PRELIMINARY PROGRAM

- September 23, 2025 | Registration of participants - Welcome event
- September 24, 2025 | Registration of participants - Keynote lectures - Technical Sessions - Gala dinner
- September 25, 2025 | Registration of participants  - Keynote lectures - Technical Sessions - Social event

KEY CONFERENCE TOPICS & THEMATIC UNITS
The International Probabilistic Workshop (IPW) series is a platform where experts and practitioners come together to explore the role of uncertainty in engineering problems. At its core, the workshop delves into the application of probability methods to tackle real-world challenges in design, assessment, and system management. From evaluating structural reliability and safety to developing risk management strategies, the IPW emphasizes the importance of rationally integrating uncertainty into engineering. 

Through engaging discussions and presentations, participants address research topics like structural safety and reliability, uncertainty modelling and quantification, prediction and preparedness for climate threats and extreme events, robustness and resilience of buildings and infrastructure, design, construction and maintenance decision making, risk management and insurability, digital tools in risk identification, assessment and mitigation, artificial Intelligence for simulation, analytics and decision support. Case studies and interdisciplinary collaborations will further enrich the program, showcasing how these methods are applied across civil, mechanical, and environmental domains for enhanced management and more sustainable practices.

In addition to its general themes, the IPW 2026 will focus on key topics structured around the following axes, aiming to foster contrasts that promote scientific dialogue and collaboration:
    • Probabilistic risk assessment in infrastructure planning
    • Resilience-based design of critical infrastructure
    • Uncertainty quantification in structural health monitoring
    • Machine learning applications in probabilistic structural analysis
    • Climate change impacts on infrastructure reliability
    • Multi-hazard probabilistic assessment for complex systems

KEYNOTE LECTURES

Prof. Paolo Gardoni
Title: to be announced

Short bio: Prof. Paolo Gardoni holds the Alfredo H. Ang Family Endowed Chair at the University of Illinois Urbana-Champaign. He's a professor in multiple departments, including Civil and Environmental Engineering, Industrial and Enterprise Systems Engineering, and Biomedical and Translational Sciences. Gardoni has several international courtesy appointments at prestigious institutions worldwide. As Director of the MAE Center, he focuses on multi-hazard engineering approaches. He has served as Editor-in-Chief for two international journals and currently sits on editorial boards of 12 journals. Gardoni is involved in numerous national and international committees focused on risk, reliability, and resilience analysis. His impressive publication record includes 11 books, over 270 refereed journal papers, and 29 book chapters. He has delivered more than 90 invited lectures and secured over $58 million in research funding. His work spans areas such as reliability analysis, sustainable infrastructure, decision-making under uncertainty, and natural hazard mitigation. In 2021, Gardoni received the prestigious Alfredo Ang Award from the American Society of Civil Engineers for his contributions to risk analysis and management. He has mentored 29 PhD students and 35 Master's students, with many now holding faculty positions globally.

Prof. Bruno Sudret
Title: to be announced

Short bio: Bruno Sudret is a professor of Risk, Safety and Uncertainty Quantification at ETH Zurich since 2012. His expertise lies in computational methods for uncertainty quantification, reliability and sensitivity analysis, Bayesian approaches, and reliability-based design optimization. Sudret's educational background includes a master's from Ecole Polytechnique (France, 1993), and a master's and Ph.D. in civil engineering from Ecole Nationale des Ponts et Chaussées (France, 1996 and 1999). His professional journey in probabilistic engineering mechanics and uncertainty quantification began in 2000 as a post-doctoral fellow at UC Berkeley. He then worked at EDF R&D (2001-2008), heading a group specialized in probabilistic engineering mechanics. From 2008 to 2011, he served as Director of Research and Strategy at Phimeca Engineering in France. Sudret has authored over 350 publications in journals and conference proceedings. He serves on the editorial boards of several prestigious journals in his field. He is committed to disseminating uncertainty quantification techniques through the development of UQLab software and the UQWorld community platform. His work significantly contributes to advancing the field of uncertainty quantification in engineering systems, combining academic research with practical applications.

TBU