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Machine Learning and Optimization

Algorithms, combinatorics and optimization

 Algorithms are the most fundamental concept in Computer Science. His study refers to basic theories such as Computational Complexity and Computability. On the other hand, the algorithm design, along with all its paradigms – sequential, parallel, distributed, randomized, approximate, quantum algorithms, among others – allows the computer to solve problems in the most diverse fields […] Continue reading →

Machine Learning

 Much of the progress in the task of extracting knowledge from data is obtained through research in machine learning. Two sub-areas of ML are of particular interest in this research project: (i) Deep Learning and (ii) Reinforcement Learning. Deep Learning encompasses a set of techniques created to simulate the behavior of the human brain in […] Continue reading →

Advanced computational methods

 The development of computational models to solve complex problems requires the use of methods from different computer science areas. This project envision the use of signal processing, computational intelligence, numerical methods and high performance computing to solve problems from the areas of transportation, telecommunications, health, geophysics, agriculture, internet of things, energy, intelligent cities. We seek […] Continue reading →