Pasi Liljeberg
Professor, Head of Department
pasi.liljeberg@utu.fi +358 29 450 2469 +358 40 543 3722 Vesilinnantie 5 Turku : 1st floor |
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.
- Prospective Study Evaluating a Pain Assessment Tool in a Postoperative Environment: Protocol for Algorithm Testing and EnhancementSkin Conductance Response to Gradual-Increasing Experimental Pain (2020)
- JMIR Research ProtocolsProcedia Computer ScienceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
- Robust ECG R-peak detection using LSTMRoSA: A Framework for Modeling Self-Awareness in Cyber-Physical SystemsDynamic Computation Migration at the Edge: Is There an Optimal Choice? (2020) SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing Laitala J., Jiang M., Syrjälä E., Naeini E.K., Airola A., Rahmani A.M., Dutt N.D., Liljeberg P.
- 2020
- IEEE Access
- Sleep tracking of a commercially available smart ring and smartwatch against medical-grade actigraphy in everyday settings: instrument validation study (2020)
- JMIR mHealth and uHealth
- User-centric Resource Management for Embedded Multi-core Processors (2020)
- VLSI Design
- Acute pain intensity monitoring with the classification of multiple physiological parameters (2019)
- Journal of Clinical Monitoring and Computing
- (2019) COINS '19 Proceedings of the International Conference on Omni-Layer Intelligent Systems Nakhkash M., Gia T., Azimi I., Anzanpour A., Rahmani A., Liljeberg P.
- A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-ThingsMissing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health (2019)
- (2019) GLSVLSI '19: Proceedings of the 2019 on Great Lakes Symposium on VLSI Sina Shahhosseini, Iman Azimi, Arman Anzanpour, Axel Jantsch, Pasi Liljeberg, Nikil Dutt, Amir M. Rahmani
- (2019) 2019 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC) Mohammadreza Nakhkash, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg
- (2019)
- IEEE Transactions on Cloud ComputingProcedia Computer Science
- Energy-efficient and reliable wearable internet-of-things through fog-assisted dynamic goal management (2019)
- Energy efficient fog-assisted IoT system for monitoring diabetic patients with cardiovascular disease (2019)
- Future Generation Computer SystemsBMC Pregnancy and Childbirth
- Feasibility of smart wristbands for continuous monitoring during pregnancy and one month after birth (2019)
- Goal-Driven Autonomy for Efficient On-chip Resource Management: Transforming Objectives to Goals (2019)
- Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
- (2019)
- Future Generation Computer Systems
- Model-free condition monitoring with confidence (2019)
- International Journal of Computer Integrated Manufacturing
- On-Chip Dynamic Resource Management (2019)
- Foundations and Trends in Electronic Design Automation
- Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study (2019)
- IEEE Access
- (2019)



