|Alma mater||Technical University of Madrid|
Carnegie Mellon University (PhD)
|Awards||ACM Fellow (2016)|
AAAI Fellow (2012)
|Thesis||Acquiring domain knowledge for planning by experimentation (1992)|
|Doctoral advisor||Jaime Carbonell|
Yolanda Gil is a Spanish computer scientist specializing in knowledge discovery and knowledge-based systems at the University of Southern California (USC). She served as chair of SIGAI the Association for Computing Machinery (ACM) Special Interest Group (SIG) on Artificial Intelligence, and the president of the Association for the Advancement of Artificial Intelligence (AAAI).
Gil is from Madrid, and earned a licenciate 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 was supervised by Jaime Carbonell.
Career and research
Gil joined the University of Southern California as a research scientist at the Information Sciences Institute in 1992. At USC, she is a Research Professor of Computer Science and Spatial Sciences, Associate Division Director at the Information Sciences Institute, and director of the Center for Knowledge-Powered Interdisciplinary Data Science in the USC Viterbi School of Engineering.
Awards and honors
Gil was elected the chair of SIGAI the Association for Computing Machinery (ACM) Special Interest Group (SIG) on Artificial Intelligence for two terms, from 2010 to 2016. She is president of the Association for the Advancement of Artificial Intelligence for 2018 to 2020.
She was nominated a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2012, and a Fellow of the Association for Computing Machinery in 2016 "for leadership in advancing the use of artificial intelligence in support of science, and for service to the community".
- Yolanda Gil publications indexed by Google Scholar
- Yolanda Gil at the Mathematics Genealogy Project
- Stuart, S. C. (September 1, 2018), "Think AI Is Too Scary? This Expert Wants to Calm Your Fears", PC Magazine,
Dr. Yolanda Gil, the new president of the Association for the Advancement of Artificial Intelligence (AAAI), explains why we need to design AI systems that have and encourage 'ethical and responsible behaviors.'
- Rivas, Renee, Look Who's Talking! (Interview with Yolanda Gil and Kevin Knight), Carnegie Mellon University School of Computer Science, retrieved 2018-10-15
- Yolanda Gil Curriculum vitae (PDF), March 2018, retrieved 2018-10-15
- Gil, Yolanda (1992). Acquiring Domain Knowledge for Planning by Experimentation (PDF). dtic.mil (PhD thesis). Carnegie Mellon University. OCLC 27308275.
- Gil, Yolanda; Deelman, Ewa; Ellisman, Mark; Fahringer, Thomas; Fox, Geoffrey; Gannon, Dennis; Goble, Carole; Livny, Miron; Moreau, Luc; Myers, Jim (2007). "Examining the Challenges of Scientific Workflows" (PDF). Computer. 40 (12): 24–32. doi:10.1109/MC.2007.421. ISSN 0018-9162.
- Anon (2012), "Current AAAI members who are fellows", aaai.org, Association for the Advancement of Artificial Intelligence, retrieved 2018-10-15
- Anon (December 8, 2016), "ACM 2016 Fellows Recognized for Advances that Are Transforming Science and Society", acm.org, Association for Computing Machinery, retrieved 2018-10-15