Susanna Pirttikangas

Is it difficult? If so, I am interested.

D.Sc.(tech), M.Sc.(math) Susanna Pirttikangas

Susanna Pirttikangas

D.Sc.(tech.), M.Sc. (math), adj. prof. (data science)

Research Director
Interactive Edge

74 peer reviewed publications in international journals. The publications have been cited 803 times, of which the most cited publication accounts for 228 citations. The author has a h-index of 14.00. (GoogleScholar)

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 Computing
    • 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
    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
    Henna Kokkonen
    Sami Laitinen
    Eetu Laukka

    Vappu Schroderus

    Hassan Shaheen

    Parsa Sharmila
     

    Projects and activities

    Interactive Edge (iEdge) research team PI 

    UOulu AI community vice-leader (1.12.2019-)

    PROJECTS AND ACTIVITIES:

    • Reboot Finland IoT Factory, Business Finland, 2018-2021, http://rebootiotfactory.fi, UOulu responsible leader
    • PRIORITY, Business Finland and Finland Defence Forces, 2019-2020, partner
    • 5G Viima, BF and companies, 2019-2020, partner
    • S2ERC Personal Profiling for Games (ProGames), Business Finland and Fingersoft, 2019, https://www.serc.net/, UBICOMP resposible leader
    • Virtuaalinen palveluympäristö-D (VIRPA-D), http://www.oulu.fi/yliopisto/node/51089, Business Finland and companies, 2018-2019, UOulu responsible leader
    • Personalization, Privacy and Quality Control for MaaS with Blockchain (TrustedMaaS), http://www.oulu.fi/university/node/49880, Infotech Oulu, 2018-2021, PI
    • AnalytiikkaÄly, 2018-2020, Ministry of Education, ITEE PM

    STEERING GROUP MEMBERSHIPS:

    • Reboot Finland IoT Factory, steering group member
    • VIRPA-D, steering group member
    • Haka tunnistusjärjestelmän steering group member
    • ITS Oulu: http://www.its-oulu.fi, EAKR
    • Datanhallinnan ja laskennan kehittämisohjelma 2017−2021, vice member, Ministry of Education
    • Compleap project, http://compleap.eu, 2018-2019, member
    • FinnCham, 2019, member

    Databases

    Social media

    Scientific merits

    Adjunct professor (data science), University of Oulu

    Professional and community activities

    • Chair of several Follow up Groups

    Research groups

    • Senior Research Fellow, 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]
    • Lauri Lóven, Minna Pakanen, Ekaterina Gilman, Susanna Pirttikangas (2018) Wellbeing in Smart Environments: Definition, Measurement, Prediction and Control. (Artikkeli tieteellisessä konferenssijulkaisussa). - UbiComp/ISWC'18 Adjunct. ACM. Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. New York, NY, USA. 693-697
    • Minna Pakanen, Lauri Lóven, Paula Alavesa, Ekaterina Gilman, Jacques Terken, Berry Eggen, Susanna Pirttikangas (2018) Design Challenges of Wellbeing Supporting Smart Environment in Collaborative Use Situations. (Artikkeli tieteellisessä konferenssijulkaisussa). - UbiComp/ISWC'18 Adjunct. ACM. Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. New York, NY, USA. 688-692
    • Yasmin, Rumana; Salminen, Miikka; Gilman, Ekaterina; Petäjäjärvi, Juha; Mikhaylov, Konstantin; Pakanen, Minna; Niemelä, Arttu; Riekki, Jukka; Pirttikangas, Susanna; Pouttu, Ari (2018) Combining IoT Deployment and Data Visualization: experiences within campus maintenance use-case. (Artikkeli tieteellisessä konferenssijulkaisussa). - 9th IEEE International Conference on Networks of the Future (NoF 2018). Ei sarjaa/No series. 101-105
    • Pirttikangas, S.; Gilman, E.; Su, X.; Leppänen, T.; Keskinarkaus, A.; Rautiainen, M.; Pyykkönen, M.; Riekki, J. (2016) Experiences with Smart City Traffic Pilot. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2016 IEEE International Conference on Big Data (Big Data). Ei sarjaa/No series. 1346-1352. [Original]
    • Gilman, Ekaterina; Zuo, Yifei; Pyykkönen, Mikko; Pirttikangas, Susanna; Riekki, Jukka (2016) Delivering eco-driving information to drivers.. (Abstrakti (Ei KOTAan)). - 11th ITS European Congress, Glasgow, Scotland, 6-9 June 2016. Ei sarjaa/No series, EU-SP0313
    • Gang, Xiong; Kang, Wenwen; Wang, Fei-Yue; Zhu, Fenghua; Lv, Yisheng; Dong, Xisong; Riekki, Jukka; Pirttikangas, Susanna (2015) Continuous Travel Time Prediction for Transit Signal Priority Based on a Deep Network. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2015 IEEE 18th International Conference on Intelligent Transportation Systems (ITSC). Ei sarjaa/No series. 523-528. [Original]
    • Gilman, Ekaterina; Keskinarkaus, Anja; Tamminen, Satu; Pirttikangas, Susanna; Röning, Juha; Riekki, Jukka (2015) Personalised assistance for fuel-efficient driving. - Transportation research part c-emerging technologies 58 (Part D), 681-705 . [Original]
    • Maarala, Altti Ilari; Rautiainen, Mika; Salmi, Miikka; Pirttikangas, Susanna; Riekki, Jukka (2015) Low latency analytics for streaming traffic data with Apache Spark. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2015 IEEE International Conference on Big Data (Big Data). Ei sarjaa/No series. 2855-2858. [Original]

    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

    Research visits

    • Tokyo Denki University, Tokyo, Japan
      – 17.9.2008 to 26.10.2018

      Visiting researcher in project OSOITE (host: prof. Yoshito Tobe)

    • Tokyo Denki University, Tokyo, Japan
      – 6.1.2008 to 31.1.2008

      Visiting researcher in project OSOITE (host: prof. Yoshito Tobe)

    • Tsinghua University, Beijing, China
      – 1.9.2011 to 31.10.2018

      Urban sensor network data analysis

    Funded research projects

    Keywords

    Technology
    Computer science
    machine learning