Since AmI is a multidisciplinary area where software is related to sensors integrating many areas of AI, it is appropriate to a general audience. Participants are expected to have a basic understanding of AI methods and their applications. The tutorial introduces them to applications of AmI which are starting to have a practical impact in the real world today. It will offer the opportunity for AI researchers and practitioners of different areas of AI to explore the potential of AmI systems for the AI community and for society in general.
Diane Cook is a Huie-Rogers chair professor at Washington State University. Her research interests include machine learning, data mining, robotics, smart environments, and parallel algorithms for AI. She is a director of the AI Laboratory and serves as editor-in-chief of the IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics.
Hans W. Guesgen holds a chair in computer science at Massey University, New Zealand. He has taught courses at all levels of the computer science curriculum for more than 14 years and has published extensively in his area of research, which in particular includes spatio-temporal aspects of ambient intelligence.