Progress in Industrial Mathematics at ECMI 2023 published

We are pleased to inform that on August 3, 2026 Springer has published the proceedings of the 22nd ECMI Conference on Industrial and Applied Mathematics

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Gothenburg. Digital Twin Simulation of City Flooding

This student project investigates numerical simulation of wave propagation in simplified urban environments using the shallow water equations. The work focuses on developing a Runge-Kutta

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ecmi 2026

Kaunas. Science, Networking and Lithuanian Traditions

The second day of ECMI 2026 has begun, bringing participants back together for another day of scientific discussions and collaboration in Kaunas. Yesterday’s programme concluded

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ecmi 2026

Kaunas. ECMI 2026 Officially Begins!

Today, we officially opened the ECMI 2026 Conference at Kaunas University of Technology (KTU). We are delighted to welcome participants from all over the world

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MOX. Mathematics for sustainable vertical farming: designing next-generation growing systems

SUSTAIN (SUbstrate and Systems of Trays for Agricultural INnovation) is a five-year project funded under the Italian Applied Sciences Fund (FISA 2024) programme of the

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The International Conference on Highly Flexible Slender Structures (HFSS) 2025.

Kaiserslautern. Call for Contributions for »Journal of Mathematics in Industry«: Topical Collection on Highly Flexible Slender Structures

We would like to draw your attention to the ongoing call for papers for a topical collection in the special issue of »Journal of Mathematics in Industry« (Springer Nature).

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Wrocław. Modelling lymphodynamics

The lymphatic system plays a crucial role in the human body. It is widely know for its immune function, including production of lymphocytes and filtering

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Wrocław. New Project Launch: Advancing Fault Detection via Cyclostationary Modelling (WEAVE-UNISONO)

Faculty of Pure and Applied Mathematics, Wrocław University of Science and Technology is pleased to highlight a significant new collaborative research initiative: “Advanced signal processing

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Wrocław. Predicting catastrophe bond coupons: machine learning models with climate-based features

In recent years, natural disasters have been occurring more frequently and with greater intensity, causing economic losses and increasing financial risks. This has encouraged financial

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