David Schaffer, Research Fellow
Philips Research Briarcliff, USA

David is with Philips Research since 1985. His expertise in genetic algorithms, artificial intelligence and machine learning has been applied to various fields such as computer vision, evaluation of clinical trials, and optimization of fast-throughput assembly machines for electronic components. He has devised methods for applying machine-learning methods to personal profiling, allowing a consumer device to automatically cater to the preferences of users and to present them personalized information derived from a broadcast or accessed from a local storage device. He is associate editor of the Evolutionary Computing Journal and was one of the founding members of the International Society for Genetic Algorithms (since expanded to become the Int. Soc. for Genetic and Evolutionary Computing).

Back to:
+ Research Fellows