I'm interested in computational self-learning systems that can sense their environment through a number of sensors and build meaningful representations of the sensory data in the absence of human supervision. I'm especially interested in the question how human infants learn their language by simply interacting with their environment. In addition to speech processing, my interests include the development of statistical learning and data analytics tools for all types of complex sensory data, also in case of multiple parallel data streams. As an example, I have experience with processing of audio-, EEG-, accelerometer-, and magnetic field signals. I have also experience with the prediction of electricity production, transfer, and consumption data. Currently, I'm doing research and managing our projects "From Data to Intelligence" (D2I) SHOK project funded by Tekes and "Computational Modeling of Language Acquisition" funded by the Academy of Finland.
Specialties: speech processing, sensory data analytics, machine learning, cognitive science