For four inspiring days, the mathematical community focused on port-Hamiltonian systems came together for a vibrant exchange of ideas. From September 7–10, 2026, around 60
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Category: Successful projects
Fostering International Collaboration in Mathematical Finance: The 2nd Joint Bratislava-Wuppertal MACFIRE Workshop
The bilateral research project MACFIRE (Mathematical Analysis and Computational Finance: Innovation, Research, Exchange) is a collaborative initiative uniting the University of Wuppertal (Germany) and Comenius
Read moreTrondheim. Patterns from instability: How 1D soliton breaks dimensions to find 2D surfaces
By Wei Lian NTNU Norwegian University of Science and Technology In engineering, “instability” is often viewed as a failure—a bridge buckling in the wind or
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Trondheim. DidactiQC — Teaching Quantum Computing in Norway
By Kurusch Ebrahimi Fard, Yael Fleischmann, and Alexander Schmeding NTNU Norwegian University of Science and Technology Why the Mathematics of Quantum Computing Matters Quantum computing
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Trondheim. Geometry and Numerical Analysis of Control Systems
by Jacob Goodman NTNU Norwegian University of Science and Technology Modern engineering systems are expected to operate in environments that are complex, uncertain, and full
Read moreProject Spotlight: Nearing the Finish Line for PRISEMA – German-Portuguese Research in Carbon Markets 🇩🇪🇵🇹
The DAAD-funded bilateral German-Portuguese project, “Pricing of Financial Instruments in Emission Markets” (PRISEMA), is fast approaching its conclusion in April 2026, marking the successful culmination
Read moreWuppertal. Four new bilateral DAAD Projects in Computational Finance
The German Academic Exchange Service (DAAD) supports four 2-year projects by Thomas Kruse, Long Teng and Matthias Ehrhardt (Chair of Applied and Computational Mathematics, Wuppertal)
Read moreWuppertal. Hessian-free force-gradient integrators for latticeQCD simulations
Kevin Schäfers is a PhD student at the University of Wuppertal, in the Institute for Modelling, Analysis and Computational Mathematics (IMACM). In a long-standing collaboration
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Trondheim. Maritime Autonomous Sampling and Control
The vast oceans will always be under-sampled, but with the availability of satellite data and physics-based numerical ocean models one can gain nuanced insight about a variety of ocean variables.
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Trondheim. Geophysical data inversion in a probabilistic setting
Geophisical data inversion is crucial for understanding properties of the subsurface.
The vision in this projects has been to
– provide creative mathematically based solutions to recognized challenges in reservoir evaluation,
– develop methodologies for analysis of spatial and spatio-temporal phenomena.
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