STC Research Centre

10/08/2026

How can AI help us better understand and predict train delays?🚆
As part of the ENSURE 6G project, PhD-student Vinicius Pozzobon Borin from the University of Oulu, has developed an AI model that combines eight years of Finnish railway data with meteorological observations.

The dataset includes train schedules and actual delays, together with weather parameters such as wind speed and direction, humidity, air pressure, snow depth and visibility.

- In my work I have developed an AI-model to predict train delays based on weather data and open data from railway transportation, says Vinicius.

The model achieved a prediction accuracy of 77 % and could potentially be further improved by combining additional data sources and parameters.

- On of the challenges was that Finnish trains are often on time, and I didn’t have enough delayed data to use for the AI training, Vinicius explains.

In the future, this type of AI-based prediction could contribute to smarter railway maintenance by helping identify and prioritize infrastructure repairs based on the predicted risk of disruptions.

Read the full story about Vinicius’ research in the link in the comments. 👇

This work is part of the ENSURE 6G project, a collaboration between Mittuniversitetet and University of Oulu and funded with support from Interreg Aurora.

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30/06/2026

Nu är programmet släppt till årets höjdpunkt - Good Tech Conference! Och självklart finns STC Research Centre med i programmet och delar nya erfarenheter från forskningsprojekt. Säkra din plats till konferensen redan nu!

23/06/2026

Mid Sweden University researcher Irida Shallari has been awarded the Kungliga Skytteanska Samfundet 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.

According to the award citation, Shallari has demonstrated a strong and consistent scientific development since completing her PhD, with extensive international publications, success in securing competitive European research funding, and leading roles in several research projects. Her work combines scientific excellence with practical applications in areas such as railway infrastructure and industrial production. Through research leadership and international collaboration, she has also helped strengthen the research environment at Mittuniversitetet.

- This award is a wonderful recognition of the work that our team has built together over many years. I also see it as a testament to the growing importance of energy-efficient AI in addressing future societal challenges and developing solutions that make a real difference, says Irida Shallari.

We'd like to extend our warmest congratulations to you, Irida! 🎉
Read the full interview in the comments.

18/06/2026

Real industrial data, AI, and industry collaboration.

Marco Greco from Italy is carrying out his master's thesis at Mid Sweden University, developing AI and machine learning models using data from Bosch to identify operating conditions in embedded systems.

- I am very grateful for this opportunity and look forward to working directly with applied industrial datasets from a real Bosch engine, says Marco Greco.

The project is conducted within NIIT (Next Generation Industrial IoT), where academia and industry work together to develop future industrial IoT solutions. A great example of how collaboration creates opportunities for both students and innovation.

📌 Link to the full interview in the comments!

16/06/2026

I sitt examensarbete på Valmet utvecklar civilingenjörsstudenten Ali Gharieb en AI-modell som kan upptäcka och klassificera sensorfel i industriella processer – en viktig pusselbit för mer tillförlitliga digitala tvillingar och framtidens intelligenta industrisystem.

Examensarbetet genomförs inom ramen för forskningsprogrammet NIIT – Nästa generations Industriella IoT, där Mittuniversitetet och industripartners samverkar för att utveckla AI-baserade metoder och nästa generations industriella IoT-lösningar. Samarbeten som detta ger studenter möjlighet att arbeta med verkliga utmaningar samtidigt som de bidrar till forskning och innovation med direkt relevans för industrin.

Läs hela intervjun med Ali och Lars Almkvist från Valmet via länken i kommentarerna.

Läs mer om NIIT här: https://www.miun.se/Forskning/forskningsprojekt/pagaende-forskningsprojekt/niit---nasta-generations-industriella-iot2/

Stort tack till Ali, Lars och Valmet för ett inspirerande samarbete!

10/06/2026

Congratulation Eiraj Saqib for a successful PhD Defense! 🎓

Yesterday Eiraj Saqib presented his doctoral thesis "Bottleneck-Aware Optimization of Distributed CNN Inference for Edge-Cloud IoT Systems" to the opponent Professor Holger Fröning, Heidelberg University, Germany and the Examining Committee: Professor Slawomir Nowaczyk, Halmstad University, Professor Gian Domenico Licciardo, University of Salerno and Associate Professor Qing He, Mid Sweden University.

Eirajs work was supervised by Professor Mattias O'Nils´Nils and Dr. Irida Shallari.


🎥 You can watch Eiraj present his work on Youtube:
https://www.youtube.com/watch?v=tD-XdkR_cTY&t=1s

📖 And read his thesis in DIVA:
https://miun.diva-portal.org/smash/record.jsf?aq2=%5B%5B%5D%5D&c=1&af=%5B%5D&searchType=SIMPLE&sortOrder2=title_sort_asc&query=Bottleneck-Aware+Optimization+of+Distributed+CNN+Inference+for+Edge-Cloud+IoT+Systems&language=sv&pid=diva2%3A2059121&aq=%5B%5B%5D%5D&sf=all&aqe=%5B%5D&sortOrder=author_sort_asc&onlyFullText=false&noOfRows=50&dswid=7680

Congratulation Eiraj to your new title - Doctor in Electronics! 📜 🎓

26/05/2026

🎥 Webinar Recording Now Available: Trustworthy AI – Responsibility, Risk, and Resilient Digital Systems 🔒

As AI and connected systems become part of business-critical operations, responsibility for security and reliability often spans across IT, operations, suppliers and cloud providers - creating hidden risks and unclear ownership.

Based on insights from the research project TRUST, this webinar explores practical challenges related to Trustworthy AI, resilient wireless communication and connected systems.

The webinar also highlights emerging threats targeting Global Navigation Satellite Systems (GNSS), which provide positioning, navigation and timing (PNT) services used in smartphones, transportation and critical infrastructure.

Using a Deep Q-Network (DQN)-based machine learning approach, the presentation demonstrates how GNSS spoofing attacks and signal disturbances can be detected and classified, using examples from recent real-world incidents.

🎥 Watch the recording and access the presentations here: https://youtu.be/N43t48RPPKQ

🙏 Many thanks to our speakers:
KYI THAR from Mittuniversitetet and Abdullah Al Noman Chowdhury from University of Vaasa

This event is part of the research project TRUST - Enhancing Wireless Communication & Sensing with Secure, Resilient, and Trustworthy Solutions, funded with support from Interreg Aurora EU programme. The project is a collaboration between Mid Sweden University and University of Vaasa.

Who Owns AI Risk in Your Business? Many small and medium-sized comp...

08/05/2026

I veckan välkomnade STC Research Centre industrinätverket IUC Västernorrland till Mittuniversitetet för samtal om forskning, innovation och samverkan mellan akademi och näringsliv.

Under besöket presenterade centrumledare Prof. Mattias O'Nils hur STC tillsammans med industrin arbetar för att skapa innovation, kompetensutveckling och långsiktig konkurrenskraft. En viktig del av denna samverkan är industridoktorander som delar sin tjänst mellan Mittuniversitetet och företag. De fungerar som en viktig länk mellan forskning och industri där ny kunskap snabbt kan omsättas i praktiken och bidra till både lärande och innovation. Där företagsforskarskolan Smart Industry Sweden visat sig vara ett framgångsrikt koncept för Mittuniversitetet.

Under besöket presenterades även resultaten från samarbetet mellan STC Research Centre, IUC Västernorrland, Bron Innovation och Samling Näringsliv kring industriell AI. Genom inspirationsföreläsningar och workshops har regionalt näringsliv samlats för att utforska hur AI kan bidra till framtidens industriella utveckling och stärkt konkurrenskraft.

Tack till IUC Västernorrland för besöket - STC Research Centre ser fram emot fortsatt samarbete för att stärka innovationskraften och den hållbara industriella utvecklingen i Västernorrland!

07/05/2026

🔊 Making sound visible ‑ halftime seminar by Marianthi Adampoulou
PhD-student Marianthi Adamopoulou recently presented her research during a halftime seminar at Mid Sweden University.

Marianthi's research focuses on how simple microphone setups, combined with deep learning, can be used for complex sound imaging tasks and future real-world applications such as automatic sound classification and early warning systems.

- I was drawn to sound imaging because it lets you turn something invisible into something you can see. The idea of giving shape to sound, especially sounds we might not even hear, really fascinated me, says Marianthi.

Opponent to the seminar was Professor Tuomas Virtanen from Tampere University and supervisor is Prof. Jan Lundgren at Mittuniversitetet.

- It was a great experience. It gave me the opportunity to present my work and bring it closer to people. My discussion with Professor Tuomas Virtanen was very valuable. His feedback made me see my topic from different perspectives and redefine how I approach the applications, tells Marianthi.

Congratulations to Marianthi on reaching this important milestone in her PhD journey!

13/04/2026

🎓 An important milestone in doctoral studies

Recently, PhD student Oscar Artur Bernd Berg held his half-time seminar at Mid Sweden University – an opportunity to present research results and receive valuable feedback for the work ahead.

Oscar’s research in Electronics focuses on how deep learning can be implemented on resource-constrained IoT devices, enabling more advanced AI directly in small, connected systems. Oscar is a part of the IRS TransTech Research School, an international graduate school focused on digitalisation and advanced technologies.

💡A field with great potential for the intelligent and efficient systems of the future. Congratulations on reaching this important milestone, and best of luck with the continued research!