Special Seminar: Arno Solin "Learning in time-dependent data and models"
Department of Computer Science
Wednesday 23.5.2018 at 13:00 in TUAS 1171-72, Maarintie 8
Title: Learning in time-dependent data and models
Arno Solin received his M.Sc. (Tech.) degree (with distinction) in Engineering Physics and Mathematics and D.Sc. (Tech.) degree (with distinction) in Computational Science from Aalto University, Finland, in 2012 and 2016, respectively. Dr. Solin is an Academy of Finland Postdoctoral Researcher with Aalto University, and Technical Advisor of IndoorAtlas Ltd. Currently he is a Visiting Research Fellow with the Department of Engineering, University of Cambridge. He has published over 20 peer-reviewed scientific papers, and is a winner of several hackathons and competitions in mathematical modelling, including the 2014 Schizophrenia Classification Challenge on Kaggle. His primary research interests are in probabilistic machine learning with applications in sensor fusion for tracking and navigation, brain imaging, and spatio-temporal modelling.