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Engineering and Technology

D-Index
31
Citations
8954
World Ranking
9627
National Ranking
61

Overview

Heikki Haario is affiliated with Lappeenranta University of Technology in Finland. Their research contributions are primarily situated within the field of Engineering, with specific work spanning several subfields including Biophysics, Computer Networks and Communications, Environmental Engineering, Artificial Intelligence, and Molecular Biology.

Haario's scientific output includes publications in various venues, with frequent appearances in:

  • arXiv (Cornell University)
  • International Journal for Uncertainty Quantification
  • Geoscientific Model Development
  • Frontiers in Marine Science
  • Journal of Theoretical Biology

Their research addresses topics such as Nonlinear Dynamics and Pattern Formation, Gene Regulatory Network Analysis, Spectroscopy and Chemometric Analyses, Mineral Processing and Grinding, Spectroscopy Techniques in Biomedical and Chemical Research, Cell Image Analysis Techniques, and Nuclear reactor physics and engineering.

Among recent publications of note are:

  • Towards operational phytoplankton recognition with automated high-throughput imaging, near-real-time data processing, and convolutional neural networks, 2022, Frontiers in Marine Science
  • Statistical approach for parameter identification by Turing patterns, 2020, Journal of Theoretical Biology
  • Parameter estimation in kinetic models of complex heterogeneous catalytic reactions using Bayesian statistics, 2021, Reaction Kinetics Mechanisms and Catalysis
  • Identification of molecular cluster evaporation rates, cluster formation enthalpies and entropies by Monte Carlo method, 2020, Atmospheric Chemistry and Physics
  • Agent-based modelling of complex factors impacting malaria prevalence, 2021, Malaria Journal

Frequent co-authors collaborating with Haario include:

  • Alexey Kazarnikov
  • Jouni Susiluoto
  • Sebastian Springer
  • Zina-Sabrina Duma
  • Tuomas Sihvonen

Best Publications

  • An adaptive Metropolis algorithm

    Heikki Haario;Eero Saksman;Johanna Tamminen

  • DRAM: Efficient adaptive MCMC

    Heikki Haario;Marko Laine;Antonietta Mira;Eero Saksman

  • Adaptive proposal distribution for random walk Metropolis algorithm

    Heikki Haario;Eero Saksman;Johanna Tamminen

  • Componentwise adaptation for high dimensional MCMC

    Heikki Haario;Eero Saksman;Johanna Tamminen

  • Development of a kinetic model for the esterification of acetic acid with methanol in the presence of a homogeneous acid catalyst

    Robert Rönnback;Tapio Salmi;Antti Vuori;Heikki Haario

  • Randomize-Then-Optimize: A Method for Sampling from Posterior Distributions in Nonlinear Inverse Problems

    Johnathan M. Bardsley;Antti Solonen;Heikki Haario;Marko Laine

  • Catalytic Decomposition of Gasification Gas Tar with Benzene as the Model Compound

    P.A. Simell;N.A.K. Hakala;H.E. Haario;A.O.I. Krause

  • Markov chain Monte Carlo methods for high dimensional inversion in remote sensing

    H. Haario;M. Laine;M. Lehtinen;E. Saksman

  • Bayesian modelling of algal mass occurrences-using adaptive MCMC methods with a lake water quality model

    Olli Malve;Marko Laine;Heikki Haario;Teija Kirkkala

  • Segmentation of Overlapping Elliptical Objects in Silhouette Images

    Sahar Zafari;Tuomas Eerola;Jouni Sampo;Heikki Kalviainen

  • Efficient MCMC for Climate Model Parameter Estimation: Parallel Adaptive Chains and Early Rejection

    Antti Solonen;Pirkka Ollinaho;Marko Laine;Heikki Haario

  • Simulated annealing process in general state space

    Heikki Haario;Eero Saksman

  • Size and Shape Dependence of the Electronic and Spectral Properties in TiO2 Nanoparticles

    Sami Auvinen;Matti Alatalo;Heikki Haario;Juho-Pertti Jalava

  • Numerical study of dynamics of single bubbles and bubble swarms

    Anton Smolianski;Heikki Haario;Pasi Luukka

  • Parameter estimation in stochastic differential equations with Markov chain Monte Carlo and non-linear Kalman filtering

    Isambi S. Mbalawata;Simo Särkkä;Heikki Haario

  • Microbial functional activity during composting of chlorophenol-contaminated sawmill soil

    M.Minna Laine;Heikki Haario;Kirsten S Jørgensen

  • Estimation of ECHAM5 climate model closure parameters with adaptive MCMC

    Heikki Järvinen;P. Raisanen;M. Laine;J. Tamminen

  • Posterior covariance related optimal current patterns in electrical impedance tomography

    J P Kaipio;A Seppänen;E Somersalo;H Haario

  • Inverse theory for occultation measurements: 1. Spectral inversion

    E. Kyrölä;E. Sihvola;Y. Kotivuori;M. Tikka

  • Optimized separation of seven corticosteroids by micellar electrokinetic chromatography.

    Juho H. Jumppanen;Susanne K. Wiedmer;Heli Sirén;Marja‐Liisa Riekkola

  • Ensemble prediction and parameter estimation system: the concept

    Heikki Järvinen;Marko Laine;Antti Solonen;Heikki Haario

  • Ozone profile smoothness as a priori information in the inversion of limb measurements

    Viktoria F. Sofieva;J. Tamminen;H. Haario;E. Kyrölä

  • Numerical Modelling of Wind Turbine Wakes in Wind-Farms

    Oxana Agafonova;Ashvinkumar Chaudhari;Heikki Haario;Antti Hellsten

Frequent Co-Authors

Johanna Tamminen
Johanna Tamminen Finnish Meteorological Institute
Tapio Salmi
Tapio Salmi Åbo Akademi University
Eero Saksman
Eero Saksman University of Helsinki
Jari P. Kaipio
Jari P. Kaipio University of Auckland
Erkki Kyrölä
Erkki Kyrölä Finnish Meteorological Institute
Simo Särkkä
Simo Särkkä Aalto University
Marja-Liisa Riekkola
Marja-Liisa Riekkola University of Helsinki
Erkki Somersalo
Erkki Somersalo Case Western Reserve University
Peter Bechtold
Peter Bechtold European Centre for Medium-Range Weather Forecasts
Erkki Oja
Erkki Oja Aalto University

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