Susanna Pirttikangas

Our research focuses on adaptive, reliable, and trusted edge computing. Edge computing distributes applications between the cloud, data producing devices, and devices at the edges of wireless and fixed networks. This computing paradigm promises more bandwidth, reduced latencies, and more control on data access and consent management. 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.

Our group:

Leaders:
Director Susanna Pirttikangas
Prof Jukka Riekki
Postdoctoral researchers:
Ekaterina Gilman
Lik Hang Lee
Teemu Leppänen
Ella Peltonen
Anna Rohunen
Xiang Su
Doctoral students:
Jacky Cao
Marta Cortes
Rouhollah Ehsani
Mehmood Hassan
Lauri Lovén
Tri Hong Nguyen
Mika Oja
Iván Sánchez
Arash Sattari
Research Assistants:
Panu Alaluusua
Fatema Chowdhury
Juuso Haavisto
Tommi Järvenpää
Henna Kokkonen
Sami Laitinen
Eetu Laukka
Parsa Sharmila
Anssi Uistola