After 13 years, Mid Sweden University’s Transformative Technologies research environment is coming to an end. Funded by the Knowledge Foundation, the initiative has strengthened research, international collaboration and partnerships with industry, benefiting both the university and the region.
Can AI help doctors detect diseases earlier and make safer decisions? In a new Swedish-Norwegian research project, data from multiple medical sensors will be combined to provide a clearer picture of a patient’s health. The aim is to develop the next generation of heart and brain monitoring.
How can hydropower and batteries work together to make the electricity system more stable and better equipped for the future? This is what researchers are investigating in Elektrovation – a project where research and real needs in the energy industry meet.
Hosea Imbo Agure is a new PhD student within the IRS TransTech Research School. His research combines signal processing, mathematical optimization and machine learning to develop more efficient and reliable methods for computational imaging.
Yi-Hsin Li has been awarded the Bureanska Foundation Scientific Award 2026 for her research on efficient and scalable representations for image-based data. The award of 20 000 SEK will be presented at Mid Sweden University’s Academic Ceremony this autumn.
Rayen Selmi is a PhD-student at Mid Sweden University and part of the IRS TransTech initiative. His research focuses on developing efficient and compact power converters for future energy systems, in collaboration with ENIT in Tunisia and Powerbox AB.
The first cohort of students in Mid Sweden University’s Visual AI initiative has now completed their Master’s theses. Six of the eight students have already secured jobs, several of them at companies they collaborated with during their studies.
Research connected to the ResilientEdge project was presented at IEEE MetroInd4.0&IoT in Rome. Three researchers with connections to Mid Sweden University contributed work on post-quantum cryptography, energy-efficient AI, and IoT data analysis.
In August, Ye Xu from STC Research Centre at Mid Sweden University visited Professor Xiaoyi Li’s research group at Qingdao, China to explore energy harvesting for coastal smart cities.
Municipalities are asking for better knowledge about how people use public spaces. Through AI and thermal cameras, a solution is now being developed that can count people and analyse movement patterns directly in the sensor – without the image data having to leave the site.
How can new technology be used to detect and measure methane emissions in practice? This was the focus when researchers and project partners in the MEQAL project gathered in Sundsvall for two days of company visits and research exchange.
Within the framework of the DigiLab project, Mid Sweden University is investing in new computing power for AI. A new GPU cluster will give researchers better opportunities to carry out advanced calculations and at the same time give students access to new opportunities to work with AI.
A meeting at an international conference in France led to a new research collaboration. This summer, Dr. Meng Jiang travelled to Shanghai for a research exchange at East China Normal University, on binaural microphone technology.
Research within the ENSURE 6G project is helping shed light on how weather conditions influence train punctuality. In his doctoral work, Vinicius Pozzobon Borin from Oulu University combines railway data and meteorological observations to develop AI models capable of predicting delays.
How can future communication technologies create value for industry and society? That is one of the key questions in the Vinnova-funded 6G-BRIDGE project, which recently welcomed Professor Song Han from the University of Connecticut for a three-week research visit.
Mid Sweden University researcher Irida Shallari has been awarded the Royal Skytteanska Society's 2026 Prize for Outstanding Young Researchers in Natural Sciences and Engineering for her research on energy-efficient artificial intelligence with applications in railway infrastructure and industry.
How can AI be used to understand different operating conditions in industrial systems? Through his degree project at Mid Sweden University, Italian student Marco Greco is working with real industry data from Bosch to develop energy-efficient AI solutions for the industry of the future.
How can AI be used to detect errors in industrial processes? Through his degree project at Valmet, student Ali Gharieb gets to work close to real industrial needs – in a collaboration where research and product development meet.
On June 9, Eiraj Saqib successfully presented and defended his doctoral thesis "Bottleneck-Aware Optimization of Distributed CNN Inference for Edge-Cloud IoT Systems" and can now call himself a PhD in Electronics.
With a background in embedded systems and industrial IoT, Thomas Bénéteau wants to contribute to robust AI models for industry. At Mid Sweden University, he is now researching how AI can strengthen railway infrastructure and improve operational reliability.
The page was updated 6/25/2026
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Sensible Things that Communicate, STC