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.
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.
Docugami Inc., is a new AI Document Engineering startup in the Seattle area, WA.
We use AI to transform the unique document business processes of individual companies, making frontline users more efficient while giving COOs better compliance and insights.
Inria Chile International Lab, Inria, Paris, France, expatriated to Santiago de Chile, Chile.
TAU project-team, Inria-Saclay, Paris, France
Institute of Computing, Universidade Federal Fluminense, Rio de Janeiro, Brazil.
Co-head of Group of Research on Intelligence and Optimization (RIO Group)
Dept. of Electrical Engineering, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, Brazil.
ELUCID: Electronic Local but Universal Computer Intrusion Detection System
INRIA/Saclay and ThereSIS, Thales Communications & Security, funded by BPI France
Research on Ambient Intelligence
Funded by the National Council for Scientific and Technological Development (CNPq) - Science without Borders Special Visiting Researcher Program
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
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)
ADD SUB III: Spatial reasoning and hybrid metaheuristic optimization for offshore oil extraction field configuration
ADDLabs (UFF) and Petrobras
ADD SMS: Applying data mining and optimization to discover non-evident causes of petroleum industry accidents
ADDLabs (UFF) and Petrobras
Addressing Current Challenges in Evolutionary Multi-Objective Optimization
funded by German Research Foundation (DFG), involving PUC-Rio, TU Dortmund and University of Münster
ADD CIM-TBM: Adaptive supervision, visualization and fault forecasting of oil platform turbomachinery
ADDLabs (UFF) and Petrobras (6000.0026842.06.2)
www.opinator.com: A multi-channel customer opinion gathering and mining platform
Innology Ventures
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)
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)
CONTEXTS: Concepts and technologies for the development of contextual services
Universidad Carlos III de Madrid (S2009/TIC–1485)
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)