Better data leads to better scientific understanding
What are your research topics?
My research group works on networked and embedded sensing systems, focusing on how they can be utilized as tools to support scientific endeavours. These systems are used on devices with network connections and integrated sensors, such as smartphones, environmental sensors, drones, and autonomous vehicles.
Examples of our research include creating data collection, AI, and machine learning methods to enhance data quality, and examining the potential security and privacy risks associated with data use. Ultimately, my research aims to leverage these technologies to advance scientific understanding and provide new and improved research methodologies.
Where and how does the topic of your research have an impact?
Our research primarily impacts empirical-driven analysis by developing innovative methods for collecting scientific measurements. These advancements not only enhance data collection processes but also have significant potential in data-driven decision-making across society, such as in business and policy making. These technologies also have commercial potential, and some of my findings have led to commercial innovations.
What is particularly inspiring in your field right now?
The current excitement in my field surrounds the integration of advanced AI technologies into everyday devices. Modern smartphones already integrate powerful AI assistants, and there are initiatives to bring AI techniques to smartwatches, wearables and other everyday devices.
Personally, I am motivated to explore novel ways to enhance data collection processes, particularly in the context of natural ecosystems, with oceans and aquatic environments being especially close to my heart.
Additionally, the potential for quantum computing in embedded systems fascinates me, as it opens new avenues for research that could revolutionize how we process and analyse data.
This news item was originally published on the University of Helsinki website on 2.12.2024
Read more news
AI for Food Science workshop sparks international collaboration
How can universities, research institutes, and food companies work together to harness the power of emerging AI for food science? University of Helsinki organized a dedicated workshop, bringing leading European researchers and industry experts to the same table.
RealYou AI will develop the next generation of personalized AI decision assistants
Researchers to build cognitive machine learning that will improve decision-making with instantly personalized intelligent assistance.
Europe’s best AI literacy initiative for education comes from Finland
Generation AI, a Finnish initiative for AI literacy in education and research, has won the European Union’s 2026 Digital Skills Award for promoting AI literacy among children and young people. The award ceremony was held in Brussels on 30 June 2026.