We are still in the process of finalizing the program of the conference, so the following listing of thematic sessions should be considered provisional and non exhaustive.
Chair: Pawan Sharma
This session explores the critical role of mathematical modelling and simulation in the design, analysis, and optimization of electrical energy systems. With the global shift toward sustainable and intelligent energy infrastructure, integrating advanced modelling techniques and simulation tools has become essential. This session will also highlight real-world case studies that demonstrate the practical application of these methods in diverse energy contexts.
Chairs: Cordian Riener and Rodolfo Rios-Zertuche
This session will focus on the interactions of geometry and optimization. Motivated by the recent development of algorithms for control and inverse problems that leverage convexity and symmetries, we want to bring together researchers with varied backgrounds that will bring perspective to the latest advances and current challenges in these fields.
Chair: Hassan Abbas Khawaja
This session focuses on the critical role of mathematical modelling in bridging theoretical advancements with practical challenges in industry. Modern industrial applications increasingly rely on advanced mathematical frameworks to design efficient processes, optimize energy usage, predict system behavior, and enhance safety and sustainability.
The session will bring together researchers and practitioners to explore how modelling tools ranging from analytical approaches to discretized numerical modelling and simulation techniques are applied across diverse industrial sectors. Topics include, but are not limited to:
Chair: Lars-Erik Persson and Natasha Samko
This session focuses on various aspects of mathematics and mathematical modelling, especially analysis, Fourier analysis, functional analysis, inequalities, interpolation theory, convexity theory, and various applications. Young researchers, PhD students, and researchers in early careers in mathematics are especially welcome to give their own talks and listen to more experienced researchers in these subjects.
Chair: Tatiana Kravetc
Next-generation computing systems drive innovation in the design, programming, and deployment of intelligent, efficient, and sustainable technologies. This session focuses on advances in algorithms, software architectures, and intelligent applications that address real-world challenges across computing and engineering domains.
We aim to highlight novel trends in system design and application, particularly focusing on:
Key topics:
Chair: Vanni Nicoletti
The rapid growth of urban populations and the aging of critical infrastructure demand reliable, efficient, and intelligent Structural Health Monitoring (SHM) systems. This special session explores recent advances, emerging technologies, and multidisciplinary approaches for the monitoring and assessment of civil engineering structures such as bridges, buildings, tunnels, dams, and transportation networks. Topics include state-of-the-art sensing technologies, data acquisition systems, signal processing techniques, machine learning algorithms, and digital twin frameworks for real-time monitoring, damage detection, and predictive maintenance. Emphasis is placed on challenges related to harsh environments, long-term data interpretation, and integration with asset management platforms, with the broader goal of enhancing sustainability, resilience, and lifecycle performance.
A dedicated focus is also given to the role of Finite Element Modelling (FEM), a powerful computational tool that allows the simulation of structural behaviour under various loads, environmental conditions, and damage scenarios. The session covers both general-purpose software (e.g., ABAQUS, ANSYS, MSC Nastran) and specialized structural platforms (e.g., SAP2000, ETABS, MIDAS Civil), highlighting their applications in linear, nonlinear, and dynamic analyses, as well as in the customization of material models.
Finally, the session will showcase the synergistic integration of FEM and SHM. Linking real-time monitoring data with predictive models enables early detection of anomalies, more effective maintenance planning, and improved condition assessment accuracy. This combined approach not only advances research and practice but also strengthens the safety, functionality, and longevity of critical infrastructure worldwide.