Today, University of Oulu is the home for the first 6G research and innovation center in the world, 6G Flagship, which is a vigorous research and co-creation ecosystem for 5G adoption and 6G innovation. We support the industry to fully deploy 5G technology through joint R&D projects, trials and demonstrations. At the same time, the 6G Flagship experts are already working on essential technology components and solutions needed for the 2030 wireless era and seeking for major scientific breakthroughs in the interrelated domains of wireless connectivity, device and circuit technologies, distributed intelligent computing, and novel applications and services.
The scientists, innovators and companies in this world-class R&D hub work towards creating new business opportunities, but at the same time developing solutions to respond to United Nations’ sustainable development goals and major societal challenges, powered by the next generation mobile technology.
Will this next generation mobile technology create a society that is data-driven and enabled by instant and unlimited wireless connectivity all around the world?
Tune in to the fourth episode of the Future is Made in Finland -webinar series and learn of the latest technology developments, engineering and ICT expertise needed to fulfill this vision!
3 November at 12.00 EET / 15:30 IST / 18:00 SST / facilitated by the University of Oulu
Hosted by Sergei Kopytin, Coordinator for International Relations
Prof. Pouttu is interested in communication engineering, communications theory and digital transmission techniques.
"I have worked with many research groups within our faculty and I find it excellent that there is always somebody to ask if I need new knowledge about any computer science related issue, and any other matter I might add. My current research unit is in the Faculty of Information Technology and Electrical Engineering, find our pages: Center for Ubiquitous Computing where I lead the Interactive Edge research group. In research, enabling situation awareness is my job and I utilize different kinds of sensor networks that produce data for this.I design data collection, participate in sensor installations, collect and store data, clean the data and draw conclusion from selected features utilizing machine learning and data fusion methodologies. I am also interested in solving the not-so-technical barriers of leveraging artificial intelligence - regulatory, ethical restrictions and possibilities but also how can we enhance the digital skills and AI literacy of people."
