Three passions, simple but overwhelmingly strong, have governed my life: the longing for love, the search for knowledge, and unbearable pity for the suffering of mankind.

Bertrand Russell

About me

I am interested in artificial intelligence, and, in particular, machine learning, neural networks, evolutionary computation, optimization, machine learning,  fuzzy logic, hybrid systems and all that (see a full list of interests below).
Current status:

  • Chief Science Officer at Docugami, Inc., Seattle area, WA.

  • Directeur scientifique at Inria Chile, the Chilean Center of Inria, the French National Institute for Computational Sciences.

Before, I was a senior researcher the TAU team at Inria Saclay since 2015.  I was an Adjunct Professor (tenured) at the Institute of Computing of the Universidade Federal Fluminense. Previous to that, I was a CNPq Young Talent of Science Fellow at the Applied Robotics and Intelligence Lab of the Department of Electrical Engineering of the Pontifícia Universidade Católica do Rio de Janeiro, Brazil.

I did my Ph.D. at the Group of Applied Artificial Intelligence of the Department of Informatics of the Universidad Carlos III de Madrid, Madrid, Spain.

Recent positions

Main research topics

  • Deep learning
  • Evolutionary computation
  • Estimation of distribution algorithms
  • Machine learning
  • Artificial neural networks
  • Multi-objective optimization
  • EMO convergence/stopping criteria
  • Data fusion
  • Connectionism vs. symbolism
  • Multi-objective genetic programming
  • Combinatorial optimization
  • Logistics, aerospace and oil industries applications

Active Projects

This list is being updated.

  • 2015 2017

    ELUCID: Electronic Local but Universal Computer Intrusion Detection System

    INRIA/Saclay and ThereSIS, Thales Communications & Security, funded by BPI France

  • 2014 2017

    Research on Ambient Intelligence

    Funded by the National Council for Scientific and Technological Development (CNPq) - Science without Borders Special Visiting Researcher Program

  • 2014 2017

    ADD Cont: Data mining for optimization of the externalization process in large-scale engineering projects to increase reliability and avoid over-litigation

    ADDLabs (UFF) and Petrobras

  • 2013 2016

    InnEMO: Innovation in Evolutionary Multi-Objective Optimization: Novel Approaches and Applications

    Funded by the National Council for Scientific and Technological Development (CNPq) - Science without Borders Young Talents of Science Attraction Program (407851/2012-7)

  • 2012 2016

    ADD SUB III: Spatial reasoning and hybrid metaheuristic optimization for offshore oil extraction field configuration

    ADDLabs (UFF) and Petrobras

  • 2012 2016

    ADD SMS: Applying data mining and optimization to discover non-evident causes of petroleum industry accidents

    ADDLabs (UFF) and Petrobras

Past Projects

  • 2014 2015

    Addressing Current Challenges in Evolutionary Multi-Objective Optimization

    funded by German Research Foundation (DFG), involving PUC-Rio, TU Dortmund and University of Münster

  • 2012 2014

    ADD CIM-TBM: Adaptive supervision, visualization and fault forecasting of oil platform turbomachinery

    ADDLabs (UFF) and Petrobras (6000.0026842.06.2)

  • 2012 2013 A multi-channel customer opinion gathering and mining platform

    Innology Ventures

  • 2012 2014

    Adaptable fusion based on context: Advanced systems for surveillance, air traffic control and navigation

    Universidad Carlos III de Madrid and Spanish Ministry of Science and Innovation (2012/00092/001)

  • 2012 2012

    Knowledge management for the improvement of the administrative and management processes of the Spanish university system

    Universidad Carlos III de Madrid and Spanish Ministry of Education and Science (2012/00116/001)

  • 2010 2013

    CONTEXTS: Concepts and technologies for the development of contextual services

    Universidad Carlos III de Madrid (S2009/TIC–1485)

  • 2009 2011

    Surveillance, navigation and detection technologies: Conflict resolution for the future European air traffic management systems - CNS/ATM

    Universidad Carlos III de Madrid (TEC2008– 06732–C02–02)