Adaptive Hypermedia 2004 Keynote Speakers
Prof.dr. Emile Aarts is Vice President and Scientific Program Director of the Philips Research Laboratories Eindhoven, The Netherlands. He holds an MSc. and PhD. degree in physics. For almost twenty years he has been active as a research scientist in computing science. Since 1991 he holds a teaching position at the Eindhoven University of Technology as a part-time professor of computing science. He also serves on numerous scientific and governmental advisory boards. He holds a part-time position of senior consultant with the Center for Quantitative Methods in Eindhoven, The Netherlands. Emile Aarts is the author of five books and more than hundred and forty scientific papers on a diversity of subjects including nuclear physics, VLSI design, combinatorial optimization and neural networks. In 1998 he launched the concept of Ambient Intelligence and in 2001 he founded Philips' HomeLab. His current research interests include embedded systems and interaction technology.
Dr. Candy Sidner is an expert in user interfaces, especially those involving speech and natural language understanding, and human and machine collaboration. She is currently working human robot interaction and especially on engagement between humans and robots (e.g. for Hosting Activities). She has also applied speech understanding technology to collaborative interface agents in the COLLAGEN project (producing Java Middleware for Collaborative Agents). Dr. Sidner was Chair of the 2001 International Conference on Intelligent User Interfaces and is a past President of the Association for Computational Linguistics. She is also a Fellow and past Councilor of the American Association for Artificial Intelligence.
Dr. Eric Horvitz is senior researcher and manager of the Adaptive Systems & Interaction Group at Microsoft Research. His research interest is in computational foundations of intelligent sensing, reasoning, and action, with a particular focus on methods for grappling with incompleteness in representations of uncertainty about environments or situations. His work centers on harnessing probability and decision theory, decision analysis, and, in particular, the use of Bayesian and decision-theoretic principles in the construction and operation of intelligent, flexible computer-based reasoning systems. The ASI group is at the center of user modeling at Microsoft Research, focused on inferring the goals and needs of users from multiple sources of information about activity and interest. The work also includes research on information retrieval and management, including work in automated text classification and clustering.