Research output per year
Research output per year
Personal profile
Artistic and research interests
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.
Education/Academic qualification
Doctor of Science (Technology), Engineering Physics, Teknillinen korkeakoulu
Award Date: 25 Apr 2006
Master of Science (Technology), Engineering Physics, Teknillinen korkeakoulu
Award Date: 14 Nov 2000
Fingerprint
Dive into the research topics where Simo Särkkä is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Network
Recent external collaboration on country level. Dive into details by clicking on the dots or
Research output
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Temporal Parallelization of Bayesian Smoothers
Särkkä, S. & Garcıa-Fernandez, A. F., Jan 2021, In : IEEE Transactions on Automatic Control. 66, 1, p. 299-306 8 p., 9013038.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
A survey of Monte Carlo methods for parameter estimation
Luengo, D., Martino, L., Bugallo, M., Elvira, V. & Särkkä, S., 29 May 2020, In : Eurasip Journal on Advances in Signal Processing. 2020, 1, 62 p., 25.Research output: Contribution to journal › Review Article › Scientific › peer-review
Open AccessFile -
Augmented sigma-point lagrangian splitting method for sparse nonlinear state estimation
Gao, R. & Särkkä, S., 2020, 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings. EURASIP, p. 2090-2094 5 p. 9287731Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile -
Gaussian mixture models for signal mapping and positioning
Raitoharju, M., García-Fernández, Á. F., Hostettler, R., Piché, R. & Särkkä, S., 1 Mar 2020, In : Signal Processing. 168, 11 p., 107330.Research output: Contribution to journal › Article › Scientific › peer-review
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Importance Densities for Particle Filtering Using Iterated Conditional Expectations
Hostettler, R., Tronarp, F., Garcia-Fernandez, A. F. & Sarkka, S., 1 Jan 2020, In : IEEE Signal Processing Letters. 27, p. 211-215 5 p., 8951063.Research output: Contribution to journal › Article › Scientific › peer-review
Projects
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ADAFUME: Advanced data fusion methods for environmental modeling
Gao, R., Corenflos, A., Särkkä, S. & Raitoharju, M.
01/01/2020 → 31/12/2023
Project: Academy of Finland: Other research funding
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Parallel and distributed computing for Bayesian graphical models
Särkkä, S., Emzir, M., Hassan, S. & Yaghoobi, F.
04/09/2019 → 31/12/2022
Project: Academy of Finland: Other research funding
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Multispectral photon-counting for medical imaging and beam characterization
Särkkä, S., Gao, R., Sarmavuori, J., Hassan, S. & Emzir, M.
01/01/2018 → 31/12/2021
Project: Academy of Finland: Other research funding
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Profi2 Särkkä T41000
01/01/2019 → 31/08/2020
Project: Academy of Finland: Competitive funding to strengthen university research profiles
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AI methods for preterm infants
Jaskari, J., Palva, L. & Särkkä, S.
01/01/2019 → 30/06/2019
Project: Business Finland: Other research funding
Datasets
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CT Data of a Pen-Spring: Application to Under-Sampled Dynamic X-ray Tomography
Juurakko, J. (Creator), Purisha, Z. (Creator) & Särkkä, S. (Creator), 3 Jul 2019
Dataset
Prizes
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Best paper finalist and runner-up award, Computer Track
Hollmen, Jaakko (Recipient), Särkkä, Simo (Recipient) & Rinta-Koski, Olli-Pekka (Recipient), 15 Dec 2017
Prize: Award or honor granted for a specific work
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Tammy L. Blair Best Student Paper Award, First Runner-Up
Filip Tronarp (Recipient), Roland Hostettler (Recipient) & Särkkä, Simo (Recipient), 7 Jul 2016
Prize: Award or honor granted for a specific work
File -
Tammy L. Blair Best Student Paper Award, First Runner-Up
Jakub Prüher (Recipient), Filip Tronarp (Recipient), Toni Karvonen (Recipient), Särkkä, Simo (Recipient) & Ondrej Straka (Recipient), 13 Jul 2017
Prize: Award or honor granted for a specific work
File -
The best student paper award winner
Särkkä, Simo (Recipient), 2016
Prize: Award or honor granted for a specific work
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Winner of the 1st Prize for Reproducibility in Signal Processing by soundsoftware.ac.uk, awarded at Machine Learning for Signal Processing (MLSP) Conference 2014
Särkkä, Simo (Recipient), 2014
Prize: Award or honor granted for academic career
Activities
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IEEE International Workshop on Machine Learning for Signal Processing
Simo Särkkä (Member)
21 Sep 2020 → 24 Sep 2020Activity: Participating in or organising an event types › Chair of conference, workshop, panel, session or tutorial
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PhD assessment committee member in a thesis, Technical University of Denmark
Simo Särkkä (Member)
2017Activity: Examination types › Pre-examination of dissertation or acting as opponent to doctoral students
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IEEE Finland CSS/RAS/SMCS Joint chapter (External organisation)
Simo Särkkä (Chair)
2017 → 2018Activity: Membership types › Position of trust in a society or network
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PhD graduation committee member, Linköping University, Sweden
Simo Särkkä (Member)
2017Activity: Examination types › Pre-examination of dissertation or acting as opponent to doctoral students
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Chair of Evaluation Committee in the International Accreditation of the EE Program of University of Sarajevo
Simo Särkkä (Chair)
Jul 2016Activity: Examination types › Evaluation of activities
Press / Media
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Professori Simo Särkkä kutsuttu Instrumentariumin Tiedesäätiön hallitukseen
03/07/2020
1 item of Media coverage
Press/Media: Media appearance
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Tallink Grupp’s ship Megastar will take part in research project for autonomous ships
04/02/2019 → 06/02/2019
2 items of Media coverage
Press/Media: Media appearance
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Autonomous shipping project tries multiple sensors enhancing safety
05/02/2019
1 item of Media coverage
Press/Media: Media appearance
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Autonomous Shipping Project to Trial Sensor Technology
05/02/2019
1 item of Media coverage
Press/Media: Media appearance