2009 Dr. Alain Kornhauser
Dr. Alain Kornhauser
“The Robotic Car of the Future”

Dr. Alain L. Kornhauser is a Professor of Operations Research and Financial Engineering at Princeton University. He is also Director of Princeton’s Transportation Research Program, Co-Director for the New Jersey Center for Transportation Information and Decision Engineering (NJ Tide) and Vice chairman New Jersey Commission on Science and Technology. He received PhD and MA degrees in Aerospace and Mechanical Sciences from Princeton University, and MS and BS degrees in Aerospace Engineering from Pennsylvania State University. His research interests include Optimization of Flows in Stochastic Networks, Computer Vision and Automatic Control of Vehicles and Design of Decision Support Systems for Individuals. He was co-editor of several books and has authored over 100 scholarly papers. He was Team Leader for Princeton’s entry in the 2005 DARPA Grand Challenge, which earned a 10th seed, and for Princeton’s entry in the 2007 DARPA Urban Challenge, chosen to participate in the National Qualifying Event.

Dr. Kornhauser is founded and Board Chairman of ALK Technologies, Inc. ALK designs and builds realtime customized decision systems for major transportation companies and develops markets, maintains and supports transportation routing software and databases. It’s brand software products PC*Rail, PC*Miler and FleetCenter are leaders in the rail, motor carrier and logistics sectors. It also produces the CoPilot family of in-vehicle navigation systems for North America, Europe and Australia. CoPilot is well recognized industry leader in portable route guidance systems winning numerous awards including the 2006 LBS (Location Based Services) Challenge Grand Prize. ALK employs 120 professionals at its headquarters in Princeton, NJ and 60 in it European headquarters in London with smaller offices in Paris, Munich, Madrid and Taipei.

2010 Richard Stallman

Keynote Speaker “Free Software, Free Society”.Richard Stallman is one of the originators of the free software movement. Free software is a matter of the users’ freedom to run, copy, distribute, study, change and improve the software without limitation, interference or restriction. In furtherance of this concept, he helped found the Free Software Foundation (http://www.fsf.org/). In 1985, Stallman published the GNU Manifesto, which outlined a free operating system called GNU, which would be compatible with Unix. The name GNU is a recursive acronym for GNU’s Not Unix. Stallman was responsible for contributing most of the necessary tools needed to create the operating system that eventually emerged as GNU/LINUX. These tools include a flexible and powerful text editor (Emacs), a compiler (GCC), a debugger (gdb), and a build automator (gmake). All these tools are in daily use by untold thousands of programmers. Come hear Stallman’s Keynote presentation. It is sure to be an interesting and thought provoking presentation by someone who is a true pioneer of modern software development and a philosopher of software development and dissemination through society.

011 – Larry O’Gorman
Larry O’Gorman

Lawrence O’Gorman
Alcatel-Lucent Bell Labs
Murray Hill, NJ USA
“Tales in Multimedia Security – From Digital Libraries to Biometrics to Telepresence”

Abstract

This talk combines a retrospective of past technologies and a look forward to a new one, with the objective of identifying common factors in the path from research to success. All work described in this talk involves multimedia signal processing and security. Our retrospective begins with digital libraries. In the early days of the World Wide Web, content providers were reluctant to publish electronically for fear of theft of material, so technologists provided watermarking. How has this worked out for the content owners, the watermark technologists, and the speed of adoption of digital libraries? We next examine an anti-counterfeiting technology combining image processing with the then new technology of public key cryptography. This combination was innovative, but was it successful? Finally, we examine biometrics. How were early hurdles overcome leading to biometrics’ surge in research activity and global adoption? With knowledge of these past successes and challenges, we examine current work in telepresence. Why, 46 years after AT&T’s introduction of the Picturephone, do most of us still travel rather than meet via video conference? Although many people might propose that bandwidth and network issues are still the problem, we suggest a more user-centric challenge, video privacy. If that is so, how can we overcome this to achieve telepresence success?

Biography:

Larry O’Gorman is a scientist and new technology champion in areas including image processing, pattern recognition, speech and video analytics, and multimedia security. He is a Distinguished Member of Technical Staff at Alcatel-Lucent Bell Labs, as well as an Adjunct Professor in the Computer Science Department at the Polytechnic Institute of New York University.

At Bell Labs, he works in the area of multimedia signal processing, including video, image, audio, and other sensors. He teaches on the topic of signal security, which includes biometrics, watermarking, telephony, etc. Previous to Bell Labs, Dr. O’Gorman worked at Avaya Labs Research on signal and system security, signal processing, and multi-media systems. Before this he was Chief Scientist and co-founder of Veridicom, Inc., a developer of personal fingerprint authentication systems. Prior to this he was at Bell Labs under the parent coroporations of AT&T and Lucent Technologies.

He has written over 70 technical papers, eight book chapters, holds 15 patents, and is co-author of the books, “Practical Algorithms for Image Analysis” published by Cambridge University Press, and “Document Image Processing” published by IEEE Press. He is a Fellow of the IEEE and of the International Association for Pattern Recognition. In 1996, he won the Best Industrial Paper Award at the International Conference for Pattern Recognition and an R&D 100 Award for one of “the top 100 innovative technologies of that year.” He is (or has been) on the Editorial Boards of four journals (including IEEE Pattern Analysis and Machine Intelligence, and Pattern Recognition), and a member of several technical committees. He has served on US government panels to NIST, NSF, and NAE, and to France’s INRIA.

He received the B.A.Sc., M.S., and Ph.D. degrees in electrical and computer engineering from the University of Ottawa, University of Washington, and Carnegie Mellon University respectively.