We are a lively group of roughly 20 experts under the Center for Ubiquitous Computing at the University of Oulu – some of us also work in other universities and others in industry. We define edge intelligence in collaboration with an international edgeAI community comprising experts of distributed computing and artificial intelligence in computer science and engineering, as well as experts of networking in communication engineering.

Edge computing distributes applications between the cloud, data producing devices, and devices at the edges of wireless and fixed networks. Edge computing brings AI methods closer to the physical environment. This enables deep integration of AI with applications supporting humans in their activities and with machines to realise autonomous systems. AI is integrated with the edge computing platform as well, for example, to decide optimal locations for computations

We study situation-aware, self-organizing and self-managing software platforms that use efficiently edge computing infrastructures for 5G and beyond. We enable trust with distributed ledger technologies and privacy-by-design methods. We push edge computing to the limits by embedding computations and AI into physical objects that are digitally fabricated to fit to their purpose. We use distributed artificial intelligence, big data tools, and machine learning methods to explore situation awareness for both end-user applications and the edge computing platform. We implement AI methods in ethical manner and emphasise testing in real environments. We expect our research to shed light on how humans can benefit from edge computing and how it can be used to realise resource-efficient systems.

 

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People

 

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Current projects:

FRACTAL ECSEL-JU  Cognitive Fractal and Secure Edge Based On Unique Open-Safe-Reliable-Low Power Hardware Platform Node
Make4Change (ESR)
Better Factory (H2020)
Bridging the Creativity Gap (Erasmus+)
urBOT (Academy of Finland)
Holonet: Holographic Communications and Networking in the Next Generation Wireless Networks, FARIA The Finnish-American Research & Innovation Accelerator, 2023-2024, PI: Tarkoma, PM: Abhishek Kumar

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Past projects:

Context-aware and Veracious Big Data Analytics for Industrial IoT (ABIDI) (Academy of Finland)
Personalization, Privacy and Quality Control for MaaS with Blockchain (TrustedMaas) (Infotech)
Bayesian Trusted Edge Analytics (B-TEA) (Infotech)
5G Edge Computing Enhanced Augmented Reality (5GEAR) (Academy of Finland)
PRIORITY (Business Finland)
Reboot Finland IoT Factory (Business Finland)
Open Infra Ecosystem I (Business Finland)
S2ERC – APPIA – UoU, Profiling User Activity for Security with Ethical Oversight (ProFile) (Business Finland)
5G Vertical Integrated Industry for Massive Automation (5G VIIMA) (Business Finland)
Coastal Urban developmenT through the LEnses of Resiliency (CUTLER) (H2020)
Edge computing enhanced by artificial intelligence (MEC-AI) (Future Makers)
Virtuaaliset palvelut kiinteistöalalla (Virpa-D) (Business Finland)

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Selected publications:

2022

Cao J, Kit-Yung Lam, Lik-Hang Lee, Xiaoli Liu, Pan Hui, Xiang Su (2022): Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence, ACM Computing Surveys, DOI.

Hoque, M. A., Finley, B. J., Rao, A., Kumar, A., Hui, P., Ammar, M., & Tarkoma, S. (Accepted/In press). Context-driven Encrypted Multimedia Traffic Classification on Mobile Devices. In 2022 IEEE International Conference on Pervasive Computing and Communications (PerCom) IEEE.

Kokkonen H, Lauri Lovén, Naser Hossein Motlagh, Juha Partala, Alfonso Gonzalez-Gil, Ester Sola, Inigo Angulo, Madhusanka Liyanage, Teemu Leppänen, Tri Nguyen, Panos Kostakos, Mehdi Bennis, Sasu Tarkoma, Schahram Dustdar, Susanna Pirttikangas, Jukka Riekki (2022): Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration, arXiv preprint

Kumar A, L-H. Lee, J. Chauhan, X. Su, M.A. Hoque, Susanna Pirttikangas, Sasu Tarkoma & Pan Hui (2022): PassWalk: Spatial Authentication Leveraging Lateral Shift and Gaze on Mobile Headsets. In 30th ACM International Conference on Multimedia: MM ’22 ACM.

Kumar A, Vivek Khimani, Dimitris Chatzopoulos, Pan Hui (2022): FedClean: A Defense Mechanism Against Parameter Poisoning Attacks in Federated Learning, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2022.

Lovén L, Ella Peltonen, Leena Ruha, Erkki Harjula, Susanna Pirttikangas (2022): A dark and stormy night: Reallocation storms in edge computing, EURASIP Journal on Wireless Communications and Networking, 1/2022, pp. 1-21.

Nguyen H, Tri Nguyen, Teemu Leppänen, Juha Partala, Susanna Pirttikangas (2022): Situation Awareness for Autonomous Vehicles Using Blockchain-Based Service Cooperation. In: Franch, X., Poels, G., Gailly, F., Snoeck, M. (eds) Advanced Information Systems Engineering. CAiSE 2022. Lecture Notes in Computer Science, vol 13295. Springer, Cham. DOI.

Motlagh NH, Lauri Loven, Jacky Cao, Xiaoli Liu, Petteri Nurmi, Schahram Dustdar, Sasu Tarkoma, Xiang Su (2022): Edge Computing: The Computing Infrastructure for the Smart Mega-cities of the Future, Computer, a publication of the IEEE Computer Society, In press.

Peltonen E, Ijaz Ahmad, Atakan Aral, Michele Capobianco, Aaron Yi Ding, Felipe Gil-Castiñeira, Ekaterina Gilman, Erkki Harjula, Marko Jurmu, Teemu Karvonen, Markus Kelanti, Teemu Leppänen, Lauri Lovén, Tommi Mikkonen, Nitinder Mohan, Petteri Nurmi, Susanna Pirttikangas, Paweł Sroka, Sasu Tarkoma, Tingting Yang (2022): The Many Faces of Edge Intelligence, IEEE Access, DOI.

Su L, Yong Niu, Zhu Han, Bo Ai, Ruisi He, Yibing Wang, Ning Wang, Xiang Su (2022): Content Distribution Based on Joint V2I and V2V Scheduling in mmWave Vehicular Networks, IEEE Transactions on Vehicular Technology, vol. 71, no. 3, pp. 3201-3213, March 2022, doi: 10.1109/TVT.2022.3141415.

Yin Z, Mayowa Olapade, Mohan Liyanage, Farooq Dar, Agustin Zuniga, Naser Hossein Motlagh, Xiang Su, Sasu Tarkoma, Pan Hui, Petteri Nurmi, Huber Flores, (2022): Toward City-Scale Litter Monitoring Using Autonomous Ground Vehicles, in IEEE Pervasive Computing, vol. 21, no. 3, pp. 74-83, 1 July-Sept. 2022, doi: 10.1109/MPRV.2022.3152926.

2021

Mämmelä, A., Riekki, J. Systems view in engineering research. Integrated Science Series, Vol. II: Transdisciplinarity across the Different Disciplines. N. Razaei, Ed. Springer Nature Switzerland

Lee, L.H., Braud, T., Hosio, S., Pan Hui. Towards Augmented Reality-driven Human-City Interaction: Current Research and Future Challenges, ACM Computing Survey

Nguyen, T.H., Lovén, L., Partala J., and Pirttikangas, S. Blockchain: Foundations and Role in 6G, 6G Mobile Wireless Networks (Springer)

Xu, D., Li, T. Li, Y., Su, X., Tarkoma, S., Jiang, T., Crowcroft, J., Hui, P. Edge Intelligence: Empowering Intelligence to the Edge of Network, Proceedings of IEEE

Lähderanta, T., Lovén, L., Leppänen, T., Ruha, L., Harjula, E., Ylianttila, M., Riekki, J., Sillanpää, M.J. Edge computing server placement with capacitated location allocation, J. Parallel and Distributed Computing

Hartikainen, H., Cortés Orduña, M., Käsmä, M., Sánchez Milara, I., Ventä-Olkkonen, L. Make4Change: Empowering Unemployed Youth through Digital Fabrication, FabLearn 2021

Lovén, L., Lähderanta, T., Ruha, L., Peltonen, E., Launonen, I., Sillanpää, M.J., Riekki, J., Pirttikangas, S., EDISON: An Edge-native Method and Architecture for Distributed Interpolation, Sensors