What we do
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
LICENCIATURA, INGENIERIA, GRADO, ARQUITECTURA
- 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 |
| Towards robust defect detection in casting using contrastive learning COMUNICACION_CONGRESO | 26th Iberoamerican Congress on Pattern Recognition (CIARP 2023). Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Lecture Notes in Computer Science. Vol. 14469. Pp. 605-616, Year: 2024 | ISBN/ISSN: 978-3-031-49018-7 Author: INTXAUSTI ARBAIZA, ENEKO CERNUDA GARCIA, CARLOS ELIZONDO, ESTIBALIZ LEIBAR, ANE MIREN ZUGASTI URIGUEN, EKHI |
| A Methodology for Advanced Manufacturing Defect Detection through Self-Supervised Learning on X-ray Images ARTICULO | Applied Sciences. Vol. 14. N. 7. N. art. 2785, Year: 2024 | ISBN/ISSN: 2076-3417 (online) Author: INTXAUSTI ARBAIZA, ENEKO CERNUDA GARCIA, CARLOS SKOCAJ, DANIJEL ZUGASTI URIGUEN, EKHI |
| Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation ARTICULO | Energies. Vol. 16. N. 8. N. art. 3567 Year: 2023 | ISBN/ISSN: 1996-1073 (online) Author: BARBER, SARAH MILANI, ALI EFTEKHARI ZUGASTI URIGUEN, EKHI OLAIZOLA ALBERDI, JON SERRADILLA CASADO, OSCAR IZAGIRRE AIZPITARTE, UNAI AIZPURUA UNANUE, JOSE IGNACIO HENDERSON, CHARLES SAKAGAMI, YOSHIAKI SEHNKE, FRANK |
| Diagnostic spatio-temporal transformer with faithful encoding ARTICULO | Knowledge-Based Systems.Vol. 274, N. art. 110639 Year: 2023 | ISBN/ISSN: 0950-7051 (papel) Author: LABAIEN SOTO, JOKIN ZUGASTI URIGUEN, EKHI CARLOS, XABIER DE CHEN, PIN-YU IDE, TSUYOSHI |
| Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders ARTICULO | Applied Sciences. Vol. 13. N. 5. N. artículo 2912, Year: 2023 | ISBN/ISSN: 2076-3417 Author: LABAIEN SOTO, JOKIN DE CARLOS GARCIA, XABIER ZUGASTI URIGUEN, EKHI |
| Predicting the effect of voids generated during RTM on the low-velocity impact behaviour by machine learning-based surrogate models ARTICULO | Composites Part B: Engineering. Vol. 260. N. art. 110790, Year: 2023 | ISBN/ISSN: 1359-8368 Author: MENDICUTE SAN MARTIN, JULEN AURREKOETXEA NARBARTE, ION ZUGASTI URIGUEN, EKHI LLAVORI OSA, IÑIGO BASKARAN RAZKIN, MAIDER ARETXABALETA RAMOS, LAURENTZI |
| Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects ARTICULO | Applied intelligence. Vol. 52. Pp. 10934–10964. August, Year: 2022 | ISBN/ISSN: 1573-7497 Author: SERRADILLA CASADO, OSCAR RODRÍGUEZ BRETON, JON ZUGASTI URIGUEN, EKHI 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: 1362-3052 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 ZUGASTI URIGUEN, EKHI AURREKOETXEA NARBARTE, ION BASKARAN RAZKIN, MAIDER PLAZAOLA MADINABEITIA, JOANES ARETXABALETA RAMOS, LAURENTZI |
| 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 GARITANO GARITANO, IÑAKI ZUGASTI URIGUEN, EKHI ZURUTUZA ORTEGA, URKO OLAIZOLA ALBERDI, JON ANASAGASTI, MIKEL FERNANDEZ ANAKABE, JAVIER 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: Print 9788793609853 Author: SOCORRO, RAFAEL ANASAGASTI, MIKEL OLAIZOLA ALBERDI, JON MOLDOVÁN, ISTVÁN MONDRAGON, MIKEL MARTINHO, DIEGO MARTÍNEZ, EVA MALÓ, PEDRO LARRINAGA BARRENECHEA, FELIX KAIJA, MATTI JANTUNEN, ERKKI ALBANO, MICHELE HELO, PETRI HERNÁNDEZ, SILVIA HEGEDÜS, CSABA GRÄDLER, MATHIAS GIJSBERS, JEROEN GARCÍA, RAQUEL GABILONDO, IOSU LINO FERREIRA, LUIS FERNANDEZ ANAKABE, JAVIER AKÇAY, ALP ESPOSITO, SALVATORE EGUILUZ, XABIER EERLAND, KAREL ORIO, GIOVANNI DI DAM, PAULIEN CIANCARINI, PAOLO CHICO, DAVID CASAIS, RUI BOOSTEN, MARCEL BRABANDERE, KAREL DE AGUIRREGABIRIA, MARÍA FRANKÓ, ATTILA BERGMANN, ANSGAR BARRUTIA INZA, IBAN BARBIERI, MAURO ZURUTUZA ORTEGA, URKO ZUGASTI URIGUEN, EKHI ARANBURU, ANDOITZ VARGA, PAL SILLITTI, ALBERTO SAIZ, EDUARDO PRONK, VERUS PRIMI, STEFANO PRAÇA, ISABEL POKLUKAR, SPELA PAPA, GREGOR |
| 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: Print 9788793609853 Author: SILLITTI, ALBERTO THEODORSEN, SØREN OKAFOR, EMMANUEL REBELO DE SÁ, CLÁUDIO ROMERO, RICARDO SARR, BABACAR SCHOMAKER, LAMBERT BASURKO, JON SHEKAR, ARVIND KUMAR SOARES, CARLOS SPRONG, HANS DAM, PAULIEN ZUGASTI URIGUEN, EKHI ZUBALIY, ANDRIY YANG, YI WEBERS, GODFRIED URCHEGUI, GORKA TOURWÉ, TOM FERNANDEZ ANAKABE, JAVIER HOOGHOUDT, JAN-OTTO LECUONA MUGICA, IÑIGO LETURIONDO, URKO MARCELIS, QUINTEN MOLDOVÁN, ISTVÁN FERREIRO, SUSANA ZURUTUZA ORTEGA, URKO FERREIRA, HUGO GIJSBERS, JEROEN HE, SHENG HEGEDűS, CSABA HOLENDERSKI, MIKE |
| 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 ITURBE URRETXA, MIKEL GARITANO GARITANO, IÑAKI 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 ZURUTUZA ORTEGA, URKO GARITANO GARITANO, IÑAKI 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 ZURUTUZA ORTEGA, URKO ITURBE URRETXA, MIKEL GARITANO GARITANO, IÑAKI |
| 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 MARTÍNEZ, FERNANDO ANDUAGA SALVATIERRA, JAVIER MUJICA, LUIS E. |
| 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 ARREGUI, MIGUEL ÁNGEL MARTÍNEZ, FERNANDO GÓMEZ GONZÁLEZ, ANA ANDUAGA SALVATIERRA, JAVIER |
| 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 MARTÍNEZ, F ANDUAGA SALVATIERRA, JAVIER GÓMEZ GONZÁLEZ, A. ARREGUI VICENTE, MIGUEL ANGEL |
| 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
| Towards interpretability of machine learning algorithms and techniques for anomaly detection in industrial domains. Reading date: 2023-11-08 Author: Labaien Soto, Jokin Director: ZUGASTI URIGUEN, EKHI |
| 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 |
| 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 |
| Towards Probabilistic model optimization Reading date: Author: Jokin Alzibar Director: ZUGASTI URIGUEN, EKHI |