Laboratory of Analysis of Systems for the Assessment of Reliability, Risk and Resilience (LASAR3) is expanding its global collaboration network by welcoming two new brilliant PhD students from China and Algeria! 🌍 We are happy to welcome: 👨🔬 Jiashan Gao – 🎓 Beihang University 📚 He will be conducting research on failure mechanism and life prediction of airborne jet pipe valve based on mixed physical information 👨🔬 Yasser Rehail – 🎓 University of Science and Technology of Oran - Mohamed Boudiaf 📚 He will be conducting research on the integration of advanced risk analysis methodologies to improve risk analysis in the petrochemical plants by analysing leak scenarios and their potential consequences Please join us in welcoming them to the team. 🙌 #Welcome #ResearchExcellence #GlobalCollaboration #PhDStudents #ResearchCommunity
Laboratory of Analysis of Systems for the Assessment of Reliability, Risk and Resilience (LASAR3)
Servizi di ricerca
Milan, Lombardy 1.062 follower
POLITECNICO DI MILANO - Department of Energy
Chi siamo
The Laboratory of Analysis of Systems for the Assessment of Reliability, RIsk and Resilience (LASAR3, www.lasar.polimi.it) of the Politecnico di Milano (www.polimi.it) develops research and educational/training courses focused on the modeling of the failure-repair-maintenance behavior of components and complex systems and critical infrastructures, for the analysis of their reliability, maintainability, prognostics, safety, vulnerability, resilience and security characteristics. The main methods and techniques developed and used are advanced system analysis methods, Monte Carlo simulation, artificial intelligence and machine learning, decision analytics and optimization heuristics. The main industrial areas of interest are those of the energy sector (nuclear, oil and gas, renewables etc.) and also those related to transportation and telecommunication.
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https://www.lasar.polimi.it/
Link esterno per Laboratory of Analysis of Systems for the Assessment of Reliability, Risk and Resilience (LASAR3)
- Settore
- Servizi di ricerca
- Dimensioni dell’azienda
- 11-50 dipendenti
- Sede principale
- Milan, Lombardy
- Tipo
- Non profit
- Settori di competenza
- Risk Assessment, Resilience Assessment, Reliability Engineering, Maintenance Engineering e Prognostics and Health Management (PHM)
Località
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Principale
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Via Privata Giuseppe La Masa, 34
Milan, Lombardy 20156, IT
Dipendenti presso Laboratory of Analysis of Systems for the Assessment of Reliability, Risk and Resilience (LASAR3)
Aggiornamenti
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🚀 Last week on November 25th Laboratory of Analysis of Systems for the Assessment of Reliability, Risk and Resilience (LASAR3) had the privilege to host the IEEE Winter Workshop of the Seminar Series on System Reliability, Risk, and Resilience in the Bovisa Campus, Politecnico di Milano. The event brought together experts from Beihang University and Politecnico di Milano to discuss transformative research and methodologies in system reliability, risk management, and resilience engineering. 🗣️ Event Highlights: Opening Remarks by Prof. Enrico Zio (Politecnico di Milano & MINES Paris-PSL University) set the stage for an insightful session. Introduction to Uncertainty Theory by Dr. Waichon Lio (Beihang University) offered new perspectives on handling aleatory and epistemic uncertainty. Physics-based Models for Reliability Assessment by Haoran Liu (刘浩然) (Beihang University & Politecnico di Milano) showcased innovative approaches leveraging multi-modal data. Attractor-based Reliability Modeling by Dr. Wen-Bin Chen (Beihang University) presented a novel method combining physical interpretability and generalization. Fatigue Life Prediction for Tubular Structures by Jiashan Gao (Beihang University) addressed structural complexity under non-proportional loads. Fine-tuning LLMs for Fault Diagnosis by Prof. Jie Liu (Beihang University) highlighted the potential of AI in fault detection and system health management. 🎉 We thank all speakers, participants, and organizers for the insightful event #SystemReliability #RiskManagement #EngineeringResilience #IEEEWorkshop #PolitecnicoDiMilano
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Our PhD student Haoran Liu (刘浩然) presented her research work "Analysis of Three-dimensional (3-D) Warranty Data Considering Fluctuated Sales and Heterogeneous Failures" at the #ICSRS2024 in Catania, Italy. Congratulations! #WarrantyAnalysis #KnowledgeGraph #NaturalLanguageProcessing
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Our PhD student Yike Zhao (赵艺珂) presented her research work "Deep Neural Network based on Domain Adaptation for the Prediction of Critical Parameters in Hazardous Plants" at the #ICSRS2024 in Catania, Italy. Congratulations! #DeepNeuralNetworks #DomainAdaptation #NuclearPowerPlants
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Our PhD student Juan-Pablo Futalef presented his research work "A Classification Problem Formulation for the Reliability Assessment of End-To-End Communication among Cyber Devices of Cyber-Physical Systems" at the #ICSRS2024 in Catania, Italy. His presentation was also recognised the best presentation award of the session "Risk assessment". Congratulations! #ReliabilityAssessment #CyberPhysicalSystems #TelecommunicationNetworks #GradientBoosting
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Join us in congratulating Prof. Francesco Di Maio who presented the preliminary results and ambitious goals of the research project "ARtificial Intelligence and STOchasTic simulation for the rEsiLience of critical infrastructurES (ARISTOTELES)” at #ICSRS2024 #ArtificialIntelligence #AdvancedSimulation #CriticalInfrastructures #ClimateChange
How can we deal with #extreme #naturalhazards under #climatechange, and protect our #criticalinfrastructures, so that we can #optimize their #resilience? On November 20, at the 8th International conference on Systems Reliability and Safety (ICSRS2024), Catania – Italy, @Prof. Francesco Di Maio (Laboratory of Analysis of Systems for the Assessment of Reliability, Risk and Resilience (LASAR3), Politecnico di Milano) on behalf of the consortium members (Matteo Taroni (INGV) and Prof. Nicola Pedroni (Politecnico di Torino, Prof. Enrico Zio (Politecnico di Milano, and Santiago Taguado (Politecnico di Milano) has presented the ambitious goals and the preliminary results of the PRIN2022 research project financed by MUR “ARtificial Intelligence and STOchasTic simulation for the rEsiLience of critical infrastructurES (ARISTOTELES)”. #naturalhazards #climatechange #criticalinfrastructures #artificialintelligence #advancedsimulation
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Our Phd Student Santiago Taguado presented his research "Artificial Intelligence (AI) – Accelerated Stochastic Simulation for the Resilience Assessment of Critical Energy Infrastructures” at #ICSRS2024. Congratulations!
It was a great opportunity to present our abstract “Artificial Intelligence (AI) – Accelerated Stochastic Simulation for the Resilience Assessment of Critical Energy Infrastructures” at the International Conference on System Reliability and Safety (ICSRS) in Catania. Very much enjoyed the whole experience! Many thanks to Prof. Francesco Di Maio and Prof. Enrico Zio for their supervision throughout the research, writing and presentation process.
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Our PhD student Thomas Coscia presented his research work "Probabilistic Safety Assessment of Nuclear Power Plants under Climate Change" at the #ICSRS2024 in Catania, Italy. His presentation was also recognised the best presentation award of the session "Safety Analysis in the Energy Sector". Congratulations! #ProbabilisticSafetyAssessment #NuclearPowerPlants #ClimateChange
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Our PhD student Stefano Marchetti presented his research work "A Deep Reiforcement Learning method for finding the risk-based optimal prescriptive maintenance policy of degrading safety barriers" at the #ICSRS2024 in Catania, Italy. His presentation was also recognised the best presentation award of the session "Maintenance Optimization". Congratulations! #DeepReinforcementLearning #SafetyBarriers #NaTech #ProcessIndustry
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🎉 Congratulations to Prof. Enrico Zio, who has received the prestigious recognition of "Educator of the Year 2024" from the International System Safety Society (ISSS) 🎉
Il Prof. Enrico Zio, docente del Dipartimento di Energia del Politecnico di Milano, ha ricevuto il prestigioso riconoscimento di "Educator of the Year 2024" dalla International System Safety Society (ISSS). Questo premio viene assegnato ogni anno per i contributi eccezionali all'educazione sulla sicurezza dei sistemi e per l'avanzamento della conoscenza in questo settore. Il Prof. Zio è un esperto di fama internazionale nei campi dell'affidabilità dei sistemi, sicurezza, resilienza, valutazione del rischio e ingegneria della manutenzione. Conosciuto per le sue ricerche pionieristiche nell'utilizzo di metodi avanzati di simulazione Monte Carlo, intelligenza artificiale e ottimizzazione evolutiva, ha contribuito in modo significativo alla valutazione del rischio e della resilienza dei sistemi complessi. -- Prof. Enrico Zio, professor of the Department of Energy - Politecnico di Milano, has received the prestigious recognition of "Educator of the Year 2024" from the International System Safety Society (ISSS). This award is given annually for outstanding contributions to systems security education and the advancement of knowledge in this area. Prof. Zio is an internationally renowned expert in system reliability, safety, resilience, risk assessment, and maintenance engineering. Known for his pioneering research in using advanced Monte Carlo simulation methods, artificial intelligence, and evolutionary optimization, he has contributed significantly to complex systems' risk and resilience assessment.
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