Purpose of the laboratory

It is our task to educate the upcoming great minds.

Today there are over 9 billion devices such as, phones, sensors, etc. around the globe. These devices are connected to the internet and their number is expected to grow to over 50 billion by the year 2020. These connected devices form the Internet of Things (IoT). The data, that these devices create, gives us a great insight into trends, preferences, biometrics, etc. This data can lead to a dramatic change in our industry. We believe that students do not learn simply by lecturing, but through active participation and by experimenting. The IoT Laboratory serves as an exciting multidisciplinary learning and research “sandbox” that focuses on learning, research, and hands-on experimentation in order to discover and demonstrate the promise of the IoT. During the semester, students can propose, plan and execute IoT projects in the IoT laboratory. In the projects the students use a wide array of emerging devices and technologies, and their potential applications in consumer, retail, healthcare and industrial contexts. In IoT Laboratory our main goal is to encourage creativity and initiative and to attract and support diverse student body

The rapid development of Internet of Things enables one of the most significant technological changes of our time. It will take great minds from all of us innovating together to build a connected world. It is our task to educate the upcoming great minds.


What are we doing

IoT Hub / market

With IoT Hub interconnectivity gets a whole new meaning.


Blending Problem- and Project-Based Learning in Internet of Things Education.


Spaceify is a client-edge-server ecosystem that seamlessly integrates your physical space with the web.


Local sensor data, local processing with Capillary Network.


Most significant publications from our program

YearTypepublication name
2016JournalJ. Mineraud, O. Mazhelis, X. Su, S. Tarkoma. A gap analysis of Internet-of-Things platforms. Computer Communications 5038843190
2015ConferenceJ. Mineraud, F. Lancerin, S. Balasubramaniam, M. Conti, S. Tarkoma (2015). You are AIRing too much: Assessing the privacy of users in crowdsourcing environmental data. In IEEE 14th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
2015ConferenceMäenpää, Tarkoma, Varjonen, Vihavainen (2015). Blending Problem- and Project-Based Learning in Internet of Things Education: Case Greenhouse Maintenance. In Proceedings of the 46th ACM Technical Symposium on Computer Science Education, pp. 398–403, New York, NY, USA.
2014ConferenceLagerspetz, Hien Thi Thu Truong, Tarkoma, Asokan (2014). MDoctor: A Mobile Malware Prognosis Application. In IEEE 34th International Conference on Distributed Computing Systems Workshops (ICDCSW), pp. 201-206.
2013ConferenceHemminki, Zhao, Ding, Rannanjärvi, Tarkoma, Nurmi (2013). CoSense: A Collaborative Sensing Platform for Mobile Devices. In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, pp. 34:1–34:2, New York, NY, USA.
2013ConferenceHemminki, Nurmi, Tarkoma (2013). Accelerometer-based Transportation Mode Detection on Smartphones. In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, pp. 13:1–13:14, New York, NY, USA.
2012ConferenceWeixiong Rao, Kai Zhao, Yan Zhang, Pan Hui, Tarkoma (2012). Maximizing timely content advertising in DTNs. In 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp. 254-262.
2012ConferenceRao, Zhao, Lagerspetz, Hui, Tarkoma (2012). Energy-aware Keyword Search on Mobile Phones. In Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, pp. 59–64, New York, NY, USA. (link) (bib)
2012ConferenceDing, Hui, Kojo, Tarkoma (2012). Enabling Energy-aware Mobile Data Offloading for Smartphones Through Vertical Collaboration. In Proceedings of the 2012 ACM Conference on CoNEXT Student Workshop, pp. 27–28, New York, NY, USA.
2015JournalZhao, Musolesi, Hui, Rao, Tarkoma (2015). Explaining the power-law distribution of human mobility through transportation modality decomposition. Scientific reports, 5(9136),
2015JournalWeixiong Rao, Kai Zhao, Yan Zhang, Pan Hui, Tarkoma (2015). Towards Maximizing Timely Content Delivery in Delay Tolerant Networks. IEEE Transactions on Mobile Computing, 14(4), pp. 755-769.
2015JournalMohammad Ashraful Hoque, Matti Siekkinen, Jukka K. Nurminen, Mika Aalto, Sasu Tarkoma (2015). Mobile multimedia streaming techniques: QoE and energy saving perspective. Pervasive and Mobile Computing, 16, pp. 96–114.
2014JournalYu Xiao, Yong Cui, Savolainen, Siekkinen, An Wang, Liu Yang, Yla-Jaaski, Tarkoma (2014). Modeling Energy Consumption of Data Transmission Over Wi-Fi. IEEE Transactions on Mobile Computing, 13(8), pp. 1760-1773.
2014JournalHoque, Siekkinen, Nurminen, Tarkoma, Aalto (2014). Saving Energy in Mobile Devices for On-Demand Multimedia Streaming – A Cross-Layer Approach. ACM Trans. Multimedia Comput. Commun. Appl., 10(3), pp. 25:1–25:23. New York, NY, USA.
2013JournalTarkoma, Ailisto (2013). The internet of things program: the finnish perspective. IEEE Communications Magazine, 51(3), pp. 10-11.
2014BookTarkoma, Siekkinen, Lagerspetz, Xiao (2014). Smartphone Energy Consumption: Modeling and Optimization, Cambridge University Press, 2014.


Sasu Tarkoma


Julien Mineraud

Postdoctoral researcher

Samu Varjonen

Postdoctoral researcher

Email: fistname.lastname (a) cs.helsinki.fi

Address: Department of Computer Science, P.O. 68 (Gustaf Hällströmin katu 2b), FI-00014 UNIVERSITY OF HELSINKI, FINLAND