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: 09/10/2020

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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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.
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
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)
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
Cauchy difference priors for edge-preserving Bayesian inversion (2019)
A1 Journal article (refereed), original research
Markkanen Markku, Roininen Lassi, Huttunen Janne M J, et al.
Journal of Inverse and Ill-posed Problems
Hyperpriors for Matérn fields with applications in Bayesian inversion (2019)
A1 Journal article (refereed), original research
Roininen Lassi, Girolami Mark, Lasanen Sari, et al.
Inverse Problems and Imaging
Statistical methods to enable practical on-site tomographic imaging of whole-core samples (2019)
A1 Journal article (refereed), original research
Mendoza Alberto, Roininen Lassi, Girolami Mark, et al.
Geophysics



Keywords
Incoherent scatter radar
Inverse problems
Random fields
Subsurface imaging
Tomography

Last updated on 2020-09-10 at 01:18