Advisory Board

Todd Smith

Todd Smith founded Tivoli Systems in 1990 and was the company's chief scientist responsible for creating the distributed architecture that evolved into the CORBA standard widely adopted within the industry today. Prior to Tivoli Systems, Mr. Smith worked at IBM where he focused on object-oriented systems, distributed architectures and a variety of other important technologies. He is the author of several key patents ranging from the Internet cookie to heuristic detection of phish sites.

Tom Cuthbert

Tom Cuthbert is the founder of Click Forensics. For several years he has been one of the leading industry voices in the battle against pay-per-click advertising fraud. He developed the Click Fraud Network™, the first and largest service of its kind that advertisers use to monitor online advertising campaigns for click fraud. It's also the first service to report accurate monthly and quarterly data on the overall industry-wide click fraud threat level.

Mr. Cuthbert has spoken on the topics of pay-per-click advertising and click fraud at top industry events, including ad:tech and the Search Engine Strategies conference. He has also appeared as a click fraud industry expert on CNBC and Bloomberg television. Mr. Cuthbert has been a key member of the Interactive Advertising Bureau (IAB) Click Measurement Working Group that established guidelines for click measurement. He also founded the Click Quality Council, which represents more than 100 leading advertisers who work together to provide advertiser input into the development of industry click quality measurement standards.

Joydeep Ghosh

Joydeep Ghosh is currently the Schlumberger Centennial Chair Professor of Electrical and Computer Engineering at the University of Texas, Austin. He joined the UT-Austin faculty in 1988 after being educated at IIT Kanpur, (B. Tech '83) and The University of Southern California (Ph.D'88). He is the founder-director of IDEAL (Intelligent Data Exploration and Analysis Lab) and a Fellow of the IEEE. His research interests lie primarily in intelligent data analysis, data mining and web mining, adaptive multi-learner systems, and their applications to a wide variety of complex engineering and AI problems. Dr. Ghosh has published more than 250 refereed papers and 35 book chapters, and co-edited 20 books. His research has been supported by the NSF, Yahoo!, Google, ONR, ARO, AFOSR, Intel, IBM, Motorola, TRW, Schlumberger and Dell, among others. At UT, Dr. Ghosh teaches graduate courses on data mining, artificial neural networks, and web analytics. He was voted the Best Professor by the Software Engineering Executive Education Class of 2004.

William Wright

William, a Ph.D. in cognitive science, is an artificial intelligence expert who has built numerous analytical and predictive systems over the past twenty years, including the Falcon Credit Card Fraud Detection System at HNC, the Advanced Fraud Screen system at CyberSource, and numerous adversarial modeling systems for the U.S. military.