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Guest Editors' Introduction: Environmental Applications of AI

Cindy , NASA Ames Research Center
Stan , University of Ottawa

Pages: pp. 12–13

About the Authors

Cindy Mason is a principal investigator in automation sciences research at the NASA Ames Research Center. Her research projects have included the development of agent architectures and languages for a variety of intelligent network applications, including a global network of seismic monitoring stations for a comprehensive test ban treaty. She has been active in organizing workshops on environmental applications in the AI community. She can be reached at the Information Sciences Division 269-2, NASA Ames Research Center, Moffett Field, CA 94035;
Stan Matwin is a professor of computer science at the University of Ottawa, Canada. His research interests are in machine learning and its applications, and in knowledge-based systems. He is president of the Canadian Society for Computational Studies of Intelligence and head of the International Federation for Information Processing Working Group 12.2 (machine learning). He has worked for several years with Forestry Canada and the Canada Centre for Remote Sensing on applications of learning and planning in the natural resources sector. He works currently on inductive machine learning and its applications, with a special focus on combining data- and knowledge-driven learning. He is research director of a project with MDA, Inc., of Vancouver, Canada, that applies learning to the detection of oil spills on sea from satellite radar images. He can be contacted at the Dept. of Computer Science, Univ. of Ottawa, 150 Louis Pasteur, Ottawa, Ontario K1N 6N5, Canada;
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