Héctor Alberto Fernández Bobadilla

• Fernández-Bobadilla, Héctor A., et. al. (2026) Multi-sensor system for efficient in-service vehicle-based track monitoring and fault localization: A case study. Railway Engineering Science. Springer Nature. Peer-reviewed. Open Access. DOI: 10.1007/s40534-026-00452-5
• Rodríguez-Bayona, Laura T., Fernández-Bobadilla, Héctor A. & Martin, U. (2025) Monitoring Data Mapping for Infrastructure-oriented Visualization of Railway Track Condition. 5th International Railway Symposium – IRSA 2025. Peer-reviewed. URL: https://publications.rwth-aachen.de/record/1024828/files/?ln=de
• Fernández-Bobadilla, Héctor A., Bouchikhi, Yahya & Martin, U. (2025) GAN-based Data Augmentation of Time-Series for Fault Diagnosis in Railway Track. Railway Engineering Science. Springer Nature. Peer-reviewed. Open Access. DOI: 10.1007/s40534-025-00396-2
• Fernández-Bobadilla, Héctor A. & Martin, U. (2024) GAN-based Data Augmentation of Railway Track Irregularities for Fault Diagnosis. IEEE World Congress on Computational Intelligence – International Joint Conference on Neural Networks (WCCI-IJCNN 2024). Peer-reviewed. DOI: 10.1109/IJCNN60899.2024.10651483
• Kim, E.Y., Fernández-Bobadilla, Héctor A. & Chen, X.Y (2023). Data Augmentation for Fault Classification of Railway Track Irregularities in Track-Vehicle Scale Model. 2023 IEEE SENSORS. Peer-reviewed. DOI: 10.1109/SENSORS56945.2023.10324866
• Fernández-Bobadilla, Héctor. A. & Martin, U. (2023). Modern Tendencies in Vehicle-Based Condition Monitoring of the Railway Track. IEEE Transactions on Instrumentation and Measurement. Peer-reviewed. DOI: 10.1109/TIM.2023.3243673
• Fernández-Bobadilla, Héctor A., C. Verde & Jaime A. Moreno (2018) High-Order Sliding Mode Observer for Outflow Reconstruction in a Branched Pipeline.  2nd IEEE Conference on Control Technology and Applications (CCTA 2018). Peer-reviewed. DOI: 10.1109/CCTA.2018.8511545

• Entwicklungsprojekt, Master’s degree in Software Engineering
• Infrastrukturgestaltung, Master’s degree in Civil Engineering
• Verkehr und Gesellschaft, Bachelor's degree in Transportation Engineering
• Raum- und Verkehrsplanung, Bachelor's degree in Transportation Engineering

• Condition monitoring, predictive maintenance and optimal maintenance scheduling.
• Fault diagnosis in dynamical systems.
• Model-based, machine learning and hybrid algorithms.
• Data augmentation and signal generation / processing.
• Mechatronics, instrumentation and automatic control.

Supervised Bachelor’s Theses:

• Conceptual Analysis of Decentralized Railway Dispatching using Swarm Intelligence Algorithms.
• Modelling and Synthesis of Stochastic Vertical Track Irregularities for Condition Monitoring and Fault Detection and Isolation.

Supervised Master’s Theses:

• Analysis of Case Studies for the Application of Swarm Intelligence Algorithms in Decentralized Train Dispatching.
• Integrated Project Management Model for ConMoRAIL: Structured Analysis, Risk Assessment and Time Management Optimization Strategies.
• Reconstruction of Railway Track Irregularities based on Vehicle Inertial Measurements.
• Analysis and implementation of an intelligent charging-management as SaaS-Application for the operation of electrified busses.
• Digital Mapping and Modelling of Railway Infrastructure for Condition Monitoring of the Track.
• Data Augmentation in Laboratory Vehicle-Track Model for Fault Classification Performance Improvement of Machine Learning Algorithms.
• Modelling and Synthesis of Track Irregularities for Data Augmentation using Advanced Schemes of Generative Adversarial Networks.
• Comparative Analysis of the Level of Development and Current Application of Condition Monitoring (CM) and Predictive Maintenance (PdM) Techniques across different Modes of Transportation.
• Transfer Function Model Identification for the Vehicle-Track Interaction System and  Characterization of the Frequency Response of the Railway Vehicle.
• Determination of the Required Operational Modelling Schemes within the Different Stages of a Railway Project: The Case Study of the Mixed Traffic Tram-Train Located in Xalapa, Veracruz, Mexico.
• Assessment of Mixed Traffic Operation in Underutilized Rail Lines in Mexico: The Case Study of the Mixed Traffic Tram-Train Located in Xalapa, Veracruz, Mexico.

• Mobile Communication Based Decentralised Railway Dispatching with Swarm Intelligence (MoDeRaDi).

• Efficient Sensor-Based Condition Monitoring Methodology for the Detection and Localization of Faults on the Railway Track (ConMoRAIL).