About
Foteini Liwicki is an Associate Professor at Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, leading the Embedded Intelligent Systems LAB and the Machine Learning Focus Group – Brain Analysis since 2022. Her work bridges Artificial Intelligence and Neuroscience with applications in communication disorders, neurodegenerative conditions, and mental health.
Dr. Liwicki's research focuses on multimodal brain analysis, particularly inner speech mechanisms, neurodegenerative disorders like dementia, neurodevelopmental conditions such as ADHD, and the therapeutic effects of singing on mental health. She develops computational methods for EEG-fMRI integration and interpretable machine learning approaches to understand human communication across diverse populations.
Her recent publications demonstrate a strong interdisciplinary approach, combining machine learning with neuroscience, geology, and educational technology. The research trends show increasing focus on multimodal data fusion, brain-computer interfaces, and practical applications of AI in healthcare and resource management.
Scientific Awards:
- 2023-2025: Kompetensutveckling till professor, dnr LTU-154-2023
- 2022: Grants for Excellent Research Projects Proposals of SRT.ai 2022
- 2020-2021: Ansökan juniora lovande forskare, dnr LTU-4449-2019
Dr. Liwicki actively supervises multiple PhD and Master's students across diverse research areas including brain signal analysis, inner speech detection, geological data analysis, and AI applications in healthcare. She has received significant research funding including Kempestiftelserna grants for projects on inner speech, ADHD prediction, and singing therapy for psychiatric disorders.
She leads the Machine Learning Focus Group – Brain Analysis, which develops computational methods for multimodal brain analysis, and collaborates extensively with international institutions including the University of Nantes, Kyushu University, and various European research centers.
