Japanese

Contact: iSeisBayes Secretariat

Address: Earthquake Research Institute, The University of Tokyo
1-1-1, Yayoi, Bunkyo-ku, 113-0032 Tokyo, Japan

Achievements

Publications

2023

  • Yoshimitsu. N., T. Maeda, and T. Sei, Estimation of source parameters using a non-Gaussian probability density function in a Bayesian framework, Earth, Planets and Space, Vol.75, No.33, Pages 1-16, 2023, doi:10.1186/s40623-023-01770-2
  • Nakai, K., T. Nagata, K. Yamada, Y. Saito, T. Nonomura, M. Kano, S. Ito, and H. Nagao, Observation Site Selection for Physical Model Parameter Estimation toward Process-Driven Seismic Wavefield Reconstruction, Geophys. J. Int., Vol. 234, Issue 3, Pages 1786–1805, 2023, doi:10.1093/gji/ggad165
  • Kaneko, R., H. Nagao, S. Ito, H. Tsuruoka, and K. Obara, Detection of Deep Low-Frequency Tremors from Continuous Paper Records at a Station in Southwest Japan About 50 Years Ago Based on Convolutional Neural Network, J. Geophys. Res. Solid Earth, Vol. 128, Issue 2, 2023, doi:10.1029/2022JB024842
  • Ito, S., M. Kano, and H. Nagao, Adjoint-based uncertainty quantification for inhomogeneous friction on a slow-slipping fault, Geophys. J. Int., Vol. 232, Issue 1, pp. 671–683, 2023, doi:10.1093/gji/ggac354

2022

  • Nakai, K., Y. Sasaki, T. Nagata, K. Yamada, Y. Saito, and T. Nonomura, "Nondominated-Solution-Based Multi-Objective Greedy Sensor Selection for Optimal Design of Experiments",IEEE Transactions on Signal Processing, Vol.70, pp.5694–5707, 2022, doi:10.1109/TSP.2022.3224643
  • Kurihara R. and A. Kato, Deep low-frequency earthquake activity associated with the 2018 eruptions in the Kirishima volcanic complex, Japan, Earth Planets Space, Vol.74, No.174, 2022, doi:10.1186/s40623-022-01723-1
  • Nagata, T., Nakai, K., Yamada, K., Saito, Y., Nonomura, T., Kano, M., Ito, S., and Nagao, H., Seismic wavefield reconstruction based on compressed sensing using data-driven reduced-order model, Geophysical Journal International, Vol.233, No.1, pp.33-50, 2022, doi:10.1093/gji/ggac443
  • Kanda, N., C. Abe, S. Goto, K. Yamada, K. Nakai, Y. Saito, K. Asai, and T. Nonomura, Proof‑of‑concept study of sparse processing particle image velocimetry for real time flow observation, Experiments in Fluids, Vol. 63, pp. 143, 2022, doi:10.1007/s00348-022-03471-0
  • Sugisaki, H., C. Lee, Y. Ozawa, K. Nakai, Y. Saito, T. Nonomura, K. Asai, and Y. Matsuda, Single-pixel correlation applied to background-oriented schlieren measurement, Experiments in Fluids, Vol. 63, pp. 36, 2022, doi:10.1007/s00348-021-03373-7
  • Nagata, T., H. Sato, M. Okochi, T. Matsuyama, Y. Sugioka, M. Kasai, K. Kusama, D. Numata, T. Nonomura, and K. Asai, Visualization of pressure and skin-friction fields on rotating blade under low-pressure conditions, AIAA Journal, 2022, doi:10.2514/1.J061638
  • Oka, Y., T. Nagata, M. Kasai, Y. Ozawa, K. Asai, and T. Nonomura, Practical fast response anodized-aluminum pressure-sensitive paint using chemical adsorption luminophore as optical unsteady pressure sensor, Sensors, Vol. 22, Issue 17, pp. 6401, 2022, doi:10.3390/s22176401
  • Ozawa, Y., T. Nagata, T. Nonomura, and K. Asai, POD-based spatio-temporal superresolution measurement on a supersonic jet using PIV and near-field acoustic data, Journal of Visualization, 2022, doi:10.1007/s12650-022-00855-6
  • Inoba, R., K. Uchida, Y. Iwasaki, T. Nagata, Y. Ozawa, Y. Saito, and T. Nonomura, Optimization of sparse sensor placement for predictionof wind direction using time-averaged pressure-sensitive paint data on automobile model, Journal of Wind Engineering & Industrial Aerodynamics, Vol. 227, pp.105043, 2022, 10.1016/j.jweia.2022.105043
  • Kasai, M., T. Nagata, T. Nonomura, and K. Asai, Optimal gate selection method for lifetime-based PSP measurement with temperature correction, Measurement Science and Technology, Vol. 33, Issue 9, pp.95203, 2022, doi:10.1088/1361-6501/ac769b
  • Iwasaki, Y., T. Nonomura, K. Nakai, T. Nagata, Y. Saito, and K. Asai, Evaluation of optimization algorithms and noise robustness of sparsity- promoting dynamic mode decomposition, IEEE Access, Vol. 10, pp.80749-80763, 2022, 10.1109/ACCESS.2022.3193157
  • Caros, L., Buxton, O. R.H., T. Shigeta, T. Nagata, T. Nonomura, K. Asai, and Vincent, P. E., Direct numerical simulation of flow over a triangular airfoil under Martin atmospheric conditions, AIAA Journal, Vol. 60, Issue 7, pp. 3961-3972, 2022, doi:10.2514/1.J061454
  • Shigeta, T., T. Nagata, T. Nonomura, and K. Asai, Enhancement of signal-to-noise ratio of schlieren visualization measurements in low-density wind tunnel tests using modal decomposition, Journal of Visualization, Vol. 25, pp. 697-712, 2022
  • Nagata, T., T. Nonomura, K. Ohtani, and K. Asai, Schlieren visualization and motion analysis of an isolated and clustered particle(s) after interacting with planar shock, Transactions of Japan Society for Aeronautical and Space Sciences, Vol. 65, Issue 4, pp. 185-194, 2022 doi:10.2322/tjsass.65.185
  • Toda K., Y. Hirose, E. Kazuma, Y. Kim, T. Taketsugu, and T. Iwasa, Excited States of Metal-Adsorbed Dimethyl Disulfide: A TDDFT Study with Cluster Model, The Journal of Physical Chemistry, Vol. 126, Issue 26, pp. 4191-4198, 2022, doi:10.1021/acs.jpca.2c02354
  • Shiina T., and M. Kano, Bayesian-based joint determination of earthquake hypocenters and 1-D velocity structures divided by a structural boundary, Geophysical Journal International, 2022
  • Yano K., and M. Kano, l1 trend filtering based detection of short-term slow slip events: Application to a GNSS array in southwest Japan, Journal of Geophysical Research: Solid Earth, 2022, doi:10.1029/2021JB023258
  • Sei T., and F. Komaki, A correlation-shrinkage prior for Bayesian prediction of the twodimensional Wishart model, Biometrika, 2022, doi:10.1093/biomet/asac006
  • Shigeta T., T. Nagata, T. Nonomura, and K. Asai, Enhancement of signal-to-noise ratio of schlieren visualization measurements in low-density wind tunnel tests using modal decomposition, Journal of Visualization, 2022
  • Yamanaka Y., S. Kurata, K. Yano, F. Komaki, T. Shiina, and A. Kato, Structured regularization based velocity structure estimation in local earthquake tomography for the adaptation to velocity discontinuities, Earth, Planets and Space, Vol. 74, No.43, 2022, doi.org/10.1186/s40623-022-01600-x

2021

  • Sugasawa S., K. Morikawa, and K. Takahata, Bayesian semiparametric modeling of response mechanism for nonignorable missing data, TEST, Vol. 31, p. 101-117, 2021, doi:10.1007/s11749-021-00774-y
  • Sei T., Coordinate-wise transformation of probability distributions to achieve a Stein-type identity, Information Geometry, 2021, doi:10.1007/s41884-021-00051-9
  • Kanda N., K. Nakai, Y. Saito, T. Nonomura, and K. Asai, Feasibility Study on Real-time Observation of Flow Velocity Field by Sparse Processing Particle Image Velocimetry, Transactions of the JSASS, Vol. 64, Issue 4, pp. 242-245, 2021, doi:10.2322/tjsass.64.242
  • Ohmizu K., Y. Ozawa, T. Nagata, T. Nonomura, and K. Asai, Demonstration and verification of exact DMD analysis applying to double-pulsed schlieren image of supersonic impinging jet, Journal of Visualization, 2021, doi:10.2514/6.2021-2217
  • Saito Y., K. Yamada, N. Kanda, K. Nakai, T. Nagata, T. Nonomura, and K. Asai, Data-driven Determinant-based Greedy Vector Sensor Placement, Computer Modeling in Engineering & Sciences, Vol.129, Issue 1, pp. 1-30, 2021, doi:10.32604/cmes.2021.016603
  • Okudo M., and F. Komaki, Shrinkage priors for single-spiked covariance models, Statistics & Probability Letters, Vol. 176, Issue 109127, 2021, doi:10.1016/j.spl.2021.109127
  • Takahashi H., K. Tateiwa, K. Yano, and M. Kano, A convolutional neural network-based classification of local earthquakes and tectonic tremors in Sanriku-oki, Japan, using S-net data, Earth, Planets and Space, Vol. 73, Issue 186, 2021, doi:10.1186/s40623-021-01524-y
  • Kano M., A. Ikeuchi, T. Nishimura, S. Miyazaki, and T. Matsushima, Potential of megathrust earthquakes along the southern Ryukyu Trench inferred from GNSS data, Earth Planets Space, Vol. 73, Issue 199, 2021, doi:10.1186/s40623-021-01531-z
  • Matsumura T., Y. Kuwayama, K. Ueki, T. Kuwatani, Y. Ando, K. Nagata, S. Ito, and H. Nagao, Bayesian modelling of the equation of state for liquid iron in Earth’s outer core, J. Geophys. Res. Solid Earth, Vol. 126, Issue 12, 2021, doi:10.1029/2021JB023062
  • Kurihara R., A. Kato, S. Kurata, and H. Nagao, Detection of low-frequency earthquakes by the matched filter technique using the product of mutual information and correlation coefficient, Earth Planets Space, Vol. 73, No. 225, 2021, doi:10.1186/s40623-021-01534-w
  • Kurihara R. and K. Obara, Spatiotemporal Characteristics of Relocated Deep Low-Frequency Earthquakes Beneath 52 Volcanic Regions in Japan Over an Analysis Period of 14 Years and 9 Months, Journal of Geophysical Research: Solid Earth, Vol. 126, Iss. 10, 2021, doi:10.1029/2021JB022173
  • Nagata, T., T. Nonomura, K. Nakai, K. Yamada, Y. Saito, and S. Ono, Data-driven sparse sensor placement based on A-optimal design of experiment with ADMM, IEEE Sensors Journal, Vol. 21, No. 13, pp. 15248-15257, 2021, doi:10.1109/JSEN.2021.3073978
  • Inoue, T., Y. Matsuda, T. Ikami, T. Nonomura, Y. Egami, and H. Nagai, Data-driven approach for noise reduction in pressure-sensitive paint data based on modal expansion and time-series data at optimally placed points, Physics of Fluids, Vol. 33, Issue 7, 2021, doi:10.1063/5.0049071
  • Ito, S., T. Matsuda, and Y. Miyatake, Adjoint-based Exact Hessian Computation, BIT Numerical Mathematics, Vol. 61, pp.503-522, 2021, doi:10.1007/s10543-020-00833-0
  • Yano, K., T. Shiina, S. Kurata, A. Kato, F. Komaki, S. Sakai, and N. Hirata, Graph-Partitioning Based Convolutional Neural Network for Earthquake Detection Using a Seismic Array, Journal of Geophysical Research - Solid Earth, Vol. 126, Iss. 5, 2021, doi:10.1029/2020JB020269
  • Morikawa, K., H. Nagao, S. Ito, Y. Terada, S. Sakai, and N. Hirata, Forecasting Temporal Variation of Aftershocks Immediately After a Main Shock Using Gaussian Process Regression, Geophys. J. Int., Vol. 226, Issue 2, pp. 1018-1035, 2021, doi:10.1093/gji/ggab124
  • Kaneko, R., H. Nagao, S. Ito, K. Obara, and H. Tsuruoka, Convolutional Neural Network to Detect Deep Low-Frequency Tremors from Seismic Waveform Images, Lecture Notes in Computer Science, Vol. 12705, pp. 31-43, 2021, doi:10.1007/978-3-030-75015-2_4
  • Anzaki, R., S. Ito, H. Nagao, M. Mizumaki, M. Okada, and I. Akai, Phase prediction method for pattern formation in time-dependent Ginzburg-Landau dynamics for kinetic Ising model without a priori assumptions of domain patterns, Physical Review B, Vol. 103, Iss. 9, 094408, 2021, doi:10.1103/PhysRevB.103.094408
  • Shiina, T., T. Maeda, M. Kano, A. Kato, and N. Hirata, An Optimum 2D Seismic-Wavefield Reconstruction in Densely and Nonuniformly Distributed Stations: The Metropolitan Seismic Observation Network in Japan, Seismological Research Letters, Vol. 92, No. 3, 2021, doi:10.1785/0220200196
  • Shiina, T., K. Katsumata, K. Yomogida, and A. Kato, Attenuation Contrast in Mantle Wedge Across the Volcanic Front of Northeastern Japan that Controls Propagations of High-frequency S-wave Later Phases, Earth, Planets and Space, Vol. 73, No. 33, 2021, doi:10.1186/s40623-021-01361-z
  • Kato, A., S. Sakai, S. Matsumoto, and Y. Iio, Conjugate faulting and structural complexity on the young fault system associated with the 2000 Tottori earthquake, Communications Earth & Environment, Vol. 2, No. 13, 2021, doi:10.1038/s43247-020-00086-3
  • Nonomura, T., S. Ono, K. Nakai, and Y. Saito, Randomized Subspace Newton Convex Method Applied to Data-Driven Sensor Selection Problem, IEEE Signal Processing Letters, Vol. 28, pp. 284-288, 2021, doi:10.1109/LSP.2021.3050708
  • Ueda, T., A. Kato, Y. Ogata and L. Yamaya, Spatial Variations in Seismicity Characteristics in and around the Source Region of the 2019 Yamagata-Oki Earthquake, Japan, Earth Planets Space, 2021, doi:10.1186/s40623-020-01325-9
  • Saito, Y., T. Nonomura, K. Yamada, K. Nakai, T. Nagata, K. Asai, Y. Sasaki, and D. Tsubakino, Determinant-based Fast Greedy Sensor Selection Algorithm, IEEE Access, Vol. 9, pp. 68535-68551, 2021, doi: 10.1109/ACCESS.2021.3076186
  • Yamada, K., Y. Saito, K. Nankai, T. Nonomura, K. Asai, and D. Tsubakino, Fast greedy optimization of sensor selection in measurement with correlated noise, Mechanical Systems and Signal Processing, Vol. 158, 2021, doi:10.1016/j.ymssp.2021.107619
  • Nakai, K., K. Yamada, T. Nagata, Y. Saito, and T. Nonomura, Effect of Objective Function on Data-Driven Sparse Sensor Optimization, IEEE Access, Vol. 9, pp. 46731-46743, 2021, doi:10.1109/ACCESS.2021.3067712

2020

  • Jongho, I., K. Morikawa, and H. Ha, A least squares-type density estimator using a polynomial function, Computational Statistics and Data Analysis, 2020, doi:10.1016/j.csda.2019.106882
  • Doi, I., and T. Maeda, Landslide characteristics revealed by high-frequency seismic waves from the 2017 landslide in central Japan, Seismological Research Letters, 2020, doi:10.1785/0220200032
  • Kano, M., S. Miyazaki, Y. Ishikawa, and K. Hirahara, Adjoint-based direct data assimilation of GNSS time series for optimizing frictional parameters and predicting postseismic deformation following the 2003 Tokachi-oki earthquake, Earth Planets Space, 2020, doi:10.1186/s40623-020-01293-0
  • Kato, A. and Y. Ben-Zion, The generation of large earthquakes, Nature Reviews Earth & Environment, 2020, doi:10.1038/s43017-020-00108-w
  • Okudo, M., and F. Komaki, Bayes extended estimators for curved exponential families, IEEE Transactions on Information Theory, 2021, doi:10.1109/TIT.2020.3035027
  • Yano, K., R. Kaneko, and F. Komaki, Minimax Predictive Density for Sparse Count Data, Bernoulli, 2020
  • Inoue, J., M. Okada, H. Nagao, H. Yokota, and Y. Adachi, Development of Data-Driven System in Materials Integration, Materials Transactions, 2020, doi:10.2320/materia.58.503
  • Jongho, I., K. Morikawa, and H. Ha, A least squares-type density estimator using a polynomial function, Computational Statistics and Data Analysis, Vol. 144, 2020, doi:10.1016/j.csda.2019.106882
  • Hirose, Y., Regularization Methods Based on the Lq-Likelihood for Linear Models with Heavy-Tailed Errors, Entropy, Vol. 22, Issue 9, 2020, doi:10.3390/e22091036
  • Kato, A., and S. Nakagawa, Detection of deep low-frequency earthquakes in the Nankai subduction zone over 11 years using a matched filter technique, Earth Planets Space, Vol. 72, No. 128, 2020, doi:10.1186/s40623-020-01257
  • Doi, I., and T. Maeda, Landslide characteristics revealed by high-frequency seismic waves from the 2017 landslide in central Japan, Seismological Research Letters, Vol. 91, No. 5, 2020, doi:10.1785/0220200032
  • Oba, A., T. Furumura, and T. Maeda, “Data-assimilation-based early forecasting of long-period ground motions for large earthquakes along the Nankai Trough”, Journal of Geophysical Research: Solid Earth, doi:10.1029/2019JB019047
  • Saito, Y., T. Nonomura, K. Nankai, K. Yamada, K. Asai, Y. Sasaki and D. Tsubakino, doi:10.1109/LSENS.2020.2999186
  • Matsumoto, S., Y. Iio, S. Sakai, and A. Kato, "Inelastic strain in the hypocentral region of the 2000 Western Tottori earthquake (M7.3) inferred from aftershock seismic moment tensors", Earth Planets Space, Vol. 72, No. 62, doi:10.1186/s40623-020-01186-2
  • Shibue, R. and F. Komaki, "Deconvolution of calcium imaging data using marked point processes",PLOS Computational Biology, vol. 16, No. 3, 2020, doi:10.1371/journal.pcbi.1007650
  • Ogawa, M., K. Nakamoto, and T. Sei, “On the fractional moments of a truncated centered multivariate normal distribution”, Communications in Statistics - Simulation and Computation, 2020 (published online), doi:10.1080/03610918.2020.1725821
  • Nakamura, K., K. Yano, and F. Komaki, Adjacency-based regularization for partially ranked data with non-ignorable missing, Computational Statistics & Data Analysis, vol. 145, 106905, 2020 doi:10.1016/j.csda.2019.106905
  • Yano, K. and K. Kato, On frequentist coverage errors of Bayesian credible sets in moderately high dimensions, Bernoulli, vol. 26, pp.616-641, 2020, doi:10.3150/19-BEJ1142
  • Hayashida, Y., S. Matsumoto, Y. Iio, S. Sakai, and A. Kato, Non-double-couple micro-earthquakes in the focal area of the 2000 Western Tottori earthquake (M 7.3) via hyperdense seismic observations, Geophysical Research Letters, vol. 47, No. 4, e2019GL084841, 2020, doi:10.1029/2019GL084841
  • Gardonio, B., A. Schubnel, S. Das, H. Lyon-Caen, D. Marsan, M. Bouchon, and A. Kato, The pre- and post-seismic phases of the 700 km deep Mw7.9 Bonin Islands earthquake, Japan, Geophysical Research Letters, vol. 47, No. 1, e2019GL085, 2020, doi:10.1029/2019GL085589
  • Härkönen, M., T. Sei, and Y. Hirose, Holonomic Extended Least Angle Regression, Information Geometry, Online first, doi:10.1007/s41884-020-00035-1

2019

  • Nakamura, R. and T. Shiina, Three-dimensional S-wave attenuation structure in and around source area of the 2018 Hokkaido Eastern Iburi Earthquake, Japan, Earth, Planets and Space, 2019. doi:10.1186/s40623-019-1095-6
  • Yoshimitsu, N., Ellsworth, W. L., & Beroza, G. C. ( 2019). Robust Stress Drop Estimates of Potentially Induced Earthquakes in Oklahoma:Evaluation of Empirical Green's Function. Journal of GeophysicalResearch: Solid Earth, 124. doi:10.1029/2019JB017483
  • Ito, S., H. Nagao, T. Kurokawa, T. Kasuya, and J. Inoue, Bayesian inference of grain growth prediction via multi-phase-field models, Physical Review Materials, Vol. 3, Issue 5, 053404, doi:10.1103/PhysRevMaterials.3.053404, 2019.
  • Kato, A. and T. Ueda, Source fault model of the 2018 Mw 5.6 northern Osaka earthquake, Japan, inferred from the aftershock sequence, Earth, Planets and Space, Vol. 77, No. 11, 2019. doi:10.1186/s40623-019-0995-9
  • Ueda, T. and A. Kato, Seasonal Variations in Crustal Seismicity in San‐in District, Southwest Japan, Geophysical Research Letters, Vol. 46, 2019. doi:10.1029/2018GL081789
  • Sugan, M., A. Vuan, A. Kato, M. Massa, and G. Amati, Seismic evidence of an early afterslip during the 2012 sequence in Emilia (Italy), Geophysical Research Letters, Vol. 46, pp. 625-635, 2019. doi:10.1029/2018GL079617
  • Furumura, T., T. Maeda, and A. Oba, Early forecast of long-period ground motions via data assimilation of observed ground motions and wave propagation simulations, Geophysical Research Letters, Vol. 46, pp. 138-147, 2019. doi:10.1029/2018GL081163
  • Yoon, C.E., N. Yoshimitsu, W. L. Ellsworth, and G. C. Beroza, Foreshocks and mainshock nucleation of the 1999 Mw 7.1 Hector Mine, California, earthquake, Journal of Geophysical Research: Solid Earth, Vol. 124, 2019 doi:10.1029/2018JB016383
  • Yuchen Wang, K. Satake, O. Sandanbata, T. Maeda, and H. Su, Tsunami data assimilation of cabled ocean bottom pressure records for the 2015 Torishima volcanic tsunami earthquake, Journal of Geophysical Research: Solid Earth, Vol. 124, No. 10, pp.10413-10422, 2019, doi:10.1029/2019JB018056
  • Baba, S., A. Takeo, K. Obara, T. Matsuzawa, and T. Maeda, Comprehensive detection of very low frequency earthquakes off the Hokkaido and Tohoku Pacific coasts, northeastern Japan, Journal of Geophysical Research: Solid Earth, Vol. 125, No. 1, 2019, doi:10.1029/2019JB017988
  • Kano, M., A. Kato and K. Obara, Episodic tremor and slip silently invades strongly locked megathrust in the Nankai Trough, Scientific Reports, 9, 9270, 2019, doi:10.1038/s41598-019-45781-0
  • Kano, M. and Y. Kano, Possible slow slip event beneath the Kii Peninsula, southwest Japan, inferred from historical tilt records in 1973, Earth, Planets and Space, Vol. 71, No. 95, 2019, doi:10.1186/s40623-019-1076-9
  • Matsuda, T. and F. Komaki, Empirical Bayes matrix completion,Computational Statistics & Data Analysis, Vol. 137, pp.195–210, 2019, doi:10.1016/j.csda.2019.02.006
  • Araki, K., Y. Hirose and F. Komaki, Paired Comparison Models with Age Effects Modeled as Piecewise Quadratic Splines, International Journal of Forecasting, Vol. 35, Issue. 2, pp. 733-740, 2019, doi:10.1016/j.ijforecast.2018.02.006
  • Kurata, S., and E. Hamada, On the consistency and the robustness in model selection criteria, Communications in Statistics - Theory and Methods, doi:10.1080/03610926.2019.1615093

 

2018

  • Hirata, N., and R. Kimura, The Earthquake in Ōsaka-Fu Hokubu on 18 June 2018 and its Ensuing Disaster, Journal of Disaster Research, Vol.13, No.4, pp. 813-816, 2018. doi:10.20965/jdr.2018.p0813
  • Denolle, M. A., P. Boué, N. Hirata, and G. C. Beroza, Strong shaking predicted in Tokyo from an expected M7+ Itoigawa-Shizuoka earthquake, Journal of Geophysical Research: Solid Earth, Vol. 123, Issue 5, 2018. doi:10.1029/2017JB015184
  • Viens, L., M. A. Denolle, N. Hirata, and S. Nakagawa, Complex near-surface rheology inferred from the response of greater Tokyo to strong ground motions, Journal of Geophysical Research: Solid Earth, Vol. 123, Issue 7, 2018. doi:10.1029/2018JB015697
  • Shiina, T., H. Takahashi, T. Okada, and T. Matsuzawa, Implications of seismic velocity structure at the junction of Kuril-northeastern Japan arcs on active shallow seismicity and deep low-frequency earthquakes, Journal of Geophysical Research: Solid Earth, Vol. 123, 2018 doi:10.1029/2018JB015467
  • Araki, K., Y. Hirose, and F. Komaki, Paired Comparison Models with Age Effects Modeled as Piecewise Quadratic Splines, International Journal of Forecasting, Vol. 35, Issue. 2, pp. 733-740, 2019 doi:10.1016/j.ijforecast.2018.02.006
  • Takasu, Y., K. Yano, and F. Komaki, Scoring rules for statistical models on spheres, Statistics and Probability Letters, Vol. 138, pp. 111-115, 2018 doi:10.1016/j.spl.2018.02.054
  • Tanaka, T., Y. Hirose and F. Komaki. Second-Order Matching Prior Family Parametrized by Sample Size and Matching Probability, Statistical Papers, 2018, doi:10.1007/s00362-018-1001-5
  • Schorlemmer, D., N. Hirata, Y. Ishigaki, K. Doi, K.Z. Nanjo, H. Tsuruoka, T. Beutin, and F. Euchner, Earthquake detection probabilities in Japan, Bulletin of the Seismological Society of America, Vol. 108, No. 2, pp. 702-717, doi:10.1785/0120170110, 2018.
  • Vuan, A., M. Sugan, G. Amati, and A. Kato, Improving the detection of low-magnitude seismicity preceding the Mw 6.3 L'Aquila Earthquake: Development of a scalable code based on the cross correlation of template earthquakes, Bull. Seism. Soc. Am., Vol. 108, No. 1, pp. 471-480, doi:10.1785/0120170106, 2018.
  • Kuwatani, T., H. Nagao, A. Okamoto, K. Yoshida, S. Ito, and T. Okudaira, Recovering the past history of natural recording media by Bayesian inversion, Physical Review E 98, doi:10.1103/PhysRevE.98.043311

Conferences

2022年

  • Shiina, T., M. Kano, "MCMC approach for determining earthquake hypocenters with 1-D velocity models around a structural boundary", AOGS 2022, IG06-A009, Oral, Online, 2022.8.2[Invited]
  • Nagao, H., "Detection of Deep Low-Frequency Tremors from Continuous Paper Records at a Station in Southwest Japan About 50 Years Ago Based on Convolutional Neural Network for Seismogram Images", AGU Fall Meeting 2022, 2022.12.17[Oral]
  • Yano, K., "Posterior Covariance Information Criterion", ISI-ISM-ISSAS Joint Conference 2022, 2022.1.15[Oral]

 

2021年

  • Sei, T., "A correlation-shrinkage prior for the 2-dimensional Wishart model", CMStatistics2021, 2021.12.20[Oral]
  • Yano, K., "On estimating generalization gap via the functional variance in overparameterized models", CMStatistics2021, 2021.12.19[Invited]
  • Kurihara, R., "DLF earthquakes beneath volcanoes in Japan", MAARE LECTURE SERIES, 2021.11.1[Invited]
  • Nagata, T., Extension of low-SNR coherent signal detection method based on spectral matrix analysis by using wavelet transformation and time delay coordinate", The 14th SEGJ International Symposium, 2021.10.19[Oral]
  • Ito, S.,"Adjoint-based Uncertainty Quantification of Frictional Inhomogeneity on Slow-slipping Fault", AOGS2021(Asia Oceania Geosciences Society 18th Annual Meeting), 2021.8.4[Oral]
  • Kaneko, R., "Convolutional Neural Network to Detect Deep Low-Frequency Tremors from Seismic Waveform Images", The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD2021) Workshop on Machine Learning for Measurement Informatics(MLMEIN2021), 2021.5.11[Oral]
  • Anzaki, R.,"Pattern formation via the time-dependent Ginzburg-Landau equation in spin systems", AOGS2021(Asia Oceania Geosciences Society 18th Annual Meeting), 2021.8.3[Oral]
  • Morikawa, K.,"Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression", AOGS2021(Asia Oceania Geosciences Society 18th Annual Meeting), 2021.8.3[Oral]
  • Hirose, Y., "An Information-Geometric Method for Parameter Estimation on Moving-Average Models", EcoSta2021, 2021.6.24[Invited]
  • Oda, H., "Shrinkage priors on complex-valued Gaussian processes", EcoSta2021, 2021.6.24[Poster]
  • Komaki, F., "Information geometry of predictive densities and its application to Poisson-based models", EAC-ISBA2021, 2021.6.24[Oral]
  • Kaneko, R., "Convolutional Neural Network to Detect Deep Low-Frequency Tremors from Seismic Waveform Images", The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD2021) Workshop on Machine Learning for Measurement Informatics(MLMEIN2021), 2021.5.11[Oral]

 

2020年

  • Kano, M., "Detailed spatial slip distribution for short-term slow slip events and the spatial relation to megathrusts along the Nankai subduction zone, southwest Japan", AGU Fall meeting 2020, 2020.12.01[Invited]
  • Nagata, T., "Data-driven sensor selection method using ADMM for a large-scale problem", 2020 Division of Fluid Dynamics 73rd Annual Meeting, 2020.11.23[Oral]
  • Nakai, K., "Effect of Objective Function on Sparse Sensor Placement using Greedy Method", 2020 Division of Fluid Dynamics 73rd Annual Meeting, 2020.11.23[Oral]
  • Mukuhira, Y., "Low-SNR Microseismic Detection Using Direct P-Wave Arrival Polarization", SSJ Fall meeting 2020, 2020.10.31[Oral]
  • Kaneko, R., "Numerical experiments towards detection of deep low-frequencytremors from seismic waveform images via convolutional neuralnetwork", SSJ Fall meeting 2020, 2020.10.30[Oral]
  • Sasaki, Y., "Design of Observers for the Flow Around a Cylinder Using Machine Learning Techniques", SICE Annual Conference 2020, 2020.09.26[Oral]
  • Sei, T., "An objective general index and its generalizations", Joint Statistical Meetings(JSM2020), 2020.08.05[Oral]
  • Morikawa, K., "Prediction of aftershocks with Gaussian process regression: application to the 2004 Chuetsu Earthquake", JpGU-AGU Joint Meeting 2020, 2020.07.13[Poster]
  • Haba, T., "Decomposition of multiple seasonal components in a seasonal adjustment model", JpGU-AGU Joint Meeting 2020, 2020.07.13[Poster]
  • Nagao, H., "Twin experiment of 4DVar capable of uncertainty quantification based on seismic wavefield propagation", JpGU-AGU Joint Meeting 2020, 2020.07.13[Poster]
  • Kano, M., "An application of reversible-jump MCMC method for simultaneous determinations of 1-D velocity structures and hypocenters around a fault(I): Formulation", JpGU-AGU Joint Meeting 2020, 2020.7.13[Poster]
  • Shiina, T., "An application of reversible-jump MCMC method for simultaneous determinations of 1-D velocity structures and hypocenters around a fault(II): Synthetic test", JpGU-AGU Joint Meeting 2020, 2020.7.13[Poster]
  • Kurihara, R., "Comprehensive analysis of deep low-frequency earthquakes in 52 regions all over Japan", JpGU-AGU Joint Meeting 2020.07.13[Poster]
  • Kurata, S., "A hidden Markov model for overlapping of seismic waves (Discussion Forum Session)", JpGU-AGU Joint Meeting 2020, 2020.7.13[Oral]
  • Ito, S., "Uncertainty Quantification for Inhomogeneous Frictional Features in a Slow-Slipping Fault Based on a Large-Scale Four-Dimensional Variational Data Assimilation", JpGU-AGU Joint Meeting 2020, 2020.7.13[Oral]
  • Morikawa, K., "Prediction of Aftershocks With Gaussian Process Regression: Application to the 2004 Chuetsu Earthquake", JpGU-AGU Joint Meeting 2020, 2020.7.13[Oral]
  • Yano, K., "Bayesian l1 trend filtering for slow slip detection", JpGU-AGU Joint Meeting 2020, 2020.7.12-16[Poster]
  • Kurata, S., "A hidden Markov model for overlapping of seismic waves", JpGU-AGU Joint Meeting 2020, 2020.7.12-16[Poster]
  • Kurata, S., "A Bayesian seismic tomography adapted to discontinuities", JpGU-AGU Joint Meeting 2020, 2020.7.12-16[Poster]
  • Nagata, T., "Towards application of data-driven sparse sensor placement technique developed in fluid mechanics to seismology", JpGU-AGU Joint Meeting 2020, 2020.7.12-16[Poster]
  • Ito, S., "Adjoint-based exact Hessian-vector multiplication using symplectic Runge--Kutta methods", The 2nd Study Group on Solid Earth Science Data Assimilation(Japan), 2020.2.14[Oral]
  • Kato, A., "Preparation processes leading up to the 2014 phreatic eruption of Mount Ontake, Japan", International Workshop on the mechanism of Phreatic Eruption(Japan), 2020.1.16[Invited]

 

2019年

  • Yano, K., "Risk-estimation based predictive densities for heteroskedastic hierarchical models", International Chinese statistics Association(ICSA) 2019(China), 2019.12.22[Invited]
  • Nagao, H., "Uncertainty quantification for parameters and time series forecasting based on data assimilation", 12th International Conference on the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2019)(UK), 2019.12.16[Oral]
  • Yano, K., "On estimation and prediction for high-dimensional Poisson models with quasi-zero inflation", CMStatistics 2019(UK), 2019.12.14[Invited]
  • Oda, H., "Shrinkage priors on complex statistical manifolds", CMStatistics 2019(UK), 2019.12.14[Oral]
  • Shiina, T., "Attenuation structure in northeastern Japan inferred from characteristic high-frequency wave records of intraslab earthquakes", American Geophysical Union (AGU) Fall Meeting 2019(USA), 2019.12.12[Poster]
  • Hirose, Y., "Geometrical Approach to Data Science", 2019 Winter International Symposium on Big-Data, Cybersecurity and IoT(Japan), 2019.12.6[Invited]
  • Yoshimitsu, N., "Estimation of source parameters in the Bayesian framework by Markov Chain Monte Carlo method", American Geophysical Union(AGU) Fall Meeting 2019(USA), 2019.12.13[Oral]
  • Sei, T., "Holonomic gradient method for computing rank likelihood functions", Differential Systems: from theory to computer mathematics(Japan), 2019.12.3[Oral]
  • Sei, T., "Consistency of the objective general index in high dimensional settings", International Symposium on Theories and Methodologies for Large Complex Data(Japan), 2019.11.23[Oral]
  • Yano, K., "Exact minimax estimation and prediction for high dimensional sparse count data ", Hiroshima University Hiroshima Statistics Group Friday Seminar (Japan), 2019.11.15[Invited]
  • Kato, A., "The evolution of fault slip rate before earthquake: The interplay of slow and fast slip", The International Conference in Commemoration of 20th Anniversary of the 1999 Chi-Chi Earthquake(Taiwan), 2019.9.16[Invited]
  • Yoshimitsu, N., "Evaluation of source parameters in the Bayesian framework by Markov Chain Monte Carlo method", SSJ Fall meeting 2019(Japan), 2019.9.18[Oral]
  • Oda, H., "Information Geometry of Complex Autoregressive Models and its Positive Superharmonic Priors", Japanese Federation of Statistical Science Associations (Japan), 2019.9.11[Oral]
  • Sei, T., "On geometric properties of the textile set and strict textile set", Geometric Science of Information (GSI) 2019 ENAC(France), 2019.8.27[Oral]
  • Shiina, T., "Optimized Wavefield Estimations Based on Seismic Wave Gradiometry Method", 11th International Workshop on Statistical Seismology(StatSei11)(Japan), 2019.8.18[Oral]
  • Yano, K., "Earthquake Detection Using Deep Learning for Continuous Seismic Network Records", 11th International Workshop on Statistical Seismology(StatSei11)(Japan), 2019.8.18[Oral]
  • Yamanaka, Y., "Local Earthquake Tomography Using Structured Sparsity Regularization for Seismic Velocity Modeling", 11th International Workshop on Statistical Seismology(StatSei11)(Japan), 2019.8.18[Oral]
  • Yoshimitsu, N., "Uncertainty Evaluation of Source Parameter Estimates by MCMC in Oklahoma", 11th International Workshop on Statistical Seismology(StatSei11)(Japan), 2019.8.18[Oral]
  • Ito, S., "Uncertainty Quantification Based on 4DVar Data Assimilation for Massive Simulation Models", 11th International Workshop on Statistical Seismology(StatSei11)(Japan), 2019.8.18[Oral]
  • Shiina, T., "An optimization for estimating seismic wavefields in MeSO-net", 11th International Workshop on Statistical Seismology(StatSei11)(Japan), 2019.8.18[Poster]
  • Haba, T., "Decomposition of Multiple Seasonal Components in a Seasonal Adjustment Model", AOGS 2019(Singapore), 2019.8.2[Poster]
  • Morikawa, K.,"Bias Correction for the Distribution of Aftershocks Within Short-Term Period Immediately After Large Mainshock", 16th Annual Meeting AOGS 2019(Singapore), 2019.8.2[Oral]
  • Yano, K., "On frequentist coverage errors of Bayesian credible sets in moderately high dimensions", European Meeting of Statisticians(EMS) 2019(Italy), 2019.7.24[Invited]
  • Nagao, H., "Bayesian inference for phase-field models with non-time-series data", 27th International Union of Geodesy and Geophysics (IUGG) General Assembly(Canada), 2019.7.14[Oral]
  • Okudo, M., "Asymptotic Properties of Bayes Estimators Based on Shrinkage Priors for Curved Exponential Families", THE 4TH EASTERN ASIA MEETING ON BAYESIAN STATISTICS, EAC-ISBA 2019(Japan), 2019.7.14[Oral]
  • Yano, K., "The Berry-Esseen type bound for the Bernstein-von Mises theorem in moderately high dimensions", THE 4TH EASTERN ASIA MEETING ON BAYESIAN STATISTICS, EAC-ISBA 2019(Japan), 2019.7.13[Invited]
  • Yano, K., "On the construction of adaptive predictive densities for sparse count data", Econometrics and Statistics(EcoSta) 2019(Taiwan), 2019.6.26[Invited]
  • Komaki, F. "A class of tractable predictive densities for curved exponential families", Symposium in Memory of Charles Stein(Singapore), 2019.6.18[Oral]
  • Yoshimitsu, N., "Uncertainty evaluation of source parameter estimates byMCMC in Oklahoma", JpGU2019(Japan), 2019.5.27[Poster]
  • Shiina, T., "Strong S-wave attenuation in the mantle wedge beneath the NE Japan: Possibly control high-frequency wave propagations of intraslab earthquakes", JpGU2019(Japan), 2019.5.27[Poster]
  • Kato, A., "Spatio-temporal Evolution of Micro-Earthquakes illuminated by “0.1 manten” Hyper Dense Seismic Observation: Implication of Fault Growth", JpGU2019(Japan), 2019.5.28[Oral]
  • Kato, A., "Source fault model of the 2018 Mw 5.6 northern Osaka earthquake, Japan, inferred from the aftershock sequence: Implication for the seismic hazard", JpGU2019(Japan), 2019.5.28[Oral]
  • Kato, A., "High-frequency radiation prior to semi-volcanic low-frequency earthquake in Eastern Shimane, SW Japan, illuminated by “0.1 manten” Hyper Dense Seismic Observation", JpGU2019(Japan), 2019.5.29[Oral]
  • Ito, S., "Uncertainty quantification based on 4DVar data assimilation for massive simulation models", JpGU2019(Japan), 2019.5.27[Oral]
  • Morikawa, K., "Bias Correction for the Distribution of Aftershocks Within Short-Term Period Immediately After Large Main Shock", JpGU2019(Japan), 2019.5.27[Oral]
  • Yano, K., "Deep-learning-based Earthquake Detection for Continuous Seismic Network Records", JpGU2019(Japan), 2019.5.27[Oral]
  • Nagao, H., "Bayesian inference of grain growth prediction via multi-phase-field models", European Geosciences Union (EGU) General Assembly(Austria), 2019.4.12[Oral]
  • Yano, K. "Adaptive minimax predictive density for sparse Poisson models", New and Evolving Roles of Shrinkage in Large-Scale Prediction and Inference (19w5188)(Canada), 2019.4.11[Invited]
  • Komaki, F., "Shrinkage priors for nonparametric Bayesian prediction of nonhomogeneous Poisson processes", New and Evolving Roles of Shrinkage in Large-Scale Prediction and Inference (19w5188)(Canada), 2019.4.9[Invited]
  • Hirata, N., "Metropolitan Tokyo at Risk", Megacities at Risk(Phillipine), 2019.4.25[Invited]
  • Nagao, H., "Seismic wavefield imaging of long-period ground motion in the Tokyo Metropolitan area, Japan", International Conference on Mathematical Modeling and Applications ICMMA2018(Japan), 2019.2.11[Invited]
  • Ito, S., "Data assimilation for grain growth prediction based on a second-order adjoint method", International Conference on Mathematical Modeling and Applications ICMMA2018(Japan), 2019.2.11[Oral]
  • Haba, T., "Decomposition of multiple seasonal components in a seasonal adjustment model", International Conference on Mathematical Modeling and Applications ICMMA2018(Japan), 2019.2.11[Oral]

 

2018年

  • Komaki, F., "Improper priors for nonparametric Bayes estimation of Poisson intensity functions", CMStatistics 2018(Italy), 2018.12.16[Oral]
  • Okudo, M., "Scale-invariant estimations for the factor analysis model based on its geometric structure", CMStatistics 2018(Italy), 2018.12.15[Oral]
  • Kato, A. and T. Igarashi, "Seasonal variation of crustal seismicity in San-in district, southwest Japan", AGU Fall Meeting2018(USA), 2018.12.12[Oral]
  • Maeda, T., "Separation of seismic wavefield into P-SV and SH components by using spatial derivatives: ", AGU Fall Meeting2018(USA), 2018.12.11[Oral]
  • Shiina, T., T. Maeda, M. Kano, A. Kato, and N. Hirata, "A seismic wavefield reconstruction in the MeSO-net station in the Kanto area of Japan ", AGU Fall Meeting 2018(USA), 2018.12.11[Poster]
  • Yoshimitsu, N., T. Maeda., W. Ellsworth, "Evaluation of source parameter estimates with Markov Chain Monte Carlo method", AGU Fall Meeting 2018(USA), 2018.12.11[Poster]
  • Ueda, T. and A. Kato, "Seasonal variation of crustal seismicity in San-in district, southwest Japan", AGU Fall Meeting2018(USA), 2018.12.10[Oral]
  • Sei, T., "Inconsistency of diagonal scaling under high-dimensional limit", International Symposium on Statistical Theory and Methodology for Large Complex Data(Japan), 2018.11.18[Oral]
  • Yoshimitsu, N., T. Maeda, and W. Ellsworth, "Variation of source parameters in Oklahoma estimated by Markov Chain Monte Carlo method", Seismological Society of Japan 2018 Fall Meeting(Japan), 2018.10.11[Oral]
  • Nagao, H., "Data assimilation based on four-dimensional variational method: Optimization and uncertainty quantification", 3rd International Symposium on Research and Education of Computational Science RECS 2018(Japan), 2018.9.21[Invited]
  • Minami, K., "On low-dimensional piecewise linear support estimation.", Japanese Joint Statistical Meeting2018(Japan), 2018.9.11[Oral]
  • Kano, M., H. Nagao, K. Nagata, S. Ito, S. Sakai, S. Nakagawa, M. Hori, and N. Hirata, "Seismic wavefield imaging of long-period ground motion in the Tokyo metropolitan area, Japan", Asia Oceania Geosciences. Society, 15th Annual General Meeting(USA), 2018.6.6[Oral]
  • Nagao, H., "Seismic wave field imaging of long-period ground motion in the Tokyo Metropolitan area, Japan", Asia Oceania Geoscience Society (AOGS) Annual Meeting 2018(USA), 2018.6.6[Oral]
  • Ito, S., "Grain growth prediction based on data assimilation by implementing 4DVar on phase-field models", Asia Oceania Geoscience Society (AOGS) Annual Meeting 2018(USA), 2018.6.6[Oral]
  • Nagao, H., "Data assimilation for massive autonomous systems based on a second-order adjoint method", 2nd International Conference on Econometrics and Statistics(EcoSta 2018)(Hong Kong), 2018.6.19[Oral]
  • Komaki, F., "Numerical computation of the higher order central moments of the multivariate normal distribution", Ecosta2018(Hong Kong), 2018.6.20[Oral]
  • Sei, T., "An objective general index for separation", IMS-APRM 2018(Singapore), 2018.6.27[Oral]
  • Yano, K. and F. Komaki, "Non-asymptotic minimax adaptiation and weak admissibility using random sieve priors", IMS-APRM 2018(Singapore), 2018.6.27[Oral]
  • Okudo, M., "Priors for the factor analysis model based on its geometric structure", IMS-APRM 2018(Singapore), 2018.6.27[Oral]
  • Shiina, T., K. Katsumata, and K. Yomogida, "Strong S-wave attenuation in the mantle wedge beneath northeastern Japan retrieved by high-frequency later phases for intraslab earthquakes", AOGS 2018(USA), 2018.6.7[Poster]
  • Kato, A., "Episodic unlocking of fault and earthquake", JpGU2018(Japan), 2018.5.21[Invited]
  • Sei, T., "Admission decision using the maximum entropy principle", Entropy 2018(Spain), 2018.5.15[Poster]
  • Ito, S., "Grain growth prediction and its uncertainty based on multi-phase-field model with 4DVar and second-order adjoint method", European Geosciences Union (EGU) General Assembly 2018(Austria), 2018.4.11[Oral]
  • Yano, K. and F. Komaki, "Non-asymptotic minimax Bayesian nonparametric estimation based on invariance", KAKENHI meeting "Current Topics on Algebraic Statistics and Related Fields"(Japan), 2018.3.8[Oral]
  • Matsumoto, K. and T. Sei, "Computation of the rank likelihood of Gaussian copula models by the holonomic gradient method", KAKENHI meeting "Current Topics on Algebraic Statistics and Related Fields"(Japan), 2018.3.8[Oral]

 

2017年

  • Komaki, F., "A predictive approach to statistical problems with multiplicity", CMStatistics 2017(UK), 2017.12.16
  • Wang. Y., K. Satake, A. R. Gusman, and T. Maeda, "Dynamic tsunami data assimilation (DTDA) based on Green's function: theory and application", American Geophysical Union Fall Meeting 2017(USA), 2017.12.11
  • Nagao, H., M. Kano, K. Nagata, S. Ito, S. Sakai, S. Nakagawa, M. Hori, and N. Hirata, "Seismic wavefield imaging of long-period ground motion in the Tokyo metropolitan area, Japan", American Geophysical Union Fall Meeting 2017(USA), 2017.12.12
  • Hirose, Y., "A Decision-theoretic Property of Conditional Normalized Maximum Likelihood Distribution", CMStatistics 2017(UK), 2017.12.17
  • Mukai, Y., T. Furumura, and T. Maeda, "Characterizing directional variations in long-period ground motion amplifications in the Kanto Basin, Japan", American Geophysical Union Fall Meeting 2017(USA), 2017.12.13
  • Kato, A., "Slip towards the surface new insights from recent crustal earthquakes in Japan", Workshop on Frontiers in Studies of Earthquakes and Faults(China), 2017.11.29
  • Nagao, H., S. Ito, "Data assimilation for massive autonomous systems based on a second-order adjoint method", Taiwan-Japan Joint Workshop on Inverse Problems in Kanazawa 2017(Japan), 2017.11.18

Award

FY2022

  • Prof. Kato received the "2022 Prime Minister's Commendation for Disaster Prevention" from Cabinet Office. (2022)
  • Prof. Komaki received the "27th the Japan Statistical Society Award" from the Japan Statistical Society. (2022.6)
  • Prof. Yano received the "36th Ogawa Research Encouragement Award" from the Japan Statistical Society. (2022.6)
  • Dr. Kano received the "30th Tsuboi Prize of the Geodetic Society of Japan" from the Geodetic Society of Japan. (2022.6.2)

 

FY2020

  • Mr. Sasaki received the "SICE Annual Conference Young Author's Award" from the Society of Instrument and Control Engineers (SICE). (2020.9.26)
  • Prof. Nonomura received the "Visualization Information Society Award For Encouragement" from Visualization Information Society.(2020.9.1)
  • Dr. Mukuhira received the "Young Scientist Award of Commendation for Science and Technology" from the Minister of Education, Culture, Sports, Science and Technology. (2020.5.7)
  • Prof. Maeda received the "Paper Award" from the Seismological Society of Japan. (2020.5.1)
  • Dr. Yoshimitsu received the "Young Scientist Award" from the Seismological Society of Japan. (2020.5.1)

 

FY2019

  • Prof. Hirose et al. received the "Technical Research Award" from Hokkaido Branch of the Information Processing Society (2019.10.5)
  • Dr. Okudo received the "Excellent Reporting Award" from Japanese Joint Statistical Meeting 2019 (2019.9.12)
  • Prof. Hirose received the "Outstanding Poster Award 1st Prize" from Data Science Statistics & Visualisation(DSSV) 2019 (2019.8.15)
  • Prof. Kato et al. received the "EPS Excellent Paper Award 2018" from Earth, Planets and Space，Springer Nature(2019.5.29)

 

FY2018

  • Dr. Kano received the "Young Scientist Award" from the Seismological Society of Japan. (2019.3.19)

 

FY2017

  • Prof. Hirata received the "2017 Prime Minister's Commendation for Disaster Prevention" from Cabinet Office. (2017)