Jaakko Suutala, D.Sc. (Tech.)

Assistant Professor of Artificial Intelligence

Biomimetics and Intelligent Systems Group
Faculty of Information Technology and Electrical Engineering
University of Oulu, Finland
Email: firstname.lastname@oulu.fi

My official research profile
AI @ University of Oulu
Google scholar



I am an assistant professor (tenure track) of artificial intelligence in the Biomimetics and Intelligent Systems Group at the Faculty of Information Technology and Electrical Engineering, University of Oulu. I received M.Sc. degree in information engineering and D.Sc. (Tech.) degree in machine learning (embedded systems and software) from the University of Oulu in 2004 and 2012, respectively. Furthermore, I have co-founded Nelilab and IndoorAtlas Ltd., where the latter is an indoor positioning spin-off company from University of Oulu. I worked there as a chief data scientist 2012-2019 and currently as a technical advisor.


My research interests and experties mainly lie at the intersection between machine learning, probabilistic modelling, and signal processing applied to autonomous and interacting artificial intelligent systems and data science. More specifically, I am interested in Bayesian inference, Gaussian processes, neural networks, spatio-temporal models, sensor fusion, multimodal and multiview learning, reinforcement learning, and uncertainty quantification, especially in small and limited data scenarios. In the application side, our group is interested in AI and machine learning for earth observations, health, energy systems, control, robotics, and distributed AI and 6G systems.


Spring 2022:

Artificial Intelligence, 521495A

Autumn 2021:

Multi-Modal Data Fusion, 521161S


Most recent publications:

Lauri Tuovinen, Jaakko Suutala (2021). Ontology-based Framework for Integration of Time Series Data: Application in Predictive Analytics on Data Center Monitoring Metrics. 13th International Conference on Knowledge Engineering and Ontology Development. pdf

C. De Lima et al. (2021). Convergent Communication, Sensing and Localization in 6G Systems: An Overview of Technologies, Opportunities and Challenges, in IEEE Access. Link.

Andre Bourdoux, Andre Noll Barreto, Barend van Liempd, Carlos de Lima, Davide Dardari, Didier Belot, Elana-Simona Lohan, Gonzalo Seco-Granados, Hadi Sarieddeen, Henk Wymeersch, Jaakko Suutala, Jani Saloranta, Maxime Guillaud, Minna Isomursu, Mikko Valkama, Muhammad Reza Kahar Aziz, Rafael Berkvens, Tachporn Sanguanpuak, Tommy Svensson, Yang Miao(2020). 6G White Paper on Localization and Sensing. arXiv preprint arXiv:2006.01779.

Samad Ali, Walid Saad, Nandana Rajatheva, Kapseok Chang, Daniel Steinbach, Benjamin Sliwa, Christian Wietfeld, Kai Mei, Hamid Shiri, Hans-Jürgen Zepernick, Thi My Chinh Chu, Ijaz Ahmad, Jyrki Huusko, Jaakko Suutala, Shubhangi Bhadauria, Vimal Bhatia, Rangeet Mitra, Saidhiraj Amuru, Robert Abbas, Baohua Shao, Michele Capobianco, Guanghui Yu, Maelick Claes, Teemu Karvonen, Mingzhe Chen, Maksym Girnyk, Hassan Malik (2020). 6G White Paper on Machine Learning in Wireless Communication Networks. arXiv preprint arXiv:2004.13875.

Alasalmi, Tuomo; Suutala, Jaakko; Koskimäki, Heli; Röning, Juha (2020). Better Classifier Calibration for Small Data Sets. ACM Transactions on Knowledge Discovery in Data. Accepted. arXiv preprint arXiv:2002.10199.

Alasalmi, Tuomo; Suutala, Jaakko; Koskimäki, Heli; Röning, Juha (2020). Better Multi-class Probability Estimates for Small Data Sets. arXiv preprint arXiv:2001.11242.

Full list of publications


Most recent talks:

Jaakko Suutala. AI and Machine Learning for Localization: An Overview and Future Perspectives. An International Symposium (Virtual Mode) on "Role of Localization/Positioning in 5G,IoT and E-Health", Nagpur (virtual symposium), India. Invited talk, 19th Feb 2021. Link to symposium. presentation (pdf)

Jaakko Suutala. Role of Machine Learning in Localization and Sensing. Localization and Sensing: Technologies, Opportunities and Challenges, Oulu, Finland. Invited talk, 18th Nov 2020. Link to webinar.


Curriculum Vitae: (pdf) (updated 23.02.2022)


Updated: 23.02.2022