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/...

Kontakuppgifter

Telefonnummer
+358505124393

Utmärkelser

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

Forskningsgrupp

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

Publikationer

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

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

Vessel Bearing Estimation Using Visible and Thermal Imaging

Ajinkya Gorad, Syeda Sakira Hassan, Simo Särkkä 2023 Image Analysis - 23rd Scandinavian Conference, SCIA 2023, Proceedings

Fast Dynamic Programming in Trees in the MPC Model

Chetan Gupta, Rustam Latypov, Yannic Maus, Shreyas Pai, Simo Särkkä, Jan Studený, Jukka Suomela, Jara Uitto, Hossein Vahidi 2023 SPAA 2023 - Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures

Fourier-Hermite Dynamic Programming for Optimal Control

Syeda Sakira Hassan, Simo Sarkka 2023 IEEE Transactions on Automatic Control