More certainty for deep learning
With the support of Saab, doctoral student Lassi Meronen is developing models for deep learning that can be used, for example, in radars and medical diagnosis.
Doing a doctoral thesis at Saab helps understand the challenges of the future
Doctoral students thank Saab’s experts for their help and the company’s real-life application challenges.
Doctoral student Henri Kähkönen integrates antenna arrays and microcircuits made possible by millimeter-wave technology. In addition to wireless data transmission, the technology enables the development of radars for the needs of the automotive and healthcare industries.
Saab's help has been key to advancing research. Among other things, Kähkönen has been able to use a state-of-the-art 3D printing device, which makes it possible to make an accurate and high-quality metallic antenna array prototype. He has also been able to discuss key research issues with Saab engineers.
'Saab's experts have helped us in advancing the research and opened up new perspectives on what is required of future antenna technology,' says Kähkönen.
The need for satellite-independent navigation is growing
Doctoral student Jouko Kinnari is researching how positioning would be possible without satellite positioning systems.
Demands for positioning reliability increase as the use of new applications, such as autonomous transport robots, becomes more widespread. However, there are still challenges in satellite positioning technology: for example, tall buildings and vegetation block the signal from the satellite to the position receiver and receiver interference is possible.
Kinnari is exploring how unmanned aerial vehicles can locate themselves using camera and inertial measurement systems, making them independent of satellite positioning systems.
More certainty for deep learning
Doctoral student Lassi Meronen is developing deep learning models that know how to estimate their own uncertainty computationally. The models can be used, for example, in radars and medical diagnosis.
Deep learning, machine learning and artificial intelligence offer significant opportunities to solve the challenges of different disciplines and make our lives easier in many ways.
'There is still a lot to be developed in technology modeling, especially in assessing uncertainty. Deep learning models may fail, for example, in situations where the model encounters something new that it has not seen before. Saab offers many fascinating, real-life application challenges that take my research forward', says Meronen.
The doctoral students discuss their research with professors in videos:
Tutustu tohtoriopiskelijoiden ja Saabin yhteistyöhön:
Millimeter-wave technology is changing network connections
In addition to wireless data transmission, the technology helps to develop radars.
The need for satellite-independent navigation is growing
With the support of Saab, doctoral student Jouko Kinnari is researching how positioning would be possible without satellite positioning systems.
How do you know where a drone is flying without a GPS signal?
In Jouko Kinnari's doctoral dissertation, the location of a drone can be determined using map data and sensors.
Read more news
Student exchange in Europe? Unite! can take you there
Aalto is a member of Unite!, a European university alliance that gives students the opportunity to internationalise their degrees both online and in-person. Join the webinar to find out more.
Opinion: Finnish language learning should be integrated into degree programs
In this opinion piece, Rebekka Nylund, an expert at the University of Helsinki, and Elisa Räsänen, a university lecturer at Aalto University, reflect on what they have learned from the EU-co-funded Language-supported Knowledge Pathways project and offer suggestions on how and why learning Finnish could be integrated into the structures of higher education degree programs.
What job seeking looks like in the age of AI?
Aalto students map the future for Alma Career