Simo Särkkä

Simo Särkkä

Aalto-yliopisto

H-index: 44

Europe-Finland

About Simo Särkkä

Simo Särkkä, With an exceptional h-index of 44 and a recent h-index of 37 (since 2020), a distinguished researcher at Aalto-yliopisto, specializes in the field of multi-sensor data fusion, Bayesian filtering and smoothing, machine learning, medical technology, AI for health.

His recent articles reflect a diverse array of research interests and contributions to the field:

Utilizing U-Net Architectures with Auxiliary Information for Scatter Correction in CBCT Across Different Field-of-View Settings

Nesting Particle Filters for Experimental Design in Dynamical Systems

Quantum-Assisted Hilbert-Space Gaussian Process Regression

A Gibbs Sampler for Bayesian Nonparametric State-Space Models

Indoor Positioning Methods Based on Dual Feet-Mounted IMUs With Distance Constraints

Gaussian-Based Parametric Bijections for Automatic Projection Filters

Multidimensional projection filters via automatic differentiation and sparse-grid integration

Fast dynamic programming in trees in the mpc model

Simo Särkkä Information

University

Position

Associate Professor

Citations(all)

11657

Citations(since 2020)

7188

Cited By

7208

hIndex(all)

44

hIndex(since 2020)

37

i10Index(all)

118

i10Index(since 2020)

100

Email

University Profile Page

Aalto-yliopisto

Google Scholar

View Google Scholar Profile

Simo Särkkä Skills & Research Interests

multi-sensor data fusion

Bayesian filtering and smoothing

machine learning

medical technology

AI for health

Top articles of Simo Särkkä

Title

Journal

Author(s)

Publication Date

Utilizing U-Net Architectures with Auxiliary Information for Scatter Correction in CBCT Across Different Field-of-View Settings

arXiv preprint arXiv:2402.17397

Harshit Agrawal

Ari Hietanen

Simo Särkkä

2024/2/27

Nesting Particle Filters for Experimental Design in Dynamical Systems

arXiv preprint arXiv:2402.07868

Sahel Iqbal

Adrien Corenflos

Simo Särkkä

Hany Abdulsamad

2024/2/12

Quantum-Assisted Hilbert-Space Gaussian Process Regression

arXiv preprint arXiv:2402.00544

Ahmad Farooq

Cristian A Galvis-Florez

Simo Särkkä

2024/2/1

A Gibbs Sampler for Bayesian Nonparametric State-Space Models

Christos Merkatas

Simo Särkkä

2024/4/14

Indoor Positioning Methods Based on Dual Feet-Mounted IMUs With Distance Constraints

Xiaofeng Ma

Simo Särkkä

2023/9/25

Gaussian-Based Parametric Bijections for Automatic Projection Filters

IEEE Transactions on Automatic Control

Muhammad F Emzir

Zheng Zhao

Lahouari Cheded

Simo Särkkä

2023/12/8

Multidimensional projection filters via automatic differentiation and sparse-grid integration

Signal Processing

Muhammad Fuady Emzir

Zheng Zhao

Simo Särkkä

2023/3/1

Fast dynamic programming in trees in the mpc model

Chetan Gupta

Rustam Latypov

Yannic Maus

Shreyas Pai

Simo Särkkä

...

2023/6/17

Rao-Blackwellized Monte Carlo Data Association With Deep Metric For Object Tracking

Ajinkya Gorad

Simo Särkkä

2023/9/17

Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics

Arina Odnoblyudova

Caglar Hizli

ST John

Andrea Cognolato

Anne Juuti

...

2023/12/4

Probabilistic estimation of instantaneous frequencies of chirp signals

IEEE Transactions on Signal Processing

Zheng Zhao

Simo Särkkä

Jens Sjölund

Thomas B Schön

2023/2/16

On the convergence of numerical integration as a finite matrix approximation to multiplication operator

Calcolo

Juha Sarmavuori

Simo Särkkä

2023/6

Single Qubit State Estimation on NISQ Devices with Limited Resources and SIC-POVMs

Cristian A Galvis-Florez

Daniel Reitzner

Simo Särkkä

2023/9/17

Joint use of a low thermal resolution thermal camera and an RGB camera for respiration measurement

IEEE Transactions on Instrumentation and Measurement

Zaeed Khan

Matias Rusanen

Miika Arvonen

Timo Leppänen

Simo Särkkä

2023/11/28

Fourier–Hermite Dynamic Programming for Optimal Control

IEEE Transactions on Automatic Control

Syeda Sakira Hassan

Simo Särkkä

2023/1/4

System identification using autoregressive Bayesian neural networks with nonparametric noise models

Journal of Time Series Analysis

Christos Merkatas

Simo Särkkä

2023/5

Deep learning based projection domain metal segmentation for metal artifact reduction in cone beam computed tomography

IEEE Access

Harshit Agrawal

Ari Hietanen

Simo Särkkä

2023/9/13

Modelling pathwise uncertainty of Stochastic Differential Equations samplers via Probabilistic Numerics

arXiv preprint arXiv:2401.03338

Yvann Le Fay

Simo Särkkä

Adrien Corenflos

2023/11/23

Online pole segmentation on range images for long-term LiDAR localization in urban environments

Robotics and Autonomous Systems

Hao Dong

Xieyuanli Chen

Simo Särkkä

Cyrill Stachniss

2023/1/1

Vessel bearing estimation using visible and thermal imaging

Ajinkya Gorad

Sakira Hassan

Simo Särkkä

2023/4/18

See List of Professors in Simo Särkkä University(Aalto-yliopisto)

Co-Authors

H-index: 56
Simon Godsill

Simon Godsill

University of Cambridge

H-index: 55
Aki Vehtari

Aki Vehtari

Aalto-yliopisto

H-index: 55
Thomas Schön

Thomas Schön

Uppsala Universitet

H-index: 44
Janne Heikkilä

Janne Heikkilä

Oulun yliopisto

H-index: 43
Juho Kannala

Juho Kannala

Aalto-yliopisto

H-index: 39
Fa-Hsuan Lin

Fa-Hsuan Lin

University of Toronto

academic-engine