Cosijopii Garcia-Garcia
IEEE Student Member, IEEE CIS Member and Member of the Mexico-France Research Network (MUFRAMEX)
9211 office number
Luis Enrique Erro \#1
Sta María Tonanzintla, 72840 San Andrés Cholula, Pue.
Cosijopii Garcia Garcia is a researcher in the field of Evolutionary Computation. He is currently pursuing a PhD at INAOE, where his research focuses on Multi-Objective Optimization Problems (MOPs) and Multi-Objective Neural Architecture Search (NAS), as well as Cellular approaches for parallelized Genetic Algorithms in MOPs.
Cosijopii has experience in using optimization techniques such as Genetic Algorithms (GA), Genetic Programming (GP), Cartesian Genetic Programming (CGP), and Differential Evolution (DE), as well as metaheuristics like Particle Swarm Optimization (PSO) to solve complex problems.
He also possesses a strong background in Machine Learning (ML) and Deep Learning, which enables him to apply these techniques to solve real-world problems in a variety of domains. Cosijopii’s research interests include constrained optimization, multi-objective optimization, and optimization in machine learning. He has published several papers in top-tier conferences and journals.
news
Oct 5, 2024 | Our Paper titled: Speeding up the Multi-Objective NAS Through Incremental Learning , Will be presented in the 23rd Mexican International Conference on Artificial Intelligence 21-25 October 2024, in INAOE, Puebla, Mexico. |
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Apr 4, 2024 | Our Paper titled: Progressive Self-supervised Multi-objective NAS for Image Classification , was presented at the evostar conference in Aberystwyth, Wales, United Kingdom 3-5 April 2024 |
Oct 2, 2023 | Announcing our latest research paper: “Continuous Cartesian Genetic Programming for Multi-objective Neural Architecture Search |
Jun 20, 2023 | Our Poster will be presented in the CVPR LatinX IA Worshop. |