Professor Jari Kaipio

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Research | Current

  • Inverse problems
  • Time series analysis

Selected publications and creative works (Research Outputs)

  • Silva, G. L. S., Castello, D. A., Borges, L., & Kaipio, J. P. (2020). Damage identification in plates under uncertain boundary conditions. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 14410.1016/j.ymssp.2020.106884
  • Castello, D. A., & Kaipio, J. P. (2019). Modeling errors due to Timoshenko approximation in damage identification. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 120 (9), 1148-1162. 10.1002/nme.6175
  • Kaipio, J. P., Huttunen, T., Luostari, T., Lahivaara, T., & Monk, P. B. (2019). A Bayesian approach to improving the Born approximation for inverse scattering with high-contrast materials. INVERSE PROBLEMS, 35 (8)10.1088/1361-6420/ab15f3
  • Niskanen, M., Duclos, A., Dazel, O., Groby, J.-P., Kaipio, J., & Lähivaara T (2019). Estimating the material parameters of an inhomogeneous poroelastic object from ultrasonic measurements in water. Arxiv Related URL.
  • Rimpiläinen V, Koulouri, A., Lucka, F., Kaipio, J. P., & Wolters, C. H. (2019). Improved EEG source localization with Bayesian uncertainty modelling of unknown skull conductivity. NeuroImage, 188, 252-260. 10.1016/j.neuroimage.2018.11.058
  • Ardekani, I. T., Kaipio, J., Sakhaee, N., & Sharifzadeh, H. (2019). Bayesian parameter estimation of Euler-Bernoulli beams. Paper presented at 10th International Conference on Signal Processing Systems (ICSPS), Singapore, SINGAPORE. 16 November - 18 November 2018. TENTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING SYSTEMS, 2019. (pp. 6). 10.1117/12.2520452
  • Tick, J., Pulkkinen, A., Lucka, F., Ellwood, R., Cox, B. T., Kaipio, J. P., ... Tarvainen, T. (2018). Three dimensional photoacoustic tomography in Bayesian framework. The Journal of the Acoustical Society of America, 144 (4)10.1121/1.5057109
  • Abreu, L. A. S., Orlande, H. R. B., Colaço MJ, Kaipio, J., Kolehmainen, V., Pacheco, C. C., & Cotta, R. M. (2018). Detection of contact failures with the Markov chain Monte Carlo method by using integral transformed measurements. International Journal of Thermal Sciences, 132, 486-497. 10.1016/j.ijthermalsci.2018.06.006


Contact details

Office hours

By appointment.

Primary office location

Level 2, Room 265
New Zealand

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