Research and transfer groups
ZUGASTI URIGUEN, EKHI
Belongs to the group: Data analysis and cybersecurity
Formación
Doctorado
- Civil Engineering, Design and validation of a methodology for wind energy structures health monitoring, Universidad Politecnica de Cataluña (UPC), 2014
Licenciado, Ingeniero, Grado, Arquitecto
- Telecomunications Engineer, Mondragon Unibertsitatea, 2009
Máster
- New Materials Master, Euskal Herriko Unibertsitatea / Universidad Publica del Pais Vasco (EHU/UPV), 2010
Situación laboral
- Entidad: Mondragon Unibertsitatea
- Centro: Faculty of Engineering
- Departamento: Electronics and computing
- Área de conocimiento: Ingeniería telemática
- Modalidad de contrato: Plantilla
- Categoría/Puesto: Researcher
- Grupo de investigación: Data analysis and cybersecurity
Ponencias y congresos / conferencias
Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance International Conference on Control, Decision and Information Technologies (CoDIT). Thessaloniki. 10-13 April 2018. Pp. 773-778. Institute of Electrical and Electronics Engineers, Año: 2018 Autoría: Felix Larrinaga, Javier Fernandez, Ekhi Zugasti, Iñaki Garitano, Urko Zurutuza, Mikel Anasagasti, Mikel Mondragon |
Contrastive Explanations for a Deep Learning Model on Time-Series Data Fecha de publicación 2020/9/14 Conferencia: International Conference on Big Data Analytics and Knowledge Discovery Páginas: 235-244 Editor: Springer, Cham Año: 2020 Autoría: Jokin Labaien, Ekhi Zugasti, Xabier De Carlos |
Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom, Año: 2020 Autoría: Oscar Serradilla, Ekhi Zugasti, Carlos Cernuda, Andoitz Aranburu, Julian Ramirez de Okariz, Urko Zurutuza |
MEDEA: Monitorizando el espacio nulo para la detección de anomalías en sistemas industriales Actas de la XV Reunión Española de Criptología y Seguridad de la Información (RECSI). Granada. 3-5 octubre. Pp. 212- 216. Universidad de Granada, Año: 2018 Autoría: Ekhi Zugasti, Mikel Iturbe, Inaki Garitano, Urko Zurutuza |
Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments 2018 Global Internet of Things Summit, GIoTS. Pp. 104-109. IEEE, Año: 2018 Autoría: Ekhi Zugasti, Mikel Iturbe, Inaki Garitano, Urko Zurutuza |
Actividad profesional anterior
IK4-Ikerlan Fecha inicio: 10/01/2009 | Fecha fin: 05/03/2017 |
Idiomas
- French (B1)
- English (C1)
FORMACIÓN
DOCTORADO
- Ingenieria Civil , Design and validation of a methodology for wind energy structures health monitoring , Universidad Politecnica de Cataluña (UPC) , 2014
LICENCIADO, INGENIERO, GRADO, ARQUITECTO
- Ingeniero superior en Telecomunicaciones , Mondragon Unibertsitatea , 2009
- Master en Nuevos Materiales , Euskal Herriko Unibertsitatea / Universidad Publica del Pais Vasco (EHU/UPV) , 2010
SITUACIÓN LABORAL
- Entidad: Mondragon Unibertsitatea
- Centro: Escuela Politécnica Superior
- Departamento: Electronics and computing
- Área de conocimiento: Ingeniería telemática
- Modalidad de contrato: Plantilla
- Categoría / Puesto: Investigador
ACTIVIDAD DOCENTE
ACTIVIDAD PROFESIONAL ANTERIOR
IK4-IKERLAN Fecha inicio: 01/10/2009 | Fecha fin: 03/05/2017 |
| Impregnation quality diagnosis in Resin Transfer Moulding by machine learning ARTICULO | Composites Part B: Engineering. Vol. 221. N. artículo 108973, Year: 2021 | ISBN/ISSN: 1359-8368 Author: MENDICUTE SAN MARTIN, JULEN PLAZAOLA MADINABEITIA, JOANES BASKARAN RAZKIN, MAIDER ZUGASTI URIGUEN, EKHI ARETXABALETA RAMOS, LAURENTZI AURREKOETXEA NARBARTE, ION |
| Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data ARTICULO | Applied Sciences. Vol. 11. N. 16. N. artículo 7376, Year: 2021 | ISBN/ISSN: 2076-3417 Author: SERRADILLA CASADO, OSCAR ZUGASTI URIGUEN, EKHI RAMÍREZ DE OKARIZ, JULIAN RODRÍGUEZ, JON ZURUTUZA ORTEGA, URKO |
| Contrastive explanations for a deep learning model on time-series data ARTICULO | Lecture Notes in Computer Science. Vol. 12393. Pp. 235-244, Year: 2020 | ISBN/ISSN: 0302-9743 Author: LABAIEN, JOKIN ZUGASTI URIGUEN, EKHI DE CARLOS GARCIA, XABIER |
| Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery COMUNICACION_CONGRESO | 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom, Year: 2020 | ISBN/ISSN: 978-1-7281-6932-3 Author: SERRADILLA CASADO, OSCAR ZUGASTI URIGUEN, EKHI CERNUDA GARCIA, CARLOS ARANBURU IRASTORZA, ANDOITZ RAMIREZ DE OKARIZ TELLERIA, IÑIGO ZURUTUZA ORTEGA, URKO |
| A Big Data implementation of the MANTIS Reference Architecture for Predictive Maintenance ARTICULO | Journal of Systems and Control Engineering (Proceedings of the Institution of Mechanical Engineers, Part I). Sage. First Published 21 March, Year: 2019 | ISBN/ISSN: Online 20413041 Author: LARRINAGA BARRENECHEA, FELIX FERNANDEZ ANAKABE, JAVIER ZUGASTI URIGUEN, EKHI GARITANO GARITANO, IÑAKI ZURUTUZA ORTEGA, URKO OLAIZOLA ALBERDI, JON ANASAGASTI, MIKEL MONDRAGON, MIKEL |
| Success Stories on Real Pilots LIBRO_CAPITULO | The MANTIS Book. Cyber Physical System Based Proactive Collaborative Maintenance. Editors, Michele Albano, Erkki Jantunen, Gregor Papa, Urko Zurutuza. River Publishers, Year: 2018 | ISBN/ISSN: Online 9788793609846 Author: SOCORRO, RAFAEL AGUIRREGABIRIA, MARÍA AKÇAY, ALP ALBANO, MICHELE ANASAGASTI, MIKEL ARANBURU, ANDOITZ BARBIERI, MAURO BARRUTIA INZA, IBAN BERGMANN, ANSGAR BRABANDERE, KAREL DE BOOSTEN, MARCEL CASAIS, RUI CHICO, DAVID CIANCARINI, PAOLO DAM, PAULIEN ORIO, GIOVANNI DI EERLAND, KAREL EGUILUZ, XABIER ESPOSITO, SALVATORE FERNANDEZ ANAKABE, JAVIER LINO FERREIRA, LUIS FRANKÓ, ATTILA GABILONDO, IOSU GARCÍA, RAQUEL GIJSBERS, JEROEN GRÄDLER, MATHIAS HEGEDÜS, CSABA HERNÁNDEZ, SILVIA HELO, PETRI JANTUNEN, ERKKI KAIJA, MATTI LARRINAGA BARRENECHEA, FELIX MALÓ, PEDRO MARTÍNEZ, EVA MARTINHO, DIEGO MONDRAGON, MIKEL MOLDOVÁN, ISTVÁN OLAIZOLA ALBERDI, JON PAPA, GREGOR POKLUKAR, SPELA PRAÇA, ISABEL PRIMI, STEFANO PRONK, VERUS SAIZ, EDUARDO SILLITTI, ALBERTO VARGA, PAL ZUGASTI URIGUEN, EKHI ZURUTUZA ORTEGA, URKO |
| Providing Proactiveness: Data Analysis Techniques Portfolios LIBRO_CAPITULO | The MANTIS Book. Cyber Physical System Based Proactive Collaborative Maintenance. Editors, Michele Albano, Erkki Jantunen, Gregor Papa, Urko Zurutuza. River Publishers, Year: 2018 | ISBN/ISSN: Online 9788793609846 Author: SILLITTI, ALBERTO FERNANDEZ ANAKABE, JAVIER BASURKO, JON DAM, PAULIEN FERREIRA, HUGO FERREIRO, SUSANA GIJSBERS, JEROEN HE, SHENG HEGEDűS, CSABA HOLENDERSKI, MIKE HOOGHOUDT, JAN-OTTO LECUONA MUGICA, IÑIGO LETURIONDO, URKO MARCELIS, QUINTEN MOLDOVÁN, ISTVÁN OKAFOR, EMMANUEL REBELO DE SÁ, CLÁUDIO ROMERO, RICARDO SARR, BABACAR SCHOMAKER, LAMBERT SHEKAR, ARVIND KUMAR SOARES, CARLOS SPRONG, HANS THEODORSEN, SØREN TOURWÉ, TOM URCHEGUI, GORKA WEBERS, GODFRIED YANG, YI ZUBALIY, ANDRIY ZUGASTI URIGUEN, EKHI ZURUTUZA ORTEGA, URKO |
| Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments COMUNICACION_CONGRESO | 2018 Global Internet of Things Summit, GIoTS. Pp. 104-109. IEEE, Year: 2018 | ISBN/ISSN: 9781538664513 Author: ZUGASTI URIGUEN, EKHI GARITANO GARITANO, IÑAKI ITURBE URRETXA, MIKEL ZURUTUZA ORTEGA, URKO |
| Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance COMUNICACION_CONGRESO | International Conference on Control, Decision and Information Technologies (CoDIT). Thessaloniki. 10-13 April 2018. Pp. 773-778. Institute of Electrical and Electronics Engineers, Year: 2018 | ISBN/ISSN: 9781538650653 Author: LARRINAGA BARRENECHEA, FELIX GARITANO GARITANO, IÑAKI ZURUTUZA ORTEGA, URKO ZUGASTI URIGUEN, EKHI FERNANDEZ ANAKABE, JAVIER |
| MEDEA: Monitorizando el espacio nulo para la detección de anomalías en sistemas industriales COMUNICACION_CONGRESO | Actas de la XV Reunión Española de Criptología y Seguridad de la Información (RECSI). Granada. 3-5 octubre. Pp. 212- 216. Universidad de Granada, Year: 2018 | ISBN/ISSN: 9788409024636 Author: ZUGASTI URIGUEN, EKHI GARITANO GARITANO, IÑAKI ITURBE URRETXA, MIKEL ZURUTUZA ORTEGA, URKO |
| Feature Selection - Extraction Methods based on PCA and Mutual Information to improve Damage Detection problem in Offshore Wind Turbines ARTICULO | Key Engineering Materials. Vol. 569-570. Pp. 620-627. July, Year: 2013 | ISBN/ISSN: 10139826 Author: ZUGASTI URIGUEN, EKHI MUJICA, LUIS E. ANDUAGA, JAVIER MARTINEZ, FERNANDO |
| Damage Identification in a Laboratory Offshore Wind Turbine Demonstrator ARTICULO | Key Engineering Materials. Vol. 569-570. Pp. 555-562. July, Year: 2013 | ISBN/ISSN: 10139826 Author: GONZÁLEZ GÓMEZ, ANA ZUGASTI URIGUEN, EKHI ANDUAGA, JAVIER |
| A Comparative Assessment of Two SHM Damage Detection Methods in a Laboratory Tower ARTICULO | Advances in Science and Technology. Vol. 83. Pp. 232-239. September, Year: 2012 Author: ZUGASTI URIGUEN, EKHI GÓMEZ GONZÁLEZ, ANA ANDUAGA, JAVIER ARREGUI, MIGUEL ÁNGEL MARTINEZ, FERNANDO |
| NullSpace and AutoRegressive damage detection: a comparative study ARTICULO | Smart Materials and Structures. V. 21. N. 8, Year: 2012 | ISBN/ISSN: 0964-1726 Author: ZUGASTI URIGUEN, EKHI GÓMEZ GONZÁLEZ, A. ANDUAGA, J. ARREGUI VICENTE, MIGUEL ANGEL MARTÍNEZ, F |
| Técnicas de inteligencia artificial para detectar piezas defectuosas COMPETITIVO Start Date: 2018-03-01 | End Date: 2019-12-31 Financing: Gobierno Vasco Participation: EDERTEK, S. COOP.;MONDRAGON GOI ESKOLA POLITEKNIKOA JOSE Mª ARIZMENDIARRIETA, S. COOP. Author: CERNUDA GARCIA, CARLOS (INVEST) AGUIRRE ORTUZAR, AITOR (INVEST) ZUGASTI URIGUEN, EKHI (INVEST) EZPELETA GALLASTEGI, ENAITZ (INVEST) Zurutuza Ortega, Urko (INVEST) |
| Análisis de escenarios para monitorización de lineas de montaje CONTRATO Start Date: 2017-01-01 | End Date: 2017-05-01 Financing: Participation: Author: ZUGASTI URIGUEN, EKHI (INVEST) |
| Diagnosis y Monitorización VibroAcústica CONTRATO Start Date: 2017-01-01 | End Date: 2017-05-03 Financing: Participation: Author: ZUGASTI URIGUEN, EKHI (INVEST) |
| CONAMON4.0 - control avanzado y monitorización para la industria 4.0 [MON] COMPETITIVO Start Date: 2016-01-01 | End Date: 2017-05-01 Financing: Gipuzkoako Foru Aldundia Participation: Author: ZUGASTI URIGUEN, EKHI (INVEST) |
| L3 - 2016 - TB2- CT1 - Diseño y monitorización de la salud estructural y Condition Monitoring COMPETITIVO Start Date: 2016-01-01 | End Date: 2016-12-31 Financing: Participation: Author: ZUGASTI URIGUEN, EKHI (INVEST) |
| ELKARTEK 2016 - ALCON4.0 -Algoritmos de control avanzados para lineas de montaje 4.0 COMPETITIVO Start Date: 2016-01-01 | End Date: 2017-04-01 Financing: Eusko Jaurlaritza - KK-2016/00016 Participation: Author: ZUGASTI URIGUEN, EKHI (INVEST) |
| Soluciones de monitorización y diagnosis para gestion avanzada de los elementos clave del tren de rodadura de vehiculos ferroviarios COMPETITIVO Start Date: 2016-01-01 | End Date: 2017-04-01 Financing: Gobierno de España Participation: Author: ZUGASTI URIGUEN, EKHI (INVEST) |
| P02 - Observador de Hueco MTM avanzado CONTRATO Start Date: 2015-04-01 | End Date: 2017-04-01 Financing: Participation: Author: ZUGASTI URIGUEN, EKHI (INVEST) |
| L3 - 2015 - TB2- CT1 - Diseño y monitorización de la salud estructural y Condition Monitoring COMPETITIVO Start Date: 2015-04-01 | End Date: 2015-12-31 Financing: Participation: Author: ZUGASTI URIGUEN, EKHI (INVEST) |
| Fatiga en rodamientos de grandes dimensiones CONTRATO Start Date: 2015-01-04 | End Date: 2017-04-01 Financing: Participation: Author: ZUGASTI URIGUEN, EKHI (INVEST) |
| L3 - 2013 -Fiabilidad Estructural y MecatronicaMecatronica (Diseño, monitorización de la salud estructural y Condition monitoring) COMPETITIVO Start Date: 2013-01-01 | End Date: 2013-12-31 Financing: Participation: Author: ZUGASTI URIGUEN, EKHI (INVEST) |
Thesis made
| Design and validation of a methodology for wind energy structures health monitoring Reading date: 2014-01-16 Director: Author: ZUGASTI URIGUEN, EKHI |
Directed thesis
| An Attribute Oriented Induction based methodology to aid in Predictive Maintenance: Anomaly Detection, Root Cause Analysis and Remaining Useful Life Reading date: 2020-02-18 Author: Javier Fernandez Anakabe Director: ZUGASTI URIGUEN, EKHI |
| Towards interpretability of machine learning algorithms and techniques for anomaly detection in industrial domains. Reading date: Author: Labaien Soto, Jokin Director: ZUGASTI URIGUEN, EKHI |
| metodologia ML en maquina herramienta Reading date: Author: Javier Escartin Director: ZUGASTI URIGUEN, EKHI |
| Manufacturing Defect inspection by Vision transformers Reading date: Author: Eneko Intxausti Director: ZUGASTI URIGUEN, EKHI |
| Design and validation of a methodology to implement data-driven predictive maintenance in industrial environments Reading date: Author: Oscar Serradilla Director: ZUGASTI URIGUEN, EKHI |