Research

PUBLICATIONS

PublicationContributorsDateDoi
Integrating AutoML and LLMs to streamline the optimisation of production processes. A case study on GAMHE 5.0 pilot lineY. J. Cruz, F. Castaño, A. Villalonga, R. Quiza, R. E. Haber2026https://doi.org/10.1080/00207543.2026.2631662
A Data-Driven Approach for Predicting Remaining Useful Life of Semiconductor Devices Based on Machine Learning and Synthetic Data Generation: A Review and Case Study on SiC MOSFETsY. J. Cruz, F. Castano, A. Villalonga, M. Mishra, R. E. Haber2025https://doi.org/10.1109/ACCESS.2025.3596444
Edge-Computing Framework for Human-Robot Collaboration in Industry 5.0: Enhancing Operator Well-Being and Efficiency in ManufacturingA. Villalonga, Y. Cruz, R. Haber, L. Bastida, S. Sillaurren, F. Castano2025https://doi.org/10.1109/ICE/ITMC65658.2025.11106593
Long Short-Term Memory Mixture Density Network for Remaining Useful Life Prediction of IGBTsY. J. Cruz, F. Castaño, R. E. Haber2025https://doi.org/10.3390/technologies13080321
Automation and Robotics Pilot Lines in the Context of Industry 5.0R. Alonso, T. F. Sánchez, D. A. Alfaro, Y. J. Cruz, A. Villalonga, F. Castaño2025https://doi.org/10.3390/app15052510
Sustainability metrics targeted optimization and electric discharge process modelling by neural networksM. Sana, M. Asad, M. U. Farooq, M. Tlija, R. Haber2025https://doi.org/10.1038/s41598-024-78883-5
Agent-Based Supervision for Service-Oriented Industrial Cyber–Physical SystemsA. Biskupovic, A. Villalonga, F. Castano, R. E. Haber, F. Nunez2025https://doi.org/10.1109/TII.2024.3514178
Enhancing Quality Inspection in Zero-Defect Manufacturing Through Robotic-Machine CollaborationA. Villalonga, Y. J. Cruz, D. Alfaro, R. E. Haber, J. L. Martinez-Lastra, F. Castano2024https://doi.org/10.1109/ROBOT61475.2024.10797427
Energy Challenges and Smart Applications in Production SystemsK. Ejsmont, B. Gladysz, R. Haber2024https://doi.org/10.3390/en17225624
Sustainable machining of Inconel 718 using minimum quantity lubrication: Artificial intelligence-based process modellingM. U. Farooq, R. Kumar, A. Khan, J. Singh, S. Anwar, A. Verma, R. Haber2024https://doi.org/10.1016/j.heliyon.2024.e34836
Enhancing high-speed EDM performance of hybrid aluminium matrix composite by genetic algorithm integrated neural network optimizationM. A. Ali, N. A. Mufti, M. Sana, M. Tlija, M. U. Farooq, R. Haber2024https://doi.org/10.1016/j.jmrt.2024.07.077
Extending the operational lifespan of key
components in a cyberphysical system. A method
and case study.
F. Castaño, Y. J. Cruz, A. Villalonga, R. E. Haber2024https://doi.org/10.1109/ICSTCC62912.2024.10744758
Automated machine learning methodology for optimizing production processes in small and medium-sized enterprisesY. J. Cruz, A. Villalonga, F. Castaño, M. Rivas, R. E. Haber2024https://doi.org/10.1016/j.orp.2024.100308
Multisided Business Model for Platform Offering AI Services | Book chapterK. Ejsmont, B. Gladysz, N. Roczon, A. Bettoni, Z. M. Barut, R. E. Haber, E. Minisci2024https://doi.org/10.1007/978-3-031-46452-2_7
Self-Reconfiguration for Smart Manufacturing Based on Artificial Intelligence: A Review and Case Study | Book chapterY. J. Cruz, F. Castaño, R. E. Haber, A. Villalonga, K. Ejsmont, B. Gladysz, Á. Flores, P. Alemany2024https://doi.org/10.1007/978-3-031-46452-2_8
Predictive modelling framework on the basis of artificial neural network: A case of nano-powder mixed electric discharge machiningM. Sana, M. U. Farooq, S. Anwar, R. E. Haber2023https://doi.org/10.1016/j.heliyon.2023.e22508
Data-Driven Insights on Time-to-Failure of Electromechanical Manufacturing Devices: A Procedure and Case StudyF. Castano, Y. J. Cruz, A. Villalonga, R. E. Haber2023https://doi.org/10.1109/TII.2022.3216629
Sustainable machining of additive manufactured SS-316L underpinning low carbon manufacturing goalM. U. Farooq, S. Anwar, R. Ullah, R. E. Haber2023https://doi.org/10.1016/j.jmrt.2023.03.122
Helical Milling of CFRP/Ti6Al4V Stacks Using Nano Fluid Based Minimum Quantity Lubrication (NF-MQL): Investigations on Process Performance and Hole IntegrityK. Mughal, M. P. Mughal, M. U. Farooq, M. Q. Saleem, R. E. Haber2023 https://doi.org/10.3390/ma16020566
A two-step machine learning approach for dynamic model selection: A case study on a micro milling processY. J. Cruz, M. Rivas, R. Quiza, R. E. Haber, F. Castaño, A. Villalonga2022https://doi.org/10.1016/j.compind.2022.103764
Engineering Self-Adaptive Capabilities in Wireless Sensors Based on Control Algorithms and Model-Based Design MethodologiesR. M. Del Toro Matamoros, A. Pruteanu, R. E. Haber2022https://doi.org/10.20944/preprints202212.0157.v1
A Novel Flushing Mechanism to Minimize Roughness and Dimensional Errors during Wire Electric Discharge Machining of Complex Profiles on Inconel 718M. U. Farooq, S. Anwar, M. S. Kumar, A. AlFaify, M. A. Ali, R. Kumar, R. E. Haber2022https://doi.org/10.3390/ma15207330
Ontology-Driven Guidelines for Architecting Digital Twins in Factory Automation ApplicationsW. M. Mohammed, R. E. Haber, J. L. Martinez Lastra2022https://doi.org/10.3390/machines10100861
A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twinsA. Villalonga, E. Negri, G. Biscardo, F. Castano, R. E. Haber, L. Fumagalli, M. Macchi2021https://doi.org/10.1016/j.arcontrol.2021.04.008
Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding processY. J. Cruz, M. Rivas, R. Quiza, A. Villalonga, R. E. Haber, G. Beruvides2021https://doi.org/10.1016/j.compind.2021.103530
Needs, Requirements and a Concept of a Tool Condition Monitoring System for the Aerospace IndustryS. Bombiński, J. Kossakowska, M. Nejman, R. E. Haber, F. Castaño, R. Fularski2021https://doi.org/10.3390/s21155086
The fuzzy Kalman filter: Improving its implementation by reformulating uncertainty representationF. Matía, V. Jiménez, B. P. Alvarado, R. E. Haber2021https://doi.org/10.1016/j.fss.2019.10.015
Digital twin-based Optimization on the basis of Grey Wolf Method. A Case Study on Motion Control SystemsR. E. Haber, S. Strzelczak, Z. Miljkovic, F. Castano, L. Fumagalli, M. Petrovic2021https://doi.org/10.1109/ICPS48405.2020.9274728
Local decision making based on distributed digital twin frameworkA. Villalonga, E. Negri, L. Fumagalli, M. MacChi, F. Castaño, R. E. Haber2020https://doi.org/10.1016/j.ifacol.2020.12.2806
Model-free control for machine toolsJ. Villagra, C. Join, R. E. Haber, M. Fliess2020https://doi.org/10.48550/arXiv.2005.08546
Quality monitoring of complex manufacturing systems on the basis of model driven approachF. Castaño, R. E. Haber, W. M. Mohammed, M. Nejman, A. Villalonga, J. L. Martinez Lastra2020https://doi.org/10.12989/sss.2020.26.4.495
Towards Sustainability of Manufacturing Processes by Multiobjective Optimization: A Case Study on a Submerged Arc Welding ProcessD. Rivas, R. Quiza, M. Rivas, R. E. Haber2020https://doi.org/10.1109/ACCESS.2020.3040196
Cloud-Based Industrial Cyber–Physical System for Data-Driven Reasoning: A Review and Use Case on an Industry 4.0 Pilot LineA. Villalonga, G. Beruvides, F. Castano, R. E. Haber2020https://doi.org/10.1109/TII.2020.2971057
Computer Vision System for Welding Inspection of Liquefied Petroleum Gas Pressure Vessels Based on Combined Digital Image Processing and Deep Learning TechniquesY. J. Cruz, M. Rivas, R. Quiza, G. Beruvides, R. E. Haber2020https://doi.org/10.3390/s20164505
Digital Twin-Based Optimization for Ultraprecision Motion Systems With Backlash and FrictionR. E. Haber, R. Quiza, A. Villalonga, J. Arenas, F. Castano2019https://doi.org/10.1109/ACCESS.2019.2928141
Optimal tuning of cascade controllers for feed drive systems using particle swarm optimizationM. Petrovic, A. Villalonga, Z. Miljkovic, F. Castano, S. Strzelczak, R. E. Haber2019https://doi.org/10.1109/INDIN41052.2019.8972132
Visual analytics framework for condition monitoring in cyber-physical systemsA. Villalonga, F. Castano, G. Beruvides, R. E. Haber, S. Strzelczak, J. Kossakowska2019https://doi.org/10.1109/ICSTCC.2019.8885611
Sensor Reliability in Cyber-Physical Systems Using Internet-of-Things Data A Review and Case StudyF. Castaño, S. Strzelczak, A. Villalonga, R. E. Haber, J. Kossakowska2019https://doi.org/10.3390/rs11192252
Towards Sensor Reliability Using Internet-of-Things LiDAR Data in a Cyber-Physical SystemF. Castaño, A. Villalonga, R. E. Haber, J. Kossakowska, S. Strzelczak2019https://doi.org/10.20944/preprints201907.0311.v1
Automatic Selection of Optimal Parameters Based on Simple Soft-Computing Methods: A Case Study of Micromilling ProcessesI. la Fe-Perdomo, G. Beruvides, R. Quiza, R. Haber, M. Rivas2019https://doi.org/10.1109/TII.2018.2816971
Agent-Based Supervision for Service-Oriented Industrial Cyber–Physical SystemsA. Biskupovic, A. Villalonga, F. Castaño, R. E. Haber and F. Núñez2024https://doi.org/10.1109/TII.2024.3514178

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