Our group consists of people enthusiastic in developing groundbreaking estimation, machine learning, computer vision and signal processing algorithms for creating accurate and reliable navigation and other methods based on artificial intelligence for sustainable smart cities.
Dr. Laura Ruotsalainen is an Associate Professor of Spatiotemporal Data Analysis for Sustainability Science at the Department of Computer Science at the University of Helsinki, Finland. Until August 2018 she worked at the Finnish Geospatial Research Institute, Finland, where she led a research group on Sensors and Indoor Navigation. 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 research interests include use of computer vision in navigation, development of sophisticated Global Navigation Satellite Systems (GNSS) and sensor fusion methods for robust navigation and situational awareness especially in urban areas and for GNSS interference mitigation. Her interests include also development of machine learning algorithms using spatiotemporal data for creating sustainable smart cities.
A.F.M. Saifuddin Saif received Ph.D. from Center for Artificial Intelligence and Technology (CAIT), Department of Industrial Computer, Faculty of Information Science and Technology, University Kebangsaan Malaysia (UKM) – The National University of Malaysia. He received “Outstanding Researcher and Graduate on Time Award (G.O.T.)” from Center for Artificial Intelligence and Technology (CAIT) for his outstanding PhD research. He received M.Sc. in Computer System Engineering (Software System) from School of Architecture, Computing and Engineering (ACE), University of East London, UK. Most of his contributions in Computer Vision were published in ISI indexed Journals; Scopus indexed Journals, Book Chapters, Conferences, and Proceedings. His research interests include Computer Vision, Image Processing, Artificial Intelligence, 3D Reconstruction, and Medical Image Processing.
Ghazaleh Kia is a doctoral student of the Spatiotemporal data analysis research group at the department of computer science, University of Helsinki. She has completed both her bachelor and master studies in the field of Electrical Engineering focusing on algorithms and Wireless Sensor Networks. Her current research mainly focuses on 5G positioning and cooperative positioning using both 5G and UWB signals for autonomous driving. Ghazaleh’s interests embrace the wide spectrum of computer science including networks, machine learning, programming languages, image processing, algorithms, and databases. Ghazaleh is also interested in sensors and microcontrollers.
Titti Malmivirta is a PhD student at the department of Computer Science. Her research concentrates on developping deep learning methods for GNSS resilience. She is working in the Reason (AoF) and Arfidaas II (ESA) projects.
Zhe Yan received his bachelor degree in the field of measurement, control and instrumentation from Southeast University, Nanjing, China, in 2016. He is currently a doctoral student with School of Instrument Science and Engineering, Southeast University. His research interests include GNSS receiver techniques, GNSS/INS deeply coupled navigation, optimal estimation and filtering. He is now with Spatiotemporal data analysis research group at the department of computer science, University of Helsinki as a visiting student.
Sergey Nikolskiy is a doctoral student at the Department of Computer Science at the University of Helsinki, Finland. He received his master's degree in Applied Mathematics from Saint-Petersburg State Electrotechnical University in Russia in 2005. His current research is focused on GNSS positioning, sensor fusion and maritime navigation. His area of interest includes software GNSS receivers, improving accuracy, detection and mitigation of errors as well as development of spatial data processing algorithms, creation of derivative data products and visualization of spatial data. At the moment he works at the Finnish Geospatial Research Institute, Finland, in the Satellite and Radio Navigation research group. Before that he had been a software developer dealing mostly with Java and PostgreSQL in GIS-related projects. His PhD research is jointly supervised by Assoc. Prof. Ruotsalainen and PhD Zahidul Bhuiyan from the FGI.
Anna Brauer is a doctoral student in the Department of Computer Science at the University of Helsinki. She graduated with a master's level degree in computer science (Dipl.-Inf.) from the Dresden University of Technology, Germany. Her current research focuses on the development of location privacy-enhancing methods for human mobility traces. She works at the Finnish Geospatial Research Institute (FGI) in the Department of Geoinformatics and Cartography. Her interests include big data and mobility analytics, algorithm development, machine learning, and data visualization. Her PhD research is jointly supervised by Assoc. Prof. Ruotsalainen and Professor Juha Oksanen from the FGI.
SDA group at the Indoor Navigation seminar (INTO) 2019 arranged by HiDATA and FGI.