BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:ENBIS Spring Meeting 2026 DTSTART:20260528T060000Z DTEND:20260529T193000Z DTSTAMP:20260521T173000Z UID:indico-event-79@conferences.enbis.org CONTACT:office@enbis.org DESCRIPTION:Speakers: Maria Luz Gamiz\n\nWelcome to the ENBIS Spring Meet ing \n\nGranada\, Spain\, May 28-29\, 2026\nReliability\, maintenance and safety in the data-driven era\nIn a context of increasing system complexi ty\, digital transformation\, and growing societal demands for safety\, re silience\, vulnerability reduction\, and sustainability\, the field of rel iability and maintenance engineering is undergoing a profound evolution. T his year’s Spring Meeting aims to serve as a cross-disciplinary platform for researchers\, practitioners\, and industry experts to exchange cuttin g-edge developments and strategic insights. At its core\, the meeting focu ses on how data\, models\, and algorithms can transform the design\, monit oring\, and maintenance of engineering systems\, both in theory and in pra ctice. We welcome both contributions that advance traditional maintenance and reliability models and those that push boundaries using AI-based metho ds to support smarter and more adaptive systems.\nBeyond technical depth\, the conference will encourage discussions on strategic challenges and opp ortunities in the field\, including the deployment of digital twins\, inte gration of AI into safety-critical systems\, and the incorporation of sust ainability into reliability-centered maintenance planning. The goal of thi s Spring Meeting is to facilitate a dynamic exchange of ideas that promote s scientific advancement and its effective translation into practical solu tions\, fostering meaningful collaboration with industry and society in th e reliability and maintenance field.\nTopics of interest include\, but are not limited to:\n\nData-driven reliability and maintenance.\nStochastic p rocesses for reliability and failure modelling.\nCondition monitoring\, di agnostics\, and prognostics.\nPredictive maintenance and digital twins.\nM achine learning and neural networks in reliability engineering.\nStructura l health monitoring and sensor system design.\nUncertainty and sensitivity analysis for safety evaluation of critical structures.\nValue of informat ion analysis for improved decision-making in structural safety.\nResilienc e engineering and infrastructure systems management.\nSustainable maintena nce.\nBayesian methods in reliability and maintenance modelling.\nPartiall y Observable Markov Processes for Condition-Based Maintenance.\nDeep Learn ing for Remaining Useful Life (RUL) Prediction.\nHybrid AI-Statistical Mod els for Fault Diagnosis.\nReliability and Maintenance Strategies for Indus try 5.0.\n\nOrganizing committee\nMaría Luz Gámiz\, University of Granad a\, Spain (Chair)Juan Eloy Ruiz Castro\, University of Granada\, SpainRoc ío Raya Miranda\, University of Granada\, SpainFernando Navas Gómez\, Un iversity of Granada\, SpainDelia Montoro Cazorla\, University of Jaen\, Sp ainNuria Caballé Cervigón\, Complutense University of Madrid\, SpainLuc ía Bautista Bárcena\, University of Extremadura\, Spain\nScientific prog ram committee\nInma T. Castro\, University of Extremadura\, Spain (Chair)M ari Carmen Segovia García\,University of Granada\, SpainRosa Elvira Lillo Rodríguez\, Carlos III University of Madrid\, SpainMassimiliano Giorgio\ , University of Naples Federico II\, ItalyJacqueline Asscher\, Kinneret Co llege\, Technion\, IsraelNikolaus Haselgruber\, CIS consulting in industri al statistics GmbH\, Austria\n \nENBIS Spring Meeting 2026 Highlights\nSp ecial Session:\nMaintenance in the Fusion Industry\n \nMission and releva nce of the event:This special session highlights how cutting-edge reliabil ity engineering and maintenance technology enables safe\, reliable operati on of fusion facilities and other Big Science installations. These assets include first-in-the-world prototypes that operate under vacuum\, cryogeni cs\, high magnetic fields and radiation\, while needing high availability and strong safety margins. Unexpected downtime severely impacts costs and availability\, components have long procurement times\, and most operation s require remote handling\, making reliability\, maintainability\, inspect ion planning and logistics inseparable from design and operation.By bringi ng together top voices from fusion industry\, major Big science installati ons and academia\, the session aims to build a shared roadmap—priority a reas\, benchmark problems\, transferable methods\, data standards\, and co llaboration opportunities—that accelerates learning and knowledge cross- pollination. Participants will leave with concrete lessons learnt from ind ustry\, new research questions to tackle jointly\, and collaboration oppor tunities to help scaling fusion technology and Big Science operations for tomorrow.\n \nReasons to attend:\n\nHear first-hand case studies from lea ding fusion and Big Science organisations on how they manage reliability\, maintainability and safety at real scale.\nLearn what data is actually av ailable (and missing)\, which methods work in practice\, and how to make G enAI and digital-twin approaches auditable for safety-critical use.\nNetwo rk with statisticians\, engineers and decision-makers\, identify collabora tion opportunities\, and help shape a shared research and benchmarking age nda.\n\n \nSession Organizers:\nProf. Juan Chiachio | Email: jchiachio@ug r.esDepartment of Structural Mechanics & Hydraulic EngineeringAndalusian R esearch Institute in Data Science and Computational Intelligence (DaSCI)Un iversity of Granada\, Spain\nProf. Manuel Chiachio | Email: mchiachio@ugr. esDepartment of Structural Mechanics & Hydraulic EngineeringAndalusian Res earch Institute in Data Science and Computational Intelligence (DaSCI)Univ ersity of Granada\, Spain\nPlenary speakers\nProfessor Nikolaos Limnios ( Université de Technologie de Compiègne\, SorbonneUniversity Alliance (Fr ance))\n\nNikolaos Limnios\, is an Emeritus Professor (Exceptional class F ull Professor) at University of Technology of Compiègne (UTC) Sorbonne Un iversity\, and former Director of the Laboratory of Applied Mathematics. H e has obtained his diploma in 1979 at AUTh Greece\, PhD in 1983\, and Dr o f Sciences (Doctoratd'Etat) in 1991 at UTC France. In 1988 he was appointe d assistant professor (Maitre de conferences)\, and in 1993 a Professor at UTC in the Laboratory of Applied Mathematics. His research interest inclu de stochastic processes and statistics with applications in biostatistics\ , in reliability/maintenance\, statistical seismology\, stochastic mechani cs\, etc. He is the Editor-in-Chief of book series “Mathematics and Stat istics” in iSTE with J. Wiley. He has published more than 150 journal pa pers and about 15 books on theory and applications of stochastic processes and statistics\; including the books: Semi-Markov chains and hidden semi- Markov Chains toward applications\, Springer\, 2008 (with V. S. Barbu)\; S tochastic Systems in Merging Phase Space\, World Scientific\, 2005 (with V . S. Koroliuk)\; Semi-Markov Processes and Reliability\, Birkhauser\, 2001 (with G. Oprisan).\n \n\nAnne Barros\, PHD\, is professor in reliability and maintenance modelling at Ecole CentraleSupélec\, University of Paris -Saclay\, France. Her research focus is on resilience analytics\, degradat ion modelling\, prognostics\, condition based and predictive maintenance. She got a PHD then a professorship position at University of Technology of Troyes\, France (2003-2014) and spent five years as a full-time professor at NTNU\, Norway (2014-2019). She is currently heading the research depar tment of Industrial Engineering and the Chair of Risk and Resilience of Co mplex Systems (in the Risk Resilience and Reliability – R3 Group "http: //r3.centralesupelec.fr/") with the ambition to improve resilience assessm ent and maintenance modelling methods for complex systems.\n \nENBIS Next -Gen Session\nAs part of the ENBIS Spring Meeting\, a special session for PhD students (ENBIS Next-Gen Session) will be organized. This session wi ll be an excellent opportunity for doctoral students to\n\nPresent the cur rent progress of their PhD research\nShare ideas and challenges with peers \nReceive feedback from senior researchers in this area\n\nApplication sub mission deadline: March 6.\nPhD students interested in participating in t his session should:\n\nSubmit their abstract via the conference website \ nSend an email to the session organizer\, Antonio Piscopo\, including a sh ort CV.\n\nSpecial Issue:\ndelegates will be invited to submit papers to a Special Issue in\nProceedings of the Institution of Mechanical Engineers\ , Part O: Journal of Risk and Reliability\nguest edited by the conference chairs. Papers will be subject to the standard peer review processes of th e journal.\nVenue\nIMAG – Instituto de Matemáticas de la Universidad de GranadaRector López Argüeta Street18071 Granada\, Spainhttps://wpd.ugr. es/~imag/\n\nContact information\nFor any question about the meeting venue and scientific programme\, registration and paper submission\, feel free to contact: Inma Torres and Maria Luz Gamiz.\n\n\nhttps://conferences.enbi s.org/event/79/ IMAGE;VALUE=URI:https://conferences.enbis.org/event/79/logo-2590257072.png LOCATION:Granada\, Spain URL:https://conferences.enbis.org/event/79/ END:VEVENT END:VCALENDAR