Special Session Abstract submission

The following special sessions, are now open to potential speakers or contributors that intend to be part of the Special session:

SS-01: Advancements in Risk Assessment in Aviation and Space Systems 📋

Mario Brito1 and Moacyr Machado Cardoso-Junior2

1 Centre for Risk Research, University of Southampton, United Kingdom

2 Aeronautics Institute of Technology, Brazil

SS-02: Recent Advances in Software Developments for Risk, Reliability, and Uncertainty Quantification 📋

Adolphus Lye1, Chen Yu2, Matteo Broggi3 and Edoardo Patelli4

1 National University of Singapore, Singapore

2 University of Liverpool, United Kingdom

3 Leibniz University Hannover, Germany

4 University of Strathclyde, United Kingdom

SS-03: Advances in Bayesian Machine-Learning Strategies for Human Reliability Analysis in Safety-Critical Systems under Uncertainty 📋

Adolphus Lye1, Caroline Morais2, Wasin Vechgama3 and Michael Beer4

1 National University of Singapore, Singapore

2 Agency for Petroleum, Natural Gas and Biofuels (ANP), Brazil

3 Thailand Institute of Nuclear Technology, Thailand

4 Leibniz University Hannover, Germany

SS-04: Advances in Time-Dependent Reliability of Complex Systems 📋

Meng-Ze Lyu1, Matthias Faes2, Marcos Valdebenito2, Jianbing Chen3, Michael Beer1 and Hongzhong Huang4

1 Leibniz Universität Hannover, Germany

2 Technische Universität Dortmund, Germany

3 Tongji University, China

4 University of Electronic Science & Technology of China, China

SS-05: Explainable Artificial Intelligence (XAI) and Causal Modeling for Reliability, Availability, Maintainability and Safety (RAMS) Applications 📋

Piero Baraldi1, Giovanni Floreale1, Jie Liu2 and Enrico Zio1,3

1 Polytechnic of Milan, Italy

2 Beihang University, China

3 MINES Paris-PSL, France

SS-06: Physics-Informed Machine Learning For Reliability, Availability, Maintainability and Safety (RAMS) 📋

Ibrahim Ahmed1, Piero Baraldi1, Olga Fink2, Chenyang Lai1 and Enrico Zio1,3

1 Polytechnic of Milan, Italy

2 EPFL, Switzerland

3 MINES Paris-PSL, France

SS-07: Transfer Learning Methods For Prognostics And Health Management (PHM) And Predictive Maintenance 📋

Ibrahim Ahmed1, Piero Baraldi1, Olga Fink2 and Enrico Zio1,3

1 Polytechnic of Milan, Italy

2 EPFL, Switzerland

3 MINES Paris-PSL, France

SS-08: Generative AI For Predictive Maintenance 📋

Piero Baraldi1, Yang Hu2 and Enrico Zio1,3

1 Polytechnic of Milan, Italy

2 Beihang University, China

3 MINES Paris-PSL, France

SS-09: Prescriptive Maintenance 📋

Piero Baraldi1, Christophe Berenguer2, Luca Pinciroli1 and Enrico Zio1,3

1 Polytechnic of Milan, Italy

2 Université Grenoble Alpes, CNRS, Grenoble INP, France

3 MINES Paris-PSL, France

SS-10: Development and Application of Methods for Enhancing the Reliability of Power Electronics Devices 📋

Piero Baraldi1, Chenyang Lai1 and Enrico Zio1,2

1 Polytechnic of Milan, Italy

2 MINES Paris-PSL, France

SS-11: Reinforcement Learning for Reliability, Availability, Maintainability and Safety (RAMS) 📋

Adam Abdin1, Piero Baraldi2, Michele Compare3, Luca Pinciroli2 and Enrico Zio2,4

1 CentraleSupélec, Université Paris-Saclay, France

2 Polytechnic of Milan

3 Aramix s.r.l., Italy

4 MINES Paris-PSL, France

SS-12: Natural Language Processing for Reliability, Availability, Maintainability and Safety (RAMS) Applications 📋

Piero Baraldi1, July Bias Macedo2, Marcio Jose Das Chagas Moura2, Dario Valcamonico1 and Enrico Zio1,3

1 Polytechnic of Milan, Italy

2 Universidade Federal de Pernambuco, Brazil

3 MINES Paris-PSL, France

SS-13: Climate Change and Extreme Weather Events: Impacts on Critical Infrastructure Risk and Resilience 📋

Francesco Di Maio1, Masoud Naseri1,2 and Enrico Zio1,3

1 Polytechnic of Milan, Italy

2 UiT The Arctic University of Norway, Norway

3 MINES Paris-PSL, France

SS-14: Artificial Intelligence, Meta-Modelling and Advanced Simulation for the Safety Analysis of Nuclear Systems 📋

Ibrahim Ahmed1, Francesco Di Maio1, Nicola Pedroni2 and Enrico Zio1,3

1 Polytechnic of Milan, Italy

2 Polytechnic of Turin, Italy

3 MINES Paris-PSL, France

SS-15: Reliability, Risk and Resilience of Cyber-Physical Systems 📋

Francesco Di Maio1, Yiping Fang2 and Enrico Zio1,3

1 Polytechnic of Milan, Italy

2 CentraleSupelec, University of Paris-Saclay, France

3 MINES Paris-PSL, France

SS-16: Bayesian Networks Modelling for Reliability and Risk Assessment 📋

Michael Beer1, Matteo Broggi1, Francesco Di Maio2 and Enrico Zio2,3

1 Leibniz University Hannover, Germany

2 Polytechnic of Milan, Italy

3 MINES Paris-PSL, France

SS-17: Resilience of Cyber-Physical Systems (CPSS) to Security Attacks 📋

Francesco Di Maio1, Wei Wang2, Greta Nasi3 and Enrico Zio1,4

1 Polytechnic of Milan, Italy

2 City University of Hong Kong, China

3 Bocconi University, Milano, Italy

4 MINES Paris-PSL, France

SS-18: Risk, Reliability and Safety of Autonomous Systems (IWASS) 📋

Joachim Grimstad1, Camila Correa Jullian2 and Paul Lee3

1 University of Stuttgart, Germany

2 University of California, Los Angeles, United States

3 Norwegian University of Science and Technology, Norway

SS-19: Safety Challenges and Emerging Risks of the Future Healthcare and Medtech Industry 📋

Roberto Filippini1 and Bernardo Innocenti2

1 Independent consultant, Italy;

2 Universitè Libre de Bruxelles, Belgium

SS-20: Advances in Strategic and Operational Risk Assessment for Maritime Traffic 📋

Jakub Montewka1, Floris Goerlandt2 , Mateusz Gil3, Zali Yang4, Yigit Atan5, Shiqi Fan6 and Yaging Shu7

1 Gdańsk University of Technology, Poland

2 Dalhousie University, Canada

3 Gdynia Maritime University, Poland

4 Liverpool John Moore University, United Kingdom

5 Ozyegin University, Turkey

6 Wuhan University of Technology, China

7 Ningbo University, China

SS-21: Case Studies on Predictive Reliability: An Industrial Perspective 📋

Marco Bonato1, Alexander Mueller2, François Masse1 , Sylvain Brialix1 and Veeraperual Kathirayan3

1 Valeo Power Division, France

2 Valeo Power Division Germany

3 Valeo India Private Limited, India

SS-22: Concepts, Methods and Models for NaTech Risk Analysis and Management 📋

Karine Adam1, Irene Korsakissok2, Jean-Marc Tacnet3 and Christophe Berenguer4

1 INERIS, France

2 ASNR, France

3 INRAE – IGE, France

4 GIPSA-lab, Université Grenoble Alpes, Grenoble INP, CNRS, France

SS-23: Structural Health Monitoring and Non-Destructive Testing for the Safety and Reliability of Civil Infrastructure 📋

Francesca Marsili1, Leandro Iannacone2, and Filippo Landi3

1 Helmut-Schmidt University / University of the Federal Armed Forces Hamburg, Germany

2 Lund University, Sweden

3 University of Pisa, Italy

SS-24: Human Factors for Collaborative Intelligence Applications in Safety Critical Domains 📋

Maria Chiara Leva1, Luca Gualtieri2, Carlo Caiazzo2, Ammar Abbas1, Hector Diego Estrada Lugo3, John D. Kelleher4, Micaela Demichela5, Anders Madsen6, Gabriele Gianini7, Philip Long8, and Marko Djapan9

1 Technological University Dublin, Ireland

2 University of Bolzano, Italy

3 UK Atomic Energy Authority, United Kingdom

4 ADAPT Centre – Trinity College Dublin, Ireland

5 Polytechnic of Turin, Italy

6 Aalborg University, Denmark

7 University of Milano Bicocca, Italy

8 Atlantic Technological University, Ireland

9 University of Kragujevac, Serbia

SS-25: Optimisation and Decision Frameworks for Resilient and Sustainable Infrastructure under Deep Uncertainty 📋

Gaurav Datta1 and Giuseppe Carlo Marano2

1 Independent Researcher, India

2 Polytechnic of Turin, Italy

SS-26: AI-Enhanced Structural Health Monitoring for Infrastructure Reliability from Sensing to Risk-Informed Decisions📋

Seyedmilad Komarizadehasl1 , José Matos2 and Behrad Emadi3

1 Polytechnic University of Catalonia, Spain

2 University of Minho, Portugal

3 University of Salerno, Italy

SS-27: Research outcomes from the 1st Young Researchers’ Bilateral Workshop Politecnico di Milano - Leibniz University Hannover📋

Giovanni Floreale1, Maria Valentina Clavijo Mesa1, and Andrea Perin2

1 Polytechnic of Milan, Italy

2 Leibniz University Hannover, Germany

SS-28: Surrogate-Assisted Optimization for Resilience: How ML and AI Tools can Enable Uncertainty-Aware Decisions Involving Complex Physical Models📋

Giovanni Sansavini1 and Enrico Ampellio1

1 ETH Zürich, Switzerland

SS-29: Risk Analysis and Safety in Machinery📋

Luca Landi1 and Roberto Gabbrielli2

1 University of Perugia, Italy

2 University of Pisa, Italy

SS-30: Risk and Reliability Analysis in Hydrogen Systems📋

Caio Souto Maior1 and Katrina Groth2

1 Universidade Federal de Pernambuco, Brazil

2 University of Maryland, United States of America

SS-31: Balancing Resources under Uncertainty – Weighing Safety, Security and Resilience Requirements📋

Kai-Dietrich Wolf1 and Daniel Lichte2

1 University of Wuppertal, Germany

2 German Aerospace Center – Institute for the Protection of Terrestrial Infrastructures, Germany

SS-32: Advancing Multi-Hazard Risk Frameworks through Life-Cycle Assessment for Sustainable and Resilient Built Environments📋

Shaghayegh Karimzadeh1, Omid Hassanshahi2, Daniel Caicedo Díaz1, Amirhossein Mohammadi1

1 University of Minho, Portugal

2 University of Coimbra, Portugal

SS-33: Advances in risk management of critical infrastructure systems📋

Andrea Carolina Chaparro Tarazona1, Mónica Santamaria-Ariza1, José Matos1, and Bryan T. Adey2

1 University of Minho, Portugal

2 ETH Zurich, Switzerland