Adriana Lara
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Adriana Lara López is a Mexican computer scientist whose research involves evolutionary computation, memetic algorithms, and multi-objective optimization. She is a professor in the school of physics and mathematics at the Instituto Politécnico Nacional in Mexico.[1]
Education and career
Lara graduated from the Instituto Politécnico Nacional in 2001, and earned a master's degree through CINVESTAV in 2003.[2] She completed her PhD at CINVESTAV in 2012.[1] Her dissertation, Using Gradient Based Information to Build Hybrid Multi-objective Evolutionary Algorithms, was jointly supervised by Oliver Schütze and Carlos A. Coello Coello.[3]
She has been a professor at the IPN since 2003.[4]
Recognition
Lara was elected to the Mexican Academy of Sciences in 2022.[5]
References
- ^ a b "Women at GECCO", GECCO 2020, retrieved 2022-12-05
- ^ "Adriana Lara", IEEE Xplore, IEEE, retrieved 2022-12-05
- ^ "PhD Defense of Adriana Lara López", Evolutionary Computation Group at CINVESTAV (EVOCINV), CINVESTAV, retrieved 2022-12-05
- ^ "Adriana Lara", ORCiD, retrieved 2022-12-05
- ^ Mathematics section members (PDF), Mexican Academy of Sciences, 2022, retrieved 2022-12-05
External links
- Adriana Lara publications indexed by Google Scholar
Categories:
- Articles with short description
- Short description matches Wikidata
- Use dmy dates from December 2022
- Use list-defined references from December 2022
- Articles with DBLP identifiers
- Articles with Google Scholar identifiers
- Articles with MGP identifiers
- Articles with ORCID identifiers
- Articles with Scopus identifiers
- Year of birth missing (living people)
- Living people
- Mexican computer scientists
- Mexican women computer scientists
- Academic staff of the Instituto Politécnico Nacional
- Members of the Mexican Academy of Sciences