Hannu Tenhunen
Prof. Dr.h.c. Prof.h.c. Ph.D. M.Sc. EE
hannu.tenhunen@utu.fi Joukahaisenkatu 3-5 Turku Office: B6040 ORCID identifier: https://orcid.org/0000-0003-1959-6513 |
Smart systems and electronics
Electronic system design
Embedded systems and electronics
Engineering, electronics and computer engineering
Hannu Tenhunen received the Diploma Engineer degree in electrical engineering and computer sciences from Helsinki University of Technology, Helsinki, Finland, in 1982 and PhD degree in microelectronics from Cornell University, Ithaca, NY, in 1986. During 1978–1982, he was with Electron Physics Laboratory, Helsinki University of Technology. From 1983 to 1985, he was with Cornell University as a Fulbright Scholar. From September 1985, he was with the Signal Processing Laboratory, Tampere University of Technology, Finland, as an Associate Professor and head of department. He was also a Coordinator of the National Microelectronics Program of Finland during 1987–1991. Since January 1992, he has been with Royal Institute of Technology (KTH), Sweden, where he is a Chair Professor in the electronic system design. At KTH he was the dean of School of Information Technology 2002-2005. For period 2006-2011 he was director of Turku Centre of Computer Science (TUCS), Finland. He has been a part time inivited professor at University of Turku. He has an honorary doctorate and honorary professor degrees and has received a Mangolian Silver Award and Metal from the city of Shanghai for his contributions there. His current research interests are VLSI circuits and systems for autonomic and smart systems and IoT. He has been actively involved in several EU programs on VLSI/ system-on-a-chip. He was, at European level, the education director of the European Institute of Innovation and Technology, EIT Digital, 2006-2011. He has published over 950 reviewed publications and holds 9 international patents. His google scholar number of citations is 15116 and h-index is 53.
research focus on smart systems and electronics. In addition , active work on Challenge Driven Education model and innovation policies connected to that.
- A low profile miniature RFID tag antenna dedicated to IoT applications (2019)
- Electromagnetics
(A1 Refereed original research article in a scientific journal) - An Integrated Antenna System for 4G and Millimeter-Wave 5G Future Handheld Devices (2019)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - A qualitative comparison model for application layer IoT protocols (2019) 2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC) Kakakhel S., Westerlund T., Daneshtalab M., Zou Z., Plosila J., Tenhunen H.
(A4 Refereed article in a conference publication ) - A Survey on Odometry for Autonomous Navigation Systems (2019)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - Data-Dense and Miniature Chipless Moisture Sensor RFID Tag for Internet of Things (2019)
- Electronics
(A1 Refereed original research article in a scientific journal) - Distributed Progressive Formation Control with One-Way Communication for Multi-Agent Systems (2019) 2019 IEEE Symposium Series on Computational Intelligence (SSCI) J. Peña Queralta, T. N. Gia, H. Tenhunen, T. Westerlund, L. Qingqing, Z. Zou
(A4 Refereed article in a conference publication ) - Edge-AI in LoRa-based health monitoring: Fall detection system with fog computing and LSTM recurrent neural networks (2019) 2019 42nd International Conference on Telecommunications and Signal Processing (TSP) Jorge Peña Queralta, T. N. Gia, H. Tenhunen, T. Westerlund
(A4 Refereed article in a conference publication ) - Edge Computing for Mobile Robots: Multi-Robot Feature-Based Lidar Odometry with FPGAs (2019)
- International Conference on Mobile Computing and Ubiquitous Networking
(A4 Refereed article in a conference publication ) - Elliptical slot based polarization insensitive compact and flexible chipless RFID tag (2019)
- International Journal of RF and Microwave Computer-Aided Engineering
(A1 Refereed original research article in a scientific journal) - Energy-aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model (2019)
- IEEE Transactions on Cloud Computing
(A1 Refereed original research article in a scientific journal)



