Simo Särkkä
Department of Electrical Engineering and Automation

Simo Särkkä

Professor (Associate Professor)

Kontakt information

Postadress
Otakaari 3 / Rakentajanaukio 2 c
Mobile phone
+358505124393
Full researcher profile
https://research.aalto.fi/...

Beskrivning

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.

Utmärkelser

Award or honor granted for academic career
Department of Electrical Engineering and Automation
Jan 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 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 a specific work
Department of Electrical Engineering and Automation
Jan 2004

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
Professorship Rousu J.
Dec 2017

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
Department of Electrical Engineering and Automation
Jan 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
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

Tammy L. Blair Best Student Paper Award, First Runner-Up

Forskargrupper

Helsinki Institute for Information Technology HIIT
Sensor Informatics and Medical Technology

Publikationer

Sensor Informatics and Medical Technology, Department of Electrical Engineering and Automation
Publishing year: 2020 IEEE Signal Processing Letters
Sensor Informatics and Medical Technology, Department of Electrical Engineering and Automation
Publishing year: 2020 ADVANCES IN COMPUTATIONAL MATHEMATICS
Sensor Informatics and Medical Technology, Department of Electrical Engineering and Automation
Publishing year: 2020 Signal Processing
Communication Engineering, Department of Communications and Networking, Sensor Informatics and Medical Technology, Department of Electrical Engineering and Automation
Publishing year: 2020 IEEE Transactions on Mobile Computing
Sensor Informatics and Medical Technology, Department of Electrical Engineering and Automation
Publishing year: 2020 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020
Sensor Informatics and Medical Technology, Department of Electrical Engineering and Automation
Publishing year: 2019 Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019
Sensor Informatics and Medical Technology, Department of Electrical Engineering and Automation
Publishing year: 2019 IEEE Transactions on Signal Processing
Sensor Informatics and Medical Technology, Department of Electrical Engineering and Automation
Publishing year: 2019 Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019
Department of Electrical Engineering and Automation, Sensor Informatics and Medical Technology
Publishing year: 2019 IEEE Signal Processing Letters
Department of Electrical Engineering and Automation, Sensor Informatics and Medical Technology
Publishing year: 2019 IEEE Transactions on Signal Processing