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Technical Committee on Physical Modelling (TC104) of the International Society of Soil Mechanics and Geotechnical Engineering (ISSMGE)

New facilities, new equipment, and measuring techniques; Resilient Geotechnical Infrastructure; Sustainability in Geotechnical Systems; Energy geo-structures and foundation systems; Application of Machine Learning/Artificial Intelligence in Geotechnical Engineering

Génie civil, architecture et géotechnique,    Géophysique et géologie

Scientific-Technical Union of Mechanical Engineering

The study of the processes in different real systems is limited to their modelling, i.e. their approximate description by creating models of these systems and processes. Systems and processes models are divided into two classes - physical and mathematical. In recent decades, it has become clear that the notion of mathematical modelling refers equally to systems of another nature - social, economic, and others. In other words, the behavior of different systems can be effectively explored using their mathematical models. It is only necessary to properly choose the appropriate mathematical apparatus. On the other hand, the range of mathematical models is extremely wide - from algebra and logic to functional analysis. This means that the regular direct contacts between engineer researchers and specialists from different fields of mathematics are very important for the advancement of science and technology. For professional mathematicians, these contacts will enable them to better target the needs of representatives of other areas of knowledge. And the more contacts there are the better. One of the most interesting problems of modern science is the development of methods and models for research and optimization of different systems. Thus knowledge is presented in a form that can be used. More and more mathematics is becoming the language of innovation and intelligent technologies and the modern industrial society.

Scientific-Technical Union of Mechanical Engineering;     Tél.: [(+359 2) 987 72 90];     Email.: office@mathmodel.eu

Basic principles of mathematical modelling, Analogy principle, Model hierarchy, Methodology of mathematical modelling, System analysis, Mathematical modelling in fundamental and applied physics, mechanics, chemistry and biology, Technological processes as objects of automation, Mathematical methods of management, Modelling of smart production technologies and systems, Virtual technologies and simulations, Information and computer technologies, Robotics, Artificial intellect, Radio electronics, Statistical and stochastic models, Neural networks, Situation modelling,

Logique mathématique et fondements,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

Institute for Computational and Experimental Research in Mathematics (ICERM)

This workshop showcases emerging frontiers in ROM (reduced order modeling) by bringing together researchers whose core interests lie in model reduction and approximation theory, but who have also explored and developed novel methods that utilize various aspects of statistical learning and data science. Topics of the workshop will include: 1) new mathematical and computational nonlinear ROM formulations required for prediction of transport phenomena, 2) new model reduction and meta-learning opportunities necessitated by the prevalence of large neural network models, 3) new paradigms for ROM capable of attacking parameter inference and ill-posed inverse problems, 4) new frontiers in the automated learning of latent representations due to the availability of computationally feasible optimization in statistical and machine learning, 5) an appropriate computational balancing of observational or experimental data with simulation-based models and ROM that would lead to the usage of ROM in digital twin-scale applications, and 6) challenges and new developments in ROM that aims to preserve inherent physical structure of the underlying dynamics.

ICERM;     Email.: info@icerm.brown.edu

reduced order modeling, acceleration, simulation, approximation theory

ULCO

The M2A25 conference, hosted by the LAMAI laboratory in the Faculty of Sciences and Technologies, Marrakesh, is organized within the framework of an APRD project funded by OCP Foundation and supported by CNRST, the Moroccan Ministry of Higher Education, Scientific Research and Innovation, the University Mohammed VI Polytechnic and the Cadi Ayyad University.

The M2A25 conference is an international conference in which more than 20 countries are expected to be represented by more than 100 participants, consisting of academic researchers and scientists working in industry. The conference will cover different areas related to the application of numerical analysis to practical problems in engineering, industry, environment, medical imaging, and new image and information technologies. Participants will share their recent contributions and their experience in these fields.

Email.: jbilou@univ-littoral.fr

Lahcen Maniar Marilena Mitrouli Ahmed Ratnani Lothar Reichel Carole Rosier Youcef Saad Hassane Sadok Hassan Safouhi Daniel Szyld

Mathématiques numériques,    Mathématiques appliquées (en général)

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

In this Dagstuhl Seminar, we are gathering several researchers from different communities (approximation algorithms, algorithmic game theory, operations research, online algorithms, learning theory) that have been interested in this or related questions from different angles. The goal is developing new techniques, identifying new models and directions, and solving some of the many open problems related to the above question.

Statistique, Théorie des jeux,    Mathématiques appliquées (en général)

Association Tunisienne de Technologie et du Développement Durable (ATTeDD)

ICCAD’25 will be held in May 7-9, 2025 in Istanbul, Turkey. Our conference is a forum for presenting excellent results and new challenges facing the field of the reliability and availability of Control, Automation and Diagnosis. It brings together experts from industry, governments and academia, experienced in engineering, design and research. This conference will provide a remarkable opportunity for the academic and industrial communities to address new challenges, share solutions and discuss future research directions. The technical program will include plenary lectures, regular technical sessions, and special sessions.

Secrétariat de ICCAD;     Tél.: [+216 28 402 104];     Email.: contact@iccad-conf.com

Control, Automation, Diagnosis, AI, Robotics, Informatics, Comuter vision, Renewable energy, green transportation;

Systèmes, contrôle et automatisation,    L'Internet des objets (IoT) et réseau de capteurs

International Association of Computer Science and Information Technology

We are pleased to invite you to attend the 17th International Conference on Computer Modeling and Simulation (ICCMS 2025), which will be held in Zhuhai, China during June 10-12, 2025. ICCMS 2025 is co-organized by Intelligent IoT System Modeling and Simulation Committee of China Simulation Federation, China and Beihang University, China, co-hosted by Jinan University (Zhuhai Campus), China and The Hong Kong Polytechnic University, Hong Kong, China.

Email.: aimee@iacsit.net

Agent Based Simulation; Analytical and Stochastic Modeling Techniques and Applications; Biomedical Visualization and Applications; Emerging Technologies and Applications; Finite and Boundary Element Techniques; High Performance Computing & Simulation; Information and Scientific Visualization; Interaction Paradigms and Human Factors; Internet, Web and Security Visualization;

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Ghent Analysis & PDE Center, Ghent University

The purpose of the conference is to provide an international forum to present and discuss the latest developments in computational and applied mathematics in various emerging engineering and mathematical fields.

Email.: acomen2025@ugent.be

Applied and computational mathematics, Computational solid mechanics, Computational fluid mechanics, Computational material science, Computational electromagnetism, Computational natural sciences and biomechanics, Data driven and Artificial Intelligence applied to modelling, Fluid-structure interactions and coupled problems, High performance scientific computing, Inverse problems, Machine learning, New and emerging discretisation methods, Numerical analysis, Optimisation methods, Partial Differential Equations, Software for scientific computations, Simulation of manufacturing processes, Uncertainty quantification and stochastic modelling

Mathématiques appliquées (en général),    Mathématiques numériques