Nayat_new.png_thumb90

Nayat Sánchez Pi

Directora

Inria Chile

Santiago, Chile

Líneas de Investigación


Artificial Intelligence, Machine learning, Ambient intelligence, Context-based systems, Activity recognition, Surveillance systems, Sensor systems, Data fusion, Computational intelligence and Evolutionary computation

Educación

  •  Artificial Intelligence, Universidad Carlos III de Madrid. España, 2011
  •  Artificial Intelligence, Universidad Carlos III de Madrid. España, 2007
  •  Computer Science, Universidad de La Habana. Cuba, 2000

Experiencia Académica

  •   Ph.D. Scholarship Full Time

    Universidad Carlos III de Madrid

    Madrid, España

    2005 - 2007

  •   Assistant Professor Full Time

    Universidad Carlos III de Madrid

    Madrid, España

    2007 - 2012

  •   Visiting Researcher Full Time

    University College Dublin

    Dublin, Irlanda

    2009 - 2009

  •   Visiting Researcher Full Time

    Universidade de Lisboa

    Lisboa, Portugal

    2010 - 2010

  •   Postdoctoral Researcher Full Time

    Universidade Federal Flumienese (UFF)

    Niteroi, Rio de Janeiro, Brasil

    2011 - 2012

  •   Senior Researcher Full Time

    Instituto de Lógica Filosofia e Teoria da Ciência (ILTC)

    Niteroi, Rio de Janeiro, Brasil

    2012 - 2015

  •   Adjunct Professor (tenured) Full Time

    Universidade do Estado do Rio de Janeiro (UERJ)

    Rio de Janeiro, Brasil

    2015 - 2018

  •   Director Full Time

    Inria Research Center in Chile

    Santiago de Chile, Chile

    2018 - A la fecha

Experiencia Profesional

  •   Assistant Professor Full Time

    Computer Science Department, Universidad Carlos III de Madrid

    Madrid, España

    2007 - 2012

  •   Scientific Director Full Time

    Instituto de Lógica, Filosofia e Teoria da Ciência

    Niteroi, Rio de Janeiro, Brasil

    2012 - 2015

  •   Adjunct Professor (tenured) Full Time

    Instituto de Matemática e Estatística, Universidade do Estado do Rio de Janeiro (UERJ)

    Rio de Janeiro, Brasil

    2015 - 2018

  •   Directora Full Time

    Inria Chile

    Santiago, Chile

    2018 - A la fecha

Formación de Capital Humano


Supervision and mentoring Postdocs:

1. Hugo Carrillo (Inria Chile, since 2021).
2. Dante Travisany (Inria Chile, since 2020)- co-supervised with CMM)
3. Paula Sánchez (Inria Chile, since 2020);
4. Ana Muñoz (Inria Chile, since 2019);
5. Ismael Figueroa (Inria Chile, 2019);
6. Felipe Lalanne (Inria Chile, 2018-2019);
7. Vanessa Peña (Inria Chile, 2018);
8. Victor Codocedo (Inria Chile, 2018)

Supervision of Ph.D. theses

1. Theosamuele Signor. Developing new AI models to solve astrophysics problems focused on galaxy archeology. Ph.D. en Astrofísica. Universidad Diego Portales PhD Thesis. (2022-In Progress)
2. Javier Jiménez Alemán. A Distributed System for Ambient Intelligence — Programa de Posgraduação em Ciências da Computação- Universidade Federal Fluminense, Ph.D. Thesis. (2018-In progress)

Supervision of Master theses:

1. Evellyn de Assis Pinto. Intelligent recommendation systems for nutrition using machine learning — Programa de Posgraduação em Ciências Computacionais- Universidade do Estado do Rio de Janeiro. (2020)
2. Bruno Andrade Martins. Anomalies detection in temporary series with Long Short-Term Memory — Programa de Posgraduação em Ciências Computacionais- Universidade do Estado do Rio de Janeiro. (2020)
3. Wemerson Marinho. Applying Deep Learning in Student Proficiency Modeling Techniques for Intelligent Tutoring Systems — Universidade Federal Fluminense, Masters thesis. (2018)
6. Thiago Aguiar. AIDE-VR: Virtual Environment for validation of Ambient Assisted Living business systems using Virtual Reality — Programa de Posgraduação em Ciências Computacionais- Universidade do Estado do Rio de Janeiro. (2018)
7. Percy Machado. Evolutionary Support System for Investing Decisions in Actions using User Context— Programa de Posgraduação em Ciências Computacionais- Universidade do Estado do Rio de Janeiro. (2016)
8. Javier Jiménez Alemán. An Information and Data Fusion Model based on JDL for Non-Intrusive Assistance to Elderly Persons in Outdoor Environments — Programa de Posgraduação em Ciências da Computação- Universidade Federal Fluminense. 2016

Supervision Internships:

1. Diane Puges - École Nationale des Ponts et Chaussées (2019)
2. Marine Crozon - ENSTA Bretagne (2019)
3. Elise Belakebi Joly - ENSTA Paris Tech (2019)
4. Andrés Olivares - Universidad de Chile (2018)
5. Cora Wendlandt - Stanford University (2019)
6. Camilo Núñez Fernández - Universidad Técnica Federico Santa María (2020)
7. Evani Dixit - PLP-00552- Stanford University (2019)
8. Felipe Mosalves - Universidad Técnica Federico Santa María (2020)
9. Felipe Pérez - Universidad Técnica Federico Santa María (2020)
10. Gwendoline Hochet Deévianckine -INSA Lyon (2019)

Teaching Experience:

1. Computer Engineering (undergraduate degree). Universidade do Estado do Rio de Janeiro:
* Artificial Neural Networks
* Human-Computer Interaction
* Informatics in Education
2. Master in Computational Sciences (UERJ; hp://ccomp.ime.uerj.br) (postgraduate degree). Universidade do Estado do Rio de Janeiro:
* Internet of Things
* Machine Learning
* Ambient Intelligence
* Artificial Intelligence
3. Master in Telemedicine and Telehealth (UERJ; hp://www.telessaude.uerj.br/mestrado/) (postgraduate degree). Universidade do Estado do Rio de Janeiro:
* Artificial Intelligence and Virtual Reality for Health
4. Computer Engineering (undergraduate degree). Universidad Carlos III de Madrid:
* Uncertainty Reasoning
* Artificial Intelligence in Organizations
* Data Mining
* Knowledge Engineering
* Theory of Computer Science I and II
5. Tourism (undergraduate degree). Universidad Carlos III de Madrid:
* Computer Science Applied to the Touristic Sector
6. Business Management and Administration
* Management Computer Science
7. Interuniversity Master in Intelligence Analyst (UC3M and URJC; hp://www.masteranalistadeinteligencia.com/) (postgraduate degree), Universidad Carlos III de Madrid:
* Data Mining and Information Extraction
8. Master in Libraries and Digital Information Services (postgraduate degree), Universidad Carlos III de Madrid.
* Knowledge Management
9. Master in Information and Documentation (postgraduate degree), Universidad Carlos III de Madrid.
* Knowledge Management


Difusión y Transferencia


Organization of International Conferences, Workshops, and Schools:

1. Workshop on AI for understanding the Ocean and Climate Change (IJCAI 2022). Vienna, Austria. https://oceania.inria.cl/#aimocc-2022 2022.
2. OceanIA IJCAI 2022 Challenge: AI methods for determining ocean ecosystems from space: Combining genomic information, microscopic and satellite imagery (IJCAI 2022). Vienna, Austria. https://oceania.inria.cl/#ai-ocean-challenge-2022. 2022
3. Side Event AI in Latin America (GPAI 2021), Paris, France. https://gpai-aila.inria.cl/ 2021
4. Workshop Green AI: Evolutionary and machine learning solutions in environment, renewable and ecologically-aware scenarios (ACM GECCO 2020). Cancun, Mexico http://greenai.inria.fr/gecco/. 2020.
5. Special Session Cross-Disciplinary Special Session CDSS-09 Green AI: Sustainability and evolutionary and machine learning solutions (IEEE WCCI 2020). Glasgow, Scotland, UK http: //greenai.inria.fr/wcci2020/. 2020.
6. Side Event-Artificial Intelligence, data, models, and algorithms for sustainable development - The 2019 United Nations Climate Change Conference- COP 25
7. Summer School MEMS-LATAM: Microsystems for Latin America. https://mems-latam-2019.sciencesconf.org/ 2019
8. Tutorial. Applying Stopping Criteria in Evolutionary Multi-Objective Optimization. IEEE Conference on Evolutionary Computation (IEEE CEC’2018). Rio de Janeiro, Brazil http://www.ecomp.poli.br/~wcci2018/cec-tutorials/. 2018.
9. Workshop organizer- Workshop on Intelligent Operations Management in the Energy Sector (GECCO 2018) Kyoto, Japan. 2018.
10. Workshop organizer- Workshop on Intelligent Systems and Context Information Fusion (ISCIF 2018) Toledo, Spain. 2018.
11. Brazilian Congress on Computational Intelligence -XIII Congresso Brasileiro de Inteligência Computacional- (CBIC 2017). Programm Chair http://cbic2017.org/Organizers.html
12. Program chair- XIII Brazilian Congress on Computational Intelligence – XIII Congresso Brasileiro de Inteligência Computacional- (CBIC 2017) Niterói (RJ), Brazil. 2017.
13. Workshop organizer- Workshop on Intelligent Systems and Context Information Fusion (ISCIF 2017) Porto, Portugal. 2017.
14. Tutorial. Applying Stopping Criteria in Evolutionary Multi-Objective Optimization. IEEE Conference on Evolutionary Computation (IEEE CEC’2017). San Sebastián, Spain http://www.cec2017.org/#tutorials. 2017.
15. Workshop organizer- Workshop on Intelligent Systems and Context Information Fusion (ISCIF 2016) Seville, Spain. 2016.
16. Workshop organizer- Second Workshop on Advances in Evolutionary Computation FMC/Univ. of Havana La Habana, Cuba. 2016.
17. Tutorial. Convergence Detection and Stopping Criteria for Evolutionary Multi-Objective Optimization. IEEE Conference on Evolutionary Computation (IEEE CEC’2015). Sendai, Japan http://sites.ieee.org/cec2015/tutorials/; http://lmarti.com/stopping. 2015.
18. Workshop organizer- Workshop on Intelligent Systems and Context Information Fusion (ISCIF 2015) Salamanca, Spain. 2015.
19. Workshop organizer- Workshop on Intelligent Systems and Context Information Fusion (ISCIF 2014) Salamanca, Spain. 2014.
20. Session chair Classification and Cluster Methods Track. International Conference on Soft Computing Models in Industrial and Environmental Applications. (SOCO) Salamanca, Spain,(September 2013). 2013.
21. Session chair Natural Language Processing and Related Methods Track. ICAI- The 2013 International Conference on Artificial Intelligence. Las Vegas, USA, (July 2013). 2013.
22. Session chair All Aspects of Artificial Intelligence Track. ICAI - The 2009 International Conference on Artificial Intelligence. Las Vegas, USA, (July 2013). 2009.

Organization of National Conferences and Events:

1- Inria Chile 10th anniversary. https://www.inria.cl/en/inria-chile-celebrates-its-10th-anniversary (2022)
2- Journées Scientifiques Inria Chile. https://journeesscientifiques2022.inria.cl/en/index.html (2022)
3- Evento “Digital Roads: Nuevas tecnologías para nuevos mercados”- (https://www.iniciativaschiletec.org/digitalroads) (2021)
4- Workshop AI for Medical Imaging (https://cimt.uchile.cl/2020/12/09/workshop-ia/) (2020)
5- Second Workshop on Data science applied to astronomical operations (2019)
6- First Workshop on Data science applied to astronomical operations (https://inria.cl/en/node/874) (2019)

Invited Keynotes:

1. OcéanIA: AI, Oceans and Climate Change. Conference on Neural Information Processing Systems (NEURIPS’2020) (keynote speaker) https://slideslive.com/38942447/ ai-oceans-and-climate-change. 2020.
5. Summer School MEMS-LATAM: Microsystems for Latin America. Monterrey 2018
6. Keynote. ADDCONTEXTO: Ambientes Inteligentes na Indústriado Petróleo Workpedia conference, UFF, Brazil. 2014.
7. Ambient Intelligence: Methods and Application Scenarios. Doctoral Seminar. University Carlos III of Madrid. 2013.
6. Agents in the Ambient: eHealth and Oil & Gas Industry Brazil-France Workshop on Multiagent Systems in Intelligent Environments, UFF, Brazil. 2013.
5. Management Tools for Business Enterprises. Regional Employment Service. Department of Employment, Women, and Immigration. 2011.
4. Files and Information Systems Management. Ministry of Labour and Social Affairs of Spain. 2011.
3. Ubiquitous Computing Services and Applications in Mobile Devices. Summer School. Cantabria University. Laredo. Spain. 2007.
2. Commercial Environments of Development. Spring School of Agents and Multi-agent systems, Ubiquitous Computing and Mobile Environments. The Polytechnic University of Valencia. Spain. 2007.
1. Agents Technologies for Ambient Intelligence. Summer School. Carlos III University of Madrid. University. Madrid. Spain. 2007.
7. Seminar. Ambient Intelligence: Next Steps to Sense the Future. Doctoral Seminar. University Carlos III of Madrid. 2016.

Outreach/ Panels and round tables:

1. Industria Minera 4.0 en la Nube. 8 SAT - Alta Ley, Codelco, ACTI. 2020.
2. "TICs aplicadas en Salud: Covid-19" - 2020
2. Mujeres en ciencia, tecnología e innovación: modelos para desarmar. Instituto Francés de Argentina, Centro Cultural de la Ciencia de Argentina. 2020.
3. La Inteligencia Artificial en la 4ta revolución industrial. Webinar "Desafíos Futuros de la Inteligencia Artificial". Facultad de Derecho y Humanidades UCEN e INAPI. 2020
4. Aceleración de la transformación digital en pandemia (Webinar) . GS1. 2020.
5. 1er Seminario de Inteligencia Artificial en Logística - Panel: Desafíos éticos y normativos de aplicación de Inteligencia Artificial en el ámbito logístico -2020
6. Tecnologías para #COVID?19 y la nueva normalidad - Tecnologías para #COVID?19 y la nueva normalidad 2020
7. Transformación Digital e Industria 4.0 - Transformación Digital e Industria 4.0 -2020
8. Webinar Trophée Startup - 2020
9. Industria Minera 4.0 en la Nube - 2020
10. IoT + IA Dándole sentido a los datos - Sesión 1 - IoT con RIOT -2020
11. Artificial Intelligence, data, models and algorithms for sustainable development - COP25 .2019
12. Día de las Niñas en TIC .2019
13. Bootcamp Brain Camp: Taller de diseño de experiencia de usuario para emprendedores -2020
14. 1er Workshop en Data Science aplicado a operaciones astronómicas - 2020
15. MEMS-LATAM (Microsystems for Latin America) 2019
16. Etapa de Aceleración Brain Chile: Taller y asesorias a startups ganadoras
17. Seminario Transformación Digital y Mercado Laboral del Futuro - Impacto de la Transformación Digital
18. Inno Génération BPI France - Ecosistema de Innovación de Chile
19. Seminario Innovación y Nuevos modelos de Negocio - ¿Cómo el ecosistema franco chileno puede apoyar a Chile en su Transformación hacia la Sustentabilidad?
20. School on Systems and Networks. Realizado del 29 al 31 de octubre de 2019
21. Artificial Intelligence, data, models and algorithms for sustainable development - COP25
22. Día de las Niñas TIC organizado con Technovation- 2018
23. Innovación 2050: Charla de transformación digital- 2018
24. Inauguración Atelier Inria Chile, espacio en el Centro de Innovación UC destinado a la experimentación con tecnologías digitales.- 2018

Difusión en Prensa:

1. La llegada del 5G: ¿De qué se trata esta tecnología?
https://www.explora.cl/blog/la-llegada-del-5g-de-que-se-trata-esta-tecnologia/
2. Inria Chile desarrolla tecnología informática para la astronomía
https://www.df.cl/noticias/empresas/empresas-y-startups/noticias/inria-chile-desarroll a-tecnologia-informatica-para-la-astronomia/2016-08-19/210648.html
3. Una política en inteligencia artificial
https://www.latercera.com/opinion/noticia/una-politica-en-inteligencia-artificial/NNYN7 NV2XJH2NGCXFX74M2QA4A/
4. Los proyectos de Inria Chile para una minería y astronomía más "inteligente"
https://www.df.cl/noticias/df-lab/transformacion-digital/los-proyectos-de-inria-chile-par a-una-mineria-y-astronomia-mas/2020-02-25/181817.html
5. Inteligencia artificial, datos, modelos y algoritmos para un desarrollo sostenible: la apuesta de Inria Chile en COP25
https://www.elmostrador.cl/cultura/2019/12/05/inteligencia-artificial-datos-modelos-y algoritmos-para-un-desarrollo-sostenible-la-apuesta-de-inria-chile-en-cop25/
6. Inria Chile participó con un evento en la COP25 en Madrid
http://www.innovacion.cl/2019/12/inria-chile-cop25/
7. Iniciativa de relaves implementada por Fundación Chile busca contribuir a una mejor relación con el entorno
http://www.portalminero.com/pages/viewpage.action?pageId=159910801
8. Risotto: el algoritmo chileno que organiza la información científica de la pandemia https://www.capital.cl/risotto-el-algoritmo-chileno-que-organiza-la-informacion-cientifi ca-de-la-pandemia/
9. El mercurio 2020-09-03 | 8 : Vida Ciencia y Tecnología | A(3V3RF7G0) https://digital.elmercurio.com/2020/09/03/A/3V3RF7G0
10. Francia y el coronavirus: A fortalecer el multilateralismo
https://m.elmostrador.cl/destacado/2020/06/07/francia-y-el-coronavirus-a-fortalecer-e l-multilateralismo/
11. Realizan primer Seminario de Inteligencia Artificial Aplicada en Logística en Chile https://www.mundomaritimo.cl/noticias/realizan-primer-seminario-de-inteligencia-artifi cial-aplicado-en-logistica-en-chile
12. Nuevo tramo de fibra óptica de la red REUNA, potenciará I+D en el centro-sur de Chile.
https://www.trendtic.cl/2019/04/nuevo-tramo-de-fibra-optica-de-la-red-reuna-potencia ra-id-en-el-centro-sur-de-chile/
13. Corfo presenta su primer centro para la revolución tecnológica en industrias creativas
https://www.trendtic.cl/2020/09/corfo-presenta-su-primer-centro-para-la-revolucion-te cnologica-en-industrias-creativas/
14. Seminario analizará cómo será el impacto de la transformación digital en los trabajos del futuro
https://www.cnnchile.com/tecnologias/seminario-impacto-transformacion-digital-traba jos-futuro_20190827/
15. Inteligencia artificial para todos
https://www.publimetro.com.mx/mx/opinion/2019/11/22/inteligencia-artificial-todos.ht ml
16. Jalisco tendrá el primer hub de inteligencia artificial en México
https://www.eloccidental.com.mx/local/jalisco-tendra-el-primer-hub-de-inteligencia-art ificial-en-mexico-4479865.html
17. Se celebran los 80 años del mayor centro científico integrado entre Chile y Francia [FAYERWAYER TV]
https://www.fayerwayer.com/2019/05/se-celebran-los-80-anos-del-mayor-centro-cien tifico-integrado-entre-chile-y-francia-fayerwayer-tv/
18. Con el objetivo de formar capital humano avanzado en tecnologías digitales, Pharo da la partida a “Master Classes”
https://www.trendtic.cl/2020/08/%EF%BB%BFcon-el-objetivo-de-formar-capital-huma no-avanzado-en-tecnologias-digitales-pharo-da-la-partida-a-master-classes/
19. Inria presenta cursos de programación y deep tech
https://www.zoomtecnologico.com/2020/08/20/cursos-de-programacion-deep/
20. Enel Green Power adquiere el primer convertidor de energía de las olas para Chile https://www.df.cl/noticias/empresas/energia/enel-green-power-adquiere-el-primer-co nvertidor-de-energia-de-las-olas/2019-09-23/101622.html
21. La apuesta por la energía marina y cómo aprovechar su gran potencial https://m.elmostrador.cl/agenda-pais/2019/06/06/la-apuesta-por-la-energia-marina-y como-aprovechar-su-gran-potencial/
22. Los otros contratos y fallas en el historial de EVoting
https://www.latercera.com/politica/noticia/los-otros-contratos-fallas-historial-evoting/4 27596/
23. Nayat Sánchez-Pi, directora de Inria Chile: “La tecnología y la digitalización son aliados claves para la competitividad y la productividad de las empresas” https://www.enel.cl/es/historias/a202005-nayat-sanchez-pi-directora-de-inria-chile.ht ml
24. Inria y Sernageomin colaboran para lograr cero accidentes en minería https://www.mch.cl/2020/02/10/inria-y-sernageomin-colaboran-para-lograr-cero-accid entes-en-mineria/
25. Solo 3 regiones de Chile están preparadas digitalmente para enfrentar los desafíos de la transformación tecnológica
https://digital.elmercurio.com/2020/04/09/A/0L3P948U
26. Inria Academy da gratis clases online sobre tecnologías digitales https://www.kibit.cl/blog/2020/08/21/inria-academy-da-gratis-clases-online-sobre-tecn ologias-digitales/
27. Inria Academy inicia sus “Master Classes” gratuitas y abiertas a todo público http://www.emb.cl/channelnews/noticia.mvc?nid=20200821w6&ni=

Industry R&D+i Projects coordination:

1. Proyecto Cero Accidentes: Zero accidents in the mining industry from the data, Sernagemin (Chilean Ministry of Mining), https://www.inria.cl/es/sernageomin. Principal Investigator (PI) and coordinator 2019–2020.
2. Tranque: Mining tailings monitoring system, Programa TRANQUE (CORFO) , https://www.inria.cl/es/programa-tranque.
Principal Investigator (PI) and coordinator 2018–2020."
3. ADD SMP: System that allows the aggregated analysis of requests for project modifications., ILTC, ADDLabs (UFF) and Petrobras, 1.000.000 BRL. 2014–2015.
4. FrostForecast: IoT and Machine Learning for Frost Prediction in Cherries Field and Vineyards, Crea y Valida (CORFO), https://www.inria.cl/es/frost-forecast. Principal Investigator (PI) and coordinator 2019–2022.
5. L.O.V.E: LSST Operators Visualization Environment, Vera C. Rubin Observatory (AURA and NSF), https://www.inria.cl/es/lsst-large-synoptic-survey-telescope. Principal Investigator (PI) and coordinator 2018–2022.
23. ADDCont: Data mining for optimization of the externalization process in large-scale engineering projects to increase reliability and avoid over- litigation, ILTC, ADDLabs (UFF) and Petrobras, 1.000.000 BRL. 2014–2015.
22. ADDP3D: System for integration and validation of projects data and visualization and reconciliation of inconsistencies., 6000.0026850.6.1, ILTC, ADDLabs (UFF) and Petrobras, 1.000.000 BRL. 2013–2014.
21. ADDPRAZO: Intelligent system for the description and analysis of deviations of time in ventures and aggregate analysis., 6000.0026860.10.4, ILTC, ADD- Labs (UFF) and Petrobras, 1.500.000 BRL. 2013–2014.
20. ADD SUB III: Raciocínio espacial e otimização heurística hibrida, projeto de arranjo submarino, incluindo posicionamento e traçado de linhas em reservatórios offshore, para minimizar o custo do projeto, ILTC, ADDLabs (UFF) and Petrobras, 1.500.000 BRL. 2012–2016.
19. Adaptable fusion based on context: Advanced systems for surveillance, air traffic control and navigation, 2012/00092/001, Universidad Carlos III de Madrid and Spanish Ministry of Science and Innovation. 2012–2014.
18. Ingeniería, configuración y adaptación de la suite Jasper para la puesta en marcha del DMSC/DSN, national level coordinated research project, Universidad Carlos III & Telefónica, Universidad Carlos III de Madrid. 2012–2013.
17. ADD SGA: Intelligent system for alarm prioritization., 6000.0026845.07.1, ILTC, ADDLabs (UFF) and Petrobras, 1.500.000 BRL. 2012–2013.
16. ADD CIM-TBM: Adaptive supervision, visualization and fault forecasting of oil platform turbomachines., 6000.0026842.06.2, ILTC,ADDLabs (UFF) and Petrobras, 1.000.000 BRL. 2012–2013.
15. Diseño e implementación del Sistema de Fusión de Datos Multisensor, national level coordinated research project, DEIMOS SPACE / Universidad Carlos III de Madrid, 200.000 €. 2012–2013.
14. Knowledge management for the improvement of the administrative and management processes of the Spanish university system, 2012/00116/001, Universidad Carlos III de Madrid and Spanish Ministry of Education and Science. 2012–2012.
13. serMEDIABLE - Puesta en Marcha de un Servicio Electrónico de MEDIAción AccesiBLE., Ministerio de Sanidad, Poli?tica Social e Igualdad. Instituto de Mayores y Servicios Sociales (IMSERSO)., Universidad Carlos III de Madrid. 2012–2012.
12. SOPE (Servicio de Orientación y Planificación del Emprendedor)., Ministerio de Educación y Ciencia, Universidad Carlos III de Madrid. 2012–2012.
11. ADDSMS –Machine Learning Analysis System for anomalies investigation in Security, Environment and Safety Department of Petrobras, 6000.0026851.00.3, ILTC, ADDLabs (UFF) and Petrobras, 1.500.000 BRL. 2012-2013.
10. Diseño e Implementación del Proceso de Fusión de Datos del programa SIG- INT., national level coordinated research project, EADS-CASA / Universidad Carlos III de Madrid, Universidad Carlos III de Madrid. 2011–2013.
9. ATLANTIDA: Aplicación de Tecnologías Líder a Aeronaves No Tripuladas para la Investigación y Desarrollo en ATM., national level coordinated research project, BOEING R&D, Universidad Carlos III de Madrid. 150000 EUR. 2011–2012.
8. DONDE (Innovadora plataforma de localización y procesado de video inteligente), national level coordinated research project, MINISTERIO DE INDUSTRIA, TURISMO Y COMERCIO, Universidad Carlos III de Madrid. 2011–2012.
7. ENERGOS: Tecnologías para la gestión automatizada e inteligente de las redes de distribución energética del futuro., national level coordinated research project, UNION FENOSA DISTRIBUCION S.A., Universidad Carlos III de Madrid. 80.000 € 2009–2011.
6. Surveillance, navigation and detection technologies: Conflict resolution for the future European air traffic management systems — CNS/ATM, TEC2008– 06732–C02–02, Universidad Carlos III de Madrid. 2009–2011.
5. SEDUCE: Sistemas para la Detección de Explosivos en Infraestructuras y Centros Públicos, national level coordinated research project, Programa CENIT (iniciativa Ingenio 2010), Universidad Carlos III de Madrid. 2008–2011.
4. Data Mining sobre Datos de Tráfico Aéreo Mediante Técnicas de Inteligencia Artificial”, en el marco del proyecto “Métodos de análisis y explotación de datos de tráfico aéreo y simulación II” suscrito con AENA., national level coordinated research project, UC3M, UPM, Universidad Carlos III de Madrid. 2008–2008.
3. TIMI: Transporte Inteligente de Mercancías Intermodal., national level coordinated research project, Programa CENIT (iniciativa Ingenio 2010), Universidad Carlos III de Madrid. 2007–2010.
2. AENA–EUROCONTROL air traffic planning tool (machine learning module), Spanish and European air traffic authorities, Universidad Carlos III de Madrid. 2007–2007.
1. Técnicas de Inteligencia Artificial para la Extracción de Conocimiento en Datos de Tráfico Ae?reo, en el marco del proyecto “Métodos de análisis y explotación de datos de tráfico aéreo y simulación” suscrito con AENA., national level coordinated research project, Universidad Politécnica de Madrid., Universidad Carlos III de Madrid. 2006–2006.

Research Projects coordination:
1. OcéanIA: Artificial Intelligence, Machine Learning and Modeling for Understanding the Oceans and Climate Change, Inria Challenge 14500 (INRIA), https://oceania.inria.cl/. Principal Investigator (PI) and coordinator. 2020–2024.
2. EMISTRAL: An Environmental Monitoring and Inspection Sailboat via Transfer, Reinforcement and Autonomous Learning, STIC AMSUD Regional Cooperation (ANID and INRIA) . Principal Investigator (PI) and coordinator 2020–2023.
3. GreenIA: Towards an ecologically viable machine learning, CLIMAT AMSUD Regional Cooperation (ANID and INRIA), http://greenai.inria.fr. Principal Investigator (PI) and coordinator 2020–2023.
4. Project Test-GreenIA: Towards an ecologically viable machine learning, CLI- MAT AMSUD (French Regional Cooperation), http://greenai.inria.fr. Principal Investigator (PI) and coordinator. (PI)and coordinator. 2019–2020.
5. Security and Privacy in IoT: Bio-inspired Intelligent Models, Call Fundação Car-los Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) No 03/2017 - PROGRAMA “JOVEM CIENTISTA DO NOSSO ESTADO — 2017", Young Scientist Fellowship. Principal Investigator (PI) and coordinator. (PI) 2018–2021.
6. Data fusion models for ambient assisted living), 430082/2016-9, Conselho Nacional de Desenvolvi-mento Científico e Tecnológico (CNPq). Principal Investigator (PI) and coordinator. 2017–2020.
7. Interacting with the Future: Developing New Intelligent Models based on IoT and AmI, Call PROCIÊNCIA 2017, Prociência Research Project Fellowship, Universidade do Estado do Rio de Janeiro. Principal Investigator (PI) and coordinator. 2017–2020.
8. Context-based Models for Data Fusion in Ambient Intelligence-INST, 210.268/2016, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do RJ (FAPERJ). Principal Investigator (PI) 2016–2017.
19. Ambient Assisted Living (AAL) Models for Elderly assistance in Brazil , 211.500/2015, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do RJ (FAPERJ). Principal Investigator (PI) 2015–2016.
18. Research on Ambient Intelligence, 314017/2013-5, National Council for Scientific and Technological Development (CNPq) — Science without Borders Program Special Visiting Researcher. Principal Investigator (PI) 2014–2016.
19. COLOCAME: Integration of communication, localization, and intelligent service provision: Architecture for emergent mobile services, national level coordinated research project, CICYT — TSI2005-07344-C02-02, Universidad Carlos III de Madrid. 2005–2008.
20. Desarrollo de un Sistema de Localización basado en SUPL., national level coordinated research project, Ministro de Industria, Turismo y Comercio (FIT-330210-2006-68)., Universidad Carlos III de Madrid. 2006–2006.
21. AUTOPIA: Towards the autonomy of people with disabilities and dependent elders by means of Ambient Intelligence, research project, Ministerio de Trabajo y Asuntos Sociales (Spanish Ministry of Work and Social A airs) — IMSERSO 31/06), Universidad Carlos III de Madrid. 2006–2007.
22. SINPROB: Intelligent systems applied to the protection of ships and port operations, research project, Ministerio de Fomento (Spanish Ministry of Industries) — Ref. T10/2006, Universidad Carlos III de Madrid. 2006–2009.
23. MADRINET: Multidisciplinary Advanced research in user-centric wireless network enabling technologies, national-level coordinated research project, CAM (S-0505/TIC/0255), Universidad Carlos III de Madrid. 2006–2010.
24. Análisis de los Resultados Académicos de la Universidad Carlos III de Madrid. Determinación de criterios y propuesta de medidas de actuación para paliar el abandono/fracaso en las diversas titulaciones., national level coordinated research project, Ministerio de Educación y Ciencia (EA2007-0036), Universidad Carlos III de Madrid. 2007–2007.
25. DISIS-MA: Diseño de sistemas de seguridad mediante arquitecturas multiagente, national level coordinated research project, Comunidad de Madrid-2007/04094/001, Universidad Carlos III de Madrid. 2007–2007.
26. 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., national level coordinated research project, Ministro de Industria, Turismo y Comercio (FIT-330210-2007-13), Universidad Carlos III de Madrid. 2007–2010.
27. Integración de Técnicas de Fusión e Interpretación para el Desarrollo de Servicios basados en Estimación de Actividad en Espacios Inteligentes: INFUSA, national level coordinated research project, CICYT (TIN2011-28620-C02-01), Universidad Carlos III de Madrid. 2007–2010.
28. LOCATIL: Sensor fusion and reasoning techniques for services based in location and context: An application to ambient-assisted living, national-level coordinated research project, CICYT — TIN2008-06742-C02-02/TSI, Universidad Carlos III de Madrid. 2008–2011.
29. INTEGRA: Investigación en Tecnologías para la Gestión de la Migración., national level coordinated research project, Programa CENIT (iniciativa Ingenio 2010), Universidad Carlos III de Madrid. 2008–2011.
30. ANADISC Análisis de un sistema electrónico de mediación y arbitraje sobre igualdad y no discriminación y accesibilidad universal de las personas con discapacidad, research project, IMSERSO, Universidad Carlos III de Madrid. 2009–2009.
31. Estudio del futuro de las tecnologías inalámbricas de comunicaciones en la seguridad del tráfico ferroviario, research project, Ministerio de Fomento, Universidad Carlos III de Madrid. 2009–2009.
32. Evaluación de las acciones de juego en deportes de equipo por medio de inteligencia artificial., national level coordinated research project, INSTITUTO DE SALUD CARLOS III, Universidad Carlos III de Madrid. 2009–2011.
33. CONTEXTS-Concepts and technologies for the development of contextual services, S2009/TIC–1485, Universidad Carlos III de Madrid. 2010–2013.
34. Center for Research and Innovation in Information Technologies and Telecommunications (10CEII-9157), International Centre of Excellence (INRIA and CORFO) , https://www.inria.cl. Principal Investigator (PI) and coordinator. 2012–2022.
35. InnEMO: Innovation in Evolutionary Multi-Objective Optimization: Novel Approaches and Applications, 407851/2012-7, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) — Science without Borders “Young Talents Attraction Program”. 2013–2016.

Conference Program Committees:

1. IBERAMIA– Ibero-American Conference on Artificial Intelligence. 2011–present.
2. WAIHCWS– Workshop sobre Aspectos da Interaccão Humano-Computador na Web Social. 2012–present.
3. HCI– Simpósio Brasileiro sobre Fatores Humanos em Sistemas Computacionais. 2012–present.
4. IADIS– Intelligent Systems and Agents. 2010–present.
5. ISCIF– Workshop on Intelligent Systems and Context Information Fusion. 2008–present.
6. CONTEXT– Workshop on User-Centric Technologies and Applications. 2006–2008.
7. ENIAC– Encontro Nacional de Inteligência Artificial e Computacional. 2014–present.
8. BRACIS– Brazilian Conference on Intelligent Systems. 2014–present.
9. ISAMI– International Symposium on Ambient Intelligence. 2014–present.
10. LA-CCI– IEEE Latin American Conference on Computational Intelligence (IEEE LCCI). 2016–present.

Peer-reviewer for Journals:

1. Neurocomputing. 2013–present.
2. IEEE Sensors Journal. 2011–present.
3. Future Generation Computer Systems. 2009–present.
4. IEEE Intelligent Systems. 2009–present.

Society Memberships:

1. ICARE- Member Innovation Circle/ Chilean Institute of Rational Business Administration 2020- present
2. IEEE- Member Institute of Electric and Electronic Engineers. 2006-present.
2. ACM- Association for Computing Machinery (ACM). 2006-present.


Premios y Distinciones

  •   Young Scientist Chair

    Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro FAPERJ

    Brasil, 2017

    Programa Jovem Cientista Do Nosso Estado, Call FAPERJ Nº03/2017, (36 months)

  •   Prociéncia Project-Fellowship Award

    Universidade do Estado do Rio de Janeiro

    Brasil, 2017

    Merit-based, awarder to top 4.1% of permanent staff of IME and 8,4% of UERJ. (36 months)

  •   Winner of Young Talent Attraction Research Fellowship

    Ministerio Da Ciencia, Tecnologia, Inovacoes e Comuniacoes

    Brasil, 2012

    Project “Ambient assisted living, e-health and surveillance (AALeHS)” (36 months). Call 60/2011, Line 1, Programa Ciência sem Fronteiras MEC/MCTI/CAPES/CNPq/FAPs. (36 months)

  •   Extraordinay Ph.D.

    UNIVERSIDAD CARLOS III DE MADRID

    España, 2011

    Premio Extraordinario de Doctorado

  •   ERASMUS Staff Mobility fellowship of the European Commission

    University of Udine

    Italia, 2011

    2011-2012

  •   Merit-Based research for Collaboration between professors of Spanish Universities and Universities in the Iberoamerican Community of Nations

    Banco Santander “Santander Universidades”

    España, 2011

    Merit-based research funding for Collaboration between professors of Spanish Universities and Universities in the Iberoamerican Community of Nations.

  •   Merit-Based fellowship awarded by Fundación Carolina

    Fundación Carolina

    España, 2010

    Collaboration between professors of Spanish Universities and Universities in the Iberoamerican Community of Nations.

  •   Ph.D. students mobility merit-based fellowship.

    Universidad Carlos III de Madrid

    España, 2009

    Funding for research stay at Universidade de Lisboa.

  •   Merit-Based European Ph.D. mobility fellowship

    Spanish Ministry of Education

    España, 2009

    Mobility fellowship

  •   Ph.D. students mobility merit-based fellowship

    Universidad Carlos III de Madrid

    España, 2009

    Funding for research stay at University College Dublin.


 

Article (36)

A Graph Neural Network with Spatio-Temporal Attention for Multi-Sources Time Series Data: An Application to Frost Forecast
Searching for Changing-state AGNs in Massive Data Sets. I. Applying Deep Learning and Anomaly-detection Techniques to Find AGNs with Anomalous Variability Behaviors
Collective Intelligence Approaches in Interactive Evolutionary Multi-Objective Optimization
Selection methods and diversity preservation in many-objective evolutionary algorithms
Agent-Based simulation with NetLogo to evaluate ambiente intelligence scenarios.
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
Bio-Inspired Algorithms and Preferences for Multi-objective Problems
Gamification and Information Fusion for Rehabilitation: An Ambient Assisted Living Case Study
Improving ontology-based text classification: An occupational health and security application
Information Fusion for Improving Decision-Making in Big Data Applications
SMS-EDA-MEC: Extending Copula-based EDAs to Multi-Objective Optimization
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
Intelligent agents for alarm management in petroleum ambient
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
Evaluation of Agents Interactions in a Context-Aware System
A knowledge-based system approach for a context-aware system
Multi-agent simulations for emergency situations in an airport scenario.
A Utility-Based Adaptation Approach for an Aml (Ambient Intelligence) Environment
An Agent-Based Dialog Simulation Technique to Develop and Evaluate Conversational Agents
Evaluating Interaction of MAS Providing Context-Aware Services
A multi-agent approach for provisioning of e-services in u-commerce environments
Adaptation of an Evaluation System for e-Health Environments
An Architecture for the Design of Context-Aware Conversational Agents
Analysis and Design on a Multi-Agent System Using Gaia Methodology in an Airport Case of Use
A Centralized Approach to an Ambient Assisted Living Application: An Intelligent Home
A Smart Solution for Elders in Ambient Assisted Living
KBS in Context Aware Applications: Commercial Tools
JADE/LEAP Agents in an Aml Domain
Knowledge-based system to define context in commercial applications

BookSection (13)

AIDE-VR: Extending a Virtual Living Lab Framework Using Virtual Reality
Applying VorEAl for IoT Intrusion Detection
How Machine Learning Could Detect Anomalies on Thinger.io Platform?
Hybrid Multi-Objective Evolutionary Algorithms with Collective Intelligence.
User Context in a Decision Support System for Stock Market
Opportunistic Sensoring Using Mobiles for Tracking Users in Ambient Intelligence
Text Classification Techniques in Oil Industry Applications
An Evaluation Method for Context–Aware Systems in U-Health
MAS for Alarm Management System in Emergencies
Modern Advances in Intelligent Systems and Tools
Real-Time Alarm Management System for Emergency Situations
Trends in Practical Applications of Agents and Multiagent Systems
Designing a Distributed Context-Aware Multi-Agent System

BookWhole (1)

Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - International Workshops of PAAMS 2018, Toledo, Spain, June 20-22, 2018, Proceedings

ConferencePaper (6)

Extending Collective Intelligence Evolutionary Algorithms: A Facility Location Problem Application
Increasing Availability Control of Human Biological Samples Using a Mobile Management System
A compact encoding for efficient character-level deep text classification
Multiobjective evolutionary polygonal approximation for identifying crude oil reservoirs
YASA: Yet Another Time Series Segmentation Algorithm for Anomaly Detection in Big Data Problems
A multi-agent platform for the provisioning of U-commerce services

ConferencePoster (1)

Artificial Intelligence, Machine Learning and Modeling for Understanding the Oceans and Climate Change

ConferenceProceedingWhole (22)

A Context-Aware Architecture to Provide Adaptive Services by means of Spoken Dialogue Interaction.
Gamification and Information Fusion for Rehabilitation
Integrating collective intelligence into evolutionary multi-objective algorithms
Preference-base Interactive MOEA on Continuous Problem of Facility Location.
Big Data Visualization for Occupational Health and Security Problem in Oil and Gas Industry.
Collaborative Preferences in Multi-Objective Evolutionary Algorithms
Collective preferences in evolutionary multi-objective optimization: techniques and potential contributions of collective intelligence.
Modeling Social Interactions for Multi-sensory Tracking of Elders in Outdoor Environments on Ambient Assisted Living
Ontology definition and cognitive analysis in ocupational health and security (OHS) environments.
SafeRoute: an example of multisensoring tracking for the elderly using mobiles on ambient intelligence
Using Collective Intelligence to Support Multi-Objective Decisions Collaborative and Online Preferences.
An information fusion framework for context-based accidents prevention.
Combining Support Vector Machines and Segmentation Algorithms for E icient Anomaly Detection
High-level information fusion for risk and accidents prevention in pervasive oil industry environments
Understanding the Treatment of Outliers in Multi-Objective Estimation of Distribution Algorithms.
Yet another time series segmentation algorithm for anomaly detection in big data problems
Comparing Agent Interactions of Distributed and Centralized Multi-Agent Systems for Context-Aware Domains.
Information Extraction Techniques for Health, Safety and Environment Applications in Oil Industry.
A multi-agent platform for the provisioning of U-commerce services.
An Architecture to Provide Context- Aware Services by Means of Conversational Agents.
Building a Knowledge Based System for an Airport Case of Use.
Context-Aware Approach for Orally Accessible Web Services.

JournalWhole (1)

Crowd-Based Ambient Assisted Living to Monitor the Elderly's Health Outdoors

Proyecto (57)

Interoperable repository for intelligent analysis of medical images
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
Project Test-GreenAI: Towards an ecologically viable machine learning
FrostForecast: IoT and Machine Learning for Frost Prediction in Cherries Field and Vineyards
Interoperable information repositories for data mining in the healthcare industry
Proyecto Cero Accidentes: Zero accidents in the mining industry from the data
L.O.V.E: LSST Operators Visualization Environment
Segurança e Privacidade para IoT: Modelos Inteligentes Bio-Inspirados (Security and Privacy in IoT: Bio-inspired Intelligent Models)
Tranque: Mining tailings monitoring system, Programa TRANQUE
Interagindo com o Futuro: Desenvolvimento de Novos Modelos Inteligentes baseados em IoT e AmI (Interacting with the Future: Developing New Intelli- gent Models based on IoT and AmI)
Modelos de Fusão de Dados para Ambient Assisted Living (Data fusion models for ambient assisted living)
INST-Modelos de Contexto para Fusão de Dados em Domínios de Inteligên- cia Ambiental
APQ1- Modelos de Ambient Assisted Living para Assistência a Idosos no Brasil
Research on Ambient Intelligence
ADD SMP: System that allows the aggregated analysis of requests for project modifications
ADDCont: Data mining for optimization of the externalization process in large-scale engineering projects to increase reliability and avoid over-litigation
ADDP3D: System for integration and validation of projects data and visual- ization and reconciliation of inconsistencies
ADDPRAZO: Intelligent system for the description and analysis of deviations of time in ventures and aggregate analysis
InnEMO: Innovation in Evolutionary Multi-Objective Optimization: Novel Approaches and Applications
Adaptable fusion based on context: Advanced systems for surveillance, air traffic control and navigation
ADD CIM-TBM: Adaptive supervision, visualization and fault forecasting of oil platform turbomachines
ADD SGA: Intelligent system for alarm prioritization
ADD SUB III: Raciocínio espacial e otimização heurística hibrida, projeto de arranjo submarino, incluindo posicionamento e traçado de linhas em reservatórios offshore, para minimizar o custo do projeto
ADDSMS –Machine Learning Analysis System for anomalies investi- gation in Security, Environment and Safety Department of Petrobras
Center for Research and Innovation in Information Technologies and Telecommunications
Diseño e implementación del Sistema de Fusión de Datos Multisensor
Ingeniería, configuración y adaptación de la suite Jasper para la puesta en marcha del DMSC/DSN
Knowledge management for the improvement of the administrative and management processes of the Spanish university system
serMEDIABLE - Puesta en Marcha de un Servicio Electrónico de MEDIAción AccesiBLE
SOPE (Servicio de Orientación y Planificación del Emprendedor)
ATLANTIDA: Aplicación de Tecnologías Lider a Aeronaves No Tripuladas para la Investigación y Desarrollo en ATM
Diseño e Implementación del Proceso de Fusión de Datos del programa SIG-INT
DONDE (Innovadora plataforma de localización y procesado de video in- teligente)
CONTEXTS-Concepts and technologies for the development of contextual services
ENERGOS: Tecnologías para la gestión automatizada e inteligente de las redes de distribución energética del futuro
Estudio del futuro de las tecnologías inalámbricas de comunicaciones en la seguridad del tráfico ferroviario
Evaluación de las acciones de juego en deportes de equipo por medio de inteligencia artificial
Surveillance, navigation and detection technologies: Conflict resolution for the future European air traffic management systems — CNS/ATM
Data Mining sobre Datos de Tráfico Aéreo Mediante Técnicas de Inteligencia Artificial”, en el marco del proyecto “Métodos de análisis y explotación de datos de tráfico aéreo y simulación II” suscrito con AENA
INTEGRA: Investigación en Tecnologías para la Gestión de la Migración
LOCATIL: Sensor fusion and reasoning techniques for services based in lo- cation and context: An application to ambient-assisted living
SEDUCE: Sistemas para la Detección de Explosivos en Infraestructuras y Centros Públicos
AENA–EUROCONTROL air traffic planning tool (machine learning module)
Análisis de los Resultados Académicos de la Universidad Carlos III de Madrid. Determinación de criterios y propuesta de medidas de actuación para paliar el abandono/fracaso en las diversas titulaciones
DISIS-MA: Diseño de sistemas de seguridad mediante arquitecturas mul- tiagente
Integración de Técnicas de Fusión e Interpretación para el Desarrollo de Servicios basados en Estimación de Actividad en Espacios Inteligentes: IN- FUSA
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: Transporte Inteligente de Mercancías Intermodal
AUTOPIA: Towards the autonomy people with disabilities and dependent elders by means of Ambient Intelligence
Desarrollo de un Sistema de Localización basado en SUPL
MADRINET: Multidisciplinary Advanced research in user-centric wireless network enabling technologies
SINPROB: Intelligent systems applied to the protection of ships and port operations
Técnicas de Inteligencia Artificial para la Extracción de Conocimiento en Datos de Tráfico Aéreo, en el marco del proyecto “Métodos de análisis y explotación de datos de tráfico aéreo y simulación” suscrito con AENA
COLOCAME: Integration of communication, localization and intelligent service provision: Architecture for emergent mobile services
137
Nayat Sánchez

Directora

Inria Chile

Santiago, Chile

13
Luis Martí

Director Científico

Inria Chile

Santiago de Chile, Chile

3
Jose Molina

Professor

Department of Computer Science and Engineering

Universidad Carlos III de Madrid

Madrid, España

1
Jorge Vergara

Profesor asistente

Informática y Computación

Universidad Tecnológica Metropolitana

Santiago, Chile

1
Pablo Estevez

Profesor Titular

Departamento de Ingenieria Eléctrica

DEPTO. INGENIERÍA ELÉCTRICA, UNIVERSIDAD DE CHILE

Santiago, Chile

1
Guillermo Cabrera

Associate Professor

Department of Computer Science

Universidad de Concepción

Concepción, Chile