Homepage of Iván García-Magariño

Iván García-Magariño
Professor (Profesor Titular de Universidad) in Complutense University of Madrid
Email:
Iván García-Magariño in ResearchGate Iván García-Magariño in Google Scholar
Twitter: @igarciamag

Iván García-Magariño is a lecturer and a contributor to the GRASIA research group at the Complutense University of Madrid. Prior to commencing this position in 2018, he was a PhD assistant professor in University of Zaragoza (2014-2018), and before he was a lecturer at the Madrid Open University (2010-2014). Iván was awarded his Ph.D. in Computer Science Engineering from the Complutense University of Madrid in 2009, and was a recipient of an FPI scholarship from 2006 to 2010. His main research interests include artificial intelligence (AI), human-centric AI, agent-based simulators, multi-agent systems, and cryptocurrency/blockchain, all of these applied to different fields such as IoT, security and health. Among journals, book chapters, conferences and workshops, he has over 140 publications (over 64 in journals with ISI Thomson JCR). He actively collaborates with City University of London (UK) on Human-centric AI and security-privacy projects, the EduQTech research group from the University of Zaragoza on m-health projects, the HCI Lab from the University of Udine (Italy) on human-computer interaction projects, Technological University Dublin (Ireland) on datamining projects, and the Multicultural Alzheimer Prevention Program (MAPP) of Massachusetts General Hospital and Harvard University (US) on m-health projects. He has been guest editor in several special issues with impact factor.

Open Projects

  1. Main researcher of Contract about Anticipation and defense against cyberattacks to Spanish institutions generating explanations", (2022-2023), Programa Investigo, Comunidad de Madrid, with reference CT36/22-08-UCM-INV.
  2. Main researcher of Teaching Innovation Project "Towards improving partial automatic correction of activities/practices of students", (2022-2023), Complutense University of Madrid.

Past Projects

  1. Participant of “Diseño colaborativo para la promoción del bienestar en ciudades inteligentes inclusivas”, (2018-2022), supported by Ministerio de Economía y Competitividad, with grant TIN2017-88327-R.
  2. Main researcher of "Implementation of a Genetic Algorithm Strategy in Bayesian Network", (2022), through Article 83 of LOU in Complutense University of Madrid with reference 222-2022.
  3. Main researcher of "Análisis de datos sobre actividades de descanso en el trabajo", (2021-2022), funded by Universidad Nacional de Educación a Distancia (UNED) from Spain, through Article 83 of LOU in Complutense University of Madrid with reference 302-2021.
  4. Main researcher of "Analysis of attention level in video calls", (2021-2022), funded by Kellerkind UG (Haftungsbeschränkt) from Germany, through Article 83 of LOU in Complutense University of Madrid with reference 353-2021
  5. Main researcher of "Consulting in machine learning and Python programming", (2021), funded by Kellerkind UG (Haftungsbeschränkt) from Germany, through Article 83 of LOU in Complutense University of Madrid with reference 300-2021.
  6. Main researcher of "Desarrollo de una app para evaluación de estudio con mindfulness y fitness en el contexto laboral", (2021), funded by Universidad Nacional de Educación a Distancia (UNED) from Spain, through Article 83 of LOU in Complutense University of Madrid with reference 138-2021.
  7. Main researcher of “Neuroscaping Insight Engine Behavioural Scrapping Tool”, (2021), funded by Debut Group from Australia, through Article 83 of LOU in Complutense University of Madrid with reference 43-2021.
  8. Smart Cupboards
  9. Main researcher of “Utilisation of IoT and sensors in smart cities for improving quality of life of impaired people”, (2020), through Article 83 of LOU in Complutense University of Madrid with reference 52-2020.
  10. Participant of “Ciudades inteligentes totalmente integrales, eficientes y sostenibles”, (2018-2021), supported by "Programa Iberoamericano de Ciencia y Tecnología para el Desarrollo" (CYTED) , with grant 518RT0558.
  11. Main researcher of “The ME project for Pandemics”, (2020), funded by Zanzibar Shooting Stars Media company from France, through Article 83 of LOU in Complutense University of Madrid with reference 30-2020.
  12. Main researcher of “The ME project”, (2019-2020), funded by Zanzibar Shooting Stars Media company from France, through Article 83 of LOU in Complutense University of Madrid with reference 517-2019.
  13. Main researcher of “Position Estimation with Orientation Vectors”, (2019), funded by Blastability Pty Ltd company from Australia, through Article 83 of LOU in Complutense University of Madrid with reference 458-2019.
  14. Main researcher of “Advanced Automation and how it is revitalizing the manufacturing industry”, (2019), funded by Kinetic AI company from United States, through Article 83 of LOU in Complutense University of Madrid with reference 420-2019.
  15. Main researcher of “Multi-objective ant-colony optimization”, (2019), funded by Avinash Navlani individual from India, through Article 83 of LOU in Complutense University of Madrid with reference 419-2019.
  16. Main researcher of "Construcción de un framework para agilizar el desarrollo de aplicaciones móviles en el ámbito de la salud" (Creation of a framework for the development of e-health mobile applications), (2018), funded by "Convocatoria Ibercaja de Proyectos de investigación, desarrollo e innovación para jóvenes investigadores (Convocatoria 2017)", with grant JIUZ-2017-TEC-03.
  17. Participant of “Sensores vestibles y tecnología móvil como apoyo en la formación y práctica de mindfulness: prototipo previo aplicado a bienestar”, (2017), supported by University of Zaragoza, with grant UZ2017-TEC-02.
  18. Participant of “Desarrollo Colaborativo de Soluciones AAL”, (2015-2017), supported by Ministerio de Economía y Competitividad, with grant TIN2014-57028-R.
  19. Participant of “AppTIVA Fitness: Validación de un sistema de seguimiento de la actividad física basado en dispositivos móviles ”, (2015-2016), supported by Fundación Universitaria Antonio Gargallo and Obra Social IberCaja, with grant P1Y4M.
  20. Participant of "Soluciones tecnológicas para facilitar la práctica de mindfulness: caminando hacia mHealth" (2015-2016) supported by Ministerio de Economía y Competitividad, with grant TEC2013-50049-EXP.
  21. Main researcher of "Desarrollo de un sistema de información sobre las fuentes y otros elementos del patrimonio de la Comunidad de la Sierra de Albarracín" (2015), supported by Centro de Estudios de la Comunidad de Albarracín – CECAL, in collaboration with Universidad de Zaragoza (OTRI contract).
  22. Main researcher of “Desarrollo de un módulo de autenticación y monitorización biométrica de usuarios en entornos virtuales de aprendizaje”, (2013-2015), supported by Universidad a Distancia de Madrid, with grant UD-019.
  23. Participant of “AGE - Active Generation 50+”, (2013-2015), European, supported by Programa de aprendizaje permanente Programa sectorial Grundtvig, Organismo Autónomo Programas Educativos Europeos, with grant 2013-1-CZ1-GRU06-14277.
  24. Participant of “Social Ambient Assisting Living – Methods”, (2012-2014), supported by Ministerio de Ciencia e Innovación (Ministerio de Economía y Competitividad), with grant TIN2011-28335-C02-01.
  25. Coordinator of one of the teams of “Los Sistemas de Información Turística como herramientas tecnológicas para incrementar la operatividad turística de los itinerarios culturales urbanos. El centro histórico de Madrid como proyecto piloto (SIT-MAD)”, (2012-2013), supported by Fundación Hergar, with grant FH-2012-03.
  26. Participant of “Herramientas basadas en Agentes para el Modelado de Sistemas Sociales Complejos”, (2009-2011), supported by Ministerio de Ciencia e Innovación, with grant TIN2008-06464-C03-01.
  27. Participant of “Métodos y Herramientas para Modelado de Sistemas Multi-agentes”, (2006-2008), supported by Ministerio de Educación y Ciencia, with grant TIN2005-08501-C03-01.
  28. Participant of “Desarrollo de un prototipo de aplicación de agentes inteligentes en el entorno de Gestión de Tráfico Aéreo para el control de vehículos aéreos no tripulados”, (2006-2007), supported by Boeing Research and Technology Europe, UCM (art. 83 LOU).

Patents/Utility Models

  1. Utility Model "Detección Automática de Emociones a Través de Hábitos Alimentarios", ES1276072, 5 de agosto de 2021 – Boletín Oficial de la Propiedad Intelectual (pp. 32-34), U202131360, Oficina Española de Patentes y Marcas, España, Inventors: García-Magariño García, Iván; González Landero, Franks Edison.
  2. Utility Model "Conjunto de Meditación Inteligente para Enseñar, Conocer y Corregir la Postura Meditativa", ES1227019U, 26 de Marzo de 2019 – Boletín Oficial de la Propiedad Intelectual (pp. 33-34), U201930372, Oficina Española de Patentes y Marcas, España. Inventors: García-Plaza, Inmaculada; Medrano Sánchez, Carlos Tomás; Igual Catalán, Raúl; Rodríguez Ontiverso, Víctor; García-Magariño García, Iván; Cebolla i Martí, Ausías.

Publications

2024

  1. Navarro-Alamán, J., Lacuesta, R., Jimenez, J. M., Lloret, J., García-Magariño, I., Serrano, T. (2024) Ubiquitous monitoring of liver transplantation patients . International Journal of Ad Hoc and Ubiquitous Computing, 45(1), 11-25 https://doi.org/10.1504/IJAHUC.2023.10052490 (JCR SCI 2022 0.700, pos. 84/88, Q4)

2023

  1. Stitini, O., García-Magariño, I., Kaloun, S., & Becharef, O. (2023). Towards Ideal and Efficient Recommendation Systems Based on the Five Evaluation Concepts Promoting Serendipity. Journal of Advances in Information Technology, 14 (4), 701-717. (SJR 2022 0.365, Q3, H index 11)
  2. Jamali, H., Chihab, Y., García-Magariño, I., & Becharef, O. (2023). Hybrid Forex prediction model using multiple regression, simulated annealing, reinforcement learning and technical analysis. IAES International Journal of Artificial Intelligence, 12 (2), 892-911. (SJR 2022 0.402, Q2, H index 16)
  3. Navarro, J., García-Magariño, I., Gómez Sanz, J. J., Lacuesta, R., Fuentes Fernánez, R., Pavón, J. (2023) Early Detection of Abandonment Signs in Interactive Novels with a Randomized Forest Classifier. In: Bicharra García et al. (eds) Advances in Artificial Intelligence - IBERAMIA 2022, vol. 13788 of Lecture Notes in Computer Science (pp. 208-217). Springer, Cham. (GGS C)
  4. García-Magariño, I., Pita, I., Arroyo, J., López Fernández, M, Bravo-Agapito, J., Segura, C., & Lacuesta Gilaberte, R. (2023) UnitJudge: a novel online automatic correction system for long programming practices by means of unit tests. In: The 10th International and the 16th National Conference on e-Learning and e-Teaching (ICELET 2023) . IEEE. https://doi.org/10.1109/ICeLeT58996.2023.10139865
  5. Alloza-García, S., García-Magariño, I., Bravo-Agapito, J., & Lacuesta Gilaberte, R. (2023) IDSOJ: An Intrusion Detection System in Online Judges for evaluating programming exercises. In: The 10th International and the 16th National Conference on e-Learning and e-Teaching (ICELET 2023). IEEE. https://doi.org/10.1109/ICeLeT58996.2023.10139878

2022

  1. Varela-Aldás, J., Buele, J., Amariglio, R., García-Magariño, I., & Palacios-Navarro, G. (2022) The cupboard task: An immersive virtual reality-based system for everyday memory assessment . International Journal of Human-Computer Studies, 167, 102885 (JCR SCI 2022 5.4, pos. 4/24, Q1)
  2. Navarro-Alamán, J., Lacuesta, R., García-Magariño, I., & Lloret, J., (2022). EmotIoT: An IoT system to improve users’ wellbeing. Applied Sciences, 12(12), 5804. (JCR SCI 2022 2.7, pos. 42/90, Q2 )
  3. Amin, R., Nazir, S., & García-Magariño, I. (2022). Efficient sustainable algorithm for numerical solution of nonlinear delay Fredholm-Volterra integral equations via Haar wavelet for dense sensor networks in Emerging Telecommunications . Transactions on Emerging Telecommunications Technologies, 33(2), e3877 (JCR SCI 2021 3.6, pos. 45/88, Q3)
  4. Nazir, S., Khan, H. U., Shahzad, S., García-Magariño, I. (2022) Editorial on decision support system for development of intelligent applications . Soft Computing , 26, 10547-10551 (JCR SCI 2022 4.1, pos. 46/110, Q2)
  5. Navarro-Alamán, J., Lacuesta, R., García-Magariño, I., Hernández Muñoz, S. (2022) Emotional analysis for the well being of the elderly in the process of digital interaction. Revista de la Asociación Interacción Persona Ordenador, 3(2), 90-98.
  6. Oñate-López, R., Palacios-Navarro, G., & García-Magariño, I. (2022) Smart bed sensor for detection of sleep disorders in patients with Parkinson’s disease In: XV Technologies Applied to Electronics Teaching Conference (TAEE 2022) (pp. 1-4). IEEE.
  7. Navarro-Alamán, J., Lacuesta, R., García-Magariño, I. (2022) Diseño de una aplicación basada en el juego para el seguimiento de estados emocionales. In: Actas del XXII Congreso Internacional Persona-Ordenador – Interacción 2022 (pp. 97-101)
  8. Fuertes Muñoz, G., González-Landero, F., García-Magariño, I. (2022) Kina: una herramienta para retrasar la fragilidad en personas mayores In: Actas del XXII Congreso Internacional Persona-Ordenador – Interacción 2022 (pp. 142-143)

2021

  1. Kumar, S. A., García-Magariño, I., Nasralla, M. N., & Nazir, S. (2021). Agent-Based Simulators for Empowering Patients in Self-Care Programs Using Mobile Agents with Machine Learning. Mobile Information Systems, vol. 2021, Article ID 5909281, 10 pages (JCR SCI 2021 1.863, pos. 72/93, Q4)
  2. Nazir, S., García-Magariño, I., Atan, R. B., & Ali, S. (2021). Healthcare Big Data Management and Analytics in Scientific Programming. Scientific Programming, vol. 2021, Article ID 9780175 (JCR SCI 2021 1.672, position 78/110, Q3)
  3. Kumar, S.A., Nasralla, M. N., García-Magariño , I., & Kumar, H. (2021). A machine-learning scraping tool for data fusion in the analysis of sentiments about pandemics for supporting business decisions with human-centric AI explanations . PeerJ Computer Science, 7, e713, (JCR SCI 2021 2.411, pos. 48/110, Q2)
  4. Saloum, S. & García-Magariño , I., & (2021). Algorithm based on normal coordinate vectors with 16 segments for the data fusion from hand-written Arabic text implemented with MATLAB . PeerJ Computer Science, 7, e705, (JCR SCI 2021 2.411, pos. 48/110, Q2)
  5. Nasralla, M. N., García-Magariño , I., & Lloret, J. (2021). MASEMUL: A Simulation Tool for Movement-Aware MANET Scheduling Strategies for Multimedia Communications . Wireless Communications and Mobile Computing, vol. 2021, Article ID 6651402, 12 pages, (JCR SCI 2021 2.146, position 168/276, Q2)
  6. García-Magariño, I., Nasralla, M. N., & Lloret, J. (2021). A Repository of Method Fragments for Agent-Oriented Development of Learning-Based Edge Computing Systems . IEEE Network, 5(1), 156-162 (JCR SCI 2021 10.294, position 8/164, Q1, D1)
  7. Varela-Aldás, J., Buele, J. García-Magariño, I., & Palacios-Navarro, G. (2021). A Virtual Reality-Based Cognitive Telerehabilitation System for Use in the COVID-19 Pandemic . Sustainability, 13(4), 2183. (JCR SCI 2021 3.889,position 133/279, Q2)
  8. Khan, S., Nazir, S., García-Magariño, I., & Hussain, A. (2021). Deep learning-based urban big data fusion in smart cities: Towards traffic monitoring and flow-preserving fusion. Computers & Electrical Engineering, 89, 106906. (JCR SCI 2021 4.152, position 15/54, Q2)
  9. Kathryn V. Papp, Aubryn Samaroo, Hsiang-Chin Chou, Rachel Buckley, Olivia R. Schneider, Stephanie Hsieh, Daniel Soberanes, Yakeel Quiroz, Michael Properzi, Aaron Schultz, Iván García-Magariño, Gad A. Marshall, Jane G. Burke, Raya Kumar, Noah Snyder, Keith Johnson, Dorene M. Rentz, Reisa A. Sperling, Rebecca E. Amariglio (2021). Unsupervised mobile cognitive testing for use in preclinical Alzheimer's disease . Alzheimers & Dementia: Diagnosis, Assessent & Disease Monitoring, 13, e12243 (ESCI, CiteScore 7.8)
  10. González-Briones,A. , García-Magariño, I., Gómez-Sanz, J. J., Fuentes-Fernández, R., & Pavón, J. (2021) A Collaborative Platform for the Detection of Non-inclusive Situations in Smart Cities. In: Alba E. et al. (eds) Advances in Artificial Intelligence (CAEPIA 2021), vol. 12882 of Lecture Notes in Computer Science (pp. 206-215). Springer, Cham.
  11. García-Magariño, I., Pavón, J., Fuentes-Fernández, R., Gómez-Sanz, J.J. (2021) Diseño colaborativo de servicios inclusivos en ciudades inteligentes con mapas interactivos In: Escailla-Ambrosio P.J. et al. (eds) Proceedings of the IV Ibero-American Congress of Smart Cities (ICSC-CITIES 2021), vol. 12882 of Lecture Notes in Computer Science (p.p. 1153-1162). CYTED.

2020

  1. Varela-Aldás, J., Palacios Navarro, G., Amariglio, R. & García-Magariño, I. (2020). Head-Mounted Display-Based Application for Cognitive Training. Sensors, 20(22), 6552. (JCR SCI 2020 3.576, position 14/64, Q1)
  2. García-Magariño, I., Fox-Fuller, J.T., Palacios-Navarro, G., Baena, A., & Quiroz, Y.Q. (2020). Visual working memory for semantically related objects in healthy adults. Revista de Neurologia, 71(8), 277-284. (JCR SCI 2020 0.870, position 203/208, Q4)
  3. Wirza, R., Nazir, S., Khan, H. U., García-Magariño, I., & Amin, R. (2020). Augmented Reality Interface for Complex Anatomy Learning in the Central Nervous System: A Systematic Review. Journal of Healthcare Engineering, vol. 2020, Article ID 8835544, 15 pages, (JCR SCI 2020 2.682, position 53/107, Q2)
  4. Navarro-Alamán, J., Lacuesta, R., García-Magariño, I., Gallardo, J., Ibarz, E., & Lloret, J. (2020). Close2U: An App for Monitoring Cancer Patients with Enriched Information from Interaction Patterns . Journal of Healthcare Engineering, vol. 2020, Article ID 3057032, 13 pages, (JCR SCI 2020 2.682, position 53/107, Q2)
  5. Naresh, V. S., Nasralla, M. M., Reddi, S., & García-Magariño, I. (2020). Quantum Diffie–Hellman Extended to Dynamic Quantum Group Key Agreement for e-Healthcare Multi-Agent Systems in Smart Cities. Sensors, 20(14), 3940. (JCR SCI 2020 3.576, position 14/64, Q1)
  6. García-Magariño, I., Nasralla, M.M., & Nazir, S. (2020). Real-Time Analysis of Online Sources for Supporting Business Intelligence Illustrated with Bitcoin Investments and IoT Smart-Meter Sensors in Smart Cities. Electronics, 9 (7), 1101 (JCR SCI 2020 2.397, position 145/273, Q3)
  7. Nasralla, M.M., García-Magariño, I., & Lloret, J. (2020). Defenses Against Perception-Layer Attacks on IoT Smart Furniture for Impaired People. IEEE Access, 8, 119795 - 119805 (JCR SCI 2020 3.367, position 94/273, Q2)
  8. Nazir, S. Khan, S. Khan, H.U., Ali, S., García-Magariño, I., Atan, R., & Nawaz, M. (2020). A comprehensive analysis of healthcare big data management, analytics and scientific programming. IEEE Access, 8 (1), 95714-95733 (JCR SCI 2020 3.367, position 94/273, Q2)
  9. Navarro-Alamán, J., Lacuesta, R., García-Magariño, I., & Gallardo, J. (2020). A methodology for the design and development of gamified mobile apps for monitoring cancer survivors. Journal of Biomedical Informatics, 106, 103439 (JCR SCI 2020 6.317, position 3/30, Q1, D1 )
  10. García-Magariño, I., Plaza, I., Igual, R., Lombas, A.S., & Jamali, H. (2020). An agent-based simulator applied to teaching-learning process to predict sociometric indices in higher education. IEEE Transactions on Learning Technologies, 13 (2), 246-258 (JCR SCI 2020 3.720, position 45/111, Q2)
  11. García-Magariño, I., Gray, G., Lacuesta, R., & Lloret, J. (2020). Smart green communication protocols based on several-fold messages extracted from common sequential patterns in UAVs . IEEE Network, 34(3), 249-255 (JCR SCI 2020 10,693, position 5/161, Q1, D1 )
  12. García-Magariño, I., Medrano, C., & Delgado, J. (2020). Estimation of missing prices in real-estate market agent-based simulations with machine learning and dimensionality reduction methods . Neural Computing and Applications, 32, 2665-2682. (JCR SCI 2020 5.606, position 31/139, Q1)
  13. Amin, R., Nazir, S., & García-Magariño, I. (2020). A collocation method for numerical solutions of nonlinear delay integro-differential equations for WSN and Internet of Things. Sensors, 20(7), 1962. (JCR SCI 2020 3.576, position 14/64, Q1)
  14. Neri, F., & García-Magariño, I. (2020). Simulating and modeling the DAX index and the USO Etf financial time series by using a simple agent-based learning architecture . Expert Systems, 37(4), e12516. (JCR SCI 2020 2.587, position 31/110, Q2)
  15. García-Magariño, I., & Gómez-Sanz, J.J. (2020) Designing IoT services in smart cities through game-based knowledge acquisition In: Proceedings of III Ibero-American Congress of Smart Cities (ICSC-CITIES2020) (pp. 548-560), Costa Rica Institute of Technology.
  16. Fuentes, E.M., Varela-Aldás J., Palacios-Navarro, G., García-Magariño, I. (2020) Immersive Virtual Reality App to Promote Healthy Eating in Children. In: Stephanidis C., Antona M. (eds) HCI International 2020 - Posters. HCII 2020, vol. 1225 of Communications in Computer and Information Science (pp. 9-15). Springer, Cham. https://doi.org/10.1007/978-3-030-50729-9_2
  17. Shah, R., Bhatti, N., Akhtar, N., Khalil, S., & García-Magariño, I.(2020). Random Patterns Clothing Image Retrieval using Convolutional Neural Network. In 2020 International Conference on Emerging Trends in Smart Technologies (ICETST), (pp. 1-6). IEEE.
  18. Varela-Aldás, J., Fuentes, E. M., Palacios-Navarro, G., García-Magariño, I.(2020). A Comparison of Heart Rate in Normal Physical Activity vs. Immersive Virtual Reality Exergames. In Human Systems Engineering and Design II, vol. 1026 of Advances in Intelligent Systems and Computing series (pp. 684-689). Springer, Cham.

2019

  1. Nazir, S., Shahzad, S., Wirza, R., Amin, R., Ahsan, M., Mukhtar, N., García-Magariño, I., & Lloret, J. (2019). Birthmark based identification of software piracy using Haar wavelet. Mathematics and Computers in Simulation, 166, 144-154 (JCR SCI 2019 1.620, percentile 74.038%, Q2)
  2. Nazir, S., Ali, Y., Ullah, N., & García-Magariño, I. (2019). Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review . Wireless Communications and Mobile Computing, vol. 2019, Article ID 5931315, 20 pages, (JCR SCI 2019 1.819, percentile 42.669%, Q3)
  3. García-Magariño, I., Plaza, I., & Neri, F. (2019). ABS-MindBurnout: An agent-based simulator of the effects of mindfulness-based interventions on job burnout. Journal of Computational Science, 36, 101012 (JCR SCI 2019 2.644, percentile 74.537%, Q2)
  4. García-Magariño, I., Muttukrishnan, R., & Lloret, J. (2019). Human-centric AI for trustworthy IoT systems with explainable multilayer perceptrons . IEEE Access, 7 (1), 125562-125574 (JCR SCI 2019 3.745, percentile 77.885%, Q1)
  5. García-Magariño, I., Sendra, S., Lacuesta, R. & Lloret, J. (2019). Security in vehicles with IoT by prioritization rules, vehicle certificates and trust management. IEEE Internet of Things Journal, 6 (4), 5927-5934 (JCR SCI 2019 9.936, percentile 98.397%, Q1, D1 )
  6. González-Landero, F., García-Magariño, I., Amariglio, R., & Lacuesta, R. (2019). Smart Cupboard for Assessing Memory in Home Environment. Sensors, 19(11), 2552. (JCR SCI 2019 3.275, percentile 77.344%, Q1)
  7. García-Magariño, I., Sarkar, D., & Lacuesta, R. (2019). Wearable Technology and Mobile Applications for Healthcare. Mobile Information Systems, vol. 2019, Article ID 6247094, 2 pages (JCR SCI 2019 1.508, percentile 24.679%, Q4)
  8. García-Magariño, I., Cerezo, E., Plaza, I., & Chittaro, L. (2019). A mobile application to report and detect 3D body emotional poses. Expert Systems with Applications, 122, 207-216 (JCR SCI 2019 5.452, percentile 98.193%, Q1, D1)
  9. García-Magariño, I., Lacuesta, R., Rajarajan, M., & Lloret, J. (2019). Security in networks of unmanned aerial vehicles for surveillance with an agent-based approach inspired by the principles of blockchain. Ad Hoc Networks, 86, 72-82 (JCR SCI 2019 3.643, percentile 75.321%, Q1 )
  10. García-Magariño, I., Varela-Aldas, J., Palacios-Navarro, G, & Lloret, J. (2019). Fog computing for assisting and tracking elder patients with neurodegenerative diseases. Peer-to-Peer Networking and Applications, 12 (5), 1225-1235 (JCR SCI 2019 2.793, percentile 58.654%, Q2) (Free Link to share some time since March 13, 2019: https://rdcu.be/bqRaq)
  11. García-Magariño, I., González-Landero, F., Amariglio, R. & Lloret, J. (2019). Collaboration of smart IoT devices exemplified with smart cupboards . IEEE Access, 7(1), 9881-9892 (JCR SCI 2019 3.745, percentile 77.885%, Q1)
  12. Varela-Aldás, J., Palacios-Navarro, G., & García-Magariño, I. (2019). Immersive Virtual Reality App for Mild Cognitive. Iberan Journal of Information Systems and Technologies, 19, 278-290. (SJR 2019 0.145, Q4, H index 13)
  13. García-Magariño, I., Gray, G., Muttukrishnan, R., & Asif, W. (2019). Agent-based IoT Coordination for Smart Cities Considering Security and Privacy . In 2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS). Granada, Spain, October 22-25, 2019. IEEE.
  14. Navarro-Alamán, J., Lacuesta, R., García-Magariño, I., & Gallardo, J. (2019). Close2U: An App for Monitoring Cancer Patients with a Gamification System to Improve the Engagement. In 13th International Conference on Ubiquitous Computing and Ambient Intelligence UCAmI 2019, Proceedings 2019, 31 (1), 68. MDPI.
  15. Varela-Aldás, J., Palacios-Navarro, G., García-Magariño, I., & Fuentes E. M. (2019). Effects of Immersive Virtual Reality on the Heart Rate of Athlete’s Warm-Up. In AVR 2019: Augmented Reality, Virtual Reality, and Computer Graphics, vol. 11613 of Lecture Notes in Computer Science (pp. 175-185). Springer, Cham.
  16. García-Magariño, I., Cárdenas, M., Gómez-Sanz, J., & Pérez Díez (2019). Framework-supported mechanism of testing algorithms for assessing memory and detecting disorientation from IoT sensors . In 5th IEEE World Forum on Internet of Things (WF-IoT) 2019. Limerick, Ireland, April 15-18 2019. IEEE.
  17. Fuller, J.T., García-Magariño, I., Baena, A., Artola, A., Palacios-Navarro, P., & Quiroz, Y.T. (2019). Differences in the Relation Between Education and Reaction Time on a Mobile-Based Cognitive Assessment of Working Memory: Results from Spain and Colombia . In Latinos and Alzheimers Disease Symposium: Understanding Risk, Prevention, and Care Strategies. San Juan, Puerto Rico, USA, April 26-27 2019. Alzheimer's Association.
  18. Ibarz Montaner, E., María Salinas Baldellou, A., Gil Herrando, E., García-Magariño García, I., & López Torres, A. M. (2019). Methodology for implementing University Orientation Programme (POU) in blended learning approach [Metodología para la Implementación de Plan de Orientación Universitaria (POU) en docencia semipresencial]. In Guidance and Quality of University Education [Orientación y calidad educativa universitarias, Ed. Allueva Torres, P., ISBN: 978-84-16723-62-1, doi: http://dx.doi.org/10.26754/uz.978-84-16723-62-1 UNE

2018

  1. González-Landero, F., García-Magariño, I., Lacuesta, R. & Lloret, J. (2018). Green Communication for Tracking Heart Rate with Smartbands. Sensors, 18(8), 2652. (JCR SCI 2018 3.031, percentile 76.230%, Q1 )
  2. González-Landero, F., García-Magariño, I., Lacuesta, R., & Lloret, J. (2018). ABS-DDoS: an agent-based simulator about strategies of both DDoS attacks and their defenses, to achieve efficient data forwarding in sensor networks and IoT devices . Wireless Communications and Mobile Computing, vol. 2018, Article ID 7264269, 11 pages, (JCR SCI 2018 1.396, percentile 30.263%, Q3)
  3. García-Magariño, I., Gray, G., Lacuesta, R. & Lloret, J. (2018). Survivability strategies for emerging wireless networks with data mining techniques: a case study with NetLogo and RapidMiner . IEEE Access, 6, 27958-27969 (JCR SCI 2018 4.098, percentile 85.484%, Q1)
  4. García-Magariño, I., Lacuesta, R. & Lloret, J. (2018). ABS-SmartComAgri: An Agent-Based Simulator of Smart Communication Protocols in Wireless Sensor Networks for Debugging in Precision Agriculture. Sensors, 18(4), 998. (JCR SCI 2018 3.031, percentile 76.230%, Q1 )
  5. García-Magariño, I., Palacios-Navarro, G., Lacuesta, R. & Lloret, J. (2018). ABSCEV: An agent-based simulation framework about smart transportation for reducing waiting times in charging electric vehicles. Computer Networks, 138, 119-135 (JCR SCI 2018 3.030, percentile 75.962%, Q1)
  6. González-Landero, F., García-Magariño, I., Lacuesta, R. & Lloret, J. (2018). PriorityNet App: A mobile application for establishing priorities in the context of 5G ultra-dense networks. IEEE Access, 6, 14141-14150 (JCR SCI 2018 4.098, percentile 85.484%, Q1)
  7. García-Magariño, I., Chittaro, L., & Plaza, I. (2018). Bodily sensation maps: exploring a new direction for detecting emotions from user self-reported data . International Journal of Human-Computer Studies, 113, 32-47 (JCR SCI 2018 2.006, percentile 63.043%, Q2)
  8. García-Magariño, I., Lacuesta, R. & Lloret, J. (2018). Agent-based simulation of smart beds with Internet-of-Things for exploring big data analytics . IEEE Access, 6, 366-379 (JCR SCI 2018 4.098, percentile 85.484%, Q1)
  9. Chicaiza, F. A., Lema-Cerda, L., Álvarez, V. M., Andaluz, V. H., Varela-Aldás, J., Palacios-Navarro, G. & García-Magariño, I. (2018). Virtual Reality-Based Memory Assistant for the Elderly. In AVR 2018: Augmented Reality, Virtual Reality, and Computer Graphics, vol. 10850 of Lecture Notes in Computer Science (pp. 269-284). Springer, Cham.
  10. García-Magariño, I., Gonzalez Bedia, M., & Palacios-Navarro, P. (2018). FAMAP: A Framework for Developing m-Health Apps. In WorldCIST'18 2018: Trends and Advances in Information Systems and Technologies, vol. 745 of Advances in Intelligent Systems and Computing (pp. 850-859). Springer, Cham
  11. Guillén-Gámez, F. D., García-Magariño, I., & Palacios-Navarro, P. (2018). Comparative analysis between different facial authentication tools for assessing their integration in m-Health mobile applications. In WorldCIST'18 2018: Trends and Advances in Information Systems and Technologies, vol. 746 of Advances in Intelligent Systems and Computing (pp. 1153-1161). Springer International Publishing.

2017

  1. García-Magariño, I., & Lacuesta, R. (2017). ABS-SmartPriority: An Agent-Based Simulator of Strategies for Managing Self-Reported Priorities in Smart Cities . Wireless Communications and Mobile Computing, vol. 2017, Article ID 7254181, 9 pages (JCR SCI 2017 0.869, percentile 19.038%, Q4)
  2. García-Magariño, I., Lacuesta, R. & Lloret, J. (2017). ABS-FishCount: An Agent-Based Simulator of Underwater Sensors for Measuring the Amount of Fish. Sensors, 17(11), 2606. (JCR SCI 2017 2.475, percentile 74.590%, Q2 )
  3. García-Magariño, I., Lombas, A. S., Plaza, I., & Medrano, C., (2017). ABS-SOCI: An Agent-Based Simulator of Student Sociograms. Applied Sciences, 7(11), 1126. (JCR SCI 2017 1.689, percentile 47.603%, Q3 )
  4. Guillén-Gámez, F. D., García-Magariño, I., Bravo-Agapito, J. Lacuesta, R. & Lloret, J. (2017). A proposal to improve the authentication process in m-health environments . IEEE Access, 5 (1), 22530-22544 (JCR SCI 2017 3.577, percentile 84.122%, Q1)
  5. García-Magariño, I., & Lacuesta, R. (2017). ABS-TrustSDN: An agent-based simulator of trust strategies in software-defined networks . Security and Communication Networks, vol. 2017, Article ID 8575842, 9 pages, doi:10.1155/2017/8575842 (JCR SCI 2017 0.904, percentile 17.905%, Q4)
  6. García-Magariño, I., Palacios-Navarro, G., & Lacuesta, R. (2017). TABSAOND: A technique for developing agent-based simulation apps and online tools with nondeterministic decisions. Simulation Modelling Practice and Theory, 77, 84-107 (JCR SCI 2017 2.092, percentile 80.288%, Q1)
  7. Plaza García, I., Medrano Sánchez, C., Sánchez Espílez, A., García-Magariño, I., Azuara Guillén, G., & García-Campayo, J. (2017). Development and initial evaluation of a mobile application to help with mindfulness training and practice. International Journal of Medical Informatics, 105, 59-67 (JCR SCI 2017 2.957, percentile 78.191%, Q1)
  8. García-Magariño, I., & Lacuesta, R. (2017). Agent-based simulation of real-estate transactions. Journal of Computational Science, 21, 60-76 (JCR SCI 2017 1.925, percentile 71.359%, Q2)
  9. Lacuesta, R., Garcia, L., García-Magariño, I., & Lloret, J. (2017). System to Recommend the Best Place to Live Based on Wellness State of the User Employing the Heart Rate Variability. IEEE Access, 5 (1), 10594-10604. (JCR SCI 2017 3.577, percentile 84.122%, Q1)
  10. García-Magariño, I., & Plaza, I. (2017). ABSEM: An agent-based simulator of emotions in mindfulness programs. Expert Systems with Applications, 84, 49-57 (JCR SCI 2017 3.768, percentile 90.964%, Q1, D1)
  11. Medrano, C., Igual, R., García-Magariño, I., Plaza, I., & Azuara, G. (2017). Combining novelty detectors to improve accelerometer-based fall detection . Medical & Biological Engineering & Computing, 55 (10), 1849-1858 (JCR SCI 2017 1.971, percentile 68.644%, Q2)
  12. García-Magariño, I., & Plaza, I. (2017). ABS-MindHeart: An agent based simulator of the influence of mindfulness programs on heart rate variability. Journal of Computational Science, 19, 11-20 (JCR SCI 2017 1.925, percentile 71.359%, Q2)
  13. Guillén-Gámez, F. D., Bravo-Agapito, J., & García-Magariño, I.(2017). Students’ Perception of the Importance of Facial Authentication Software in Moodle Tools . International Journal of Engineering Education, 33 (1A), 84-90. (JCR SCI 2017 0.575, percentile 15.698%, Q4)
  14. Sainz-Martín, E., Igual-Catalán, R., Plaza-García, I., García-Magariño, I., Ibañez-Álvarez, F., Arcega-Solsona, F. (2017). Proposal to Apply a Code of Good Teaching Practice in Engineering . IEEE Revista Iberoamericana de Technologias del Aprendizaje, 12(3), 116-123.
  15. García-Magariño, I., Plaza, I., Delgado Gracia, J., Lacuesta, R., Igual, R., Bielsa-Hernández, J., & Álvarez-Arguedas, D. (2017). Using big data for improving students' skills in the development of scalable decision support systems , 9th International Conference on Education and New Learning Technologies, EDULEARN17 Proceedings (pp. 2853-2862), IATED Academy
  16. Igual, R., Marcuello, J. J. Plaza, I., García-Magariño, I., Sáinz, E., Aragües, R., Mestre, M., Arcega, F. J. (2017). Herramienta libre para el aprendizaje del efecto de los armónicos en los sistemas de potencia, XXIV Seminario annual de automática, electrónica industrial e instrumentación, SAAEI 2017 (p. 43), Universidad de Valencia.

2016

  1. García-Magariño, I., Medrano, C., Plaza, I., & Oliván, B. (2016). A smartphone-based system for detecting hand tremors in unconstrained environments. Personal and Ubiquitous Computing, 20 (6), 959-971. (JCR SCI 2016 2.395, percentile 67.466%, Q2)
  2. García-Magariño, I. & Palacios-Navarro, G. (2016). ATABS: A technique for automatically training agent-based simulators. Simulation Modelling Practice and Theory, 66, 174-192. (JCR SCI 2016 1.954, percentile 72.170%, Q2)
  3. García-Magariño, I., Medrano, C., Lombas, A. S., & Barrasa, A. (2016). A hybrid approach with agent-based simulation and clustering for sociograms. Information Sciences, 345, 81-95. (JCR SCI 2016 4.832, percentile 95.548%, Q1, D1 )
  4. Palacios-Navarro, G., Albiol-Pérez, S., García-Magariño García, I. (2016). Effects of sensory cueing in virtual motor rehabilitation. A review. Journal of Biomedical Informatics, 60, 49-57. (JCR SCI 2016 2.753, percentile 76.667%, Q1)
  5. García-Magariño, I., & Palacios-Navarro, G. (2016). A model-driven approach for constructing ambient assisted-living multi-agent systems customized for Parkinson patients. Journal of Systems and Software, 111, 34-48. (JCR SCI 2016 2.444, percentile 79.717%, Q1)
  6. García-Magariño, I., Plaza, I., Igual, R., & Lombas, A. S. (2016). Towards Agent-Based Simulation Support for Training Teachers. Lectures on Modelling and Simulation, 2, 66-77. (Selection at the AMSE Conferences-2016)
  7. Esther Sainz-Martín, Raúl Igual-Catalán, Inmaculada Plaza-García, Iván García-Magariño, Francisco Ibañez-Álvarez, Francisco Arcega-Solsona (2016). Propuesta de Aplicación de un Código de Buenas Prácticas Docentes en la Ingeniería. VAEP-RITA, 4(1), 9-16.
  8. García-Magariño, I., Plaza, I., Igual, R., & Lombas, A. S. (2016). Designing teaching strategies with an agent-based simulator . In Modeling and Simulation in Engineering, Economics and Management, vol. 254 of Lecture Notes in Business Information Processing (pp. 1865-1348). Springer International Publishing.
  9. J.I. Laguna, R. León, R. Igual, C.L. Guerrero, I. García-Magariño, R. González (2016). Smartphone experiences in multidisciplinary teaching . In 9th annual International Conference of Education, Research and Innovation, ICERI2016 Proceedings (pp. 1114-1120 ), IATED.
  10. R. Aragües, R. Igual, J. Gallardo, E. Ibarz, E. Gil, I. García-Magariño, R. Lacuesta, E. Barón, B. Garzón, C. Valenzuela, R. Maicas, I. Plaza (2016). Tutoring and Mentoring in Engineering Higher Education: Towards a smartphone-based approach . In 9th annual International Conference of Education, Research and Innovation, ICERI2016 Proceedings (pp. 8547-8554), IATED.
  11. León, R., Igual Catalán, R., Laguna Andrés, J. I., Guerrero-Luchtenberg, C. L., García-Magariño, I., González Val, R., (2016). Using smartphones in classroom learning experiences. In 8th International Conference on Education and New Learning Technologies, EDULEARN16 Proceedings (pp. 1518-1523), IATED Academy.
  12. Igual Catalán, R., Marcuello, J. J., Medrano, C., Plaza, I., García-Magariño, I., Arcega, F. J.(2016). Experiences using free software simulation tools in engineering higher education. In 8th International Conference on Education and New Learning Technologies, EDULEARN16 Proceedings (pp. 8653-8662), IATED Academy.

2015

  1. Guillén-Gámez, F. D., García-Magariño, I., Bravo, J., & Plaza, I. (2015). Exploring the influence of facial verification software on student academic performance in online learning environments. International Journal of Engineering Education, 31 (6A), 1622-1628. (JCR SCI 2015 0.559, pos. 61/85, Q3)
  2. García-Magariño, I., Gómez-Rodríguez, A., González-Moreno, J. C., & Palacios-Navarro, G. (2015). PEABS: a Process for developing Efficient Agent-Based Simulators. Engineering Applications of Artificial Intelligence, 46, 104-112. (JCR SCI 2015 2.368, pos. 10/85, Q1)
  3. García-Magariño, I. & Plaza, I. (2015). FTS-SOCI: an agent-based framework for simulating teaching strategies with evolutions of sociograms. Simulation Modelling Practice and Theory, 57, 161-178. (JCR SCI 2015 1.482, pos. 22/106, Q1)
  4. García-Magariño, I. (2015). ABSTUR: an Agent-based Simulator for Tourist Urban Routes. Expert Systems with Applications, 42, 5287-5302. (JCR SCI 2015 2.981, pos. 6/82, Q1, D1)
  5. García-Magariño, I. & Palacios-Navarro, G. (2015). A Technique for Metamodeling Diagram Types with Tool Support. Arabian Journal for Science and Engineering, 40(5), 1359-1373. (JCR SCI 2015 0.728, pos. 33/63, Q3)
  6. Palacios-Navarro, G., García-Magariño, I., & Ramos-Lorente P. (2015). A Kinect-Based System for Lower Limb Rehabilitation in Parkinson's Disease Patients: a Pilot Study. Journal of Medical Systems, 39, 103. (SJR 2015 0.72, Q1, H index 44)(JCR SCI 2014 2.213, pos. 7/24, Q2)
  7. Guillén-Gámez, F. D. & García-Magariño, I. (2015). Use of facial authentication in E-learning: a study of how it affects students in different Spanish-speaking areas. International Journal of Technology Enhanced Learning, 7(3), 264-280. (SJR 2015 0.806, Q1, H index 11)
  8. Guillén-Gámez, F. D., García-Magariño, I., Romero, S.J. (2015). Analysis of the Perception of Students about Biometric Identification . International Journal of Web-Based Learning and Teaching Technologies, 10(3), 1-18. (SJR 2015 0.145, Q4, H index 4)
  9. Guillén-Gámez, F. D. & García-Magariño, I. (2015). A technique for designing glossary activities with facial authentication . Journal of e-Learning and Knowledge Society, 11(1), 125-138. (SJR 2015 0.166, Q3, H index 8)
  10. Bravo, J. & García-Magariño, I. (2015). A methodology for elaborating activities for higher education in 3D virtual worlds. Journal of Interactive Learning Research, 26(1), 23-38. (SJR 2015 0.156, Q4, H index 18)
  11. Palacios-Navarro, G, García-Magariño, I., & Ramos-Llorente, P. (2015). Educational Experiences in the Design of Competency-based Programs in Engineering Education. Lecturers and Students Points of View. In Research in Engineering Education Symposium 2015 (REES 2015). (CORE A)
  12. Palacios-Navarro, G, Albiol-Pérez, S. & García-Magariño, I. (2015). A Kinect-based Virtual Reality System for Parkinson Disease Rehabilitation. In New Contributions in Information Systems and Technologies, vol. 353 of Advances in Intelligent Systems and Computing (pp. 1133-1139), Springer International Publishing.
  13. Palacios-Navarro, G, Albiol-Pérez, S. & García-Magariño, I. (2015). Student participation in researching projects: A practical experience. In New Contributions in Information Systems and Technologies, vol. 353 of Advances in Intelligent Systems and Computing (pp. 1193-1199), Springer International Publishing.
  14. León, R., Laguna Andrés, J. I., Guerrero-Luchtenberg, C. L., García-Magariño, I., Ritacco Real, M., Igual Catalán, R. (2015). Prisoner's dilemma in multidisciplinary education. In 7th International Conference on Education and New Learning Technologies, EDULEARN15 Proceedings (pp. 2340-1117), IATED.

2014

  1. García-Magariño, I. (2014). Towards the integration of the agent-oriented modeling diversity with a powertype-based language. Computer Standards & Interfaces, 36 (6), 941-952. (JCR SCI 2014 0.879, pos. 24/50, Q2)
  2. Guillén-Gámez, F.D., García-Magariño, I., & Prieto-Preboste, S. (2014). Facial Authentication within Moodle Lessons. Contemporary Engineering Sciences, 7(8), 391-395. (SJR 2014 0.187, Q3, H index 5)
  3. García-Magariño, I. (2014). Practical multi-agent system application for simulation of tourists in Madrid routes with INGENIAS. In Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, vol. 8473 of Lecture Notes in Computer Science (pp. 122-133). Springer Berlin Heidelberg. (CSCR 0.56, pos. 52/701)
  4. Guillén-Gámez, F. D., & García-Magariño, I. (2014). Study on the perception of face authentication according to the age of learners. In Proceedings of the 6th annual International Conference on Education and New Learning Technologies (EDULEARN14), (pp. 4824-4833). International Association of Technology, Education and Development.
  5. Labayen, M., Vea, R., Flórez, J., Guillén-Gámez, F.D., & García-Magariño, I. (2014). Smowl: a tool for continuous student validation based on face recognition for online learning. In Proceedings of the 6th annual International Conference on Education and New Learning Technologies (EDULEARN14), (pp. 5354-5359). International Association of Technology, Education and Development.
  6. Guillén-Gámez, F.D., & García-Magariño, I. (2014). Facial authentication before and after applying the Smowl tool in Moodle. In Distributed Computing and Artificial Intelligence, 11th International Conference, vol. 290 of Advances in Intelligent and Soft-Computing (pp. 173-180), Springer Berlin Heidelberg.
  7. Guillén-Gámez, F.D., & García-Magariño, I. (2014). A study of the acceptance of facial authentication in distance education in different Spanish speaking countries. In Proceedings of the 6th International Conference on Computer Supported Education (CSEDU 2014) (vol. 1, pp. 392-397). INSTICC – Institute for Systems and Technologies of Information, Control and Communication.
  8. Guillén-Gámez, F.D., & García-Magariño, I. (2014). Facial authentication considering the different kinds of activities in Moodle and its plugins. In Proceedings of 8th International Technology, Education and Development Conference (INTED 2014) (pp. 5451-5460). International Association of Technology, Education and Development.
  9. Wagner, O.F., Rubio, J. L., & García-Magariño, I. (2014). La geolocalización en la educación [The Geolocation in education] . In Proceedings of Ikasnabar 2014 - 7th International Conference on Open Education and Technology, (pp. 196-211).

2013

  1. García-Magariño, I., & Gutiérrez, C. (2013). Agent-oriented modeling and development of a system for crisis management. Expert Systems with Applications, 40 (16), 6580–6592. (JCR SCI 2013 1.965, pos. 11/79, Q1)
  2. Gutiérrez, C., García-Magariño, I., Serrano, E., & Botía, J. A. (2013). Robust design of multi-agent system interactions: A testing approach based on pattern matching. Engineering Applications of Artificial Intelligence, 26(9), 2093-2104. (JCR SCI 2013 1.962, pos. 15/87, Q1)
  3. Gutiérrez, C., & García-Magariño, I. (2013). A measurement approach for overcoming unbalanced overwork in multi-agent systems. International Journal on Artificial Intelligence Tools, 22(04), 1350026.1 – 1350026.28, (JCR 2013 0.321, pos. 114/121, Q4)
  4. García-Magariño, I. (2013). A collection of method fragments automated with model transformations in agent-oriented modeling. Engineering Applications of Artificial Intelligence, 26(3), 1131-1148. (JCR SCI 2013 1.962, pos. 15/87, Q1)
  5. García-Magariño, I. (2013). Defining and Transforming Models of Parkinson Patients in the Development of Assisted-Living Multi-agent Systems with INGENIAS. In Highlights on Practical Applications of Agents and Multi-Agent Systems, vol. 365 of Communications in Computer and Information Science (pp. 460-471). Springer Berlin Heidelberg. (CSCR 0.56, pos. 52/701)
  6. García-Magariño, I., & Gómez-Sanz, J. J. (2013). An Ontological and Agent-Oriented Modeling Approach for the Specification of Intelligent Ambient Assisted Living Systems for Parkinson Patients. In Hybrid Artificial Intelligent Systems, vol. 8073 of Lecture Notes in Computer Science (pp. 11-20). Springer Berlin Heidelberg.
  7. Guillén-Gámez, F.D., García-Magariño, I., & Rubio, J.L. (2013). Towards facial recognition in online education. In Proceedings of Ikasnabar 2013, the 6th International Conference on Open Education and Technology (pp. 98-112).

2012

  1. Mora-Nebra, J., García-Magariño, I., & Rubio-Sánchez J.L. (2012). A technique for using Moodle in special education (In Spanish Una técnica de uso de Moodle en educación especial). In Proceedings of the SPDECE-2012. Ninth Multidisciplinary symposium on the design and evaluation of digital content for education (pp. 373-384). Universidad de Alicante
  2. García-Magariño I. (2012) Final work of artificial intelligence with presentation in Elluminate (In Spanish Trabajo Final de Inteligencia Artificial con Presentación en Elluminate), In A. Landeta-Etxeberria (Ed.), Global E-Learning (pp. 542-545). Madrid, Spain: Ediciones CEF.

2011

  1. Gutierrez, C., & García-Magariño, I. (2011). Revealing bullying patterns in multi-agent systems. Journal of Systems and Software, 84(9), 1563-1575. (JCR 2011 0.836, pos. 42/99, Q2)
  2. Gutiérrez, C., & García-Magariño, I. (2011). Modular design of a hybrid genetic algorithm for a flexible job–shop scheduling problem. Knowledge-Based Systems, 24(1), 102-112. (JCR 2011 2.422, pos. 15/111, Q1)
  3. Gutiérrez, C., García-Magariño, I., & Fuentes-Fernández, R. (2011). Detection of undesirable communication patterns in multi-agent systems. Engineering Applications of Artificial Intelligence, 24(1), 103-116. (JCR 2011 1.655, pos. 10/90, Q1)
  4. García-Magariño, I. (2011). A set of method fragments for developing multi-agent systems assisted with model transformations. In Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on (pp. 30-35). IEEE. (CORE C)
  5. Gutiérrez, C., & García-Magariño, I. (2011). An Exploratory Analysis for Designing Robust Interactions in Multi-Agent Systems. In Advances on Practical Applications of Agents and Multiagent Systems, vol. 88 of Advances in Intelligent and Soft Computing (pp. 225-230). Springer Berlin Heidelberg. (CSCR 0.56, pos. 52/701)
  6. García-Magariño, I., Gómez-Sanz, J. J., & Fuentes-Fernández, R. (2011). Model transformations for improving multi-agent system development in INGENIAS. In Agent-Oriented Software Engineering X, vol. 6038 of Lecture Notes in Computer Science (pp. 51-65). Springer Berlin Heidelberg.(CiteSeer 1.57, pos. 91/1126, top 7,5%) (CORE B)
  7. García-Magariño, I., & Bravo, J. (2011). Software Engineering and Criminology Practices: Collaborative Works on Second Life. In Proceedings of the 3rd International Conference on Education and New Learning Technologies, EDULEARN11 (pp. 2229-2238). International Association of Technology, Education and Development
  8. Bravo, J., & García-Magariño, I. (2011, June). A technique for designing learning activities in virtual environments. In World Conference on Educational Multimedia, Hypermedia and Telecommunications (ED-MEDIA) (Vol. 2011, No. 1, pp. 923-931). Association of the Advancement of Computing in Education. (CORE B)
  9. García-Magariño, I. (2011), Data Structures (In Spanish Estructuras de Datos). Madrid, Spain: Edciones CEF.

2010

  1. García-Magariño, I., Fuentes-Fernández, R., & Gómez-Sanz, J. J. (2010). A framework for the definition of metamodels for Computer-Aided Software Engineering tools. Information and Software Technology, 52(4), 422-435. (JCR 2010 1.527, pos. 23/99, Q1)
  2. Fuentes-Fernández, R., García-Magariño, I., Gómez-Rodríguez, A. M., & González-Moreno, J. C. (2010). A technique for defining agent-oriented engineering processes with tool support. Engineering Applications of Artificial Intelligence, 23(3), 432-444. (JCR 2010 1.352, pos. 21/87, Q1)
  3. Gutierrez, C., & García-Magariño, I. (2010). Detection of overworked agents in INGENIAS. In Advances in Practical Applications of Agents and Multiagent Systems, vol. 70 of Advances in Intelligent and Soft Computing (pp. 113-118). Springer Berlin Heidelberg. (CSCR 0.56, pos. 52/701)
  4. García-Magariño, I., Cossentino, M., & Seidita, V. (2010, March). A metrics suite for evaluating agent-oriented architectures. In Proceedings of the 2010 ACM Symposium on Applied Computing (pp. 912-919). ACM. (ERA B) (CSCR 0.85) (CiteSeer 0.31, pos. 782/1221, top 64,04%)
  5. Gutierrez, C., & García-Magariño, I. (2010). Extraction of execution patterns in multi-agent systems. Latin America Transactions, IEEE (Revista IEEE America Latina), 8(3), 311-317. (SJR 2010 0.149, Q3, H index 4)

2009

  1. García-Magariño, I., & Fuentes-Fernández, R. (2009). A Technique for Defining Metamodel Translations. IEICE transactions on information and systems, 92(10), 2043-2052. (JCR SCI 2009 0.396, pos. 104/116, Q4)
  2. García-Magariño, I., Fuentes-Fernández, R., & Gómez-Sanz, J. J. (2009). Guideline for the definition of EMF metamodels using an Entity-Relationship approach. Information and Software Technology, 51(8), 1217-1230. (JCR SCI 2009 1.821, pos. 19/93, Q1)
  3. García-Magariño, I., Gómez-Sanz, J. J., & Fuentes-Fernández, R. (2009). Model transformation by-example: an algorithm for generating many-to-many transformation rules in several model transformation languages. In Theory and Practice of Model Transformations, vol. 5563 of Lecture Notes in Computer Science (pp. 52-66). Springer Berlin Heidelberg. (ERA B)
  4. García-Magariño, I., Gutiérrez, C., & Fuentes-Fernández, R. (2009). The INGENIAS Development Kit: a practical application for crisis-management. In Bio-Inspired Systems: Computational and Ambient Intelligence, vol. 5517 of Lecture Notes in Computer Science (pp. 537-544). Springer Berlin Heidelberg. (CORE B) (CSCR 0.55, pos. 55/701) (CiteSeer 0.16, pos. 975/1221, top 79,85%)
  5. Gutiérrez, C., García-Magariño, I., & Gómez-Sanz, J. J. (2009). Evaluation of Multi-Agent System Communication in INGENIAS. In Bio-Inspired Systems: Computational and Ambient Intelligence, vol. 5517 of Lecture Notes in Computer Science (pp. 619-626). Springer Berlin Heidelberg. (CORE B) (CSCR 0.55, pos. 55/701) (CiteSeer 0.16, pos. 975/1221, top 79,85%)
  6. García-Magariño, I., Gómez-Sanz, J., & Fuentes-Fernández, R. (2009, January). INGENIAS development process assisted with chains of transformations. In Bio-Inspired Systems: Computational and Ambient Intelligence, vol. 5517 of Lecture Notes in Computer Science (pp. 40-49). Springer Berlin Heidelberg. (CORE B) (CSCR 0.55, pos. 55/701) (CiteSeer 0.16, pos. 975/1221, top 79,85%)
  7. Atemezing, G., García-Magariño, I., & Pavón, J. (2009). The Delphi Process Applied to African Traditional Medicine. In Bio-Inspired Systems: Computational and Ambient Intelligence, vol. 5517 of Lecture Notes in Computer Science (pp. 545-552). Springer Berlin Heidelberg. (CORE B) (CSCR 0.55, pos. 55/701) (CiteSeer 0.16, pos. 975/1221, top 79,85%)
  8. García-Magariño, I., Gómez-Sanz, J. J., & Pérez-Agüera, J. R. (2009). A complete-computerised delphi process with a multi-agent system. In Programming Multi-Agent Systems, vol. 5442 of Lecture Notes in Artificial Intelligence (pp. 120-135). Springer Berlin Heidelberg.(ERA B)
  9. García-Magariño, I., Gómez-Sanz, J., & Fuentes-Fernández, R. (2009). INGENIAS development assisted with model transformation By-Example: A practical case. In 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009), vol. 55 of Advances in Intelligent and Soft Computing (pp. 40-49). Springer Berlin Heidelberg. (CSCR 0.56, pos. 52/701)
  10. García-Magariño, I., Rougemaille, S., Fuentes-Fernández, R., Migeon, F., Gleizes, M. P., & Gómez-Sanz, J. (2009). A tool for generating model transformations by-example in multi-agent systems. In 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009), vol. 55 of Advances in Intelligent and Soft Computing (pp. 70-79). Springer Berlin Heidelberg. (CSCR 0.56, pos. 52/701)
  11. Gutierrez, C., & Garcia-Magariño, I. (2009). A Metrics Suite for the Communication of Multi-agent Systems. Journal of Physical Agents, 3(2), 7-14. (SJR 2010 0.000, Q4, H Index 4)
  12. García-Magariño, I., Gómez-Rodríguez, A., & González-Moreno, J. C. (2009). Definition of process models for agent-based development. In Agent-Oriented Software Engineering IX, vol. 5386 of Lecture Notes in Computer Science (pp. 60-73). Springer Berlin Heidelberg. (CiteSeer 1.57, pos. 91/1221, top 7.45%) (CORE B)
  13. García-Magariño, I., Gómez-Sanz, J. J., & Fuentes-Fernández, R. (2009). An evaluation framework for MAS modeling languages based on metamodel metrics. In Agent-Oriented Software Engineering IX, vol. 5386 of Lecture Notes in Computer Science (pp. 101-115). Springer Berlin Heidelberg. (CiteSeer 1.57, pos. 91/1221, top 7.45%) (CORE B)
  14. García-Magariño, I., Gómez-Rodríguez, A., & González-Moreno, J. C. (2009, January). Modeling processes of AOSE methodologies by means of a new editor. In International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008), vol. 50 of Advances in Soft Computing (pp. 672-681). Springer Berlin Heidelberg.
  15. García-Magariño, I., Gómez-Rodríguez, A., Gómez-Sanz, J., & González-Moreno, J. C. (2009, January). Ingenias-SCRUM development process for multi-agent development. In International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008), vol. 50 of Advances in Soft Computing (pp. 108-117). Springer Berlin Heidelberg.
  16. García-Magariño, I. (2009, January). Towards the Coexistence of Different Multi-Agent System Modeling Languages with a Powertype-Based Metamodel. In International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008), vol. 50 of Advances in Soft Computing (pp. 189-193). Springer Berlin Heidelberg.

2008

  1. García-Magariño, I., Rougemaille, S., Fuentes-Fernández, R., Migeon, F., Pavón, J., & Gleizes, M. P.. (2008). Towards Agent-Oriented Model Driven Engineering. In 6th European Workshop on Multi-Agent Systems (EUMAS2008) (pp. 1-15). (CORE C)
  2. Gomez-Sanz, J. J., Fuentes, R., Pavón, J., & García-Magariño, I. (2008, May). INGENIAS development kit: a visual multi-agent system development environment. In Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: demo papers (pp. 1675-1676). International Foundation for Autonomous Agents and Multiagent Systems. (CORE A+) (CSCR 0.76, pos. 21/701)
  3. García-Magariño, I., Gómez-Sanz, J. J., & Pérez-Agüera, J. R. (2008, May). A multi-agent based implementation of a Delphi process. In Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems-Volume 3 (pp. 1543-1546). International Foundation for Autonomous Agents and Multiagent Systems. (CORE A+) (CSCR 0.76, pos. 21/701)
  4. García-Magariño, I., & Gómez-Sanz, J. J. (2008, April). Framework for defining model language metamodels for CASE tools. In Model-based Methodologies for Pervasive and Embedded Software, 2008. MOMPES 2008. 5th International Workshop on (pp. 14-23). IEEE.
  5. García-Magariño, I., Gutiérrez, C., & Fuentes-Fernández, R. (2008). Organizing multi-agent systems for crisis management. In Proceedings of the 7th Ibero-American Workshop in Multi-Agent Systems (pp. 69-80).

2007

  1. García-Magariño, I., Agüera, J. R. P., & Gómez-Sanz, J. J. (2007, November). Reaching consensus in a multi-agent system. In 6th International workshop on practical applications on agents and multi-agent systems, IWPAAMS'07 (pp. 349-358), Universidad de Salamanca. (CSCR 0.56, pos. 52/701)
  2. García-Magariño, I., Gómez-Rodríguez, A., & González, J. C. (2007, November). Modeling the Process of Development of INGENIAS with EMF (In Spanish Modelando el Proceso de Desarrollo de INGENIAS con EMF). In 6th International workshop on practical applications on agents and multi-agent systems, IWPAAMS'07 (pp. 369-378), Universidad de Salamanca. (CSCR 0.56, pos. 52/701)
  3. Fernández, R. F., García-Magariño, I., Gómez-Sanz, J. J., & Pavón, J. (2007). Integration of web services in an agent oriented methodology. International Transactions on Systems Science and Applications, 3(2), 145-161.
  4. García-Magariño, I., Gómez-Sanz, J. J., & Pavón, J. (2007). Representation of relationships in metamodels with the Ecore language (In Spanish Representación de las relaciones en los metamodelos con el lenguaje Ecore). Actas de Talleres de Ingeniería del Software y Bases de Datos, 1(6), 11-20.
  5. García-Magariño, I. (2007). Philosofy of the ConfianzaEras agent design, participant in the I Spanish competition of ART Testbed (In Spanish Filosofía del diseño del agente ConfianzaEras, participante en la I competición nacional de ART Testbed). Agents in the ART testbed spanish competitions (pp. 41-46), Universidad de Salamanca.

Research Products

Open software available from public research data repositories

  1. García-Magariño, Iván; Lombas, Andrés S.; Plaza, Inmaculada; Medrano, Carlos (2017), “Source code of the agent-based simulator of student sociograms called ABS-SOCI”, Mendeley Data, v1 http://dx.doi.org/10.17632/ffy73gfkzc.1
  2. García-Magariño, Iván; Lacuesta, Raquel; Lloret, Jaime (2017), “Source code of the agent-based simulator of smart beds with Internet-of-Things for exploring big data analytics called ABS-BedIoT”, Mendeley Data, v1 http://dx.doi.org/10.17632/42c3xcp3f7.1
  3. García-Magariño, Iván; Lacuesta, Raquel; Lloret, Jaime (2017), “Source code of the agent-based simulator of underwater sensors for measuring the amount of fishes called ABS-FishCount”, Mendeley Data, v1 http://dx.doi.org/10.17632/yzmt73x8j8.1
  4. García-Magariño, Iván; Lacuesta, Raquel; Lloret, Jaime (2017), “Source code of the agent-based simulator called ABS-SmartComAgri about smart communication protocols in wireless sensor networks for debugging in precision agriculture”, Mendeley Data, v1 http://dx.doi.org/10.17632/mj974yrjw5.1

EmoPaint - Paint your emotions!

García-Magariño, I., Chittaro, L., & Plaza, I. (2017). EmoPaint – Paint your Emotions, Promotional Video, https://youtu.be/GDL98pJFYjM

ABSCEV: An agent-based simulation framework about smart transportation for reducing waiting times in charging electric vehicles (published in Computer Networks 2018)

The agent-based simulation application of this paper is packaged as a compressed file (zip) with an executable (.exe) file inside for Windows 64-bit, and is available in the following link:

The aforementioned file has been tested in Windows 10 Pro 64-bit, and it works in this Windows version. It may work in other 64-bit Windows versions, but we have not tested it yet.

ABSEM: An agent-based simulator of emotions in mindfulness programs (published in Expert Systems with Applications 2017)

All the information is in the following separate web:

ABS-MindHeart: An agent based simulator of the influence of mindfulness programs on heart rate variability (published in Journal of Computational Science 2017)

All the information is in the following separate web:

ATABS: A technique for automatically training agent-based simulators (published in Simulation Modelling Practice and Theory 2016)

All the information is in the following separate web:

Practical multi-agent system application for simulation of tourists in Madrid routes with INGENIAS (published in PAAMS 2014)

The multi-agent system application of this paper is packaged as an executable jar file, and is available in the following link:

For running the aforementioned application, one needs to have installed Java SE Runtime Environment (JRE) 7u45 (or above), which is available from the Java Oracle website.

A web application is developed for recommending routes of Madrid historic center, and uses the routes tuned by means of the the aforementioned practical MAS application for simulation. This web application is recommender is available from its website.

Advised Phd Theses

  1. Varela Aldás, J.L. (2022) Contributions to cognitive rehabilation of patients with neurodegenerative diseases by means of virtual reality and low-cost devices (In Spanish, Contribuciones a la rehabilitación cognitiva de pacientes con enfermedades neurodegenerativas por medio de realidad virtual y dispositivos de bajo coste) (Doctoral dissertation, University of Zaragoza).
  2. González-Landero, F.E. (2021) Design of a cyber-physical system in health domain (In Spanish Diseño de un sistema ciberfísico aplicado al ámbito de la salud), (Doctoral dissertation, University of Zaragoza).
  3. Guillén-Gámez, F.D. (2016) A technique based on facial autentication in distance learning in universitary education (In Spanish Una técnica basada en la autenticación facial en el aprendizaje a distancia en la educación superior), (Doctoral dissertation, Madrid Open University).

My Phd Thesis

PhD Thesis, Universidad Complutense de Madrid, 2009.

García-Magariño, I. (2010). A framework for the definition and transformation of models in multi-agent systems (In Spanish Un marco para la definición y transformación de modelos en los sistemas multi-agentes), (Doctoral dissertation, Universidad Complutense de Madrid, 2009). E-Prints Complutense, 10639.

Editor in Journals

  1. Guest Editor of Special Issue Scientific programming for intelligent software development in IET Software(JCR SCI 2021 1.15, pos. 93/110, Q4) (Deadline 30 September 2022)
  2. Guest Editor of Special Issue Artificial Intelligence and Advances in Smart IoT in Sensors(JCR SCI 2021 3.275, percentile 77.344%, Q1) (Deadline 10 March 2023)
  3. Guest Editor of Special Issue Smart digital education and scientific programming in Intelligent Automation & Soft Computing (JCR SCI 2020 3.401, pos. 29/65, Q2) (Deadline 05 January 2023)
  4. Guest Editor of Special Issue Medical Data, Machine Learning and IoMT-enabled Healthcare Strategies in BioMed Research International, Hindawi ( JCR SCI 2021 3.411, pos. 70/159, Q2) (Deadline 14 October 2022)
  5. Guest Editor of Special Issue Computational Intelligence, Internet of Things and Artificial Intelligence-Based Smart and Sustainable Healthcare Systems in Computational Intelligence and Neuroscience, Hindawi (JCR SCI 2020 3.633, pos. 12/58, Q1) (Deadline 08 April 2022)
  6. Guest Editor of Special Issue Big Data Analytics in Internet of Things Environment in Sensors, MDPI (JCR SCI 2019 3.275, percentile 77.344%, Q1) (Deadline 30 March 2022)
  7. Guest Editor of Special Issue Soft Computing and Big Data Mining in Computer Systems Science and Engineering, CRL (JCR SCI 2020 1.486) (Deadline 31 December 2021)
  8. Guest Editor of Special Issue Sensors, Devices and Advanced Applications for Virtual Reality – Based Patient Rehabilitation in Sensors, MDPI (JCR SCI 2019 3.275, percentile 77.344%, Q1) (Deadline 31 August 2021)
  9. Guest Editor of Special Issue Managing Big Data, Visualization and its Analytics in Healthcare Based on Scientific Programming 2021 (JCR SCI 2018 1.289, percentile 39.720%, Q3) (Deadline 20 April 2021)
  10. Guest Editor of Special Issue Multimedia Communications over Next Generation Wireless Networks in Sustainable Smart Cities in Alexandria Engineering Journal, Elsevier (JCR SCI 2019 2.460, percentile 64.286%, Q2) (Deadline December 31, 2021)
  11. Guest Editor of Special Issue Healthcare of Things and Big Data for Healthcare Engineering in International Journal of Distributed Sensor Networks, SAGE (JCR SCI 2019 1.151, percentile 17.628%, Q4) (Deadline March 31, 2021)
  12. Guest Editor of Special Issue Healthcare of Things and Big Data for Healthcare Engineering in Journal of Healthcare Engineering (JCR SCI 2019 1.803, percentile 34.804%, Q3) (Deadline 8 January 2021)
  13. Lead Guest Editor of Special Issue Multi-agent Sensors for e-Healthcare in Sensors, MDPI (JCR SCI 2019 3.275, percentile 77.344%, Q1) (Deadline 30 September 2020)
  14. Guest Editor of Special Issue Healthcare Big Data Management and Analytics in Scientific Programming in Scientific Programming (JCR SCI 2018 1.289, percentile 39.720%, Q3) (Deadline 20 March 2020)
  15. Lead Guest Editor of Special Issue Internet of Things for Healthcare Using Wireless Communications or Mobile Computing in Wireless Communications and Mobile Computing, 2020, Hindawi (JCR SCI 2018 1.396, percentile 30.000%, Q3)
  16. Lead Guest Editor of Special Issue Wearable Technology and Mobile Applications for Healthcare in Mobile Information Systems, 2019, Hindawi (JCR SCI 2017 0.958, percentile 19.932%, Q4)
  17. Guest editor of Special Issue New Advances in E-Health in Future Internet, 2019, MDPI (SJR 2017 Q3)
  18. Editor of Heliyon , Elsevier (2018-2019)

Teaching Resources

TAI: JavaScript Framework for Teaching Algorithms Interactively