Manuela Veloso | |
|---|---|
 Manuela Veloso at the Alan Turing Centenary Conference in Manchester in 2012 | |
| Born | Manuela Maria Veloso August 12, 1957 |
| Nationality | Portuguese, American |
| Alma mater | Instituto Superior Técnico - University of Lisbon (MSc) Boston University (MA) Carnegie Mellon University (PhD) |
| Awards | National Science Foundation CAREER Award (1995) ACM Fellow (2016) AAAI Fellow (2003)[1] |
| Scientific career | |
| Fields | Artificial Intelligence Robotics Planning Learning Multi-agent systems[2] |
| Institutions | JPMorgan Chase Carnegie Mellon University |
| Thesis | Learning by Analogical Reasoning in General Purpose Problem Solving (1992) |
| Doctoral advisor | Jaime Carbonell[3] |
| Doctoral students | Astro Teller Peter Stone[3] |
| Website | www |
Manuela Maria Veloso (born August 12, 1957) is the Head of J.P. Morgan AI Research[4] & Herbert A. Simon University Professor Emeritus[5] in the School of Computer Science at Carnegie Mellon University, where she was previously Head of the Machine Learning Department. She served as president of Association for the Advancement of Artificial Intelligence (AAAI) until 2014, and the co-founder and a Past President of the RoboCup Federation. She is a fellow of AAAI, Institute of Electrical and Electronics Engineers (IEEE), American Association for the Advancement of Science (AAAS), and Association for Computing Machinery (ACM). She is an international expert in artificial intelligence and robotics.[2][6]
- ^ "Elected AAAI Fellows". Aaai.org. Retrieved 17 November 2018.
- ^ a b Manuela M. Veloso publications indexed by Google Scholar
- ^ a b Manuela M. Veloso at the Mathematics Genealogy Project
- ^ "J.P. Morgan Artificial Intelligence". Retrieved 7 September 2019.
- ^ "Manuela Veloso Ranked Among Most Influential Women in Engineering". Retrieved 3 October 2023.
- ^ Russell, Stuart; Hauert, Sabine; Altman, Russ; Veloso, Manuela (2015). "Robotics: Ethics of artificial intelligence". Nature. 521 (7553): 415–418. Bibcode:2015Natur.521..415.. doi:10.1038/521415a. ISSN 0028-0836. PMID 26017428.
