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.
- Energy efficient wearable sensor node for IoT-based fall detection systems (2018)
- Microprocessors and Microsystems
- Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach (2018)
- Future Generation Computer Systems
- Fog computing approach for mobility support in internet-of-things systems (2018)
- IEEE Access
- 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
- Hierarchical Dynamic Goal Management for IoT Systems (2018)
- International symposium on quality electronic design proceedings
- 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
- IoT-based remote pain monitoring system: from device to cloud platform (2018)
- IEEE Journal of Biomedical and Health Informatics
- Rethinking ‘Things’ - Fog layer interplay in IoT: A mobile code approach (2018)
- Lecture Notes in Business Information Processing
- 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
- Accuracy-Aware Power Management for Many-Core Systems Running Error-Resilient Applications (2017)
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems
- A perspective on dark silicon (2017) The Dark Side of Silicon: Energy Efficient Computing in the Dark Silicon Era Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Ahmed Hemani, Axel Jantsch, Hannu Tenhunen
- Autonomous Patient/Home Health Monitoring Powered by Energy Harvesting (2017) Proceedings of the 2017 IEEE Global Communications Conference (GLOBECOM) Mai Ali, Tuan Nguyen Gia, Abd-Elhamid Taha, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen
- Can Dark Silicon Be Exploited to Prolong System Lifetime? (2017)
- IEEE Design and Test
- Dark silicon patterning: Efficient power utilization through run-time mapping (2017) The Dark Side of Silicon: Energy Efficient Computing in the Dark Silicon Era Anil Kanduri, Mohammad-Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen
- DoS-IL: A Domain Specific Internet of Things Language for Resource Constrained Devices (2017)
- Procedia Computer Science
- Energy-efficient IoT-enabled fall detection system with messenger-based notification (2017)
- Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Enhancing the Early Warning Score System Using Data Confidence (2017) Wireless Mobile Communication and Healthcare: 6th International Conference, MobiHealth 2016, Milan, Italy, November 14-16, 2016, Proceedings Maximilian Götzinger, Nima Taherinejad, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen
- Fog computing fundamentals in the Internet-of-Things (2017) Fog Computing in the Internet of Things: Intelligence at the Edge Behailu Negash, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch
- Fog Computing in the Internet of Things: Intelligence at the Edge (2017) Amir Rahmani, Pasi Liljeberg, Jürgo-Sören Preden, Axel Jantsch
- From threads to events: Adapting a lightweight middleware for Contiki OS (2017) Noman Uzair A, Negash Behailu, Rahmani Amir M, Liljeberg Pasi, Tenhunen Hannu