The Present and Future of Indoor Navigation

is a professor in computer science at the University of Helsinki. She leads a research group in spatiotemporal data analysis for sustainability science (SDA) which does research on estimation and machine learning methods using spatiotemporal data. She has a long research career in the navigation field including GNSS and sensor fusion for urban and indoor environments, computer vision, and analysis of GNSS signal characteristics and GNSS interference mitigation. She is a member of the steering group of the Finnish Center for AI (FCAI). She received her master's degree from the Department of Computer Science, University of Helsinki in 2003 and doctoral degree in 2013 from the Department of Pervasive Computing, Tampere University of Technology. Her doctoral research was partly done at the University of Calgary, Canada.

is currently a university lecturer at the Unit of Electrical Engineering in Tampere University, Finland, working in the field of wireless communications, radio positioning and radio-based sensing, particularly focusing on 5G NR and future wireless networks. He has more than 80 international peer-reviewed scientific publications, including journals, conference proceedings and book chapters. In addition, he has contributed to more than 20 patents or patent applications and has acquired extensive experience in working in industry, such as in Nokia, HERE technologies and Renesas. He has supervised more than 25 BSc/MSc students, and more than 5 PhD students. He is currently leading research projects with positioning emphasis funded by ESA (European Space Agency) and Academy of Finland. His research interests include signal processing for wireless communications, network-based positioning methods, radio-based sensing and mapping, simultaneous localization and mapping (SLAM), device tracking and filtering methods, and machine-learning methods for wireless communications, positioning and sensing.