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

  1. 1 2 "Women at GECCO", GECCO 2020, retrieved 2022-12-05
  2. ↑ "Adriana Lara", IEEE Xplore, IEEE, retrieved 2022-12-05
  3. ↑ "PhD Defense of Adriana Lara López", Evolutionary Computation Group at CINVESTAV (EVOCINV), CINVESTAV, retrieved 2022-12-05
  4. ↑ "Adriana Lara", ORCiD, retrieved 2022-12-05
  5. ↑ Mathematics section members (PDF), Mexican Academy of Sciences, 2022, retrieved 2022-12-05
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