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Research in Mathematics at ITN

Mathematical research is conducted in several areas such as inverse problems with applications in machine learning, medicine, and image processing. As well as computational science, harmonic analysis, integrable systems, and potential theory.

One group is working on inverse problems with applications in image processing, mathematical biology, mathematical machine learning, and telecommunications. Funding has been obtained for projects conducted in collaboration with researchers in areas such as visualization and medicine. Modeling and simulating tumor growth both forward and backward in time is one of the current projects.

Furthermore, ongoing research is being conducted in computational science, integrable systems, harmonic analysis, and potential theory. Publications in these areas are presented in international journals, and several members attend conferences annually to present results. Doctoral students are also supervised.

Research projects

Scans of the human brain

Mathematical Oncology

Mathematical Oncology is an interdisciplinary collaboration to develop direct and inverse mathematical models for brain cancer growth, making use of AI for applications in healthcare.
Gaphics showing a human brain with a red highlighted sport

Mathematics for Machine Learning

Mathematics for Machine Learning (MML) is an interdisciplinary group, developing state-of-the-art methods for parameter identification in neural differential equations with applications in science-informed neural networks and inverse problems.

Researchers

Main contact

Photo of George Baravdish

George Baravdish

Senior Associate Professor, Head of Unit

Organisation

Closeup of a pipette dripping a clear fluid on to a microscope

Physics, Electronics and Mathematics

We conduct research and research education in communication electronics, mathematics, engineering didactics, physical electronics and nanotechnology.
Kiselcihp

Department of Science and Technology (ITN)

We research and teach in several technical and scientific disciplines in which our main areas are organic electronics, media, communications and logistics.

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