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/...
Palkinnot
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.
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Sähkötekniikan ja automaation laitos
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).
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Sähkötekniikan ja automaation laitos
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
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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)."
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Sähkötekniikan ja automaation laitos
Jan 2016
Tammy L. Blair Best Student Paper Award, First Runner-Up
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Koulun yhteiset
Jul 2016
Tammy L. Blair Best Student Paper Award, First Runner-Up
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Sähkötekniikan ja automaation laitos
Jul 2017
Tutkimusryhmät
- Helsinki Institute for Information Technology (HIIT)
- Sensor Informatics and Medical Technology
Julkaisut
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
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
Multidimensional projection filters via automatic differentiation and sparse-grid integration
Muhammad Fuady Emzir, Zheng Zhao, Simo Särkkä
2022
Signal Processing
Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification
Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Sarkka, Leo Karkkainen, Kustaa Hietala, Kimmo K. Kaski
2022
IEEE Access
Multispectral photon-counting for medical imaging and beam characterization — A project review
S. Kirschenmann, M. Bezak, S. Bharthuar, E. Brücken, M. Emzir, M. Golovleva, A. Gädda, M. Kalliokoski, A. Karadzhinova-Ferrer, A. Karjalainen, P. Koponen, N. Kramarenko, P. Luukka, J. Ott, H. Petrow, T. Siiskonen, S. Särkkä, J. Tikkanen, R. Turpeinen, A. Winkler
2022
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
System identification using autoregressive Bayesian neural networks with nonparametric noise models
Christos Merkatas, Simo Särkkä
2022
Journal of Time Series Analysis
Posterior linearisation filter for non-linear state transformation noises
Matti Raitoharju, Roland Hostettler, Simo Sarkka
2022
2022 25th International Conference on Information Fusion, FUSION 2022
Guest Editorial
Simo Särkkä, Lassi Roininen, Manon Kok, Roland Hostettler, Andreas Hauptmann
2022
Journal of Signal Processing Systems