France - 2005
For outstanding contributions to computing education by placing the teaching of artificial intelligence on a statistical and quantitative foundation, and for dedicated mentoring of students and junior researchers in his field.
Professor Russell has made many seminal contributions to the field of artificial intelligence research. He is best known for applying rigorous mathematical and quantitative approaches to his formulation of systems that can display intelligent behavior and learn from past experiences. Mathematical logic and probabilistic methods are the cornerstones of his approach to Artificial Intelligence.
Professor Russell, after his undergraduate education at Oxford University, received his Ph.D. from Stanford University in 1986. He joined the Berkeley faculty in that year, where he is now the Smith-Zadeh Professor in Engineering and leads the Center for Intelligent Systems. He has won numerous awards in his field, including the Computers and Thought award in 1995, and is a Fellow of the ACM and the American Association for Artificial Intelligence.
Russell is widely known for creating a dynamic research group among his students and post doctoral researchers, many of whom have gone on to become young leaders in the field. He has supervised the research of over 45 undergraduate students, graduate students, and post docs, who now populate industry, industrial research, and university departments.
Russell is an inspirational teacher, teaching both graduate and undergraduate courses in Artificial Intelligence. He has also co-taught an innovative Introduction to Theoretical Computer Science course developed with his theory colleagues at Berkeley.
Perhaps Russell's most significant contribution to teaching beyond the classroom is his seminal textbook, written in partnership with Dr. Peter Norvig, and entitled Artificial Intelligence: A Modern Approach. This book brings Russell's research insights and approach into the classroom, and it has revolutionized the teaching of artificial intelligence around the world. The book is in use in 940 universities in 91 countries, and can rightly be called the premier textbook in the field.
USA - 2003
For contributions to AI and machine learning.