sequences has influenced the design of window
functions in SQL:1999.
Dr. Ramakrishnan is an editor-in-chief of the Journal of Data Mining and Knowledge Discovery, and co-director of the UW-Madison Data Mining Institute. He is a Fellow of the Association for Computing Machinery (ACM), and has received several awards, including a Packard Foundation Fellowship, NSF Presidential Young Investigator Award, and an ACM SIGMOD Contributions Award. Dr. Ramakrishnan has authored over 100 technical papers and written the widely-used text "Database Management Systems" (WCB/McGraw-Hill), now in its third edition (with J. Gehrke). Tim Rey is a Counselor in Dow's Business Expertise Center. He has been part of Dow's Central Research organization in the Scientific Computing Center's Math Applications for 24 years, holding numerous positions in R&D, IS, and Marketing Research. His primary role always focused on the implementation of quantitative methods at Dow. Currently, as a Counselor in Dow's Business Expertise Center, Mr. Rey is the lead SME for customer loyalty, quantitative psychometric based marketing research and quantitative CRM. He is responsible for developing and disseminating the technical aspects of Customer Loyalty, Retention and Attraction; Needs Based Segmentation, and Positioning, as well as various other quantitative Marketing Research methods and processes inclusive of data mining. As a Master Black Belt, Mr. Rey developed, taught, and implemented Continuous Improvement, Quality Performance, and Six Sigma concepts throughout Dow. Mr. Rey has published numerous papers both inside and outside of Dow in various quantitative methods arenas. 
Olivia Parr Rud is an internationally known
speaker and author. She has over 22 years experience in marketing with a
13-year emphasis in data mining and statistical analysis for a variety of
industries. Using her blend of analytic skills and creative talents, Olivia
provides direction and develops solutions for her clients in the areas of
acquisition, retention, risk and overall profitability.
Through OLIVIAGroup, Olivia offers a combination of services designed to help companies maximize their database marketing potential. Using StrategicInquiry and StrategicTargeting, she partners with her clients to clarify their goals and design the optimal strategy. Olivia serves as Director of Advanced Analytics for the Executive Leadership Institute at the Stevens Institute of Technology where she is heading up the analysis of the Global Technology Confidence Indicator. Olivia also serves as an instructor for SAS Institute in the Business Knowledge Series. She teaches a 2-day course based on her book, Data Mining Cookbook: Modelling Data for Marketing, Risk and Customer Relationship Management, now available in 4 languages. Olivia also serves as faculty member for Data University, an online university that features experienced database marketing professionals who provide one-on-one training worldwide via the Internet. Olivia has held senior management positions at Fleet Bank, National Liberty Insurance and Providian Bancorp. She has a BA in Mathematics from Gettysburg College and an MS in Decision Science, with an emphasis in Statistics, from Arizona State University. Shashi Shekhar is currently a Professor of Computer Science the University of Minnesota, Minneapolis, MN, USA. He was recently elected an IEEE fellow for contributions to spatial database storage methods, data mining, and geographic information systems. He has co-authored a textbook on Spatial Databases (Prentice Hall, 2003, ISBN 0-13-017480-7) and has published over 100 research papers in peer-reviewed journals, books, and conferences, and workshops. He is a co-Editor-in-Chief of Geo-Informatica: An International Journal on Advnace in Computer Sc. for GIS and a member of the Board of Directors of University Consortium on GIS (2003-2004). He has served on the editorial boards of IEEE Transactions on Knowledge and Data Engineering as well as the IEEE-CS Computer Science & Engineering Practice Board. He also served as a program co-chair of the ACM Intl. Workshop on Advances in Geographic Information Systems, 1996. His sponsors include the N ational Science Foundation, NAS A, Army Research Laboratories, Control Data Inc., US DOT, FHWA, MN/DoT and the ITS Institute. He is alumni of University of California (Berkeley, CA), Indian Inst. for Tech. (Kanpur, India) and Netarhat School (India). David Speights is First Vice President, Mortgage Credit Risk Modeling at Washington Mutual. His team is responsible for designing and building risk models for underwriting new mortgages and managing Washington Mutual's $100 Billion residential mortgage portfolio. Prior to joining Washington Mutual, David was lead statistician at HNC software for their MIRA software product. MIRA is a claim level loss reserving software system that is in place at many of the largest insurance companies in the country. While at HNC, David lead a complete redesign of the MIRA statistical models resulting in two publications. Over the past 5 years David has also served as a private consultant in the pharmaceutical industry, research institutions, retail management, and for marketing applications. He holds a Ph.D. in Biostatistics from UCLA and has 12 years of SAS programming experience. 
Dr. Jaideep Srivastava is a professor on the
faculty of the University of Minnesota. Between 1999 and 2001 he took a
two-year leave, during which he spent time at Amazon.com and at Yodlee Inc.
This wide-ranging industry experience has provided him with a unique
perspective on the application of various computer science technologies in
various kinds of Web-based services. As a researcher, educator, consultant,
and invited speaker in the areas of data mining, databases, artificial
intelligence, and multimedia for over 15 years, Dr. Srivastava continues
his active collaboration with the technology industry, both for research
and technology transfer. An often-invited participant in technical and
technology strategy forums, Dr. Srivastava has presented at a multitude of
industry, academic and government meetings. He has been involved in the
organization of a number of conferences, and serves on the editorial board
of various journals. The federal government has solicited his opinion on
computer science research as an expert witness. He also served in an
advisory role to the governments of India and Chile on various software
technologies. Dr. Srivastava received his B.Tech. in Computer Science from
the Indian Institute of Technology - Kanpur, and M.S. and Ph.D. in Computer
Science from the University of California - Berkeley.
Revathi Subramanian is the Manager of
Financial Services Advanced Analytics group at the SAS Institute. She has
broad financial services industry experience with a heavy emphasis on
Credit Card Fraud and Credit Risk Analysis, Decision Optimization, Model
Development, and Product Development.
Prior to joining SAS, she was Executive Director of Product Engineering at HNC/ Fair Isaac and was responsible for the development and support of a number of credit card risk, marketing, and fraud products which are widely used by VISA members. Early in her career, she worked with National City Card Services, helping in managing their accounts and launching marketing campaigns. Revathi has considerable experience with credit card banking industry, having worked for both a card issuer and a solutions provider. While at HNC/Fair Isaac, she worked closely with a number of card issuers and thus understands both the technical and the business issues in launching new products. Revathi holds a masters degre in Statistics from The Ohio State University. Additionally, she completed all the required course work towards PhD. 
Andreas S. Weigend is the Chief Scientist at
Amazon.com where he is responsible for research in machine learning and
computational marketing. Applications range from real-time predictions of
customer intent and satisfaction, to long-term optimization of pricing and
promotions.
He also teaches at Stanford University in Statistics and at CEIBS (China Europe International Business School. Shanghai) in the executive program. Previously, he was full-time faculty at New York University's Stern School of Business and at the University of Colorado at Boulder. He has published more than one hundred scientific papers and co-authored six books. He is a partner at Weigend Associates LLC, a high-end consultancy providing services in the areas of data mining and behavioral analytics to Acxiom, Bank of America, Goldman Sachs, J.P. Morgan, Morgan Stanley, Union Bank of Switzerland, and others. His entrepreneurial career includes Moodlogic, recently voted the best music organizer by cnet, and ShockMarket, a financial market data analysis firm backed by D.E. Shaw and Deutsche Bank. He received his Ph.D. from Stanford University in physics in 1991, and was a researcher at Xerox PARC (Palo Alto Research Center) and the Santa Fe Institute. He studied electrical engineering, physics, and philosophy at Karlsruhe University, Bonn University (Germany), and Trinity College, Cambridge (U.K.). 
Terry Woodfield is a Statistical Services Specialist in the
Education Division of SAS Institute, Inc. He provides training and mentoring services in
the areas of statistical forecasting, predictive modeling, and data mining. Dr. Woodfield
was Chief Statistician at HNC Software before joining the SAS Education Division in 1999.
Prior experience includes statistical software development in SAS/ETS Research and
Development and university teaching and research. Dr. Woodfield has been active in the
statistics profession, presenting papers at numerous statistical conferences and
professional meetings, and he has served on steering committees in data mining and
forecasting. He has helped develop forecasting and predictive modeling solutions for
insurance, energy, and retail companies. He has been an expert witness in utility
ratemaking hearings. In the SAS Education Division, Dr. Woodfield has developed courses
in statistical forecasting, Web mining, and text mining. Prior teaching experience
includes gradua te and undergraduate instruction at Arizona State University, Texas A&M
University, Lamar University, and the University of Phoenix. Dr. Woodfield has 24 years
SAS programming experience, as well as 26 years experience programming in computer
languages like C/C++ and FORTRAN. Dr. Woodfield holds a Ph.D. in statistics from Texas
A&M University. Outside of his statistics and data mining career, Dr. Woodfield is a
California Interscholastic Federation, USSF, and AYSO Soccer Referee and a Private Pilot
based at John Wayne Airport.
Lotfi A. Zadeh is a Professor in the Graduate School,
Computer Science Division, Department of EECS, University of California, Berkeley. In
addition, he is serving as the Director of
BISC (Berkeley Initiative in Soft Computing).
Lotfi Zadeh is an alumnus of the University of Teheran, MIT and Columbia University. He held visiting appointments at the Institute for Advanced Study, Princeton, NJ; MIT; IBM Research Laboratory, San Jose, CA; SRI International, Menlo Park, CA; and the Center for the Study of Language and Information, Stanford University. His earlier work was concerned in the main with systems analysis, decision analysis and information systems. His current research is focused on fuzzy logic, computing with words and soft computing, which is a coalition of fuzzy logic, neurocomputing, evolutionary computing, probabilistic computing and parts of machine learning. The guiding principle of soft computing is that, in general, better solutions can be obtained by employing the constituent methodologies of soft computing in combination rather than in stand-alone mode. Lotfi Zadeh is a Fellow of the IEEE, AAAS, ACM, AAAI, and IFSA. He is a member of the National Academy of Engineering and a Foreign Member of the Russian Academy of Natural Sciences. He is a recipient of the IEEE Education Medal, the IEEE Richard W. Hamming Medal, the IEEE Medal of Honor, the ASME Rufus Oldenburger Medal, the B. Bolzano Medal of the Czech Academy of Sciences, the Kampe de Feriet Medal, the AACC Richard E. Bellman Central Heritage Award, the Grigore Moisil Prize, the Honda Prize, the Okawa Prize, the AIM Information Science Award, the IEEE-SMC J. P. Wohl Career Achievement Award, the SOFT Scientific Contribution Memorial Award of the Japan Society for Fuzzy Theory, the IEEE Millennium Medal, the ACM 2000 Allen Newell Award, and other awards and honorary doctorates. He has published extensively on a wide variety of subjects relating to the conception, design and analysis of information/intelligent systems, and is serving on the editorial boards of over fifty journals. 
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