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/...

Contact information

Phone number
+358505124393

Honors and awards

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

Research groups

  • Helsinki Institute for Information Technology (HIIT)
  • Sensor Informatics and Medical Technology

Publications

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