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Sreymean Ngok, at the Department of Science and Technology (ITN), defends the thesis entitled: "Synthesis and Characterization of Nanocomposites-based Materials for Electrochemical Sensing Applications". Opponent: Associate prof. Krzysztof Zaraska,...

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.

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

Lisa Lundström always dreamed of being an engineer. Today, she owns and leads a heating technology company with customers all over the world. The Alumna of the Year is committed to inspiring more young people to dare dream of a career in engineering.

We develop modular solutions with low power consumption for wireless sensor networks, wireless data transmission with focus on high data rate / low cost, and antenna and radio frequency design for broadband and multi-band communication systems.

With the aid of the Internet of Things technology it is possible to measure, regulate and even send alerts for monitoring of carbon dioxide levels, particulates, temperature, humidity, levels of volatile organic compounds, vibrations in a bridge...

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.

At our division we conduct research and research education in communication electronics, mathematics, engineering didactics, physical electronics and nanotechnology, as well as education in physics, electronics, systems engineering and mathematics.

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.