Research and transfer groups

ZUGASTI URIGUEN, EKHI

Belongs to the group: Data analysis and cybersecurity

ekhi-zugasti-uriguen

Nombre y apellidos: EKHI ZUGASTI URIGUEN
Nacionalidad: España
Tlf. de contacto: 943794700
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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

Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects ARTICULO \| Applied intelligence, Year: 2022 \| ISBN/ISSN: 1573-7497 Author: SERRADILLA CASADO, OSCAR ZUGASTI URIGUEN, EKHI RODRÍGUEZ BRETON, JON ZURUTUZA ORTEGA, URKO
Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge ARTICULO \| International Journal of Computer Integrated Manufacturing. Vol. 35. N. 12. Pp. 1310-1334, Year: 2022 \| ISBN/ISSN: 13623052 online Author: SERRADILLA CASADO, OSCAR ZUGASTI URIGUEN, EKHI RAMÍREZ DE OKARIZ, JULIAN RODRÍGUEZ BRETON, JON ZURUTUZA ORTEGA, URKO
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. Conference Proceedings. IEEE, 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. Vol. 233. N. 10. Pp. 1361-1375, 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. Pp 311-496. 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. Pp 145-232. 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 SALVATIERRA, JAVIER MARTÍNEZ, 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 SALVATIERRA, 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 SALVATIERRA, JAVIER ARREGUI, MIGUEL ÁNGEL MARTÍNEZ, 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 SALVATIERRA, JAVIER ARREGUI VICENTE, MIGUEL ANGEL MARTÍNEZ, F

Mecatrónica ultraprecisa, fiable y coordinada para la industria 4.0 COMPETITIVO Start Date: 2022-03-01 \| End Date: 2023-12-31 Financing: Participation: Author: ZUGASTI URIGUEN, EKHI ()
Grupo de Sistemas Inteligentes para Sistemas Industriales COMPETITIVO Start Date: 2021-01-01 \| End Date: 2025-12-31 Financing: Participation: Author: ZUGASTI URIGUEN, EKHI ()
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)
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)
P02 - Observador de Hueco MTM avanzado CONTRATO Start Date: 2015-04-01 \| End Date: 2017-04-01 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)

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

Design and validation of a methodology to implement data-driven predictive maintenance in industrial environments Reading date: 2022-01-18 Author: Oscar Serradilla Director: ZUGASTI URIGUEN, EKHI
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
Deep learning vision approach for semi-supervised defect detection in manufacturing industry Reading date: Author: Intxausti Arbaiza, Eneko Director: CERNUDA GARCIA, CARLOS ZUGASTI URIGUEN, EKHI
Detección de anomalías en procesos de rectificado repetitivos empleando series temporales de alta frecuencia Reading date: Author: Escartín Ferrer, Javier Director: ZUGASTI URIGUEN, EKHI