Gilberto Rivera

Gilberto Rivera received his Ph.D. in Computer Science (in 2015) from the Tecnológico Nacional de México (National Institute of Technology of Mexico). The Mexican Society for Artificial Intelligence (SMIA) recognized his doctoral research as the best one of the Ph.D. dissertations on Artificial Intelligence in 2015. He is currently a full-time professor of Computer Engineering at the Universidad Autónoma of Ciudad Juárez. Besides, he is a member of the Mexican National System of Researchers (SNI) since 2016. His primary interests are in the areas of multi-criteria optimization, applied soft computing, logistics, and swarm intelligence.

Publications

Handbook of Research on Natural Language Processing and Smart Service Systems
Handbook of Research on Natural Language Processing and Smart Service Systems
Rodolfo Abraham Pazos-Rangel, Rogelio Florencia-Juarez, Mario Andrés Paredes-Valverde, Gilberto Rivera. © 2021. 554 pages.
Natural language processing (NLP) is a branch of artificial intelligence that has emerged as a prevalent method of practice for a sizeable amount of companies. NLP enables...
Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities
Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities
Alberto Ochoa Ortiz-Zezzatti, Gilberto Rivera, Claudia Gómez-Santillán, Benito Sánchez–Lara. © 2019. 498 pages.
Building accurate algorithms for the optimization of picking orders is a difficult task, especially when one considers the delays of real-world situations. In warehouse...
Application of the Order-Picking and Self-Organizing Maps Models to Optimize the Supply Chain: A Review of the Literature
Application of the Order-Picking and Self-Organizing Maps Models to Optimize the Supply Chain: A Review of the Literature
Irving López-Santos, Gilberto Rivera, Saúl González. © 2019. 22 pages.
At present, the management systems of companies and Industry 4.0 are closely linked. However, technologies that promise to drastically help the efficiency of operations are not...