Simo Särkkä
Professor
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/...
Email
[email protected]
Phone number
+358505124393
Honors and awards
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
Award or honor granted for a specific work
School common, ELEC
Jul 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
Department of Electrical Engineering and Automation
Jan 2016
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
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
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
Research groups
- Helsinki Institute for Information Technology (HIIT)
- Sensor Informatics and Medical Technology
Publications
Utilizing U-Net Architectures with Auxiliary Information for Scatter Correction in CBCT Across Different Field-of-View Settings
Harshit Agrawal, Ari Hietanen, Simo Särkkä
2024
Medical Imaging 2024: Physics of Medical Imaging
Quantum-assisted Hilbert-space Gaussian process regression
Ahmad Farooq, Cristian A. Galvis-Florez, Simo Särkkä
2024
Physical Review A
Joint use of a low thermal resolution thermal camera and an RGB camera for respiration measurement
Zaeed Khan, Matias Rusanen, Miika Arvonen, Timo Leppanen, Simo Sarkka
2024
IEEE Transactions on Instrumentation and Measurement
A Gibbs Sampler for Bayesian Nonparametric State-Space Models
Christos Merkatas, Simo Särkkä
2024
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Deep learning based projection domain metal segmentation for metal artifact reduction in cone beam computed tomography
Harshit Agrawal, Ari Hietanen, Simo Sarkka
2023
IEEE Access
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
Gaussian-Based Parametric Bijections for Automatic Projection Filters
Muhammad F. Emzir, Zheng Zhao, Lahouari Cheded, Simo Sarkka
2023
IEEE Transactions on Automatic Control
Multidimensional projection filters via automatic differentiation and sparse-grid integration
Muhammad Fuady Emzir, Zheng Zhao, Simo Särkkä
2023
Signal Processing
Single Qubit State Estimation on NISQ Devices with Limited Resources and SIC-POVMs
Cristian A. Galvis-Florez, Daniel Reitzner, Simo Särkkä
2023
Proceedings - 2023 IEEE International Conference on Quantum Computing and Engineering, QCE 2023
Rao-Blackwellized Monte Carlo Data Association With Deep Metric For Object Tracking
Ajinkya Gorad, Simo Särkkä
2023
Proceedings of the 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing, MLSP 2023