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 embedded systems and softwares from the University of Oulu in 2004 and 2012, respectively. Furthermore, I have co-founded IndoorAtlas Ltd., indoor positioning spin-off company from University of Oulu, 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 intelligent systems and data science. More specifically, I am interested in deep hierarchical models, Gaussian processes, spatio-temporal models, sensor fusion, multimodal and multiview learning, uncertainty quantification, context and location sensing, localization systems, computer vision, environmental monitoring, wireless communication systems, and robotics.


Spring 2021:

Artificial Intelligence, 521495A

Fall 2020:

Multi-Modal Data Fusion, 521161S


Most recent publications:

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


Curriculum Vitae: ( ps | pdf) (updated 24.10.2019)


Updated: 02.02.2021