- Director General of Japanese Federation of Statistical Science Associations, 2017-.

- President of Japanese Classification Society, 2017-.

- Fellow of Japanese Society of Computational Statistics, 2017-.

- President of Japanese Society of Computational Statistics, 2015-2016.

- Vice President of Japanese Society of Computational Statistics, 2011-2014.

- Elected member of International Statistical Institute, 2004-.

- A Councilor of the Japan Statistical Society, 1992-1996, 2002-2007, 2010-.

- Steering Board of Mathematical Society of Japan, 2001-2002, 2006-2007.

- Associate editor of Computational Statistics and Data Analysis for the official Journal of International Association for Statistical Computing, 2005-2009.

- A Board member of The Asian Regional Section of the International Association for Statistical Computing, 2005-2017.

- Editor-in-Chief of Bulletin of the Computational Statistics of Japan, 2005-2010.

(1) Kurihara, K., Myers, W.L. and Patil, G.P. (2000). Echelon analysis of the relationship between population and land cover patterns based on remote sensing data. Community Ecology, 1, 103-122.

(2) Kurihara K. and Hong, H. P. (2002). Detection of Hotspots for Geospatial Data with Echelon Analysis based on Spatial Scan Statistics. Proceedings of the 4th ARS Conference of the IASC, 189-192.

(3) Kurihara, K. (2003). The detection of hotspots based on the hierarchical spatial structure. Bulletin of the Computational Statistics of Japan, 15(2), 171-183.

(4) Kurihara, K. (2004). Classification of geospatial lattice data and their graphical Representation. Classification, Clustering, and Data Mining Applications (Edited by D. Banks et al.), Springer, 251-258.

(5) Ishioka, F. and Kurihara, K. (2004). Direct calculation for the distribution of spatial scan statistics for lattice data. Proceedings of the Eighth China-Japan Symposium on Statistics, 126-129.

(6) Ishioka, F. and Kurihara, K. (2005). Detection of Hotspots for Principal Component Space using Voronoi Regions and Echelon analysis. Proceedings of the 5th IASC Asian Conference on Statistical Computing, 77-80.

(7) Kurihara, K., Ishioka, F. and Moon, S. (2006). Detection of Hotspots on Spatial Data by Using Principal Component Analysis. Journal of the Korean Data Analysis Society, 8(2), 447-458.

(8) Ishioka, F. and Kurihara, K. (2006). Spatial Structure for Multidimensional Spatial Lattice Data. Proceedings in Computational Statistics, (Edited by A. Rizzi and M. Vichi) Physica-Verlag, 1209-1216.

(9) Myers, W. L., Kurihara, K., Patil, G. P. and Vraney, R. (2006). Finding upper level sets in cellular surface data using echelons and SaTScan. Environmental and Ecological Statistics, 13(4), 379-390.

(10) Ishioka, F., Kurihara, K., Suito, H., Horikawa, Y. and Ono, Y. (2007). Detection of hotspots for three-dimensional spatial data and its application to environmental pollution. Journal of Environmental Science for Sustainable Society, 1, 15-24.

(11) Na, M., Kurihara, K. and Gion, N. (2007). Optimal Allocation of final waste disposal sites based on physical and social factors. Journal of Environmental Science for Sustainable Society, 1, 25-32.

(12) Kurihara, K. and Ishioka, F. (2007). Classification of Spatial Data based on the Pattern of Hierarchical Structure and its Applications. Journal of the Japan Statistical Society, 37(1), Series J, 113-132.

(13) Tomita, M., Hatsumichi, M. and Kurihara, K. (2008). Identify LD blocks based on hierarchical spatial data. Computational Statistics & Data Analysis. 52(4), 1806-1820.

(14) Ishioka, F. and Kurihara, K. (2008). A New Approach to Spatial Clustering Based on Hierarchical Structure, Proceedings of COMPSTAT2008, (Edited by P. Brito) Physica-Verlag, 193-200.

(15) Han, S., Ishioka, F. and Kurihara, K. (2008). Detection of Space-Time Hotspots for Korean Earthquake Data Using Echelon Analysis. Proceedings of COMPSTAT2008, (Edited by P. Brito) Physica-Verlag, 785-792.

(16) Oda, M. and Kurihara, K. (2009) Statistical Analysis of the Birds Data around the Final Waste Disposal Site, Journal of Environmental Science for Sustainable Society, 3, 1-8.

(17) Ishibashi, Y., Hara, A., Okayasu, I., and Kurihara, K. (2010). Neural Network Approach for Histopathological Diagnosis of Breast Diseases with Images Proceedings of COMPSTAT2010, (Edited by Lechevallier, Y. and Saporta, G.) Physica-Verlag, 1151-1158.

(18) Tomita, M. and Kurihara, K. (2010). Comprehensive Assessment on Hierarchical Structures of DNA markers Using Echelon Analysis. Proceedings of COMPSTAT2010, (Edited by Lechevallier, Y. and Saporta, G.) Physica-Verlag, 1645-1652.

(19) Al-Sultan, A. T., Ishioka, F. and Kurihara, K. (2011). Airlines scheduling model and solution algorithms. Communications of the Korean Statistical Society, 18(2), 257-266.

(20) Nakatamari, H., Ueda, T., Ishioka F., Raman, B., Kurihara, K., Rubin, G., Ito, H. and Sze, D. (2011). Discriminant Analysis of Native Thoracic Aortic Curvature: Risk Prediction for Endoleak Formation after Thoracic Endovascular Aortic Repair. Journal of Vascular and Interventional Radiology, 22(7), 974-979.

(21) Tomita, M., Kurihara, K. and Moon, S. (2011). An Application to Select Tag Loci by Using Hierarchical Structures of DNA Markers. Journal of the Korean Data Analysis Society, 13(6), 2749-2762.

(22) Na, M. Araki, M. and Kurihara, K. (2012). A Survey Study of University Students’Awareness on Social Contribution and Regional Cooperation. Journal of the Faculty of Environmental Science and Technology, 17(1), 7-21.

(23) Hayashi, K., Ishioka, F., Suito, H. and Kurihara, K. (2012). Diagnostics and improvements on statistical sensitivity analysis in a subspace method. Proceedings of COMPSTAT2012, (Edited by A. Colubi, K. Fokianos and E. J. Kontoghiorghes) Physica-Verlag, 303-316.

(24) Hayashi, K., Ishioka, F. Raman, B., Sze, D., Suito, H., Ueda, T. and Kurihara, K. (2013). Statistical Assessment for Risk Prediction of Endoleak Formation after TEVAR Based on Linear Discriminant Analysis, Analysis and Modeling of Complex Data in Behavioural and Social Sciences, (D. Vicari, A. Okada, G. Ragozini, C. Weihs Eds.) Springer, 143-151..

(25) Kim, S., Hayashi, K. and Kurihara, K. (2014). The optimal number of lags in variogram estimation in spatial data analysis. COMPSTAT 2014 Proceedings in Computational Statistics, 507-514.

(26) Hayashi, K., Ishioka, F. Raman, B., Sze, D., Suito, H., Ueda, T. and Kurihara, K. (2014). Statistical Assessment for Risk Prediction of Endoleak Formation after TEVAR Based on Linear Discriminant Analysis. Analysis and Modeling of Complex Data in Behavioural and Social Sciences, (Edited by D. Vicari, A. Okada, G. Ragozini, C. Weihs (eds.), Springer, 143-151.

(27) Hayashi, K., Ishioka, F., Ueda, T., Suito, H. and Kurihara, K. (2014). A detection of influential individuals for the Risk Prediction of Endoleak Formation after TEVAR Based on a new framework of statistical sensitivity analysis. Bulletin of the Computational Statistics of Japan, 26(2), 59-77.

(28) Hayashi, K., Ishioka, F., Raman, B., Sze, Y., Suito, H., Ueda, T. and Kurihara, K. (2014). Assessment of the Relationship Between Native Thoracic Curvature and Endoleak Formation after TEVAR Based on Linear Discriminant Analysis. German-Japanese Interchange of Data Analysis Results, (Edited by W. Gaul et al.) Springer, 179-192, DOI 10.1007/978-3-319-01264-3_16.

(29) Kim, S., Hayashi, K. and Kurihara, K. (2014). Geostatistical Data Analysis with Outlier Detection. Journal of the Korean Data Analysis Society, 16(5), 2285-2297.

(30) Hayashi, K. and Kurihara, K. (2014). Detecting a change point using statistical sensitivity analysis based on the influence function. 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), IEEE, 506?511, DOI:10.1109/SCIS-ISIS.2014.7044767.

(31) Ishioka, F. and Kurihara, K. (2016). Detection of space-time clusters for radiation data using spatial interpolation and scan statistics. Proceedings of COMPSTAT2016 (22nd International Conference on Computational Statistics), 85-97, ISBN: 978-90-73592-36-0.

(1) Kurihara, K., Suito H. and Ishioka, F. (2004). Surveillance System for Final Waste Hazards of Landfill based on Spatial Scan and Echelon Techniques, International Conference on the Future of Statistical Theory, Practice and Education, Hyderabad, Dec. 29, 2004- Jan.1, 2005, sponsored by American Statistical Association, Institute of Mathematical Statistics, et al.

(2) Kurihara, K. (2005). Classification of geospatial lattice data and its applications, Special lecture at Korea University, 2005.6.23.

(3) Kurihara, K., Suito H. and Ishioka, F. (2005). Surveillance tools for detection of spatial-temporal critical areas based on scan and echelon techniques, 90th the Ecological Society of America and 9th International Congress of Ecology, Montreal, 2005.8.4-12.

(4) Kurihara, K. (2005). Spatial clustering based on echelon and its applications, Proceedings of the International Workshop on Modelling and Data Analysis in Environmentrics, Geostatistics and Related Areas, Fukuoka, 2005.11.18.

(5) Kurihara, K., Suito H. and Ishioka, F. (2005). Surveillance system of the hazards for groundwater around the waste disposal site, Proceedings of International Statistics Conference for Statistics in the Technological Age, Kuala Lumpur, 2005.12.27-31.

(6) Kurihara, K. and Ishioka, F. (2005). Detection of Hotspots for Multivariate Spatial Data Proceedings of International Statistics Conference for Statistics in the Technological Age, Kuala Lumpur, 2005.12.28, 102.

(7) Kurihara, K. and Ishioka, F. (2008). Statistical approach for environmental problems based on spatial structure. Proceedings of JST Presto Symposium on Mathematical Sciences towards Environmental Problems. Sapporo, 2008.6.11-13.

(8) Kurihara, K. (2011). Spatial Clustering for Spatial-temporal Lattice Data and its Applications in Modern Industry. 2011 international conference: Applications of Statistical Methods in the Modern Industry, Chung-Ang University, Seoul, 2011.6.24.

(9) Ishioka, F. and Kurihara, K. (2012). Spatial Classification and Clustering Approaches based on Echelon Analysis. Joint meeting of Japanese and Italian Classification Societies, Anacapri, Italy, 2012.9.4.

(10) Tomita, M. and Kurihara, K. (2012). Association Study and Comprehended Hierarchical Structures on DNA markers. Joint meeting of Japanese and Italian Classification Societies, Anacapri, Italy, 2012.9.4.

(11) Kurihara, K. and Ishioka, F. (2013). Spatial Clustering based on Hierarchical Structure of Multidimensional Lattice data. Conference of the International Federation of Classification Societies, Tilburg, Netherland, 2013.7.15.

(12) Oda, M., Koljonen, S., Ishioka, F., Alho, P., Suito, H., Huttula, T., and Kurihara, K. (2015). A novel approach for comparing spatial data obtained by different measurement systems. The 9th Conference of the Asian Regional Section of the IASC, Singapore, 2015.12.17.

(13) Kurihara, K. and Ishioka, F. (2015). Detection of cluster for radiation monitoring data based on scan statistic. The 9th Conference of the Asian Regional Section of the IASC, Singapore, 2015.12.17.

(14) Ishioka, F. and Kurihara, K. (2017). Cluster detection using spatial scan statistic and its new development in large-scale scanning. 2017 Conference of the International Federation of Classification Societies, Tokyo, 2017.8.8.

(15) Kurihara, K. Kajinishi, S. and Ishioka, F. (2017). Statistical evaluation for spatial complexity based on echelon trees. 2017 Conference of the International Federation of Classification Societies, Tokyo, 2017.8.8.

Achievement

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