Publications & Research Outputs
My research and engineering work spans vacuum systems, accelerator technology, fusion engineering, safety, experimental validation, controls and data-driven modelling.
The list below combines peer-reviewed journal articles, conference papers, submitted manuscripts, preprints and selected technical research outputs. Where a public document is available, the original PDF or publication record is linked directly.
For the authoritative researcher record, see my ORCID researcher profile.
Published in EPJ Research Infrastructures, 10, 33, 2026
AI-based differential-vacuum control using data-driven modelling and intelligent control for the MuVacAS prototype.
Recommended citation: G. Rodríguez-Llorente, G. Gallardo Romero, R. Morant Navascués, A. Sabogal, C. Torregrosa-Martín, I. Podadera, M. Weber, L. L. Bonilla, R. Gómez-Espinosa Martín. AI-Based Control of Differential Vacuum in the MuVacAS Prototype for IFMIF-DONES Particle Accelerator. EPJ Research Infrastructures, 10, 33 (2026). DOI: 10.1007/s41781-026-00186-3. https://doi.org/10.1007/s41781-026-00186-3
Published in 23rd Annual Meeting of the Particle Accelerator Society of Japan (PASJ2026), 2026
Submitted manuscript on improving the lifetime and operational stability of the LIPAc ECR ion source by modifying the magnetic-field configuration around the BN disk.
Recommended citation: T. Akagi, A. Sabogal, P. Gonzalez, C. Vermare, F. Cismondi, B. Bolzon, N. Chauvin, I. Podadera. Study on Improving the Lifetime of the Ion Source for the LIPAc. 23rd Annual Meeting of the Particle Accelerator Society of Japan, 2026.
Published in Fusion Engineering and Design, 222, 2026
Journal article describing the MuVacAS experimental setup and its use for testing mitigation strategies against loss of vacuum accidents.
Recommended citation: A. Sabogal, C. Torregrosa-Martín, D. Rodríguez, C. Caballero, I. Podadera, A. Ibarra, D. Jimenez-Rey, F. Martin-Fuertes, A. Delgado, U. Ruiz de Gopegui, K. Garmendia. MuVacAS: Experimental setup for testing mitigation strategies against Loss of Vacuum Accidents in the IFMIF-DONES accelerator. Fusion Engineering and Design, 222 (2026). DOI: 10.1016/j.fusengdes.2025.115473. https://doi.org/10.1016/j.fusengdes.2025.115473
Published in Machine Learning and the Physical Sciences Workshop, NeurIPS 2025, 2025
Data-driven autonomous pressure control using a deep-learning surrogate model and deep reinforcement learning for the MuVacAS vacuum system.
Recommended citation: G. Rodriguez-Llorente, G. Gallardo Romero, R. Morant Navascués, N. Khvatkin Petrovsky, A. Sabogal, and R. Gómez-Espinosa Martín. Autonomous Pressure Control in MuVacAS via Deep Reinforcement Learning and Deep Learning Surrogate Models. ML4PS NeurIPS 2025. arXiv:2512.15521. https://arxiv.org/abs/2512.15521
Published in Nuclear Fusion, 65, 2025
Overview of the accelerator systems and their current design status within IFMIF-DONES.
Recommended citation: I. Podadera et al. Overview and current status of the IFMIF-DONES accelerator systems. Nuclear Fusion, 65 (2025). DOI: 10.1088/1741-4326/ADE267. https://doi.org/10.1088/1741-4326/ADE267
Published in Vacuum, 234, 114091, 2025
Design status and engineering development of the IFMIF-DONES accelerator vacuum system.
Recommended citation: C. Caballero Pérez, M. J. Ferreira, V. Hauer, I. Podadera, A. Sabogal, D. Sánchez Herranz, C. Torregrosa. Design status of the vacuum system of IFMIF-DONES particle accelerator. Vacuum, 234, 114091 (2025). DOI: 10.1016/j.vacuum.2025.114091. https://doi.org/10.1016/j.vacuum.2025.114091
Published in SSRN Preprint, 2025
Preprint version of the MuVacAS experimental-facility study.
Recommended citation: A. Sabogal et al. MuVacAS: Experimental Setup for Testing Mitigation Strategies Against Loss of Vacuum Accidents in the IFMIF-DONES Accelerator. SSRN, 2025. DOI/final article: 10.1016/j.fusengdes.2025.115473. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5153014
Published in 14th International Particle Accelerator Conference, IPAC 2023, 2023
Experimental prototype for studying vacuum-loss accident scenarios in the IFMIF-DONES accelerator.
Recommended citation: A. Sabogal et al. Multipurpose Vacuum Accident Scenarios (MuVacAS) Prototype for the IFMIF-DONES Linear Accelerator. Proceedings of IPAC'23, Venice, Italy, 2023, pp. 4324-4327. DOI: 10.18429/JACoW-IPAC2023-THPA156. /files/THPA156.pdf
Published in Fusion Engineering and Design, 191, 113556, 2023
Overview of the diagnostic and instrumentation integration strategy for IFMIF-DONES.
Recommended citation: C. Torregrosa-Martin et al. (2023). Overview of IFMIF-DONES diagnostics: Requirements and techniques. Fusion Engineering and Design, 191, 113556. /files/overview_Diagnostics.pdf
Published in 13th International Symposium on Linear Drives for Industry Applications (LDIA), IEEE, 2021
Experimental validation of a linear motor using a three-axis static test bench.
Recommended citation: J. F. G. Rojo, F. Lluesma-Rodriguez, D. F. Sanchez, A. P. Sabogal and G. R. Perez. Validation of a Linear Motor for Hyperloop Applications using a 3-axis Static Test Bench. 2021 13th International Symposium on Linear Drives for Industry Applications (LDIA), Wuhan, China, 2021, pp. 1-4. DOI: 10.1109/LDIA49489.2021.9505759. https://doi.org/10.1109/LDIA49489.2021.9505759
Published in Journal de Ciencia e Ingeniería, 12(1), 2020
Design and instrumentation of a rowing machine for applications involving users with spinal cord injury.
Recommended citation: Toro, A. S. V.; Garzón, H. D. B.; Sabogal, A. S. P.; Wilches, S. T.; Latorre, D. O.; & Ramírez-Martínez, A. M. (2020). Diseño para la adaptación e instrumentación de una máquina de remo a ser usada en sujetos con lesión medular. Journal de Ciencia e Ingeniería, 12(1). DOI: 10.46571/jci.2020.1.6. https://doi.org/10.46571/jci.2020.1.6
Published in Technical design document, 2019
Engineering design study of a braking system for a Hyperloop UPV vehicle.
Recommended citation: Hyperloop UPV. Diseño del Sistema de Frenado del Vehículo (POD) Hyperloop UPV. Technical design document, 2019. /files/CIMM2019.pdf
Published in MSc Mechanical Engineering, Universitat Politècnica de València, 2019
Master’s thesis in Mechanical Engineering at Universitat Politècnica de València, developing a numerical technique to characterize relative stiffness between liver tissue and hepatic lesions using the gradient method.
Recommended citation: Anderson Sabogal. Desarrollo de una técnica numérica para la caracterización de la rigidez relativa entre el hígado y una lesión hepática, para su uso como biomarcador, basada en el método del gradiente. Master's Thesis, Universitat Politècnica de València, 2019. https://riunet.upv.es/handle/10251/130498
Published in Journal of Physics: Conference Series, 1159, 012018, 2019
Optimization of material-selection parameters for the body and inserts of a tricone drill bit.
Recommended citation: Benavides-Serrano, A. F.; Peña-Sabogal, A. S.; León, O. M.; Sánchez-Acevedo, H. G.; & González-Estrada, O. A. (2019). Optimization of parameters in material selection of tricone drill bit head design. Journal of Physics: Conference Series, 1159, 012018. /files/Optimization.pdf
Published in CIMM 2017 / Universidad de Antioquia, 2017
Instrumentation of a rowing machine for three-dimensional kinematic and kinetic analysis.
Recommended citation: A. Sabogal et al. Instrumentación de una Máquina de Remo para Análisis Tridimensional Cinemático y Cinético. CIMM 2017. /files/CIMM2017.pdf
