NEMESIS – NEw generation MEthods for numerical SImulationS – is an ERC Synergy Grant project (Project No. 101115663) funded in the 2023 Synergy call for
Read more
Category: Featured
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
Read more
MOX. Decoding Brain Function through Mathematical Modeling, Scientific Computing & Computational Learning (BrainNum)
BraiNum is a research project carried out at the MOX Laboratory (Department of Mathematics, Politecnico di Milano) devoted to the mathematical modeling and numerical simulation
Read more
MOX. Digital twin for rock fall and flow in response to a climate change scenario (TWINFALL)
TWINFALL “Digital TWIN for rock FALL and flow in response to a climate change scenario” is a project carried out in collaboration between the Department
Read more
MOX. ICOSAHOM 2027 at Politecnico di Milano (Italy) from 5–9 July 2027
We are proud to announce that ICOSAHOM 2027 – the 16th International Conference on Spectral and High-Order Methods will be held at Politecnico di Milano
Read more
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
Read more
Wrocław. Finding structural changes in non-Gaussian cyclo-stationary signals
Our current research with the Weave-Unisono project concentrates on the new pre-processing algorithms for non-Gaussian cyclostationary models segmentation. In many real-world systems, data exhibit both
Read moreWrocław. 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
Read more
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
Read more
Milano. Exploring the (seemingly) Silent Brain
Understanding how the human cerebral cortex processes information and integrates activity across distributed regions is a central goal of modern neuroscience. The cortex is organized
Read more