BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Rome BEGIN:DAYLIGHT DTSTART:20260329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20251026T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251117T090851Z UID:0F4F867C-13F8-4B31-8F27-0B9E354DE3F3 DTSTART;TZID=Europe/Rome:20251112T113000 DTEND;TZID=Europe/Rome:20251112T133000 DESCRIPTION:Wednesday 12th November 2025\, h. 11:30-14:00\nLocation: B12 L1 .0 - Milano Bovisa - Via La Masa\, Politecnico di Milano\n\nSpeakers:\nZim in Liu\, Xi’an Jiaotong University\, Xi’an\, China\nAnomaly detection of machinery under time-varying operating conditions based on state-space and neural network modeling\nHao Bai\, Tongji University\, Shanghai\, Chin a\nExtreme rainfall induced risk mapping for metro transit systems\nXin Zh ang\, Sichuan University\, Chengdu\, China\nA novel Bayesian neural networ k approach for nuclear Root-Mean-Square charge radii and the difference in charge radii of mirror pairs\nChuanyang Zhao\, Harbin Engineering Univers ity\, Harbin\, China\nJoint Optimization of Operation and Maintenance and Grid-Connected Power Generation for Offshore Wind Farms\nJingxuan Qiu\, Na njing University of Aeronautics and Astronautics\, Nanjing\, China\nUncert ainty Quantification Analysis with the Arbitrary Polynomial Chaos Method: Application in slipstream effect of propeller aircraft\nYulang Liu\, Xi'an Jiaotong University\, Xi'an\, China\nHealth prediction under limited degr adation data for rocket engine bearings via conditional inference knowledg e-enrichment approach\nYuxuan Tao\, Southeast University\, Nanjing\, China \nSeismic resilience of urban infrastructures.\nShuaiqing Deng\, Xi’an J iaotong University\, Xi’an\, China\nSharpness-aware multidomain imbalanc e generalization with external adversarial learning and intrinsic balanced entropy regularization for intelligent fault diagnosis\nWei Wang\, Northw estern Polytechnical University\, Xi’an\, China\nUncertainty-aware RUL p rediction under non-stationary conditions: A complementary Bayesian contin ual learning framework with dynamic calibration\nYihu Zhu\, Harbin Enginee ring University\, Harbin\, China\nCoordinated Control of Nuclear Power Pla nts Based on Multi-Agent Reinforcement Learning\nXin Dong\, Shandong Unive rsity of Finance and Economics\, Jinan\, China\nData- and knowledge- drive n human factors risk management method in maritime transportation system\n Chang Guo\, Xi’an Jiaotong University\, Xi’an\, China\nCausal explaini ng guided domain generalization for rotating machinery intelligent fault d iagnosis\nYunpeng Liu\, Northwestern Polytechnical University\, Xi’an\, China\nDeep sensing and intelligent prognostics in aero-engine health moni toring: from the perspective of explainable deep learning\nShuwen Zheng\, Beihang University\, Beijing\, China\nCausal graph neural network for comp lex system fault diagnosis with interpretability\nYang Yu\, East China Uni versity of Science and Technology\, Shanghai\, China\nLocalization of Fals e Data Injection Attacks in Smart Grids With Renewable Energy Integration via Spatiotemporal Network\nLiu Mingyang\, Yanshan University\, Qinhuangda o\, China\nResearch on Piston Pump Life Prediction Based on the Deep Integ ration of Failure Mechanisms and Data-Driven Approaches\nHao Li\, Beihang University\, Beijing\, China\nSpeech Title: Research on Acoustic Emission Signal Characterization and Quantitative Evaluation Methods for Damage in Mechanical Transmission Systems\nZongjie Li\, Politecnico di Milano\, Mila no\, Italy\nOnline Monitoring and Fault Early Warning Prediction Method fo r The Operational Status of Steam Turbine Sliding Pin Systems—Taking the Lateral Pins as an Example\nChenyang Jiao\, Politecnico di Milano\, Milan o\, Italy\nEnsemble of Simplified Graph Wavelet Neural Networks for Planet ary Gearbox Fault Diagnosis\nAlice Andolfi\, Politecnico di Milano\, Milan o\, Italy\nTackling the Challenge of Long Multivariate Time Series Generat ion in Nuclear and Energy Systems\nWeiwei Tang\, Politecnico di Milano\, M ilano\, Italy\nSurrogate Model–Based Reliability Analysis of Energy Stru ctures\nWenxin Jiang\, Politecnico di Milano\, Milano\, Italy\nSparsity-Gu ided Iterative Filtering Method for Incipient Fault Extraction\nYuantao Ya o\, Institute of Nuclear Energy Safety Technology\, CAS\, Hefei\, China\nR ecent Advances in AI-Driven Predictive Maintenance for Nuclear Reactor Sys tems\nFrancesca Gamba\, Politecnico di Milano\, Milan\, Italy\nA Bayesian Active Learning Framework for Efficient Exploration of Expensive Computati onal Design Spaces\nD’Alessandro Riccardo\, Politecnico di Milano\, Ital y\nReliability Estimation of Passive Safety Systems in SMRs using DynamicB ayesian Network Modeling\nGiulia Steiner\, Politecnico di Milano\, Milan\, Italy\nDevelopment of an ANN model to predict reactor core parameters\n\n Milano\, Lombardia\, Italy LOCATION:Milano\, Lombardia\, Italy ORGANIZER:francesco.dimaio@polimi.it SEQUENCE:3 SUMMARY:Seminar series on system reliability\, risk and resilience FALL WOR KSHOP III URL;VALUE=URI:https://events.vtools.ieee.org/m/512634 X-ALT-DESC:Description: <br /><p><br>Wednesday 12th November 2025\, h. 11:3 0-14:00<br>Location: B12 L1.0 - Milano Bovisa - Via La Masa\, Politecnico di Milano</p>\n<p>Speakers:<br>&nbsp\;Zimin Liu\, Xi&rsquo\;an Jiaotong Un iversity\, Xi&rsquo\;an\, China<br>Anomaly detection of machinery under ti me-varying operating conditions based on state-space and neural network mo deling<br>Hao Bai\, Tongji University\, Shanghai\, China<br>Extreme rainfa ll induced risk mapping for metro transit systems<br>Xin Zhang\, Sichuan U niversity\, Chengdu\, China<br>A novel Bayesian neural network approach fo r nuclear Root-Mean-Square charge radii and the difference in charge radii of mirror pairs<br>Chuanyang Zhao\, Harbin Engineering University\, Harbi n\, China<br>Joint Optimization of Operation and Maintenance and Grid-Conn ected Power Generation for Offshore Wind Farms<br>&nbsp\;Jingxuan Qiu\, Na njing University of Aeronautics and Astronautics\, Nanjing\, China<br>Unce rtainty Quantification Analysis with the Arbitrary Polynomial Chaos Method : Application in slipstream effect of propeller aircraft<br>&nbsp\;Yulang Liu\, Xi'an Jiaotong University\, Xi'an\, China<br>Health prediction under limited degradation data for rocket engine bearings via conditional infer ence knowledge-enrichment approach<br>Yuxuan Tao\, Southeast University\, Nanjing\, China<br>Seismic resilience of urban infrastructures.<br>&nbsp\; Shuaiqing Deng\, Xi&rsquo\;an Jiaotong University\, Xi&rsquo\;an\, China<b r>Sharpness-aware multidomain imbalance generalization with external adver sarial learning and intrinsic balanced entropy regularization for intellig ent fault diagnosis<br>&nbsp\;Wei Wang\, Northwestern Polytechnical Univer sity\, Xi&rsquo\;an\, China<br>Uncertainty-aware RUL prediction under non- stationary conditions: A complementary Bayesian continual learning framewo rk with dynamic calibration<br>&nbsp\;Yihu Zhu\, Harbin Engineering Univer sity\, Harbin\, China<br>Coordinated Control of Nuclear Power Plants Based on Multi-Agent Reinforcement Learning<br>Xin Dong\, Shandong University o f Finance and Economics\, Jinan\, China<br>Data- and knowledge- driven hum an factors risk management method in maritime transportation system<br>&nb sp\;Chang Guo\, Xi&rsquo\;an Jiaotong University\, Xi&rsquo\;an\, China<br >Causal explaining guided domain generalization for rotating machinery int elligent fault diagnosis<br>&nbsp\;Yunpeng Liu\, Northwestern Polytechnica l University\, Xi&rsquo\;an\, China<br>Deep sensing and intelligent progno stics in aero-engine health monitoring: from the perspective of explainabl e deep learning<br>&nbsp\;Shuwen Zheng\, Beihang University\, Beijing\, Ch ina<br>Causal graph neural network for complex system fault diagnosis with interpretability<br>&nbsp\;Yang Yu\, East China University of Science and Technology\, Shanghai\, China<br>Localization of False Data Injection Att acks in Smart Grids With Renewable Energy Integration via Spatiotemporal N etwork<br>&nbsp\;Liu Mingyang\, Yanshan University\, Qinhuangdao\, China<b r>Research on Piston Pump Life Prediction Based on the Deep Integration of Failure Mechanisms and Data-Driven Approaches<br>&nbsp\;Hao Li\, Beihang University\, Beijing\, China<br>Speech Title: Research on Acoustic Emissio n Signal Characterization and Quantitative Evaluation Methods for Damage i n Mechanical Transmission Systems<br>&nbsp\;Zongjie Li\, Politecnico di Mi lano\, Milano\, Italy<br>Online Monitoring and Fault Early Warning Predict ion Method for The Operational Status of Steam Turbine Sliding Pin Systems &mdash\;Taking the Lateral Pins as an Example<br>&nbsp\;Chenyang Jiao\, Po litecnico di Milano\, Milano\, Italy<br>Ensemble of Simplified Graph Wavel et Neural Networks for Planetary Gearbox Fault Diagnosis<br>&nbsp\;Alice A ndolfi\, Politecnico di Milano\, Milano\, Italy<br>Tackling the Challenge of Long Multivariate Time Series Generation in Nuclear and Energy Systems< br>&nbsp\;Weiwei Tang\, Politecnico di Milano\, Milano\, Italy<br>Surrogat e Model&ndash\;Based Reliability Analysis of Energy Structures<br>&nbsp\;W enxin Jiang\, Politecnico di Milano\, Milano\, Italy<br>Sparsity-Guided It erative Filtering Method for Incipient Fault Extraction<br>&nbsp\;Yuantao Yao\, Institute of Nuclear Energy Safety Technology\, CAS\, Hefei\, China< br>Recent Advances in AI-Driven Predictive Maintenance for Nuclear Reactor Systems<br>Francesca Gamba\, Politecnico di Milano\, Milan\, Italy<br>A B ayesian Active Learning Framework for Efficient Exploration of Expensive C omputational Design Spaces<br>&nbsp\;D&rsquo\;Alessandro Riccardo\, Polite cnico di Milano\, Italy<br>Reliability Estimation of Passive Safety System s in SMRs using DynamicBayesian Network Modeling<br>&nbsp\;Giulia Steiner\ , Politecnico di Milano\, Milan\, Italy<br>Development of an ANN model to predict reactor core parameters</p> END:VEVENT END:VCALENDAR