Yolanda Gil
From Wikipedia, the free encyclopedia
Carnegie Mellon University (PhD)
AAAI Fellow (2012)
Yolanda Gil | |
|---|---|
| Alma mater | Technical University of Madrid Carnegie Mellon University (PhD) |
| Awards | ACM Fellow (2016) AAAI Fellow (2012) |
| Scientific career | |
| Fields | |
| Thesis | Acquiring domain knowledge for planning by experimentation (1992) |
| Doctoral advisor | Jaime Carbonell[1] |
| Website | isi |
Yolanda Gil is a Spanish-born American computer scientist specializing in knowledge discovery and knowledge-rich intelligent user interfaces at the University of Southern California (USC).[2] She served as president of the Association for the Advancement of Artificial Intelligence (AAAI), and chair of the Special Interest Group on Artificial Intelligence (SIGAI) for the Association for Computing Machinery (ACM). Gil was appointed to the National Science Board in 2024.[3]
Gil is from Madrid,[4] and earned a licenciate in Computer Science from the Technical University of Madrid in 1985. She did her graduate studies at Carnegie Mellon University, completing her Ph.D. in 1992. Her dissertation on planning and learning was supervised by Jaime Carbonell.[1][5][6]