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.

Applied Artificial Intelligence and Machine Learning Methods in Image Processing

Chair: Kalyan Ram Ayyalasomayajula  

The session explores applications of mathematical and statistical models applied in the areas of image processing, vision, and imaging. There has been a paradigm shift in modern image processing techniques in favor of end-to-end learning that are amenable to large compute facilities and designed specifically for graphic processing units to allowing scaling. The objective behind the session is to provide an overview of modern AI/ML methods, applications and challenges in the areas of biomedical/biological imaging, document analysis, extended reality, etc. to name a few. Presentations will range from Some use cases from in real world applications to analysis of limitations, along with exciting opportunities in interdisciplinary research.

Electrical Energy Systems: Mathematical Modelling, Simulation, and Case Studies

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. 

Experimental practices for long-lasting structures

Chair: Iveta Nováková and Sofija Kekez-Baran

The building industry is changing, and sustainability brings new solutions that should be closely followed to gain their maximum performance. Sustainability can be achieved using secondary raw materials or extending the life of existing buildings. Therefore, terms such as “structural health monitoring”, "continuous monitoring of buildings", “non-destructive testing”, or "long-term monitoring test facilities" are becoming indispensable to achieve long-lasting structures by combined action of different techniques such as construction site monitoring through BIM, eco-friendly durable building materials, self-sensing building materials, digital twins, and AI curated data acquisition for continuous quality assurance.

This session will bring together distinguished members of academia and industry to exchange ideas and share observations, research results, and experiences, all with the aim of moving towards a more sustainable and holistic approach for construction, maintenance, and monitoring of both buildings and materials.

Topics include, but are not limited to:

  1. Quality control evolution in the building industry
  2. Long-term monitoring stations for sustainable and durable building materials
  3. Innovative materials with sensing properties
  4. Methods of non-destructive testing for digital twin validation
  5. Continuous monitoring of buildings

Geometry and Optimization

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.

Industrial Applications and Mathematical Modelling

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:  

  • Development and validation of mathematical models for complex engineering systems 
  • Integration of numerical modelling with experimental techniques 
  • Industrial case studies demonstrating problem-solving through mathematical modelling 
  • Applications in energy, manufacturing, materials, cold-climate technologies, and process optimization 

Mathematics and Mathematical Modelling

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. 

Next-Gen Computing: Intelligent Systems and Sustainable Software Engineering 

Chair: Tatiana Kravetc and Shveta Mahajan

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: 

  • Smart and adaptive technologies in extreme or sensitive environments. 
  • Intelligent systems and sustainable methodologies for real-world problem solving. 
  • Presentations in this session will reflect a balance of theoretical contributions, applied research, and case studies: providing insights into both innovation and impact. 

Key topics: 

  • Algorithmic innovation for optimization, prediction, and intelligent decision-making.
  • Software engineering for adaptive and sustainable systems.
  • IoT systems for data-driven monitoring and control.

Statistics and Statistical Modeling

Chair: Huong Thu Nguyen

This session focuses on the theory and application of time series analysis, within statistics and statistical modelling, highlighting the dynamic interplay between theoretical developments and real-world applications. Interdisciplinary contributions from engineering, the natural sciences, health research, and other applied fields are warmly welcomed. We particularly encourage young researchers, PhD students, and early-career scientists to present their work, exchange ideas, and engage with more experienced researchers. The session provides a platform for discussing modern strategies for modelling time-dependent phenomena, including:

  • Methodological Advances: State-space models, functional time series, and Bayesian forecasting.
  • Computational Approaches: Machine learning for temporal data, change-point detection, and scalable algorithms for big data.
  • Interdisciplinary Impact: Applications in econometrics, climate science, signal processing, and longitudinal health studies.

Structural Health Monitoring of Civil Engineering Structures and Infrastructures 

Chair: Vanni Nicoletti and Krishna Kant Pathak

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. 

Technologies for Sustainable Urbanization in the Arctic

Chair: Mohamad Mustafa and Raj Calay

The session will focus on energy conservation and environmental protection technologies. We invite original, unpublished papers for oral and poster presentations in the technology track. The session aims to employ the latest mathematical modelling and numerical techniques to analyse engineering problems and design sustainable development solutions. Topics include energy monitoring for green buildings, digital transformation, smart city infrastructure, data-driven decision-making, and implementing circular economy principles for resilient communities. Papers on waste and wastewater management, and hydrogen technologies, guided by ongoing department projects, will be appreciated.