Pasi Liljeberg
Professor, Head of Department
pasi.liljeberg@utu.fi +358 29 450 2469 +358 40 543 3722 Vesilinnantie 5 Turku Office: 1st floor ORCID identifier: https://orcid.org/0000-0002-9392-3589 |
Biomedical engineering, Internet of Things, edge computing, Wearable sensors, Digital health technology, Health data analytics, Approximate and adaptive computing,
Research interest fall to the areas of biomedical engineering, health technology and edge computing. Please see also: https://healthtech.utu.fi
Pasi Liljeberg received MSc and PhD degrees in information and communication technology from the University of Turku, Turku, Finland, in 1999 and 2005, respectively. He received Adjunct professorship in embedded computing architectures in 2010. Currently he is working as a full professor in University of Turku in the Digital Health Technology unit. At the same time he serves as head of the Department of Computing, Faculty of Technology, University of Turku. His research interests are biomedical engineering, Internet of Things, edge computing, approximate and adaptive computing, wearable sensors, digital health technology and health data analytics. Liljeberg is the (co-)author of around 300 peer-reviewed publications.
My research interest fall in the field of biomedical engineering, health technology and Internet-of-Things. This is in the context wearable biomedical, wearable technology, applied machine learning, bio-signal processing, health informatics and edge computing. Special attention is paid to novel biomedical sensing applications, wearable computing, analytics, informatics, communication, and networking paradigms, especial focus onhealthcare and wellbeing applications.
Teaching interest in the field of Health Technology in general.
- Goal-Driven Autonomy for Efficient On-chip Resource Management: Transforming Objectives to Goals (2019)
- Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
(A4 Refereed article in a conference publication ) - Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health (2019)
- Future Generation Computer Systems
(A1 Refereed original research article in a scientific journal) - Model-free condition monitoring with confidence (2019)
- International Journal of Computer Integrated Manufacturing
(A1 Refereed original research article in a scientific journal) - On-Chip Dynamic Resource Management (2019)
- Foundations and Trends in Electronic Design Automation
(A1 Refereed original research article in a scientific journal) - Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study (2019)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - Skin Conductance Response to Gradual-Increasing Experimental Pain (2019)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(A4 Refereed article in a conference publication ) - adBoost: Thermal Aware Performance Boosting through Dark Silicon Patterning (2018)
- IEEE Transactions on Computers
(A1 Refereed original research article in a scientific journal) - An IoT-Enabled Stroke Rehabilitation System Based on Smart Wearable Armband and Machine Learning (2018)
- IEEE Journal of Translational Engineering in Health and Medicine
(B1 Non-refereed article in a scientific journal) - Applicability of Context-Aware Health Monitoring to Hydraulic Circuits (2018)
- Proceedings of the Annual Conference of the IEEE Industrial Electronics Society
(A4 Refereed article in a conference publication ) - Approximation-Aware Coordinated Power/Performance Management of Heterogeneous Multi-cores (2018) DAC '18 Proceedings of the 55th Annual Design Automation Conference Anil Kanduri, Antonio Miele, Amir Rahmani, Pasi Liljeberg, Cristiana Bolchini and Nikil Dutt
(A4 Refereed article in a conference publication )



