Manuela M. Veloso
From Wikipedia, the free encyclopedia
Manuela M. Veloso | |
Residence | United States |
---|---|
Nationality | Portuguese |
Fields | Robotics |
Institutions | Carnegie Mellon University |
Alma mater | Carnegie Mellon University Boston University Instituto Superior T'ecnico |
Doctoral advisor | Jaime Carbonell |
Manuela M. Veloso is a Portuguese roboticist and the Herbert A. Simon Professor at the School of Computer Science, Carnegie Mellon University. She is the president-elect of the International RoboCup Federation and a fellow of the American Association for Artificial Intelligence. She is an international expert in multi-agent systems. [1] and the author of the book Planning And Learning By Analogical Reasoning. [2]
Contents |
[edit] Biography
[edit] Education
Manuela Veloso received her Licenciatura and M.Sc. in Electrical Engineering from the Instituto Superior T'ecnico in 1980 and 1984, respectively. She then attended Boston University, and received a M.A. in Computer Science in 1986. She moved to Carnegie Mellon University and received her Ph.D. in Computer Science there in 1992. Her thesis Learning by Analogical Reasoning in General Purpose Problem Solving was advised by Jaime Carbonell.
[edit] Career
Shortly after receiving her Ph.D., Manuela Veloso joined the faculty of the Carnegie Mellon School of Computer Science as an assistant professor. She was promoted to the rank of associate professor in 1997, and a full professor in 2002. Veloso was also a visiting professor at the Massachusetts Institute of Technology from August, 1999 to August, 2000.
[edit] Research
Veloso describes her research goals as the "effective construction of autonomous agents where cognition, perception, and action are combined to address planning, execution, and learning tasks".
[edit] Honors and Awards
- National Science Foundation CAREER award in 1995.
- Allen Newell Medal for Excellence in Research in 1997.
[edit] See also
[edit] References
- ^ Stone, P.; Veloso, M. (2000). "Multiagent Systems: A Survey from a Machine Learning Perspective". Autonomous Robots 8 (3): 345-383.Hello
- ^ Veloso, M.M. (1994). Planning And Learning By Analogical Reasoning. Springer.