As part of the CEACM International Conference on Synergy between Multiphysics/Multiscale Modeling and Machine Learning (S4ML 2024), we are excited to announce a specialized short course designed to provide graduate students and researchers with an in-depth exploration of the latest developments in the intersection of multiphysics, multiscale modeling, and machine learning. This short course will be a unique opportunity to delve into numerical models for multi-physics/multi-scale problems and their modern applications, including model reduction, probability aspects, and uncertainty quantification.

Course Details:

Date: June 19 – 20, 2024 (As part of CEACM S4ML 2024)
Location: CTU, Prague, Czech Republic
Registration: Details on registration will be provided soon on the CEACM website.

Course Objectives:

The main objectives of this short course are as follows:

Review of Numerical Models: Provide participants with a comprehensive review of numerical models for multi-physics and multi-scale problems, equipping them with a solid foundation in this critical aspect of computational mechanics.

Machine Learning Advancements: Explore the latest developments in machine learning, with a focus on its application to model reduction, managing probability aspects, and quantifying uncertainty in complex systems.

State-of-the-Art Techniques: Present the current state-of-the-art in finite element, finite volume, and discrete element modeling of nonlinear problems, with a particular emphasis on their applications in various engineering and material science domains.

Problem-Solving: Illustrate common challenges encountered in these fields and discuss effective solutions, drawing from real-world applications in aerospace, civil and mechanical engineering, and material science.

Diverse Specializations: Cover all domains of Engineering Sciences, offering specialty courses coordinated by renowned experts in their respective fields.

Day 1

Instructors: Adnan Ibrahimbegovic, Hermann Matthies
Module 1: Introduction to Multi-physics/Multi-scale and Machine Learning

Day 2

Option 1: Bio-Engineering, Bio-Fluids and Cancer
Instructors: Nenad Filipovic, Badr Kaoui, Florian DeVuyst
Module 2: Bio-Engineering and Bio-Fluids

Option 2: Identification
Instructors: Anna Kucerova, Noemi Friedman, H. Matthies
Module 3: Identification Techniques

Option 3: Computer Software
Instructors: Joze Korelc, Bořek Patzák, A. Ibrahimbegovic
Module 4: Computer Software and Computational Tools

Option 4: Multibody Dynamics
Instructors: Pavel Polach, Michal Hajžman, Zbyněk Šika
Module 5: Multibody Dynamics

Option 5: Materials
Instructors: Jan Zeman, Martin Doškář
Module 6: Materials Modeling

Join Us in Prague:

Don’t miss out on this invaluable learning opportunity! Keep an eye on our website for registration details, course schedules, and further information. This course is your gateway to exploring cutting-edge research and advancements in computational mechanics, and it promises to be a transformative experience for your academic and research journey.

At CEACM S4ML 2024 Short Course, we’re excited to welcome students who are eager to embrace the future of engineering and computational sciences. Join us, expand your horizons, and make lasting connections with experts in the field.

More detailed information about the course can be found here.

We look forward to having you with us in Prague!