Pasi Liljeberg profile picture
Pasi
Liljeberg
Professor, Health Technology
Professor, Head of Department
Research interest fall to the areas of biomedical engineering, health technology and edge computing. Please see also: https://healthtech.utu.fi

Contact

+358 29 450 2469
+358 40 543 3722
Vesilinnantie 5
20500
Turku

Areas of expertise

Biomedical engineering
Internet of Things
edge computing
Wearable sensors
Digital health technology
Health data analytics
Approximate and adaptive computing,

Biography

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. 

Teaching

Teaching interest in the field of Health Technology in general.

Research

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.

Publications

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Exploring computation offloading in IoT systems (2021)

Information Systems
Shahhosseini Sina, Anzanpour Arman, Azimi Iman, Labbaf Sina, Seo DongJoo, Lim Sung-Soo, Liljeberg Pasi, Dutt Nikil, Rahmani Amir M.
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Robust ECG R-peak detection using LSTM (2020)

ACM Symposium on Applied Computing
Laitala J., Jiang M., Syrjälä E., Naeini E.K., Airola A., Rahmani A.M., Dutt N.D., Liljeberg P.
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))