Where academic tradition
meets the exciting future

Embedded Computer and Electronic Systems (ECES)

ECES focuses in its research on Internet of Things (IoT), novel massively parallel computing platforms and paradigms, as well as autonomous embedded and cyber physical systems (CPS). ECES publishes annually 30-40 peer-reviewed research papers. The unit collaborates especially with the Embedded Systems Lab and Distributed Systems Lab at TUCS. The key application domains for the research are personal health, safety and well-being. The focus is on application development and implementation tools for multiprocessor platforms developed within the laboratory and wireless sensor networks. Sensors are developed in international cooperation with Royal Institute of Technology (KTH) (Stockholm, Sweden) and Fudan University (Shanghai, PRC). In addition to international collaboration, ECES cooperates with multiple disciplines within University of Turku to achieve a true multidisciplinary research environment.

Research Unit Web Page: http://computersystems.utu.fi

Leader of the unit

Juha Plosila

Senior Researchers

Pasi Liljeberg Juha Plosila Hannu Tenhunen Tomi Westerlund


Masoud Daneshtalab Thomas Canhao Xu Liang Guang Amir-Mohammad Rahmani Masoumeh Ebrahimi Rajeev Kumar Kanth

Doctoral Students

Fahimeh Farahnakian Mohammad Fattah Hashem Haghbayan Kameswar Rao Vaddina Farhoud Hosseinpour Sergei Dytckov Tuomas Poikela Syed Mohammad Asad Jafri Marco Ramirez Anam Tahir


Data Management of 3D Systems for the Dark Silicon Age (MANAGE)

Academy of Finland, Hannu Tenhunen, 2013-2017.


Click here to see the full list of publications from the TUCS Publication Database

The latest updated publications:

Irum Rauf, Inna Vistbakka, Elena Troubitsyna, Formal Verification of Stateful Services with REST APIs using Event-B. TUCS Technical Reports 1192, TUCS, 2018.

Tuan Nguyen Gia, Mai Ali, Imed Ben Dhaou, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen, IoT-Based Continuous Glucose Monitoring System: A Feasibility Study. Procedia Computer Science (109), 327–334, 2017.

Amir-Mohammad Rahmani, Tuan Nguyen Gia, Behailu Negash, Arman Anzanpour, Iman Azimi, Mingzhe Jiang Jiang, Pasi Liljeberg, Exploiting Smart E-Health Gateways At the Edge of Healthcare Internet-of-Things: A Fog Computing Approach. Future Generation Computer Systems: The International Journal of Grid Computing: Theory Methods and Applications , 1–18, 2017.

Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen, Self-Aware Early Warning Score System for IoT-Based Personalized Healthcare. In: Kostas Giokas, Laszlo Bokor, Frank Hopfgartner (Eds.), eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 181, 49–55, Springer, Cham, 2017.

Imed Ben Dhaou, Tuan Nguyen Gia, Pasi Liljeberg, Hannu Tenhunen, Low-Latency Hardware Architecture for Cipher-Based Message Authentication Code. In: Pamela Abshire, Ralph Etienne-Cummings (Eds.), Low-Latency Hardware Architecture for Cipher-Based Message Authentication Code, 1–4, IEEE, 2017.

Tuan Nguyen Gia, Mingzhe Jiang, K.Victor Sarker, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen, Low-Cost Fog-Assisted Health-Care IoT System with Energy Efficient Sensor Nodes. In: Jaime Lloret Mauri, Slim Alouini (Eds.), The 13th International Wireless Communications and Mobile Computing Conference (IWCMC 2017) , 1–6, IEEE, 2017.

Victor Sarker, Mingzhe Jiang, Tuan Nguyen Gia, Arman Anzanpour, Amir-Mohammad Rahmani, Pasi Liljeberg, Portable Multipurpose Bio-Signal Acquisition and Wireless Streaming Device for Wearables. In: John Schmalzel, Salvo Baglio (Eds.), Sensors Applications Symposium (SAS), 2017 IEEE, 1–6, IEEE, 2017.

Behailu Negash, Tuan Nguyen Gia, Arman Anzanpour, Iman Azimi, Mingzhe Jiang Jiang, Tomi Westerlund, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen, Leveraging Fog Computing for Healthcare IoT. In: Amir M. Rahmani, Pasi Liljeberg, Jürgo-Sören Preden, Axel Jantsch (Eds.), Fog Computing in the Internet of Things, 145–169, Springer, 2017.

Mohammad-Hashem Haghbayan, Energy-Efficient and Reliable Computing in Dark Silicon Era. TUCS Dissertations 228. 2017.

Farhoud Hosseinpour, Juha Plosila, Hannu Tenhunen, Containerized Smart Data: An Approach for Managing Big data in the Fog Computing Context. TUCS Technical Reports 1183, 2017.