Adriana Lara
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
[edit]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
[edit]Lara was elected to the Mexican Academy of Sciences in 2022.[5]
References
[edit]- ^ 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
[edit]- Adriana Lara publications indexed by Google Scholar
