Is it difficult? If so, I am interested.
Susanna Pirttikangas
D.Sc.(tech.), M.Sc. (math), adj. prof. (data science)
Biography
I have worked with many research groups within our faculty and I find it excellent that there is always somebody to ask if I need new knowledge about any computer science related issue, and any other matter I might add. My current research unit is in the Faculty of Information Technology and Electrical Engineering, find our pages: Center for Ubiquitous Computing where I lead the Interactive Edge research group. In research, enabling situation awareness is my job and I utilize different kinds of sensor networks that produce data for this.I design data collection, participate in sensor installations, collect and store data, clean the data and draw conclusion from selected features utilizing machine learning and data fusion methodologies. I am also interested in solving the not-so-technical barriers of leveraging artificial intelligence - regulatory, ethical restrictions and possibilities but also how can we enhance the digital skills and AI literacy of people.
Research interests
- Machine learning
- Data science
- Edge Intelligence
- Distributed artificial intelligence
Interactive Edge Research Group (iEdge)
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
Part-time professor:
Prof Sasu Tarkoma, University of Helsinki, University of Oulu
Associate Professor Xiang Su, University of Helsinki, University of Oulu
University lecturers:
Teemu Leppänen
Postdoctoral researchers:
Ekaterina Gilman
Ella Peltonen
Anna Rohunen
Doctoral students:
Jacky Cao
Marta Cortes
Rouhollah Ehsani
Juuso Haavisto
Lauri Lovén
Hassan Mehmood
Tri Hong Nguyen
Petteri Paananen
Iván Sánchez
Arash Sattari
Parsa Sharmila
Shouhua Zhang
Research Assistants:
Adnanul Islam
Henna Kokkonen
Vappu Schroderus
Projects and activities
Interactive Edge (iEdge) research team PI
UOulu AI community vice-leader (1.12.2019-)
PROJECTS AND ACTIVITIES:
- FRACTAL, ECSEL, 2020-2023, http://fractal-project.eu/, partner, UOulu co-PI
- Better Factory, H2020, 2020-2024, https://www.oulu.fi/university/news/better-factory-oulu, UOulu PI
- Reboot Finland IoT Factory, Business Finland, 2018-2021, http://rebootiotfactory.fi, partner, UOulu responsible leader
- PRIORITY, Business Finland and Finland Defence Forces, 2019-2021, partner
- 5G Viima, BF and companies, 2019-2021, partner
- S2ERC APPIA, Business Finland and Fingersoft, 2020-2021, https://www.serc.net/, UBICOMP resposible leader
- Personalization, Privacy and Quality Control for MaaS with Blockchain (TrustedMaaS), http://www.oulu.fi/university/node/49880, Infotech Oulu, 2018-2022, PI
- AnalytiikkaÄly, 2018-2021, Ministry of Education, ITEE PM
STEERING GROUP MEMBERSHIPS:
- Reboot Finland IoT Factory, steering group member
- Haka tunnistusjärjestelmä, steering group member
- Datanhallinnan ja laskennan kehittämisohjelma 2017−2021, vice member, Ministry of Education
- FinnCham, digitalization 2019, member
Databases
Scientific merits
Professional and community activities
- Chair of several Follow up Groups
Research groups
- Research director, Center for Ubiquitous Computing
- Director, Interactive Edge (iEdge)
Selected publications
- Petri Rouvinen, Mika Pajarinen, Susanna Pirttikangas, Topi Järvinen, Sasu Tarkoma, Mika Klemettinen, Pietari Suvanto, Emma Villeneuve, Jaakko Pihlaja, Pekka Nikander, Juri Mattila, Timo Seppälä (2018) Digibarometri 2018. - Etla raportit. UBICOMP. [Original]
- Nguyen, Tri; Tran, Ngoc; Loven, Lauri; Partala, Juha; Kechadi, M-Tahar; Pirttikangas, Susanna (2020) Privacy-Aware Blockchain Innovation for 6G: Challenges and Opportunities. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proceedings of the 2nd 6G Wireless Summit (6G SUMMIT), 17-20 March 2020 Levi, Finland. Ei sarjaa/No series. 1-5. [Original] [Self-archived]
- Chowdhury, Fatema Sultana; Lovén, Lauri; Cortés, Marta; Halkola, Eija; Seppänen, Tapio; Pirttikangas, Susanna (2020) Emotional well-being in smart environments: an experiment with EEG. (Artikkeli tieteellisessä konferenssijulkaisussa). - UbiComp-ISWC '20: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers. Ei sarjaa/No series. 680-684. [Original] [Self-archived]
- Partala,Juha; Nguyen,Tri Hong; Pirttikangas, Susanna (2020) Non-interactive Zero-knowledge for Blockchain: A Survey. - IEEE access 8 (1), 227945 - 227961 . [Original] [Self-archived]
Thesis supervisions
M.Sc. thesis, Degree Program of Computer Science and Engineering, recent
Antti Möttönen, Creating a toolbox for IoT device behaviour analysis using data mining, 2019
Umar Saeed, Containerization of Robotic Process Automation for Data Visualization, 2019
Joshua Adeegbe, A System Supporting Analysis of Prototyping in Fab Lab Education, 2019
Karri Ojala, Optimization of Spacegraft Operator Workflow Through Modern Web Technologies, 2018
Krista Vilppola, Web-based Tool for Controlling the EB Robinos Predictor, 2018
Lari-Matias Orjala, Unit testing methods for Internet of Things Mbed OS operating system, 2019
Eemeli Ristimella, Smart luminaire positioning and lighting control in collaborative spaces, 2020
D.Sc. (tech) thesis
Abhinay Pandya, Demographic Inference and Affect Estimation of Microbloggers, co-supervisor, University of Oulu, Faculty of Information Technology and Electrical Engineering, Computer Science and Engineering, Acta Universitatis Ouluensis. C, Technica, 2020
Research visits
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Tokyo Denki University, Tokyo, Japan
– 17.9.2008 to 26.10.2018Visiting researcher in project OSOITE (host: prof. Yoshito Tobe)
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Tokyo Denki University, Tokyo, Japan
– 6.1.2008 to 31.1.2008Visiting researcher in project OSOITE (host: prof. Yoshito Tobe)
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Tsinghua University, Beijing, China
– 1.9.2011 to 31.10.2018Urban sensor network data analysis
Funded research projects
Keywords
