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Timo Lähivaara

Timo Lähivaara

Associate Professor

Department of Technical Physics, Faculty of Science, Forestry and Technology

[email protected] | +358 40 355 2061

Information Publications

Research groups

Inverse Problems research group 01.01.2010 -

Keywords

bayesian approximation error modelling bayesian methods discontinuous Galerkin method finite element method inverse problems mathematical modelling scientific computing seismic imaging tomography ultrasound uncertainty quantification

Publications

85/85 items

Simultaneous estimation of electrical conductivity and permittivity in quantitative thermoacoustic tomography
Sahlström, Teemu; Lähivaara, Timo; Tarvainen, Tanja. 2025. Inverse problems. 41: A1 Journal article (refereed), original research
A High-Order Ultra-Weak Variational Formulation for Electromagnetic Waves Utilizing Curved Elements
Lähivaara, Timo; Hall, William F; Malinen, Matti; Ota, Dale; Shankar, Vijaya; Monk, Peter. 2024. IEEE transactions on antennas and propagation. 72: 4440-4453 A1 Journal article (refereed), original research
Bayesian reconstruction of surface shape from phaseless scattered acoustic data
Johnson, Michael-David; Cuenca, Jacques; Lähivaara, Timo; Dolcetti, Giulio; Alkmim, Mansour; De Ryck, Laurent; Krynkin, Anton. 2024. Journal of the acoustical society of america. 156: 4024-4036 A1 Journal article (refereed), original research
Combination of Lidar Intensity and Texture Features Enable Accurate Prediction of Common Boreal Tree Species With Single Sensor UAS Data
Kukkonen, Mikko; Lähivaara, Timo; Packalen, Petteri. 2024. IEEE transactions on geoscience and remote sensing. 62: 1-8 A1 Journal article (refereed), original research
Deep learning-assisted dual-modal tomography for phase flow rate estimation in two-phase oil-water flow systems
Arif, M Ziaul; Lähivaara, Timo; Vauhkonen, Marko. 2024. Measurement science and technology. 35: A1 Journal article (refereed), original research
Monitoring of water volume in a porous reservoir using seismic data: A 3D simulation study
Khalili, M; Göransson, P; Hesthaven, JS; Pasanen, A; Vauhkonen, M; Lähivaara, T. 2024. Journal of applied geophysics. 229: A1 Journal article (refereed), original research
Post-process correction improves the accuracy of satellite PM2.5 retrievals
Porcheddu, Andrea; Kolehmainen, Ville; Lähivaara, Timo; Lipponen, Antti. 2024. Atmospheric measurement techniques. 17: 5747-5764 A1 Journal article (refereed), original research
Uncertainty Quantification in Groundwater Volume Predictions from Seismic Data Using Neural Networks
Khalili, M; Göransson, P; Hesthaven, JS; Heinonen, S; Pasanen, A; Vauhkonen, M; Lähivaara, T. Teoksessa: (toim.) , 2024. NSG 2024 30th European Meeting of Environmental and Engineering Geophysics. s. 1-5. European association of geoscientists and engineers A4 Conference proceedings
A 3D Simulation Study for Monitoring Water Content in a Porous Storage
Khalili, M; Göransson, P; Hesthaven, J S; Pasanen, A; Vauhkonen, M; Lähivaara, T. Teoksessa: (toim.) , 2023. 84th EAGE Annual Conference and Exhibition. s. 1-5. D3 Professional conference proceedings
A Statistical Inverse Method for the Reconstruction of Rough Surfaces from Acoustic Scattering
Cuenca, Jacques; Lähivaara, Timo; Johnson, Michael David; Dolcetti, Giulio; Alkmim, Mansour; De Ryck, Laurent; Krynkin, Anton. Teoksessa: Astolfi, Arianna; Asdrubali, Francesco; Shtrepi, Louena(toim.) , 2023. Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023. s. 3583-3584. European Acoustics Association A4 Conference proceedings
COMPOSTI: A Python-based program for seismic trans-dimensional inversion
Niskanen, Matti; Lähivaara, Timo. 2023. SoftwareX. 21: A1 Journal article (refereed), original research
Monitoring of water table level and volume of water in a porous storage by seismic data
Lähivaara, T; Göransson, P; Heinonen, S; Bojan, B; Hesthaven, JS; Khalili, M; Pasanen, A; Yadav, R; Vauhkonen, M. Teoksessa: (toim.) , 2023. 29th European Meeting of Environmental and Engineering Geophysics, Held at Near Surface Geoscience Conference and Exhibition 2023, NSG 2023. s. 131-134. Curran associates A4 Conference proceedings
Perceived difficulty of upwind shouting is a misconception explained by convective attenuation effect
Pulkki, Ville; Daugintis, Rapolas; Lähivaara, Timo; Öyry, Aleksi. 2023. Scientific reports. 13: . 5240 A1 Journal article (refereed), original research
Transport Efficiency of Delivery Trucks: A Study of Coupling Vehicle Design and Transport System through Functional Modelling and Optimisation
Shahrezaei, Khashayar; O'Reilly, Ciarán J; Lähivaara, Timo; Göransson, Peter. Teoksessa: (toim.) , 2023. . s. 3631-3640. Cambridge University Press A4 Conference proceedings
A Review on Fast Tomographic Imaging Techniques and Their Potential Application in Industrial Process Control
Hampel, Uwe; Babout, Laurent; Banasiak, Robert; Schleicher, Eckhard; Soleimani, Manuchehr; Wondrak, Thomas; Vauhkonen, Marko; Lähivaara, Timo; Tan, Chao; Hoyle, Brian; Penn, Alexander. 2022. Sensors. 22: A2 Review article, Literature review, Systematic review
Bayesian recovery of sinusoidal rough surface from scattered acoustic pressure on a linear microphone array
Johnson, Michael David; Lähivaara, Timo; Cuenca, Jacques; Alkmim, Mansour; de Ryck, Laurent; Dolcetti, Giulio; Krynkin, Anton. 2022. International congress on acoustics abstract
Correlated Sample-Based Prior in Bayesian Inversion Framework for Microwave Tomography
Yadav, Rahul; Omrani, Adel; Link, Guido; Vauhkonen, Marko; Lahivaara, Timo. 2022. IEEE transactions on antennas and propagation. 70: 5860-5872 A1 Journal article (refereed), original research
Deep learning-based groundwater storage estimation from seismic data
Lähivaara, T; Malehmir, A; Pasanen, A; Kärkkäinen, L; Huttunen, JMJ; Hesthaven, JS. Teoksessa: (toim.) , 2022. Second EAGE Conference on Seismic Inversion. s. 1-5. European association of geoscientists and engineers B3 Non-refereed conference proceedings
Deep-learning-based post-process correction of the aerosol parameters in the high-resolution Sentinel-3 Level-2 Synergy product
Lipponen, Antti; Reinvall, Jaakko; Väisänen, Arttu; Taskinen, Henri; Lähivaara, Timo; Sogacheva, Larisa; Kolmonen, Pekka; Lehtinen, Kari; Arola, Antti; Kolehmainen, Ville. 2022. Atmospheric measurement techniques. 15: 895-914 A1 Journal article (refereed), original research
Deterministic and statistical reconstruction of rough surfaces from acoustic scattering
Cuenca, Jacques; Lähivaara, Timo; Dolcetti, Giulio; Alkmim, Mansour; de Ryck, Laurent; Johnson, Michael David; Krynkin, Anton. 2022. International congress on acoustics abstract
Estimation of forest stand characteristics using individual tree detection, stochastic geometry and a sequential spatial point process model
Mehtätalo, Lauri; Yazigi, Adil; Kansanen, Kasper; Packalen, Petteri; Lähivaara, Timo; Maltamo, Matti; Myllymäki, Mari; Penttinen, Antti. 2022. International journal of applied earth observation and geoinformation. 112: A1 Journal article (refereed), original research
High-Resolution Post-Process Corrected Satellite AOD
Taskinen, Henri; Väisänen, Arttu; Hatakka, Lauri; Virtanen, Timo H; Lähivaara, Timo; Arola, Antti; Kolehmainen, Ville; Lipponen, Antti. 2022. Geophysical research letters. 49: . e2022GL099733 A1 Journal article (refereed), original research
Multistatic Uniform Diffraction Tomography Derived Structural-Prior in Bayesian Inversion Framework for Microwave Tomography
Omrani, Adel; Yadav, Rahul; Link, Guido; Lahivaara, Timo; Vauhkonen, Marko; Jelonnek, John. 2022. IEEE Transactions on computational imaging. 8: 986-995 A1 Journal article (refereed), original research
Refining and evaluating a Horvitz–Thompson-like stand density estimator in individual tree detection based on airborne laser scanning
Kansanen, Kasper; Packalen, Petteri; Lähivaara, Timo; Seppänen, Aku; Vauhkonen, Jari; Maltamo, Matti; Mehtätalo, Lauri. 2022. Canadian journal of forest research-revue canadienne de recherche forestiere. 52: 527-538 A1 Journal article (refereed), original research
The Time Domain Linear Sampling Method for Determining the Shape of Multiple Scatterers Using Electromagnetic Waves
Lähivaara, Timo; Monk, Peter; Selgas, Virginia. 2022. Computational methods in applied mathematics. 22: 889-913 A1 Journal article (refereed), original research
Tomography-assisted control for the microwave drying process of polymer foams
Hosseini, Marzieh; Kaasinen, Anna; Link, Guido; Aliyari Shoorehdeli, Mahdi; Lähivaara, Timo; Vauhkonen, Marko. 2022. Journal of process control. 114: 16-28 A1 Journal article (refereed), original research
A Combined Microwave Imaging Algorithm for Localization and Moisture Level Estimation in Multilayered Media
Omrani, Adel; Yadav, Rahul Link, Guido; Vauhkonen, Marko; Lahivaara, Timo; Jelonnek, John. Teoksessa: -(toim.) , 2021. 15th European Conference on Antennas and Propagation: EuCAP 2021, 22-26 March 2021, DÃ¼sseldorf, Germany. s. 1-5. IEEE A4 Conference proceedings
A Discontinuous Galerkin Method for Three-Dimensional Poroelastic Wave Propagation: Forward and Adjoint Problems
Ward, Nick Dudley; Eveson, Simon; Lähivaara, Timo. 2021. Computational methods and function theory. 21: 737-777 A1 Journal article (refereed), original research
An Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave Drying System
Omrani, Adel; Yadav, Rahul; Link, Guido; Lähivaara, Timo; Vauhkonen, Marko; Jelonnek, John. 2021. Sensors. 21: 7409 A1 Journal article (refereed), original research
Detecting pathological features and predicting fracture risk from dual-energy X-ray absorptiometry images using deep learning
Nissinen, Tomi; Suoranta, Sanna; Saavalainen, Taavi; Sund, Reijo; Hurskainen, Ossi; Rikkonen, Toni; Kröger, Heikki; Lähivaara, Timo; Väänänen, Sami P. 2021. Bone reports. 14: 101070 A1 Journal article (refereed), original research
Deterministic and statistical methods for the characterisation of poroelastic media from multi-observation sound absorption measurements
Cuenca, J; Göransson, P; De Ryck, L; Lähivaara, T. 2021. Mechanical systems and signal processing. 2022; 163: 108186 A1 Journal article (refereed), original research
Electrical Capacitance Tomography to Measure Moisture Distribution of Polymer Foam in a Microwave Drying Process
Hosseini, Marzieh; Kaasinen, Anna; Link, Guido; Lähivaara, Timo; Vauhkonen, Marko. 2021. IEEE sensors journal. 21: 18101-18114 A1 Journal article (refereed), original research
LQR Control of Moisture Distribution in Microwave Drying Process Based on a Finite Element Model of Parabolic PDEs
Hosseini, Marzieh; Kaasinen, Anna; Link, Guido; Lähivaara, Timo; Vauhkonen, Marko. Teoksessa: (toim.) , 2021. . s. 11470-11476. A4 Conference proceedings
Microwave Tomography Using Neural Networks for Its Application in an Industrial Microwave Drying System
Yadav, Rahul; Omrani, Adel; Link, Guido; Vauhkonen, Marko; Lähivaara, Timo. 2021. Sensors. 21: 6919 A1 Journal article (refereed), original research
Microwave Tomography for Moisture Level Estimation Using Bayesian Framework
Yadav, Rahul; Omran, Adel; Vauhkonen, Marko; Link, Guido; Lahivaara, Timo. Teoksessa: -(toim.) , 2021. 15th European Conference on Antennas and Propagation: EuCAP 2021, 22-26 March 2021, DÃ¼sseldorf, Germany. s. 1-5. IEEE A4 Conference proceedings
Model reduction in acoustic inversion by artificial neural network
Koponen, Janne; Lähivaara, Timo; Kaipio, Jari; Vauhkonen, Marko. 2021. Journal of the acoustical society of america. 150: 3435-3444 A1 Journal article (refereed), original research
System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance Tomography
Hosseini, Marzieh; Kaasinen, Anna; Aliyari Shoorehdeli, Mahdi; Link, Guido; Lähivaara, Timo; Vauhkonen, Marko. 2021. Sensors. 21: 7170 A1 Journal article (refereed), original research
A Bayesian-based approach to improving acoustic Born waveform inversion of seismic data for viscoelastic media
Muhumuza, Kenneth; Roininen, Lassi; Huttunen, Janne M J; Lähivaara, Timo. 2020. Inverse problems. 36: 75010 A1 Journal article (refereed), original research
Estimation of moisture content distribution in porous foam using microwave tomography with neural networks
Lähivaara, T; Yadav, R; Link, G; Vauhkonen, M. 2020. IEEE Transactions on computational imaging. 6: 1351-1361 A1 Journal article (refereed), original research
Microwave tomography for estimating moisture content distribution in porous foam using neural networks
Yadav, Rahul; Vauhkonen, Marko; Link, Guido; Betz, Stefan; Lähivaara, Timo. Teoksessa: -(toim.) , 2020. Proceedings of 14th European Conference on Antennas and Propagation, EuCAP 2020. s. 9135296. IEEE A4 Conference proceedings
A Bayesian approach to improving the Born approximation for inverse scattering with high-contrast materials
Kaipio, JP; Huttunen, T; Luostari, T; Lähivaara, T; Monk, PB. 2019. Inverse problems. 35: 84001 A1 Journal article (refereed), original research
Characterising poroelastic materials in the ultrasonic range - A Bayesian approach
Niskanen, Matti; Dazel, Olivier; Groby, Jean-Philippe; Duclos, Aroune; Lähivaara, Timo. 2019. Journal of sound and vibration. 456: 30-48 A1 Journal article (refereed), original research
Estimating forest stand density and structure using Bayesian individual tree detection, stochastic geometry, and distribution matching
Kansanen, Kasper; Vauhkonen, Jari; Lähivaara, Timo; Seppänen, Aku; Maltamo, Matti; Mehtätalo, Lauri. 2019. Isprs journal of photogrammetry and remote sensing. 152: 66-78 A1 Journal article (refereed), original research
Estimating the material parameters of an inhomogeneous poroelastic plate from ultrasonic measurements in water
Niskanen, Matti; Duclos, Aroune; Dazel, Olivier; Groby, Jean-Philippe; Kaipio, Jari; Lähivaara, Timo. 2019. Journal of the acoustical society of america. 146: 2596-2607 A1 Journal article (refereed), original research
Estimation of groundwater storage from seismic data using deep learning
Lähivaara, Timo; Malehmir, Alireza; Pasanen, Antti; Kärkkäinen, Leo; Huttunen, Janne M J; Hesthaven, Jan S. 2019. Geophysical prospecting. 67: 2115-2126 A1 Journal article (refereed), original research
Material parameter identification of coupled resonant systems using impedance tubes
Cuenca, Jacques; De Ryck, Laurent; Göransson, Peter; Lähivaara, Timo. Teoksessa: ICSV26 Local Committee in Montreal(toim.) , 2019. Proceedings of the 26th International Congress on Sound and Vibration: Montreal bridges, 2019. s. 1-8. B3 Non-refereed conference proceedings
Parameter estimation in modelling frequency response of coupled systems using a stepwise approach
Göransson, Peter; Cuenca, Jacques; Lähivaara, Timo. 2019. Mechanical systems and signal processing. 126: 161-175 A1 Journal article (refereed), original research
Bayesian approach to single-tree detection in airborne laser scanning - use of training data for prior and likelihood modeling
Luostari, Teemu; Lähivaara, Timo; Packalen, Petteri; Seppänen, Aku. Teoksessa: (toim.) , 2018. . s. 12008. A4 Conference proceedings
Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography
Lähivaara, Timo; Kärkkäinen, Leo; Huttunen, Janne MJ; Hesthaven, Jan S. 2018. Journal of the acoustical society of america. 143: 1148 A1 Journal article (refereed), original research
Effects of flow gradients on directional radiation of human voice
Pulkki, Ville; Lähivaara, Timo; Huhtakallio, Ilkka. 2018. Journal of the acoustical society of america. 143: 1173-1181 A1 Journal article (refereed), original research
Estimation of Porous Material Parameters Using Ultrasound Tomography and Deep Learning
Lähivaara, T; Kärkkäinen, L; Huttunen, JMJ; Hesthaven, JS. Teoksessa: -(toim.) , 2018. 9th World Congress on Industrial Process Tomography, Bath, UK, September 2-6, 2018. s. 283-288. International Society for Industrial Process Tomography ISIPT A4 Conference proceedings
Gaussian Process Regression for Forest Attribute Estimation From Airborne Laser Scanning Data
Varvia, Petri; Lähivaara, Timo; Maltamo, Matti; Packalen, Petteri; Seppanen, Aku. 2018. IEEE transactions on geoscience and remote sensing. 2019; 57: 3361-3369 A1 Journal article (refereed), original research
Identification of new particle formation events with deep learning
Joutsensaari, Jorma; Ozon, Matthew; Nieminen, Tuomo; Mikkonen, Santtu; Lähivaara, Timo; Decesari, Stefano; Facchini, M Cristina; Laaksonen, Ari; Lehtinen, Kari EJ. 2018. Atmospheric chemistry and physics. 18: 9597-9615 A1 Journal article (refereed), original research
Inverse parameter estimation in resonant, coupled fluid-structure interaction problems
Cuenca, J; Göransson, P; De Ryck, L; Lähivaara, T. Teoksessa: Desmet, W; Pluymers, B; Moens, D; Rottiers, W(toim.) , 2018. Proceedings of ISMA2018 International Conference on Noise and Vibration Engineering USD2018 International Conference on Uncertainty in Structural Dynamics. s. 2083-2097. KU Leuven A4 Conference proceedings
Seismic monitoring of CO2 injection using a distorted Born T-matrix approach in acoustic approximation
Muhumuza, Kenneth; Jakobsen, Morten; Luostari, Teemu; Lähivaara, Timo. 2018. Journal of seismic exploration. 27: 403-431 A1 Journal article (refereed), original research
TOMOCON: A Marie Sklodowska-Curie European Training Network on Tomography-based Control in Industrial Processes
Hampel, U; Wondrak, T; Fjeld, M; Mudde, R; Portela, LM; Kenjeres, S; Legendre, D; Link, G; Koiranen, T; Hlava, J; Babout, L; Jackowska-Strumillo; L; Soleimani, M; Vauhkonen, M; Lähivaara, T; Rymarczyk, T; Trepte, M; Voutilainen, A; Rodriguez, M; Bos, J; et al.. Teoksessa: -(toim.) , 2018. 9th World Congress on Industrial Process Tomography, Bath, UK, September 2-6, 2018. s. 892-900. International Society for Industrial Process Tomography ISIPT A4 Conference proceedings
A discontinuous Galerkin method for poroelastic wave propagation: The two-dimensional case
Dudley Ward NF, Lähivaara T, Eveson S. 2017. Journal of computational physics. 350: 690-727 A1 Journal article (refereed), original research
Deterministic and statistical characterization of rigid frame porous materials from impedance tube measurements
Niskanen M, Groby J-P, Duclos A, Dazel O, Le Roux JC, Poulain N, Huttunen T, Lähivaara T. 2017. Journal of the acoustical society of america. 142: 2407-2418 A1 Journal article (refereed), original research
Huokoisen väliaineen ominaisuudet - jakaumia ja epävarmuuksia
Lähivaara Timo, Niskanen Matti, Luostari Teemu, Huttunen Tomi. Teoksessa: Lokki Tapio(toim.) , 2017. Akustiikkapäivät 2017. s. 329-334. Akustinen seura B3 Non-refereed conference proceedings
Tuulen vaikutus huutajan suuntakuvioon
Pulkki Ville, Huhtakallio Ilkka, Lähivaara Timo. Teoksessa: Lokki Tapio(toim.) , 2017. Akustiikkapäivät 2017. s. 233-238. Akustinen Seura ry B3 Non-refereed conference proceedings
Inverse Problems
Vauhkonen Marko, Tarvainen Tanja, Lähivaara Timo. Teoksessa: Seppo Pohjolainen(toim.) , 2016. Mathematical Modelling. s. 207-227. Springer A3 Book section, Chapters in research books
Inverse acoustic characterization of rigid frame porous materials from impedance tube measurements
Niskanen M, Groby J-P, Duclos A, Dazel O, Le Roux J-C, Poulain N, Lähivaara T, Huttunen T. Teoksessa: Kropp Wolfgang, von Estorff Otto, Schulte-Fortkamp Brigitte(toim.) , 2016. Proceedings of the INTER-NOISE 2016. 45th International Congress and Exposition on Noise Control Engineering. s. 4124-4129. German Acoustical Society (DEGA) B3 Non-refereed conference proceedings
Inverse acoustic characterization of rigid frame porous materials from impedance tube measurements
Niskanen M, Groby J-P, Duclos A, Dazel O, Le Roux J-C, Poulain N, Lähivaara T, Huttunen T. Teoksessa: Federico Miyara, Ernesto Accolti, Vivian Pasch, Nilda Vechiatti(toim.) , 2016. Proceedings of The 22nd International Congress on Acoustics. s. Paper ICA2016-533. B3 Non-refereed conference proceedings
Puhtaan veden turvaaminen vaatii jatkossa roimasti kekseliäisyyttä
Lähivaara Timo. 2016. Savon sanomat. : A5 E1 Popularised article, newspaper article
Stand density estimators based on individual tree detection and stochastic geometry
Kansanen Kasper, Vauhkonen Jari, Lähivaara Timo, Mehtätalo Lauri. 2016. Canadian journal of forest research-revue canadienne de recherche forestiere. 46: 1359-1366 A1 Journal article (refereed), original research
Uncertainty Quantification in ALS-Based Species-Specific Growing Stock Volume Estimation
Varvia Petri, Lähivaara Timo, Maltamo Matti, Packalen Petteri, Tokola Timo, Seppänen Aku. 2016. IEEE transactions on geoscience and remote sensing. 2017; 55: 1671-1681 A1 Journal article (refereed), original research
Estimation of aquifer dimensions from passive seismic signals in the presence of material and source uncertainties
Lähivaara Timo, Dudley Ward Nicholas F., Huttunen Tomi, Rawlinson Zara, Kaipio Jari P.. 2015. Geophysical journal international. 200: 1662-1675 A1 Journal article (refereed), original research
Pragmatic Approach to Calibrating Distributed Parameter Groundwater Models from Pumping Test Data Using Adaptive Delayed Acceptance MCMC
Cui Tinagang, Ward Nicholas Dudley, Eveson Simon, Lähivaara Timo. 2015. Journal of hydrologic engineering. 2016; 21: - A1 Journal article (refereed), original research
Uncertainty quantification in ALS-based species-specific growing stock volume estimation
Varvia Petri, Lähivaara Timo, Maltamo Matti, Packalén Petteri, Tokola Timo, Seppänen Aku. Teoksessa: S. Durrieu, and C. Véga(toim.) , 2015. Proceedings of SilviLaser 2015, 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems, September 28-30, 2015 - La Grande Motte, France. s. 134-136. D3 Professional conference proceedings
Bayesian Approach to Tree Detection Based on Airborne Laser Scanning Data
Lähivaara Timo, Seppänen Aku, Kaipio Jari, Vauhkonen Jari, Korhonen Lauri, Tokola Timo, Maltamo Matti. 2014. IEEE transactions on geoscience and remote sensing. 52: 2690-2699 A1 Journal article (refereed), original research
Estimating pipeline location using ground-penetrating radar data in the presence of model uncertainties
Lähivaara Timo, Dudley Ward Nicholas F., Huttunen Tomi, Kaipio Jari P., Niinimäki Kati. 2014. Inverse problems. 30: 114006 A1 Journal article (refereed), original research
Estimation of aquifer dimensions from passive seismic signals with approximate wave propagation models
Lähivaara Timo, Dudley Ward Nicholas F, Huttunen Tomi, Koponen Janne, Kaipio Jari P. 2014. Inverse problems. 30: 15003 A1 Journal article (refereed), original research
Seisminen menetelmä pohjavesivarojen arviointiin
Lähivaara T, Kaipio JP, Dudley Ward NF, Huttunen T. Teoksessa: Hiipakka M, Tahvanainen H, Lokki T(toim.) , 2013. Akustiikkapäivät. s. 105-109. A4 Conference proceedings
Akustisen aallon sironta elastisesta kappaleesta
Lähivaara T, Huttunen T. Teoksessa: Koivukora, H. ja Malaska, M. (toim.)(toim.) , 2012. Proceedings of the 11th Finnish Mechanics Days. s. 45-48. B3 Non-refereed conference proceedings
Akustisen aallon sironta elastisesta kappaleesta
Lähivaara T, Huttunen T. 2012. Rakenteiden mekaniikka. 45: 34-44 A1 Journal article (refereed), original research
Bayesian approach to tree detection with airborne laser scanning
Lähivaara T, Seppänen A, Kaipio J.P, Vauhkonen J, Korhonen L, Tokola T, Maltamo M. Teoksessa: -(toim.) , 2012. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012). s. 1641-1644. A4 Conference proceedings
High-order numerical methods for large-scale wave problems
Lähivaara T, Buffa A, Huttunen T.. Teoksessa: Monfardini S.(toim.) , 2012. Science and Supercomputing in Europe, research highlights 2011. s. -. D2 Article in a professional book (incl. an introduction by the editor)
High-order numerical methods for underwater acoustic scattering
Lähivaara T, Huttunen T. Teoksessa: J. Eberhardsteiner(toim.) , 2012. European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2012). s. 1528-1541. A4 Conference proceedings
Modeling of acoustic wave propagation in time-domain using the discontinuous Galerkin method - A comparison with measurements
Simonaho Simo-Pekka, Lähivaara Timo, Huttunen Tomi. 2012. Applied acoustics. 73: 173-183 A1 Journal article (refereed), original research
A non-uniform basis order for the discontinuous Galerkin method of the acoustic and elastic wave equations
Lähivaara T, Huttunen T. 2011. Applied numerical mathematics. 61: 473-486 A1 Journal article (refereed), original research
A non-uniform basis order for the discontinuous Galerkin method of the 3D dissipative wave equation with perfectly matched layer
Lähivaara T & Huttunen T. 2010. Journal of computational physics. 229: 5144-5160 A1 Journal article (refereed), original research
Discontinuous Galerkin method for solving the 3D acoustic wave equation
Lähivaara T, Huttunen T. Teoksessa: Barucq H, Bonnet-Bendhia A-S, Cohen G, Diaz J, Ezziani A, Joly P(toim.) , 2009. The 9th international conference on mathematical and numerical aspects of waves propagation. s. 162-163. INR en Informatique et en Automatique Magique-3D & Poems A4 Conference proceedings
Elastisten aaltopulssien mallintaminen
Lähivaara T, Huttunen T, Niskanen H. Teoksessa: Mäkinen R, Neittaanmäki P, Tuovinen T, Valpe K(toim.) , 2009. Proceedings of the 10th Finnish Mechanics Days X Suomen Mekaniikkapäivät. s. 34-42. Deptartment of Mathematical Information Technology A4 Conference proceedings
Epäjatkuva Galerkinin menetelmä elastiselle aaltoyhtälölle
Lähivaara T, Huttunen T. Teoksessa: (toim.) , 2009. Akustiikkapäivät 2009. s. 210-215. Akustinen seura A4 Conference proceedings
Computational aspects of the discontinuous Galerkin method for the wave equation
Lähivaara T, Malinen M, Kaipio JP & Huttunen T. 2008. Journal of computational acoustics. 16: 507-530 A1 Journal article (refereed), original research

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Timo Lähivaara

Research groups

Keywords

Simultaneous estimation of electrical conductivity and permittivity in quantitative thermoacoustic tomography

A High-Order Ultra-Weak Variational Formulation for Electromagnetic Waves Utilizing Curved Elements

Bayesian reconstruction of surface shape from phaseless scattered acoustic data

Combination of Lidar Intensity and Texture Features Enable Accurate Prediction of Common Boreal Tree Species With Single Sensor UAS Data

Deep learning-assisted dual-modal tomography for phase flow rate estimation in two-phase oil-water flow systems

Monitoring of water volume in a porous reservoir using seismic data: A 3D simulation study

Post-process correction improves the accuracy of satellite PM2.5 retrievals

Uncertainty Quantification in Groundwater Volume Predictions from Seismic Data Using Neural Networks

A 3D Simulation Study for Monitoring Water Content in a Porous Storage

A Statistical Inverse Method for the Reconstruction of Rough Surfaces from Acoustic Scattering

COMPOSTI: A Python-based program for seismic trans-dimensional inversion

Monitoring of water table level and volume of water in a porous storage by seismic data

Perceived difficulty of upwind shouting is a misconception explained by convective attenuation effect

Transport Efficiency of Delivery Trucks: A Study of Coupling Vehicle Design and Transport System through Functional Modelling and Optimisation

A Review on Fast Tomographic Imaging Techniques and Their Potential Application in Industrial Process Control

Bayesian recovery of sinusoidal rough surface from scattered acoustic pressure on a linear microphone array

Correlated Sample-Based Prior in Bayesian Inversion Framework for Microwave Tomography

Deep learning-based groundwater storage estimation from seismic data

Deep-learning-based post-process correction of the aerosol parameters in the high-resolution Sentinel-3 Level-2 Synergy product

Deterministic and statistical reconstruction of rough surfaces from acoustic scattering

Estimation of forest stand characteristics using individual tree detection, stochastic geometry and a sequential spatial point process model

High-Resolution Post-Process Corrected Satellite AOD

Multistatic Uniform Diffraction Tomography Derived Structural-Prior in Bayesian Inversion Framework for Microwave Tomography

Refining and evaluating a Horvitz–Thompson-like stand density estimator in individual tree detection based on airborne laser scanning

The Time Domain Linear Sampling Method for Determining the Shape of Multiple Scatterers Using Electromagnetic Waves

Tomography-assisted control for the microwave drying process of polymer foams

A Combined Microwave Imaging Algorithm for Localization and Moisture Level Estimation in Multilayered Media

A Discontinuous Galerkin Method for Three-Dimensional Poroelastic Wave Propagation: Forward and Adjoint Problems

An Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave Drying System

Detecting pathological features and predicting fracture risk from dual-energy X-ray absorptiometry images using deep learning

Deterministic and statistical methods for the characterisation of poroelastic media from multi-observation sound absorption measurements

Electrical Capacitance Tomography to Measure Moisture Distribution of Polymer Foam in a Microwave Drying Process

LQR Control of Moisture Distribution in Microwave Drying Process Based on a Finite Element Model of Parabolic PDEs

Microwave Tomography Using Neural Networks for Its Application in an Industrial Microwave Drying System

Microwave Tomography for Moisture Level Estimation Using Bayesian Framework

Model reduction in acoustic inversion by artificial neural network

System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance Tomography

A Bayesian-based approach to improving acoustic Born waveform inversion of seismic data for viscoelastic media

Estimation of moisture content distribution in porous foam using microwave tomography with neural networks

Microwave tomography for estimating moisture content distribution in porous foam using neural networks

A Bayesian approach to improving the Born approximation for inverse scattering with high-contrast materials

Characterising poroelastic materials in the ultrasonic range - A Bayesian approach

Estimating forest stand density and structure using Bayesian individual tree detection, stochastic geometry, and distribution matching

Estimating the material parameters of an inhomogeneous poroelastic plate from ultrasonic measurements in water

Estimation of groundwater storage from seismic data using deep learning

Material parameter identification of coupled resonant systems using impedance tubes

Parameter estimation in modelling frequency response of coupled systems using a stepwise approach

Bayesian approach to single-tree detection in airborne laser scanning - use of training data for prior and likelihood modeling

Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography

Effects of flow gradients on directional radiation of human voice

Estimation of Porous Material Parameters Using Ultrasound Tomography and Deep Learning

Gaussian Process Regression for Forest Attribute Estimation From Airborne Laser Scanning Data

Identification of new particle formation events with deep learning

Inverse parameter estimation in resonant, coupled fluid-structure interaction problems

Seismic monitoring of CO2 injection using a distorted Born T-matrix approach in acoustic approximation

TOMOCON: A Marie Sklodowska-Curie European Training Network on Tomography-based Control in Industrial Processes

A discontinuous Galerkin method for poroelastic wave propagation: The two-dimensional case

Deterministic and statistical characterization of rigid frame porous materials from impedance tube measurements

Huokoisen väliaineen ominaisuudet - jakaumia ja epävarmuuksia

Tuulen vaikutus huutajan suuntakuvioon

Inverse Problems

Inverse acoustic characterization of rigid frame porous materials from impedance tube measurements

Inverse acoustic characterization of rigid frame porous materials from impedance tube measurements

Puhtaan veden turvaaminen vaatii jatkossa roimasti kekseliäisyyttä

Stand density estimators based on individual tree detection and stochastic geometry

Uncertainty Quantification in ALS-Based Species-Specific Growing Stock Volume Estimation

Estimation of aquifer dimensions from passive seismic signals in the presence of material and source uncertainties

Pragmatic Approach to Calibrating Distributed Parameter Groundwater Models from Pumping Test Data Using Adaptive Delayed Acceptance MCMC

Uncertainty quantification in ALS-based species-specific growing stock volume estimation

Bayesian Approach to Tree Detection Based on Airborne Laser Scanning Data

Estimating pipeline location using ground-penetrating radar data in the presence of model uncertainties

Estimation of aquifer dimensions from passive seismic signals with approximate wave propagation models

Seisminen menetelmä pohjavesivarojen arviointiin

Akustisen aallon sironta elastisesta kappaleesta

Akustisen aallon sironta elastisesta kappaleesta

Bayesian approach to tree detection with airborne laser scanning