Bachelor's degree in Computer Science from the Federal University of Ouro Preto - UFOP (2003), Ph.D. in Applied Computing from the National Institute for Space Research - INPE (2009). He was a postdoctoral fellow (FAPESP scholarship holder) at INPE in 2009 and a research fellow abroad (BPE/FAPESP) at the Faculty of Economics (FEP) of the University of Porto in 2017. He was a professor at São Paulo State University Júlio de Mesquita Filho (UNESP), Guaratinguetá campus, from September 2009 to January 2011. Since 2011, he has been a professor at the Federal University of São Paulo (UNIFESP), São José dos Campos campus (Institute of Science and Technology - ICT). He was coordinator of the Graduate Program in Operations Research (PPG-PO) in association between UNIFESP and ITA from 2018 to 2021. Currently, he is an Associate Professor III and coordinator of the Graduate and Research Council of ICT/UNIFESP. He has experience in the field of Operations Research, working mainly on the following topics: Heuristics and Metaheuristics, Combinatorial Optimization Problems, and Mathematical Formulations. (Source: Lattes Curriculum)
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The study of efficient metaheuristics to solve optimization problems has been the subject of much research by the scientific community. To obtain good results in terms of solution quality and computational time it is important to have a good configuration of the metaheuristic. This process of specifying control flow and parameter values of a method is a hard task. Thus, this project has a…
Over the last decades, studies concerning efficient metaheuristics has risen considerably among researchers in combinatorial optimization. Hybrid metaheuristics, in particular, has found the best results for many optimization problems. The main goal of this project is to develop and improve new alternatives for the hybrid Clustering Search method (CS), making it flexible, robust and effic…
Lot sizing and cutting-stock problems play an important role in several industrial sectors, such as furniture, paper, and metallurgical factories. The literature has shown better results when integrating both problems rather than dealing with them separately. These problems are NP-hard, so heuristic and metaheuristic approaches are interesting alternatives to finding good solutions in a r…
Hospital management is a hard task that requires solving different optimization problems. Among these problems we can cite the Patient Bed Assignment Problem (PBAP) and the Operating Room Scheduling Problem (ORSP). The PBAP consists of managing, in the best possible way, a set of beds with particular characteristics and assigning to them a set of patients with special requirements. The OR…
The study of DARP variants can contribute to the decision making of routing problems during the effects of COVID-19. People who need on-demand transportation need to be protected. In this way, requests must be met minimizing the time inside the vehicle, using reduced capacity, prioritizing that the vehicles have the minimum number of people together, etc. (AU)
The study of efficient metaheuristics to solve optimization problems has been the subject of much research by the scientific community. To obtain good results in terms of solution quality and computational time it is important to have a good configuration of the metaheuristic. This process of specifying control flow and parameter values of a method is a difficult task. Hence, this project…
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The study of efficient metaheuristics to solve optimization problems has been the subject of research by the scientific community. To find good results in terms of solutions of quality and computational time is important to define which parameter setting should be used. This process is often hard due to relation between the parameters, the best values for the parameters depend on the prob…
| 4 / 3 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 9 / 8 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 15 / 13 | All research grants and scholarships |
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CV Lattes
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