Falcón-Cardona, Jesús Guillermo

Jesús Guillermo Falcón-Cardona received the bachelor's degree in telematics engineering from Instituto Politécnico Nacional (IPN), Mexico, in 2014. Furthermore, he received the MSc. And Ph.D. in computer science from CINVESTAV-IPN, Mexico, in 2016 and 2020, respectively. Dr. Falcón was a visiting professor at Universidad Autónoma Metropolitana Unidad Cuajimalpa from 2020 to 2021 and he is currently a research professor at Tecnológico de Monterrey, Campus Monterrey and he is also a core member of the Research Group in Advanced Artificial Intelligence. Due to his research, Dr. Falcón has published several national and international conference papers and journal papers. In several times, his research has been nominated to different awards in the field of evolutionary multi-objective optimization. Recently, he was distinguished as the winner of the "José Negrete" award to the best PhD thesis in artificial intelligence in Mexico. Additionally, he was one of the winners of the VII Latin American Doctoral Thesis Contest at the XLVII Latin American Informatics Conference. Moreover, in 2014, he was distinguished as the best national student of telematics engineering by the ANFEI, and, in 2018, he was awarded financial support by the IEEE Computational Intelligence Society to conduct research at the Leiden Institute of Advanced Computer Science. Dr. Falcón is passionate about doing research on bio-inspired metaheuristics to solve single- and multi-objective optimization problems. He is a specialist in designing indicator-based multi-objective evolutionary algorithms. Furthermore, he is recently interested in studying how to employ physics concepts to design new evolutionary algorithms, where one important direction is the discretization of manifolds. Another research field that Dr. Falcón studies is the symbiosis between machine learning techniques and evolutionary algorithms to improve the performance of both kinds of techniques.

Jesús Guillermo Falcón-Cardona received the bachelor’s degree in telematics engineering from Instituto Politécnico Nacional (IPN), Mexico, in 2014. Furthermore, he received the MSc. And Ph.D. in computer science from CINVESTAV-IPN, Mexico, in 2016 and 2020, respectively. Dr. Falcón was a visiting professor at Universidad Autónoma Metropolitana Unidad Cuajimalpa from 2020 to 2021 and he is currently a research professor at Tecnológico de Monterrey, Campus Monterrey and he is also a core member of the Research Group in Advanced Artificial Intelligence. Due to his research, Dr. Falcón has published several national and international conference papers and journal papers. In several times, his research has been nominated to different awards in the field of evolutionary multi-objective optimization. Recently, he was distinguished as the winner of the “José Negrete” award to the best PhD thesis in artificial intelligence in Mexico. Additionally, he was one of the winners of the VII Latin American Doctoral Thesis Contest at the XLVII Latin American Informatics Conference. Moreover, in 2014, he was distinguished as the best national student of telematics engineering by the ANFEI, and, in 2018, he was awarded financial support by the IEEE Computational Intelligence Society to conduct research at the Leiden Institute of Advanced Computer Science. Dr. Falcón is passionate about doing research on bio-inspired metaheuristics to solve single- and multi-objective optimization problems. He is a specialist in designing indicator-based multi-objective evolutionary algorithms. Furthermore, he is recently interested in studying how to employ physics concepts to design new evolutionary algorithms, where one important direction is the discretization of manifolds. Another research field that Dr. Falcón studies is the symbiosis between machine learning techniques and evolutionary algorithms to improve the performance of both kinds of techniques.

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