Luis Magadán

Assistant Professor Doctor

University of Oviedo

Biography

I obtained a PhD in Computer Science in 2024. My research interests are related with the Industrial Internet of Things, specially with the development of low-cost prototypes oriented to health prognostics of electric motors. I have developed a low-cost vibration monitoring system and a meter monitoring system, both currently installed in different industrial plants. At this moment, I am working with AI for predictive maintenance, specifically oriented to provide explainability and interpretability in fault diagnosis and detection, also leading with data limitation in real industrial scenarios.

Interests

Industrial Internet of Things
Health Prognostics
Wireless Sensor Networking
Internet of Things

Education

PhD in Computer Science, 2024
University of Oviedo
MSc in Computer Science, 2020
University of Oviedo
BSc in Computer Science, 2019
University of Oviedo

Experience

Assistant Professor

University of Oviedo

Sep 2024 – Present Asturias

Computer Architecture and Technology area where I teach/taught:

Computer and Network Fundamentals
Computer Architecture
Computing Infrastructure

Visiting Researcher

Cranfield University

May 2023 – Aug 2024 Cranfield

Research and development of ML tools for bearing fault detection and diagnosis (MS2AE-DTW) providing interpretability and explainability under limited data

Severo Ochoa Fellowship

University of Oviedo

Feb 2023 – Sep 2024 Asturias

Computer Architecture and Technology area where I teach/taught:

Computing Infrastructure

Lecturer

University of Oviedo

Sep 2021 – Feb 2023 Asturias

Computer Architecture and Technology area where I teach/taught:

Computer and Network Fundamentals
Computer Architecture
Computing Infrastructure

Substitute Lecturer

University of Oviedo

Feb 2021 – Jul 2021 Asturias

Computer Science and Articial Intelligence area where I taught:

Databases

Research fellow in the Computer Science Department

University of Oviedo

Jul 2019 – Jul 2020 Asturias

Fellow of the Computer Architecture and Technology Area of the Computer Science Department at the University of Oviedo funded by:

Instituto Universitario Industrial de Asturias (IUTA)
Collaboration fellowship in departments funded by the Ministry of Education

Trainee in the Operational Analysis Department

EDP

Oct 2018 – Jun 2019 Asturias

Publications

Here you can filter my publications.

L. Magadán, C. Ruíz-Cárcel, J. C. Granda, F. J. Suárez, A. Starr (2024). Explainable and interpretable bearing fault classification and diagnosis under limited data. ADVEI.

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L. Magadán, J. C. Granda, F. J. Suárez (2023). Robust prediction of remaining useful lifetime of bearings using deep learning. EAAI.

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L. Magadán, J. Roldán-Gómez, J. C. Granda, F. J. Suárez (2023). Early Fault Classification in Rotating Machinery With Limited Data Using TabPFN. IEEE Sensors Journal.

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F. J. delaCalle, D. F. García, R. Usamentiaga, P. Nuño, L. Magadán (2023). Hierarchical registration method for surface quality inspection of long products. Springer.

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L. Magadán, F. J. Suárez, J. C. Granda, F. J. delaCalle, D. F. García (2023). A Robust Health Prognostics Technique for Failure Diagnosis and the Remaining Useful Lifetime Predictions of Bearings in Electric Motors. MDPI.

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L. Magadán, F. J. Suárez, J. C. Granda, D. F. García (2022). Low-Cost Industrial IoT System for Wireless Monitoring of Electric Motors Condition. MONET.

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L. Magadán, F. J. Suárez, J. C. Granda, D. F. García (2022). Clustered WSN for Building Energy Management Applications. In S-CUBE 2021.

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L. Magadán, F. J. Suárez, J. C. Granda, D. F. García (2020). Real-Time Monitoring of Electric Motors for Detection of Operating Anomalies and Predictive Maintenance. In S-CUBE 2019.

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L. Magadán, F. J. Suárez, J. C. Granda, D. F. García (2020). Low-cost real-time monitoring of electric motors for the Industry 4.0. In ISM 2019.

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Projects

Project SV‐25‐GIJON‐1‐20

Local implementation of an AI model for efficient management of energy consumption in industrial plants

Project GRUPIN - SEK-25-GRU-GIC-24-003

GRANTS TO RESEARCH GROUPS OF PUBLIC R&D&I ORGANISATIONS OF THE PRINCIPALITY OF ASTURIAS CALL FOR PROPOSALS 2024 “Computer Engineering. ICOM” IDE/2024/000688