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Zhongjun Ni, at the Department of Science and Technology, defends the thesis “Data-Driven Smart Maintenance of Historic Buildings”. Opponent is: Professor Ulf Bodin, Luleå tekniska universitet. Supervisor is: Professor Shaofang Gong, LiU. The event...

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.

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

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.

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...

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.

A good radio technology that can handle the Internet speed has an extremely large potential in the future. For more than ten years, we have been doing research on the six-port radio technology for high speed wireless data transmissions.

This research aims to improve the traditional frequency synthesizer architecture, using advanced calibration routines, improved modeling and noise suppression techniques such as sub-sampling.

We use our developed wireless sensor network to monitor and control green walls with different kinds of plants in one of our laboratories, to measure, e.g. CO2 and particular levels.