Apulaisprofessori (tenure track) Lassi Roininen

E-mail: Lassi.Roininen@lut.fi
Mobile phone: +358406754885
ORCID ID: orcid.org/0000-0002-7014-6684 (Go to ORCID profile)
CV:
Uploaded on: 22/03/2021

Current Organisation
Computational and Process Engineering (Superior organisation: LUT School of Engineering Science)

Biography
Lassi Roininen holds the position of Associate Professor (tenure track) in applied mathematics in LUT University, Finland. He is also a docent in applied mathematics at the University of Oulu, Finland. He develops rigorous numerical and computational tools for inverse problems with applications in near-space remote sensing, subsurface imaging, and X-ray tomography.

Publications
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Bayesian filtering in incoherent scatter plasma parameter fits (2021)
A1 Journal article (refereed), original research
Virtanen Ilkka I., Tesfaw Habtamu W., Roininen Lassi, et al.
Journal of Geophysical Research: Space Physics
A Bayesian-based approach to improving acoustic Born waveform inversion of seismic data for viscoelastic media (2020)
A1 Journal article (refereed), original research
Muhumuza Kenneth, Huttunen Janne, Roininen Lassi, et al.
Inverse Problems
Bayesian Quantification for Coherent Anti-Stokes Raman Scattering Spectroscopy (2020)
A1 Journal article (refereed), original research
Härkönen Teemu, Roininen Lassi, Moores Matthew T., et al.
Journal of Physical Chemistry B
Blind Hierarchical Deconvolution (2020)
A4 Conference proceedings
Arjas Arttu, Roininen Lassi, Sillanpää Mikko J, et al.
IEEE International Workshop On Machine Learning For Signal Processing
2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)
Enhancing industrial X-ray tomography by data-centric statistical methods (2020)
A1 Journal article (refereed), original research
Suuronen Jarkko, Emzir Muhammad, Lasanen Sari, et al.
Data-Centric Engineering
Multiobjective model-based optimization of diesel injection rate profile by machine learning methods (2020)
A4 Conference proceedings
Immonen Eero, Lauren Mika, Roininen Lassi, et al.
2020 IEEE International Systems Conference (SysCon)
Neural Network Based Identification of Fuel Injection Rate Profiles for Diesel Engines (2020)
A4 Conference proceedings
Immonen Eero, Lauren Mika, Roininen Lassi, et al.
2020 9th International Conference on Industrial Technology and Management (ICITM)
Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion (2020)
A1 Journal article (refereed), original research
Emzir Muhammad Fuady, Lasanen Sari J, Purisha Zenith, et al.
Inverse Problems
Posterior inference for sparse hierarchical non-stationary models (2020)
A1 Journal article (refereed), original research
Monterrubio-Gómez Karla, Roininen Lassi, Wade Sara, et al.
Computational Statistics and Data Analysis
Accelerated Whole-Core Analysis Optimization With Wellsite Tomography Instrumentation and Bayesian Inversion (2019)
A1 Journal article (refereed), original research
Mendoza Alberto, Roininen Lassi, Girolami Mark, et al.
Petrophysics



Keywords
Incoherent scatter radar
Inverse problems
Random fields
Subsurface imaging
Tomography

Last updated on 2021-22-03 at 19:49