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Luis Martí Orosa

Director Científico

Inria Chile

Santiago de Chile, Chile

Líneas de Investigación


Machine learning, deep learning, estimation of distribution algorithms, representation learning, semi-supervised learning, nature-inspired computing, evolutionary computing, evol. multi-objective optimization, genetic programming, etc.

Educación

  •  Inteligencia Artificial, UNIVERSIDAD CARLOS III DE MADRID. España, 2011
  •  Computer Science, UNIVERSIDAD DE LA HABANA. Cuba, 1998
  •  Inteligencia Artificial, UNIVERSIDAD CARLOS III DE MADRID. España, 2007

Experiencia Académica

  •   Profesor ayudante Full Time

    UNIVERSIDAD CARLOS III DE MADRID

    Madrid, España

    2007 - 2012

  •   Profesor Instructor Full Time

    UNIVERSIDAD DE LA HABANA

    Matemáticas y Computación

    La Habana, Cuba

    1999 - 2005

  •   Young Talent of Science Fellow Full Time

    PONTIFICIA UNIVERSIDADE CATOLICA DE RIO DE JANEIRO

    Ingeniería Eléctrica

    Brasil

    2013 - 2015

  •   Profesor Adjunto Full Time

    UNIVERSIDADE FEDERAL FLUMINENSE

    Instituto de Computação

    Brasil

    2015 - 2019

  •   Junior Researcher Full Time

    Universidad de La Habana

    La Habana, Cuba

    1998 - 1999

  •   Senior Research Fellow Full Time

    Universidade Federal Fluminense (UFF)

    Rio de Janeiro, Brasil

    2012 - 2015

Experiencia Profesional

  •   Senior Researcher Full Time

    Inria

    Paris, Francia

    2015 - 2018

  •   Director Científico Full Time

    Inria Chile

    Santiago, Chile

    2019 - A la fecha

  •   Young Talent of Science Fellow Full Time

    PONTIFICIA UNIVERSIDADE CATOLICA DE RIO DE JANEIRO

    Rio de Janeiro, Brasil

    2013 - 2015

  •   Head Research Scientist Full Time

    Innology Ventures — opinator.com

    Madrid, España

    2012 - 2013

  •   Associate Research Fellow Full Time

    Institut National de Recherche en Informatique et en Automatique (INRIA) & Universite? de Paris-Saclay

    Paris, Francia

    2015 - 2018

  •   Postdoctoral Research Fellow Full Time

    Fakulta?t fu?r Informatik, Tech- nische Universita?t Dortmund

    Dortmund, Alemania

    2012 - 2012

Formación de Capital Humano


Universidade Federal Flumenense
POSTGRADO
Machine Learning
GRADO
Computer Science
Artificial Intelligence
Introduction to Programming, Data Structures and Algorithms

Pontificia Universidade Cato?lica do Rio de Janeiro
POSTGRADO
PhD Program on Electrical Engineering
Advanced Evolutionary and Stochastic Algorithms

Universidad Carlos III de Madrid
POSTGRADO
Master interuniversitario en Intelligence Analyst (UC3M y URJC; http://www. masteranalistadeinteligencia.com/)
Data Mining and Information Extraction
Master enLibraries and Digital Information Services and Knowledge Management
Master en Information and Documentation
Knowledge Management
GRADO
Ingeniería en Computación
Uncertainty Reasoning
Artificial Intelligence in Organizations
Data Mining
Knowledge Engineering
Theory of Computer Science I and II
Turismo
Computer Science Applied to the Touristic Sector Business Management and Administration
Management Computer Science

Universidad de La Habana
GRADO
Computer Science
Introduction to Logic
Simulation and Modeling and Computer Networks
Artificial Intelligence

Supervisión de Estudiantes y Tutorías
Universidade Federal Fluminense
Marinho, Wemerson (2018) Word101 - A Compact Encoding of Words using Character-Level Information applied to Convolutional Neural Network Text Classification. Master thesis.
Cinalli, Daniel (March 2017) Multiobjective optimization for data pre-processing and feature selection. PhD thesis. http://lattes.cnpq.br/3485118556641412
Boden, Lucas (2017) Applying deep learning for self-driving cars. BSc. thesis. In progress
Ferreira de Moraes, Roge?rio (in progress) Deep reinforcement learning for natural language processing. PhD Thesis.
Campos, Rodrigo (in progress) Stopping criteria for multi-objective optimization. Master thesis.

Pontificia Universidade Católica do Rio de Janeiro
Revelo Apraez, Cesar David (July 2016) Abordagem Hi?brida Neuro-Evolucina?ria para Ponderac?a?o Dina?mica de Previsores — A hybrid neuro-evolutionary approach for the dynamical weighting of predictors. Master thesis.

Universidad Carlos III de Madrid
Bona, Ignacio (2009) Programacio?n gene?tica aplicada a la resolucio?n del cubo de Rubik. Proyecto de Fin de Carrera (equiv. BSc thesis) http://hdl.handle.net/10016/7645.
Beloki, Julen (2009) GrammaTEX: Corrector gramatical para documentos LATEX. Proyecto de Fin de Carrera (equiv. BSc thesis) http://e-archivo.uc3m.es/handle/10016/7523.

REVISOR DE ARTICULOS EN REVISTAS
Journal of Multi-Criteria Decision Analysis
IEEE Transactions on Evolutionary Computation
Neurocomputing
IEEE Transactions on Systems, Man and Cybernetics — Part B: Cybernetics
Computational Optimization and Applications
ISRN Artificial Intelligence
Information Sciences
Future Generation Computer Systems
Journal of Sensors
IEEE Transactions on Industrial Informatics
IEEE Systems Journal
IEEE Computational Intelligence Magazine
Sensors
International Transactions in Operational Research
Applied Soft Computing
International Journal of Data Mining and Bioinformatics
Journal of Global Optimization
Journal of Industrial and Management Optimization
Engineering Optimization
Applied Computing and Informatics
IEEE Transactions on Cognitive and Developmental Systems
Entropy
Telecommunication Computing Electron- ics and Control
Safety Science
Combinatorial Chemistry & High Through-put Screening

PARTE DEL COMITE DE PROGRAMA DE CONFERENCIAS
2016 IEEE Latin American Conference on Computational Intelligence (IEEE LA-CCI).
2014 Ibero-American Conference on Artificial Intelligence (IBERAMIA).
2014 - Actual Workshop on Intelligent Systems for Context-based Information Fusion, http://www.paams. net/iscif.
2012 - Actual EVOLVE — A bridge between Probability, Set Oriented Numerics and Evolutionary Computation.
2012 - Actual Mexican International Conference on Artificial Intelligence.
2010 - Actual IEEE Congress on Evolutionary Computation (CEC).
2010 Simulated Evolution And Learning (SEAL).
2009 - Actual International Work Conference on Neural Networks (IWANN).
2008 - Actual Genetic and Evolutionary Computation Conference (GECCO).
2008 - Actual International Florida Artificial Intelligence Research Society (FLAIRS) Conferences; Data Min- ing Special Track.
2003 - 2006 International Florida Artificial Intelligence Research Society (FLAIRS) Conferences; Neural Networks Track.


Difusión y Transferencia


TUTORIALES, CONFERENCIAS Y SEMINARIOS
2019 MEMS-LATAM (Microsystems for Latin America). School organized with Université Grenoble Apes, IMEP-LAHC, Leti CEA Tech and Universidad Técnica Federico Santa María.
2020 Uso del Scikit-learn. Formación de los integrantes del Dpto de la Gerencia de Datos del Servicio Nacional de Minería y Geología de Chile.
2020 CIPTEMIN Sesión 2 - Inteligencia Artificial con scikit-learn para CIPTEMIN.
2020 Machine Learning with scikit-learn. Inria Academy sesion organized for the Trophée Startup 2020 finalists in the framework of the Inria Chile Startup Studio https://inria.cl/es/trophee-startup-conoce-las-5-startups-finalistas 
2017 IEEE Conference on Evolutionary Computation (IEEE CEC’2017), Applying Stopping Criteria in Evolutionary Multi-Objective Optimization, San Sebastian, Spain. http://www.cec2017.org/#tutorials; http://lmarti.com/stopping
2016 6a Escola Luso-Brasileira de Computac?a?o Evolutiva, Many-Objective Optimization with Evolutionary Algorithms, Universidade do Minho, Guimara?es, Portugal. http://www.dep.uminho.pt/EscolaEAs2016/
2015 IEEE Conference on Evolutionary Computation (IEEE CEC’2015), Tutorial on Convergence Detection and Stopping Criteria for Evolutionary Multi-Objective Optimization, Sendai, Japan. http://sites.ieee.org/cec2015/tutorials/; http://lmarti.com/stopping
2015 Dagstuhl Seminar on Understanding Complexity in Multiobjective Optimization, Seminar 15031, January 2015, Schloss Dagstuhl — Leibniz-Zentrum fu?r Informatik, Dagstuhl, Germany. http://www.dagstuhl.de/de/programm/kalender/semhp/?semnr=15031
2014 5a Escola Luso-Brasileira de Computac?a?o Evolutiva, Multi-objective Estimation of Distribution Algorithms, Laborato?rio Nacional de Computac?a?o Cienti?fica (LNCC), Petro?polis, Brazil. http://www.lncc.br/eventoSeminario/eventoconsultar.php?vMenu=5&idt_evento=1263
2010 Invited speaker at the 9th Workshop on Quality Improvement Methods, Tutorial on EMO Stopping Criteria: Detecting Stagnation in Multi-Objective Optimization, Universita?tskolleg Bommerholz — T.U. Dortmund, Dortmund, Germany.
2009 Dagstuhl Seminar on Hybrid and Robust Approaches to Multiobjective Optimization, Seminar 09041, January 2009, Schloss Dagstuhl — Leibniz-Zentrum fu?r Informatik, Dagstuhl, Germany. http://www.dagstuhl.de/en/programm/kalender/semhp/?semnr=09041
2004 4th Cuban-Canadian Meeting on Data Structures and Algorithms, Universidad de La Habana, La Habana, Cuba.
2003 3rd Cuban-Canadian Meeting on Data Structures and Algorithms, Universidad de La Habana, Havana, Cuba.
2002 Italo-Cuban School of Bioinformatics, Universidad de La Habana, Havana, Cuba. Sponsored by UNESCO, the Italian Foreign Ministry and the Universidad de La Habana.
2001 Distributed systems programming with Java technology, Sun Microsystems Educational Services, Toronto, Canada.
1999 School on Theory and Applications of Programming, Universidad de La Habana, Havana, Cuba. Sponsored by UNESCO, the Italian Foreign Ministry and the Universidad de La Habana.
1998 Advanced Programming School, Universidad de La Habana, Havana, Cuba. Sponsored by UNESCO, the Italian Foreign Ministry and the Universidad de La Habana.

SERVICIOS PÚBLICOS, VOCACIONALES Y NO CURRICULARES
2008-2011 Un viaje a la informática a través del cine, curso de verano abierto (público general) de la UC3M en el que se explican los principales temas de la informática utilizando películas como leit motiv y example, Madrid, España.
2008 "Curso Cero" sobre el uso de Linux, cursos de la UC3M para estudiantes no ingenieros para que se acostumbren a usar Linux y otro software de código abierto en sus actividades académicas, Madrid, España.
2007-2011 Talleres de Ingeniería Profesional de la UC3M, charlas en institutos de la zona de Madrid para motivar a los estudiantes a involucrarse y estudiar carreras de ingeniería, Madrid, España.
2002 Una breve historia de la computación y la inteligencia artificial en Cuba, charla invitada en la Sección Stu- diana del IEEE de la Universidad de Málaga, Málaga, España.

PRESIDENTE EN EVENTOS ACADÉMICOS
2017 General chair, XIII Brazilian Congress on Computational Intelligence (CBIC 2017), UFF–UERJ, Nitero?i (RJ) Brazil. http://cbic2017.org
WORKSHOPS
2018 Workshop organizer, 2018 Workshop on Intelligent Operations of the Energy Sector, Held in conjunction with GECCO 2018, Kyoto, Japan. https://iomes2018.github.io
2016 Workshop organizer, Second Workshop on Advances in Evolutionary Computation, FMC/Univ. of Havana, La Habana, Cuba. http://lmarti.com/waec2016/
2014 Workshop organizer, First Workshop on Advances in Evolutionary Computation, DEE/PUC- Rio, Rio de Janeiro, Brazil. http://lmarti.com/waec2014/
2010 Workshop organizer, Designing Evolutionary Processes (S133), IEEE Conference on Evolutionary Computation, part of IEEE World Congress on Computational Intelligence, Barcelona, Spain. http://www.giaa.inf.uc3m.es/miembros/lmarti/dep-wcci-2010
2008 Session chair, Estimation of Distribution Algorithms Track, 2008 IEEE Congress on Evolutionary Computation (CEC’08), Hong Kong, China.

MIEMBRO DE SOCIEDADES
Association for Computing Machinery (ACM); Special Interest Group on Evolutionary Computation (ACM SIGEVO).
Institute of Electric and Electronic Engineers (IEEE); Computational Intelligence Society (CIS).
International Neural Networks Society (INNS).
Neural-Symbolic Learning and Reasoning Association (NeSy).
Foundation for Open Access Statistics (FOAS).

IDIOMAS
Español Lengua materna
Inglés Fluido
Portugués Fluido
Italiano Fluido
Francés Básico


Premios y Distinciones

  •   CNPq Research Merit Fellowship (Bolsa de Produtividade em Pesquisa – PQ2)

    competitive fellowship among all rCNPQ Fellowship programesearchers in Brazil

    Brasil, 2012

    Laboratorio de Documentación Activa y Diseño Inteligente (ADD- Labs), Instituto de Lógica, Filosofía y Teoría de la Ciencia (ILTC) y Universidade Federal Fluminense (UFF), Río de Janeiro, Brasil

  •   CNPq Young Talent Fellowship (Bolsa de Produtividade em Pesquisa – PQ2)

    competitive fellowship among all rCNPQ Fellowship programesearchers in Brazil

    Brasil, 2013

    CNPq Young Talent of Science Fellowship (competitive fellowship for attracting foreign talents to Brazil).

  •   GECCO 2017 best paper award

    GECCO 2017

    Alemania, 2017

    Luis Martí (INRIA/Saclay and Universidade Federal Fluminense), Arsene Fansi-Tchango (Thales Research), Laurent Navarro (Thales Research), Marc Schoenauer (INRIA/Saclay) Progressively Adding Objectives: A Case Study in Anomaly Detection

  •   UC3M merit-based grant for pre-doctoral academic exchanges

    UNIVERSIDAD CARLOS III DE MADRID

    España

    Viaje a CINVESTAV México

  •   GECCO 2008

    GECCO 2008

    Estados Unidos, 2008

    best paper award nominee in the EMO track (see publications). ACM SIGEVO student travel grant for attending GECCO 2008

  •   IEEE Student Travel Grants

    IEEE

    Estados Unidos, 2010

    IEEE Student Travel Grants IJCNN’07, CEC’09 and WCCI’10

  •   Mejor Graduado en Investigación

    Universidad de La Habana

    Cuba, 1998

    Mejor graduado de 1998 en el área de investigación. Facultad de Matemáticas y Ciencias de la Computación. Universidad de La Habana. Cuba.

  •   Trabajos de Investigación

    Universidad de La Habana

    Cuba, 1998

    Trabajos más relevantes en el área de investigación "Informática". Instituto de Materiales y Reactivos. Universidad de La Habana. Cuba.

  •   Mejor Profesor

    UNIVERSIDAD DE LA HABANA

    Cuba, 2000

    Mejor profesor del curso 1999-2000. Facultad de Matemáticas y Ciencias de la Computación. Universidad de La Habana. Cuba.

  •   Mejor resultado de Investigación

    Universidad de La Habana

    Cuba

    Mejor resultado en el área de investigación "Estudios Fundamentales de Ciencias y Humanidades". Facultad de Matemáticas y Ciencias de la Computación. Universidad de La Habana. Cuba.


 

Article (29)

Collective intelligence approaches in interactive evolutionary multi-objective optimization
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case
Applying VorEAl for IoT Intrusion Detection
Collective Intelligence Approaches in the Interactive Evolutionary Multi-Objective Optimization
Implementation of a RVND, VNS, ILS heuristic for the Traveling Car Renter Problem
Selection methods and diversity preservation in many-objective evolutionary algorithms
Crow-Based Ambient Assisted Living to Monitor the Elderly's Health Outdoors.
Crowd-Based Ambient Assisted Living to Monitor the Elderly’s Health Outdoors
Impact of selection methods on the diversity of many-objective Pareto set approximations
On the combination of support vector machines and segmentation algorithms for anomaly detection: A petroleum industry comparative study
A Data Fusion Model for Ambient Assisted Living
Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm
Bio-Inspired Algorithms and Preferences for Multi-objective Problems
Evolutionary algorithms and elliptical copulas applied to Continuous optimization problems
Improving ontology-based text classification: An occupational health and security application
Information Fusion for Improving Decision-Making in Big Data Applications
MONEDA: scalable multi-objective optimization with a neural network-based estimation of distribution algorithm
SMS-EDA-MEC: Extending Copula-based EDAs to Multi-Objective Optimization
VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System
Anomaly Detection Based on Sensor Data in Petroleum Industry Applications
Collective Preferences in Evolutionary Multi-Objective Optimization: Techniques and Potential Contributions of Collective Intelligence
Contextual Pattern Discovery in Ambient Intelligent Application.
Ontology Definition and Cognitive Analysis in Ocupational Health and Security (OHS) Environments
Using Collective Intelligence to Support Multi-Objective Decisions: collaborative and online preferences
Combining Support Vector Machines and Segmentation Algorithms for Efficient Anomaly Detection: A Petroleum Industry Application
Understanding the Treatment of Outliers in Multi-Objective Estimation of Distribution Algorithms
Multi-objective optimization with an adaptive resonance theory-based estimation of distribution algorithm
MB-GNG: Addressing drawbacks in multi-objective optimization estimation of distribution algorithms
A Stopping Criterion for Multi-Objective Optimization Evolutionary Algorithms

BookSection (10)

Evolutionary Multi-Objective System Design: Theory and Applications
Hybrid Multi-Objective Evolutionary Algorithms with Collective Intelligence. In N. Nedjah, L. De Macedo Mourelle, & H. Silverio Lopes (Eds.), Evo- lutionary Multi-Objective System Design: Theory and Applications (pp. 51–68). CRC Press.
Information Fusion for Improving Decision- Making in Big Data Applications.
Resource Management for Big Data Platforms: Algorithms, Modelling, and High-Performance Computing Techniques
Multi-Objective Optimization with an Adaptive Resonance Theory-Based Estimation of Distribution Algorithm: A Comparative Study.
Handbook of Research on Nature- inspired Computing for Economics and Management
Multi-objective Optimization Evolutionary Algorithms in Insurance Linked Derivatives.
Hybrid Adaptive Resonance Theory neural networks for function approximation.
Modelos Neuro difusos Híbridos Basados en la Teoría de Resonancia Adaptativa.
A Comparative Study. In C. A. Coello Coello (Ed.), Learning and Intelligent Optimization

BookWhole (6)

Fundamentos de Programación (Grado Superior)
Guía Didáctica: Programación en Lenguajes Estructurados (Grado Superior).
Guía Didáctica: Fundamentos de Programación (Grado Superior)
Programación en Lenguajes Estructurados (Grado Superior).
Programación en Lenguajes Estructurados (Grado Superior)
Fundamentos de Programación (Grado Superior).

ConferencePaper (52)

Artificial Intelligence, Machine Learning and Modeling for Understanding the Oceans and Climate Change
Extending Collective Intelligence Evolutionary Algorithms: A Facility Location Problem Application.
Predicting Mining Industry Accidents with a Multi-Task Learning Approach.
A Compact Encoding for Efficient Character-level Deep Text Classification
Bio-inspired Approaches to Anomaly and Intrusion Detection
CrudeOilRefinery Scheduling: Addressing a Real-world Multiobjective Problem Through Genetic Programming and Dominance-based Approaches
Multiobjective Evolutionary Polygonal Approximation for Identifying Crude Oil Reservoirs. In Proceedings of the Genetic and Evolutionary Computation
Progressively Adding Objectives: A Case Study in Anomaly Detection
SMS-EDA-MEC: Extending Copula-based EDAs to Multi-Objective Optimization.
Preference-based Interactive MOEA on Continuous Problem of Facility Location
Review of Student Proficiency Modeling Techniques for use in Intelligent Tutoring Systems
SMS-EDA-MEC: Extending Copula-based EDAs to Multi-Objective Optimization.
Big Data Visualization for Occupational Health and Security Problem in Oil and Gas Industry.
Averaged Hausdorff Approximations of Pareto Fronts Based on Multiobjective Estimation of Distribution Algorithms.
BigData Visualization for Occupational Health and Security Problem in Oil and Gas Industry
Collaborative Preferences in Multi-Objective Evolutionary Algorithms.
Computational Complexity (WG2).
Integrating collective intelligence into evolutionary multi-objective algorithms
An information fusion framework for context-based accidents prevention
An information fusion framework for context-based accidents prevention.
High-Level Information Fusion for Risk and Accidents Prevention in Pervasive Oil Industry Environments
Text Classification Techniques in Oil Industry Applications
Text Classification Techniques in Oil Industry Applications.
YASA: Yet Another Time Series Segmentation Algorithm for Anomaly Detection in Big Data Problems.
Information Extraction Techniques for Health, Safety and Environment Applications in Oil Industry.
A Comparative Study of Scalability with Respect to Decision Space Dimensions.
A Taxonomy of Online Stopping Criteria for Multi- Objective Evolutionary Algorithms.
Indicator-based MONEDA: A Comparative Study of Scalability with Respect to Decision Space Dimensions.
A Progress Indicator for Detecting Success and Failure in Evolutionary Multi–Objective Optimization.
Advancing Model-Building for Many-Objective Optimization Estimation of Distribution Algorithms
Introducing a Robust and Efficient Stopping Criterion for MOEAs.
Introducing a Robust and EfficientStopping Criterion for MOEAs.
Moving away from error-based learning in multi-objective estimation of distribution algorithms.
AStoppingCriterionBased on Kalman Estimation Techniques with Several Progress Indicators.
On the influence of outliers on the loss of population diversity of multi–objective estimation of distribution algorithms.
On the Model-Building Issue of Multi- Objective Estimation of Distribution Algorithms
Solving Complex High-Dimensional Problems with the Multi-Objective Neural Estimation of Distribution Algorithm.
Working Group on EMO for Interactive Multiobjective Optimization (1st Round).
Scalable Multiobjective Optimization with a Neural Estimation of Distribution Algorithm.
Model-Building Algorithms for Multiob- jective EDAs: Directions for Improvement.
A Cumulative Evidential Stopping Criterion for Multiobjective Optimization Evolutionary Algorithms.
A Hybrid Neural System based on Adaptive Resonance Theory and Representational Redescription capable of Variable Binding.
A Hybrid ART Neuro–fuzzy Architecture with Variable Binding.
Redes ART híbridas para la predicción de series de tiempo.
AppART + Growing Neural Gas = High Performance Hybrid Neural Network for Function Approximation.
Artificial Neural Networks in Analytical Chemistry.
Advancing Model-Building for Many- Objective Optimization Estimation of Distribution Algorithms.
An ART Hybrid Stable Learning Neural Network for Universal Function Approximation
How Machine Learning Could Detect Anomalies on thinger.io Platform?
HowMachineLearningCouldDetectAnomalies on thinger.io Platform?
On the Computational Properties of the Multi–objective Neural Estimation of Distribution Algorithms.
Scalable Continuous Multiobjective Optimization with a Neural Network–Based Estimation of Distribution Algorithm.

Proyecto (66)

FairTrees
Interoperable repository for intelligent analysis of medical images
AirWARD
EMISTRAL: An Environmental Monitoring and Inspection Sailboat via Transfer, Reinforcement and Autonomous Learning
Ficzine
Green AI: Towards an ecologically viable machine learning
OceanIA: Artificial Intelligence and Modeling for understanding Oceans and Climate Change
Interoperable Information Repositories for datamining in Health
FrostForecast: IoT and Machine Learning for Frost Prediction in Cherries
Proyecto Cero Accidentes
GENOBIA-CM Project 
LSST Operators Visualization Environment. Phase 1 & phase 2. 
Tranque: Mining tailings monitoring system
Alarm Integration System for ALMA Observatory 
Interagindo com o Futuro: Desenvolvimento de Novos Modelos Inteligentes baseados em IoT e AmI
Modelos de Fusão de Dados para Ambient Assisted Living
UTMOST Project, Gestión de Trafico Aéreo de Aeronaves no Tripuladas y Tecnologías de Soporte a la Operación
ADDCement, Applying deep neural networks for analyzing the quality of petroleum well casings
Otimização Multi-objetivo com Algoritmos Evolucionários: Novas Abordagens e Aplicações
Context models for data fusion in the ambient intelligence domain
ELUCID, Electronic Local but Universal Computer Intrusion Detection System
Modelos de Ambient Assisted Living para Assistencia a Idosos no Brasil Addressing Current Challenges in Evolutionary Multi-Objective Optimization
Modelos de Contexto para Fusão de Datos em Dominios de Inteligencia Ambiental.
DDCont, Data mining for optimization of the outsourcing process in large-scale engineer- ing projects to increase reliability and avoid over-litigation
Research on Ambient Intelligence
InnEMO, Innovation in Evolutionary Multi-Objective Optimization: Novel Approaches and Applications, 407851/2012-7, National Council for Scientific and Technological Development (CNPq)
www.opinator.com, A multi-channel customer opinion gathering and mining web platform,
Adaptable fusion based on context: Advanced systems for surveillance, air traffic control and navigation
ADD CIMTBM, adaptive supervision, visualization and fault forecasting of oil platform turbomachines
ADD SMS, applying data mining and optimization to discover non-evident causes of petroleum industry accidents,
ADD SUB III, multi-objective optimization and geospatial reasoning decision support tool for the design of offshore petroleum extraction fields
Design and implementation of a multisensor data fusion system
Engineering, configuration and adaptation of the Jasper suite for DMSC/DSN
Knowledge management for the improvement of the administrative and management pro- cesses of the Spanish university system
serMEDIABLE, electronic service for accesible mediation
SOPE, service for orientation and planning for investors
ATLANTIDA, applying state of the art technology in unmanned aerial aircraft and air traffic management development
DONDE, innovative location and intelligent video processing platform
SIGINT data fusion process design and implementation,
CONTEXTS, concepts and technologies for the development of contextual services
ANADISC, analysis of a electronic sensing and decision system for equality, non- discrimination and universal access for persons with disabilities
ENERGOS, technologies for the automated and intelligent management of future energy distribution networks
Evaluation of game actions and performance in team sports using artificial intelligence
Future wireless communication technologies for railway transportation safety.
Scoring actions in team-based sport games using artificial intelligence
Surveillance, navigation and detection technologies: Conflict resolution for the future European air traffic management systems — CNS/ATM
INTEGRA, research on technologies for the management of migration
LOCATIL, sensor fusion and reasoning techniques for services based in location and context: An application to ambient-assisted living
Mining air traffic data using artificial intelligence methods
SEDUCE, system for the detection of explosives in infrastructures and public facilities
AENA-EUROCONTROL air traffic planning tool (machine learning module)
Analysis of the academic results in the Universidad Carlos III de Madrid: Proposing criteria and measures for dealing with student underperformance.
DISIS-MA, design of security systems based on multi-agent architectures.
INFUSA, integration of methods of data fusion and interpretation for the development of services based on the estimation of activities in intelligent spaces.
Proyecto de I+D+i para el desarrollo de un sistema avanzado de localización basado en SUPL y algoritmos que minimicen el consumo de servicios de red.
TIMI, intelligent multimodal goods transportation.
AUTOPIA, towards the autonomy people with disabilities and dependent elders by means of Ambient Intelligence.
Datman Paper, a web-based journal reader with an augmented information supplier and its corresponding kiosk web application,
MADRINET, multidisciplinary Advanced research in user-centric wireless network enabling technologies
SINPROB, intelligent systems applied to the protection of ships and port operations.
COLOCAME: Integration of communication, localization and intelligent service provision: Architecture for emergent mobile services
Web search query contextualization, automatic contextualization and results ranking of web searcher queries using a generalist ontology.
Prediction of the spatial structure of biological sequences, prediction of secondary and tertiary protein structure
Time-series prediction of financial data with long prediction horizon, prediction of credit card use and generation of users profile.
Financial time-series prediction with neural networks, an analysis tool for financial time- series prediction.
National computer network backbone supervision tool, large high-speed data communica- tion networks statistics extraction, simulation and behavior prediction.
163
Luis Martí

Director Científico

Inria Chile

Santiago de Chile, Chile

13
Nayat Sánchez

Directora

Inria Chile

Santiago, Chile

3
Jose Molina

Professor

Department of Computer Science and Engineering

Universidad Carlos III de Madrid

Madrid, España