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 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

Guest Editorial

Simo Särkkä, Lassi Roininen, Manon Kok, Roland Hostettler, Andreas Hauptmann 2022 Journal of Signal Processing Systems

Temporal Parallelisation of Dynamic Programming and Linear Quadratic Control

Simo Särkkä, Angel F. Garcia-Fernandez 2022 IEEE Transactions on Automatic Control

Sensors and AI Techniques for Situational Awareness in Autonomous Ships

Sarang Thombre, Zheng Zhao, Henrik Ramm-Schmidt, Jose M. Vallet Garcia, Tuomo Malkamäki, Sergey Nikolskiy, Toni Hammarberg, Hiski Nuortie, M. Zahidul H. Bhuiyan, Simo Särkkä, Ville V. Lehtola 2022 IEEE Transactions on Intelligent Transportation Systems

Non-linear Gaussian smoothing with Taylor moment expansion

Zheng Zhao, Simo Särkkä 2022 IEEE Signal Processing Letters

MLSP 2020 Special Issue

Simo Särkkä, Lassi Roininen, Manon Kok, Roland Hostettler, Andreas Hauptmann 2022 Journal of Signal Processing Systems

Gaussian Approximations of SDES in Metropolis-Adjusted Langevin Algorithms

Simo Särkkä, Christos Merkatas, Toni Karvonen 2021 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing, MLSP 2021

Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering

Zheng Zhao, Toni Karvonen, Roland Hostettler, Simo Särkkä 2021 IEEE Transactions on Automatic Control

Deep state-space Gaussian processes

Zheng Zhao, Muhammad Emzir, Simo Särkkä 2021 STATISTICS AND COMPUTING

Parallel iterated extended and sigma-point Kalman smoothers

Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä 2021 Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021

Bayesian ODE solvers

Filip Tronarp, Simo Särkkä, Philipp Hennig 2021 STATISTICS AND COMPUTING