Simo Särkkä
Associate Professor
Associate Professor
T410 Dept. Electrical Engineering and Automation
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.
Full researcher profile
https://research.aalto.fi/...
Utmärkelser
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 academic or artistic career
Department of Electrical Engineering and Automation
Jan 2014
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
Department of Electrical Engineering and Automation
Jan 2004
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
Professorship Rousu Juho
Dec 2017
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
Department of Electrical Engineering and Automation
Jan 2016
Tammy L. Blair Best Student Paper Award, First Runner-Up
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
Forskningsgrupp
- Helsinki Institute for Information Technology (HIIT)
- Sensor Informatics and Medical Technology
Publikationer
Online pole segmentation on range images for long-term LiDAR localization in urban environments
Hao Dong, Xieyuanli Chen, Simo Särkkä, Cyrill Stachniss
2023
Robotics and Autonomous Systems
Multidimensional projection filters via automatic differentiation and sparse-grid integration
Muhammad Fuady Emzir, Zheng Zhao, Simo Särkkä
2023
Signal Processing
Fourier-Hermite Dynamic Programming for Optimal Control
Syeda Sakira Hassan, Simo Sarkka
2023
IEEE Transactions on Automatic Control
On the convergence of numerical integration as a finite matrix approximation to multiplication operator
Juha Sarmavuori, Simo Särkkä
2023
CALCOLO
Temporal Parallelization of Dynamic Programming and Linear Quadratic Control
Simo Särkkä, Angel F. Garcia-Fernandez
2023
IEEE Transactions on Automatic Control
Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals
Zheng Zhao, Simo Sarkka, Jens Sjolund, Thomas B. Schon
2023
IEEE Transactions on Signal Processing
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
Adrien Corenflos, Simo Särkkä, Nicolas Chopin
2022
Journal of Machine Learning Research
Temporal Gaussian Process Regression in Logarithmic Time
Adrien Corenflos, Zheng Zhao, Simo Sarkka
2022
2022 25th International Conference on Information Fusion, FUSION 2022
Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors
Muhammad F. Emzir, Niki A. Loppi, Zheng Zhao, Syeda S. Hassan, Simo Sarkka
2022
2022 25th International Conference on Information Fusion, FUSION 2022
Sound-source position tracking from direction-of-arrival measurements: Application to distributed first-order spherical microphone arrays
Christoph Hold, Archontis Politis, Simo Särkkä
2022
ICA 2022 Proceedings