Digital Health, Wellbeing and Resilience
Research
In all our research areas, our key mission is to produce new talented and skilled experts to serve the society and industry.
Data Science & Artificial Intelligence for Healthcare
Our Data Science and AI for healthcare research includes a range of topics from automatic medical image analysis, such as diabetic retinopathy severity grading and pathological tissue segmentation. Our research methods include deep learning neural networks and statistical Bayesian approaches. In order to improve the trustworthiness of deep learning approaches, we aim to develop their explainability with techniques such as uncertainty quantification and adding human-in-the-loop components through interactivity.
Techno-Social Networks & Socio-Economic Modeling
We provide essential insights into the socio-economic effects of pandemics and the dynamics of social networks through sophisticated data analytics, machine learning, and computational modelling. Our research into residential clustering and the mobility of ethnic minorities in Finland reveals how urban migrational patterns and social factors contribute to spatial distributions and community dynamics. This comprehensive approach aids the policymakers and public alike, offering new perspectives on managing societal challenges and promoting wellbeing.
Digital Resilience
We are exploring new AI-based technologies for advanced cyber threat detection. In addition, we explore context-aware data mining for cyber security using AI and language models.
Our current projects
You can find our current research projects and their descriptions from the link below:
Interested in joining us?
We are constantly looking for talented Masters and Doctoral students as well as Postdoctoral researchers in above mentioned fields of research. Contact kimmo.kaski@aalto.fi
