Pasi Liljeberg
Professor, Head of Department
pasi.liljeberg@utu.fi +358 29 450 2469 +358 40 543 3722 Vesilinnantie 5 Turku Työhuone: 1st floor ORCID-tunniste: 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.
- Model-free condition monitoring with confidence (2019)
- International Journal of Computer Integrated Manufacturing
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - On-Chip Dynamic Resource Management (2019)
- Foundations and Trends in Electronic Design Automation
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study (2019)
- IEEE Access
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Skin Conductance Response to Gradual-Increasing Experimental Pain (2019)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - adBoost: Thermal Aware Performance Boosting through Dark Silicon Patterning (2018)
- IEEE Transactions on Computers
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - 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 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä ) - Applicability of Context-Aware Health Monitoring to Hydraulic Circuits (2018)
- Proceedings of the Annual Conference of the IEEE Industrial Electronics Society
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - 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 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Approximation for Run-time Power Management (2018)
- IEEE International Symposium on Circuits and Systems. Proceedings
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Edge-Assisted Sensor Control in Healthcare IoT (2018) IEEE GLOBECOM 2018 Amiri Delaram, Anzanpour Arman, Azimi Iman, Levorato Marco, Rahmani Amir M., Liljeberg Pasi, Dutt Nikil
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Empowering Healthcare IoT Systems with Hierarchical Edge-based Deep Learning (2018) 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Iman Azimi, Janne Takalo-Mattila, Arman Anzanpour, Amir M. Rahmani, Juha-Pekka Soininen, Pasi Liljeberg
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Energy efficient wearable sensor node for IoT-based fall detection systems (2018)
- Microprocessors and Microsystems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach (2018)
- Future Generation Computer Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Fog computing approach for mobility support in internet-of-things systems (2018)
- IEEE Access
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Goal Formulation: Abstracting Dynamic Objectives for Efficient On-chip Resource Allocation (2018) 2018 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC) Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil Dutt
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Hierarchical Dynamic Goal Management for IoT Systems (2018)
- International symposium on quality electronic design proceedings
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - IoT-Based Healthcare System for Real-Time Maternal Stress Monitoring (2018) 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Olugbenga Oti, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Anna Axelin, Pasi Liljeberg
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - IoT-based remote pain monitoring system: from device to cloud platform (2018)
- IEEE Journal of Biomedical and Health Informatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Rethinking ‘Things’ - Fog layer interplay in IoT: A mobile code approach (2018)
- Lecture Notes in Business Information Processing
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Trends in on-chip dynamic resource management (2018) 2018 21st Euromicro Conference on Digital System Design (DSD) Kasra Moazzemi, Anil Kanduri, Dávid Juhász, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil Dutt
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)



