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.
- Attention-Based Explainable AI for Wearable Multivariate Data: A Case Study on Affect Status Prediction (2024)
- International Conference on Wearable and Implantable Body Sensor Networks
(A4 Refereed article in a conference publication ) - EA2: Energy Efficient Adaptive Active Learning for Smart Wearables (2024)
- Proceedings : International Symposium on Low Power Electronics and Design
(A4 Refereed article in a conference publication ) - ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets (2024)
- International Conference on Wearable and Implantable Body Sensor Networks
(A4 Refereed article in a conference publication ) - Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach (2024)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(A4 Refereed article in a conference publication ) - Improved sleep stage predictions by deep learning of photoplethysmogram and respiration patterns (2024)
- Computers in Biology and Medicine
(A1 Refereed original research article in a scientific journal) - Preterm birth risk stratification through longitudinal heart rate and HRV monitoring in daily life (2024)
- Scientific Reports
(A1 Refereed original research article in a scientific journal) - Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU (2024) ICBRA '23: Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications Kazemi, Kianoosh; Azimi, Iman; Liljeberg, Pasi; Rahmani, Amir M.
(A4 Refereed article in a conference publication ) - SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness (2024)
- Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
(A4 Refereed article in a conference publication ) - Tango: Low Latency Multi-DNN Inference on Heterogeneous Edge Platforms (2024)
- Proceedings : IEEE International Conference on Computer Design
(A4 Refereed article in a conference publication ) - Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications (2024)
- International Conference on Hardware/Software Codesign and System Synthesis
(Other publication)
