Simo Särkkä
Department of Electrical Engineering and Automation

Simo Särkkä

Professor (Associate Professor)

Contact information

Postal address
Otakaari 3 / Rakentajanaukio 2 c
Mobile phone
+358505124393
Full researcher profile
https://research.aalto.fi/...

Description

Dr. Särkkä is an Associate Professor in Sensor informatics and medical technology at the Department of Electrical Engineering and Automation (EEA) at Aalto University. His research interests are in multi-sensor data processing systems with applications in location sensing, health and medical technology, machine learning, inverse problems, and brain imaging.

Honors and awards

Award or honor granted for academic career
Department of Electrical Engineering and Automation
Jan 2014

Winner of the 1st Prize for Reproducibility in Signal Processing by soundsoftware.ac.uk, awarded at Machine Learning for Signal Processing (MLSP) Conference 2014 Winner of the 1st Prize for Reproducibility in Signal Processing by soundsoftware.ac.uk, awarded at Machine Learning for Signal Processing (MLSP) Conference 2014.

Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Jan 2004

Winner of the IJCNN Time Series Prediction Competition - The CATS Benchmark (together with Vehtari & Lampinen) Winner of the IJCNN Time Series Prediction Competition - The CATS Benchmark (together with Vehtari & Lampinen), 2004 (24 international contestants).

Award or honor granted for a specific work
Professorship Rousu J.
Dec 2017

Best paper finalist and runner-up award, Computer Track The first IEEE Life Sciences Conference (LSC), best paper finalist and runner up award for the Computer track for the paper "Prediction of major complications affecting very low birth weight infants" by Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, Krista Rantakari and Sture Andersson

Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Jan 2016

The best student paper award winner The best student paper award winner for paper "Jakub Prüher and Simo Särkkä (2016). On The Use Of Gradient Information In Gaussian Process Quadratures. In Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP)."

Award or honor granted for a specific work
School common, ELEC
Jul 2016

Tammy L. Blair Best Student Paper Award, First Runner-Up

Award or honor granted for a specific work
Department of Electrical Engineering and Automation
Jul 2017

Tammy L. Blair Best Student Paper Award, First Runner-Up

Research groups

Helsinki Institute for Information Technology HIIT
Sensor Informatics and Medical Technology

Publications

Sensor Informatics and Medical Technology, Department of Electrical Engineering and Automation

Iterated Extended Kalman Smoother-Based Variable Splitting for L-1-Regularized State Estimation

Publishing year: 2019 IEEE Transactions on Signal Processing
Sensor Informatics and Medical Technology, Department of Electrical Engineering and Automation, Helsinki Institute for Information Technology HIIT

Probabilistic approach to limited-data computed tomography reconstruction

Publishing year: 2019 Inverse Problems
Department of Electrical Engineering and Automation, Sensor Informatics and Medical Technology

Gaussian Target Tracking With Direction-of-Arrival von Mises–Fisher Measurements

Publishing year: 2019 IEEE Transactions on Signal Processing
Department of Electrical Engineering and Automation, Sensor Informatics and Medical Technology

Numerical integration as a finite matrix approximation to multiplication operator

Publishing year: 2019 Journal of Computational and Applied Mathematics
Department of Electrical Engineering and Automation, Sensor Informatics and Medical Technology

Iterative statistical linear regression for Gaussian smoothing in continuous-time non-linear stochastic dynamic systems

Publishing year: 2019 Signal Processing
Department of Electrical Engineering and Automation, Sensor Informatics and Medical Technology

Gaussian process classification using posterior linearization

Publishing year: 2019 IEEE Signal Processing Letters
Department of Electrical Engineering and Automation, Sensor Informatics and Medical Technology

Rao-Blackwellized Posterior Linearization Backward SLAM

Publishing year: 2019 IEEE Transactions on Vehicular Technology
Department of Electronics and Nanoengineering, Ville Viikari Group, Department of Electrical Engineering and Automation, Sensor Informatics and Medical Technology, Helsinki Institute for Information Technology HIIT

Millimeter-wave imaging method based on frequency-diverse subarrays

Publishing year: 2019 GSMM 2019 - 12th Global Symposium on Millimeter Waves, Proceeding
Sensor Informatics and Medical Technology, Department of Electrical Engineering and Automation

Updates in Bayesian Filtering by Continuous Projections on a Manifold of Densities

Publishing year: 2019 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
Department of Electrical Engineering and Automation, Sensor Informatics and Medical Technology, Professorship Solin A., Department of Computer Science

Applied Stochastic Differential Equations

Publishing year: 2019