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Álvaro Carrera Barroso
Position
Profesor Contratado Doctor
Description
Álvaro Carrera Barroso, Doctor phD Ingeniero de Telecomunicación por la Universidad Politécnica de Madrid, es Profesor en la E.T.S.I. de Telecomunicación en el departamento de Ingeniería de Sistemas Telemáticos de la Universidad Politécnica de Madrid. Ha trabajo estrechamente con Telefónica en la aplicación de técnicas inteligentes para el diagnóstico de fallos en redes de telecomunicación.
Sus intereses de investigación se centran en Sistemas Inteligentes aplicados a las Telecomunicaciones, Ingeniería Software Orientada a Agentes, Big Data e Ingeniería del Conocimiento. Dicho trabajo de investigación se ve reflejado en los numerosos artículos de investigación publicados en congresos, libros y revistas internacionales de alto impacto. Participa activamente en proyectos de investigación nacionales y europeos. Los proyectos internacionales más recientes son los siguientes FP7 EuroSentiment, H2020 SmartOpenData, H2020 MixedEmotions y H2020 Trivalent en las áreas de Linked Data y Big Data, aplicados a la tecnología de descubrimiento semántico y análisis de sentimientos.
Research areas
Personal Information
Email
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Phone
91 06 72113
Location
B-208 (ETSIT)
Publications View all
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Machine Learning Approaches for Frailty Detection, Prediction and Classification in Elderly People: A Systematic Review
Matteo Leghissa, Álvaro Carrera Barroso & Carlos A. Iglesias. (2023). Machine Learning Approaches for Frailty Detection, Prediction and Classification in Elderly People: A Systematic Review. International Journal of Medical Informatics, 178, 105172. -
Extending the OSLC Standard for ECA-Based Automation
Guillermo García Grao & Álvaro Carrera Barroso. (2023). Extending the OSLC Standard for ECA-Based Automation. Electronics, 12 (14), 3043. -
Making Sense of Language Signals for Monitoring Radicalization
Oscar Araque, J. Fernando Sánchez-Rada, Álvaro Carrera Barroso, Carlos A. Iglesias, Jorge Tardío Rubio, Guillermo García Grao et al. (2022). Making Sense of Language Signals for Monitoring Radicalization. Applied Sciences, 12 (8143), 1-27. -
A Big Data Reference Architecture for Emergency Management
Carlos A. Iglesias, Alfredo Favenza & Álvaro Carrera Barroso. (2020). A Big Data Reference Architecture for Emergency Management. Information, 12 (11), 1-24. -
Empowering Museum Experiences Applying Gamification Techniques Based on Linked Data and Smart Objects
Álvaro Carrera Barroso, Carlos A. Iglesias & Alejandro López Martínez. (2020). Empowering Museum Experiences Applying Gamification Techniques Based on Linked Data and Smart Objects. Applied Sciences, 10 (16), 5419. -
A Practical Demonstration of a Variable Incentive Model for Bike-Sharing Systems Based on Agent-Based Social Simulation
Alberto López Santiago, Carlos A. Iglesias & Álvaro Carrera Barroso (2020). A Practical Demonstration of a Variable Incentive Model for Bike-Sharing Systems Based on Agent-Based Social Simulation. In Demazeau, Ives, Holvoet, Tom, Corchado, Juan M. et al (editors), Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness The PAAMS Collection. Springer Verlag. -
Improving Sustainable Mobility with a Variable Incentive Model for Bike-Sharing Systems Based on Agent-Based Social Simulation
Alberto López Santiago, Carlos A. Iglesias & Álvaro Carrera Barroso (2020). Improving Sustainable Mobility with a Variable Incentive Model for Bike-Sharing Systems Based on Agent-Based Social Simulation. In Demazeau, Ives, Holvoet, Tom, Corchado, Juan M. et al (editors), Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness The PAAMS Collection. Springer Verlag. -
JAICOB: A Data Science Chatbot
Daniel Carlander-Reuterfelt Gallo, Álvaro Carrera Barroso, Carlos A. Iglesias, Oscar Araque, J. Fernando Sánchez-Rada & Sergio Muñoz López. (2020). JAICOB: A Data Science Chatbot. IEEE Access, 8, 180672-180680. -
Gamified Smart Objects for Museums Based on Automatically Generated Quizzes Exploting Linked Data
Alejandro López, Carlos A. Iglesias & Álvaro Carrera Barroso (2020). Gamified Smart Objects for Museums Based on Automatically Generated Quizzes Exploting Linked Data. In 2020 16th International Conference on Intelligent Environments (IE), pages 132-139. IEEE. -
A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks
Álvaro Carrera Barroso, Eduardo Alonso & Carlos A. Iglesias. (2019). A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks. Sensors, 19 (15), 3408-3430. -
A semantic data lake framework for autonomous fault management in SDN environments
Benayas de los Santos, F., Álvaro Carrera Barroso, Carlos A. Iglesias & Manuel García-Amado. (2019). A semantic data lake framework for autonomous fault management in SDN environments. Transactions on Emerging Telecommunications Technologies, e3629. -
An Agent-based Simulation Model for Emergency Egress
Álvaro Carrera Barroso, Eduardo Merino, Pablo Aznar, Guillermo Fernández & Carlos A. Iglesias (2018). An Agent-based Simulation Model for Emergency Egress. In Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference, pages 140-148. Toledo, Spain : Springer Verlag. -
A Cognitive Assistant for learning Java featuring Social Dialogue
Miguel Coronado, Carlos A. Iglesias, Álvaro Carrera Barroso & Alberto Mardomingo Mardomingo. (2018). A Cognitive Assistant for learning Java featuring Social Dialogue. International Journal of Human-Computer Studies. -
Teaching Big Data With Pen, Paper and Scissors
J. Fernando Sánchez-Rada, Oscar Araque, Álvaro Carrera Barroso & Carlos A. Iglesias. (2018). Teaching Big Data With Pen, Paper and Scissors. Revista Internacional de Tecnologías en la Educación, 5 (2), 63-68. -
Towards an Autonomic Bayesian Fault Diagnosis Service for SDN Environments based on a Big Data Infrastructure
Benayas de los Santos, F., Álvaro Carrera Barroso & Carlos A. Iglesias (2018). Towards an Autonomic Bayesian Fault Diagnosis Service for SDN Environments based on a Big Data Infrastructure. In Proceedings of Fifth IEEE International Conference on Software Defined Systems (SDS-2018). Barcelona, Spain. -
Selected Ph.D. Thesis Abstracts. Application of Agent Technology for Fault Diagnosis of Telecommunication Networks
Álvaro Carrera Barroso. (2017). Selected Ph.D. Thesis Abstracts. Application of Agent Technology for Fault Diagnosis of Telecommunication Networks. The IEEE Intelligent Informatics Bulletin, 19 (1), 21-22. -
SmartSim: Improving visualization on social simulation for an emergency evacuation scenario
Antonio M. Díaz-Dominguez, Ganggao Zhu, Álvaro Carrera Barroso, Carlos A. Iglesias & Oscar Araque (2016). SmartSim: Improving visualization on social simulation for an emergency evacuation scenario. In Rubén Fuentes-Fernández & Marin Lujak (editors), Proceedings of 1st International Workshop on Ambient Intelligence for Large Premises (AmILP 2016) co-located with ECAI 2016. -
A Participatory Agent-Based Simulation for Indoor Evacuation supported by Google Glass
Jesús M. Sánchez, Álvaro Carrera Barroso, Carlos A. Iglesias & Emilio Serrano. (2016). A Participatory Agent-Based Simulation for Indoor Evacuation supported by Google Glass. Sensors, 16 (9), 1360. -
Application of Agent Technology for Fault Diagnosis of Telecommunication Networks
Álvaro Carrera Barroso. (2016). Application of Agent Technology for Fault Diagnosis of Telecommunication Networks. Phd Thesis. Universidad Politécnica de Madrid. -
Exploiting Structural Knowledge using Network Description Language and Causal Models for Fault Diagnosis in Wireless Sensor Networks
Álvaro Carrera Barroso & Carlos A. Iglesias. (2015). Exploiting Structural Knowledge using Network Description Language and Causal Models for Fault Diagnosis in Wireless Sensor Networks. Journal of Networking Technology, 6 (4), 135-147. -
A systematic review of argumentation techniques for multi-agent systems research
Álvaro Carrera Barroso & Carlos A. Iglesias. (2015). A systematic review of argumentation techniques for multi-agent systems research. Artificial Intelligence Review, 44 (4), 509-535. -
Beast methodology: An agile testing methodology for multi-agent systems based on behaviour driven development
Álvaro Carrera Barroso, Carlos A. Iglesias & Mercedes Garijo. (2014). Beast methodology: An agile testing methodology for multi-agent systems based on behaviour driven development. Information Systems Frontier, 16 (2), 169-182. -
A probabilistic approach to G-PON self healing
Javier García-Algarra, Javier González Ordás, Pablo Arozarena, Roberto Afonso & Álvaro Carrera Barroso. (2014). A probabilistic approach to G-PON self healing. REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL, 11 (1), 80-85. -
A real-life application of multi-agent systems for fault diagnosis in the provision of an internet business service
Álvaro Carrera Barroso, Carlos A. Iglesias, Javier García-Algarra & Dušan Kolařík. (2014). A real-life application of multi-agent systems for fault diagnosis in the provision of an internet business service. Journal of Network and Computer Applications, 37, 146-154. -
Behaviour Driven Development for Multi-Agent Systems
Álvaro Carrera Barroso, Jorge Juan Solitario & Carlos A. Iglesias (2012). Behaviour Driven Development for Multi-Agent Systems. In Alessandro Ricci, Ana García-Fornes, Danny Weyns, Jose M. Such, Juan M. Alberola, Michal Pechoucek et al (editors), INFRASTRUCTURES AND TOOLS FOR MULTIAGENT SYSTEMS, pages 113-120. -
Improving Diagnosis Agents with Hybrid Hypotheses Confirmation Reasoning Techniques
Álvaro Carrera Barroso & Carlos A. Iglesias (2012). Improving Diagnosis Agents with Hybrid Hypotheses Confirmation Reasoning Techniques, chapter Improving, pages 48-62. Springer Verlag. -
B2DI A Bayesian BDI Agent Model with Causal Belief Updating based on MSBN
Álvaro Carrera Barroso & Carlos A. Iglesias (2012). B2DI A Bayesian BDI Agent Model with Causal Belief Updating based on MSBN. In Proceedings of the 4th International Conference on Agents and Artificial Intelligence (ICAART2012), pages 343-346. SciTePress. -
Multi-agent Architecture for Heterogeneous Reasoning under Uncertainty Combining MSBN and Ontologies in Distributed Network Diagnosis
Álvaro Carrera Barroso & Carlos A. Iglesias (2011). Multi-agent Architecture for Heterogeneous Reasoning under Uncertainty Combining MSBN and Ontologies in Distributed Network Diagnosis. In 2011 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pages 159-162. Lyon, France : IEEE. -
A Modular Agent Architecture for Optimising Hypothesis confirmation cost in Network Diagnosis
Álvaro Carrera Barroso & Carlos A. Iglesias (2011). A Modular Agent Architecture for Optimising Hypothesis confirmation cost in Network Diagnosis. In 9th European Workshop on Multi-agent Systems (EUMAS 2011). -
Distributed Fault Diagnosis using Bayesian Reasoning in MAGNETO
Pablo Arozarena, Raquel Toribio & Álvaro Carrera Barroso (2011). Distributed Fault Diagnosis using Bayesian Reasoning in MAGNETO. In International Workshop on Network Resilience: From Research to Practice. -
A Multi-agent system with Distributed Bayesian Reasoning for Network Fault Diagnosis
Álvaro Carrera Barroso, Javier Gonzalez-Ordás, Javier García-Algarra, Pablo Arozarena & Mercedes Garijo (2011). A Multi-agent system with Distributed Bayesian Reasoning for Network Fault Diagnosis. In Demazeau, Yves, Pechoucek, Michal, M. Corbacho, Juan et al (editors), Advances in Practical Applications of Agents and Multiagent Systems, pages 113-118. Salamanca : Springer. -
Uso de redes Bayesianas para diagnosticar fallos inciertos de red
Álvaro Carrera Barroso. (2010). Uso de redes Bayesianas para diagnosticar fallos inciertos de red. Final Career Project. ETSI Telecomunicación, Universidad Politécnica de Madrid.
Projects View all
Research areas: IR and Sentiment Analysis
Proposed start date: 2023-02-01
Proposed end date: 2024-12-31
Research areas: Agents and Social Simulation
Proposed start date: 2019-01-08
Proposed end date: 2019-12-31
Research areas: Agents and Social Simulation, IR and Sentiment Analysis, Linked Data and Semantic Technologies
Proposed start date: 2019-01-01
Proposed end date: 2022-12-30
Research areas: Big Data and Machine Learning
Proposed start date: 2018-09-01
Proposed end date: 2019-02-28
Research areas: Big Data and Machine Learning
Proposed start date: 2018-02-01
Proposed end date: 2018-11-15
Research areas: Big Data and Machine Learning
Proposed start date: 2017-01-17
Proposed end date: 2019-01-17
Research areas: Agents and Social Simulation
Proposed start date: 2016-05-12
Proposed end date: 2018-12-31
Research areas: IR and Sentiment Analysis
Proposed start date: 2015-04-01
Proposed end date: 2017-04-30
Research areas: Agents and Social Simulation
Proposed start date: 2014-10-01
Proposed end date: 2017-03-31
Research areas: Agents and Social Simulation
Proposed start date: 2012-10-01
Proposed end date: 2015-12-31
Research areas: Big Data and Machine Learning
Proposed start date: 2012-04-02
Proposed end date: 2013-02-28
Research areas: Agents and Social Simulation
Proposed start date: 2010-06-01
Proposed end date: 2010-12-31
Research areas: Agents and Social Simulation
Proposed start date: 2010-03-01
Proposed end date: 2010-10-31