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研究業績 (2023年)

論文/Paper

  • Sun, Q., T. Miyoshi, and S. Richard, Analysis of COVID-19 in Japan with extended SEIR model and ensemble Kalman filter, Journal of Computational and Applied Mathematics. , Vol.419, Feb., 2023, https://doi.org/10.1016/j.cam.2022.114772
  • Amemiya, A., Shlok, M., T. Miyoshi, 2023: Application of recurrent neural networks to model bias correction: idealized experiments with the Lorenz-96 model., Journal of Advances in Modeling Earth Systems, https://doi.org/10.1029/2022ms003164
  • Jianyu, L., T. Koji, and M. Takemasa, 2023: A Machine Learning Approach to the Observation Operator for Satellite Radiance Data Assimilation. Journal of the Meteorological Society of Japan. Ser. II, 2023 Volume 101 Issue 1 Pages 79-95, https://doi.org/10.2151/jmsj.2023-005
  • Q. Sun, T. Miyoshi, and S. Richard, 2023: Control Simulation Experiments of Extreme Events with the Lorenz-96 Model. Nonlin. Processes Geophys., 30, 117-128. https://doi.org/10.5194/npg-30-117-2023
  • Saito, K., T. Kawabata, H. Seko, T. Miyoshi, L. Duc, T. Oizumi, M. Kunii, G. Chen, K. Ito, J. Ito, S. Yokota, W. Mashiko, K. Kobayashi, S. Fukui, E. Tochimoto,A. Amemiya, Y. Maejima, T. Honda, H. Niino, and M. Satoh, 2023: Forecast and Numerical Simulation Studies on Meso/Micro-scale High-Impact Weathers Using High-Performance Computing in Japan. Numerical Weather Prediction: East Asian Perspectives, Springer, 461-481. doi:10.1007/978-3-031-40567-9_18
  • Taylor, J., Takumi Honda, Amemiya, A., Shigenori Otsuka, Yasumitsu Maejima and Takemasa Miyoshi, 2023: Sensitivity to Localization Radii for an Ensemble Filter Numerical Weather Prediction System with 30-Second Update. Weather and Forecasting, 38, 4, 611-632. https://doi.org/10.1175/WAF-D-21-0177.1
  • Sujatmiko, K. A., Ichii, K., Murata, S. and Mulia, I. E.., 2022: Application of stress parameter from liquefaction analysis on the landslide induced tsunami simulation: A case study on the 2018 Palu tsunami. Journal of Disaster Research. doi:10.20965/jdr.2023.p0199
  • Mulia, I. E., Ueda, N., Miyoshi, T., Iwamoto, T., and Heidarzadeh, M., 2023: A novel deep learning approach for typhoon-induced storm surge modeling through efficient emulation of wind and pressure fields. Scientific Reports. 13, 7918 (2023). https://doi.org/10.1038/s41598-023-35093-9
  • Heidarzadeh, M., Iwamoto, T., Šepić, J., and Mulia, I. E., 2023: Normal and reverse storm surges along the coast of Florida during the September 2022 Hurricane Ian: Observations, analysis, and modelling. Ocean Modelling. Vol.185, 102250, https://doi.org/10.1016/j.ocemod.2023.102250
  • Ratnasari, R. N., Tanioka, Y., Yamanaka, Y., and Mulia, I. E., 2023: Development of early warning system for tsunamis accompanied by collapse of Anak Krakatau volcano, Indonesia. Frontier in Earth Science. 11, 1213493, https://doi.org/10.3389/feart.2023.1213493
  • Heidarzadeh, M., Gusman, A. R., and Mulia, I. E., 2023: The landslide source of the eastern Mediterranean tsunami on 6 February 2023 following the Mw 7.8 Kahramanmaraş (Türkiye) inland earthquake. Geoscience Letters. 10, 50., https://doi.org/10.1186/s40562-023-00304-8
  • Honda, T., Y. Sato, and T. Miyoshi, 2023: Regression-Based Ensemble Perturbations for the Zero-Gradient Issue Posed in Lightning-Flash Data Assimilation with an Ensemble Kalman Filter. Mon. Wea. Rev., 151, 2573-2586, https://doi.org/10.1175/MWR-D-22-0334.1
  • V. S. Krishnamurhty and T. Sakajo, The N-vortex problem in a doubly periodic rectangular domain with constant background vorticity, Physica D vol. 448 133728 (2023) doi.org/10.1016/j.physd.2023.133728
  • T. Sakajo, Singular solutions of nonlinear hydrodynamic equations arising in turbulence theory, Sugaku Expositions vol. 36 No. 1 pp. 93--117 (2023) (doi:10.1090/suga/478)
  • Y. Tsuji and T. Sakajo, Statistical laws of a one-dimensional model of turbulent flows subject to an external random force, Nonlinearity vol. 36 No. 8 pp. 4283--4302 (2023) (doi:10.1088/1361-6544/acdfa3)
  • T. Sakajo and K. Itatani, Topological identification of vortical flow structures in the left ventricle of the heart, SIAM Journal on Imaging Science vol. 16 No.3 pp. 1491--1519 (2023) (doi:10.1137/22M1536923)
  • K. Takeda and T. Sakajo, Geometric ergodicity for Hamiltonian Monte Carlo on compact manifolds, SIAM Journal on Numerical Analysis accepted (2023). https://doi.org/10.1137/22M1543550
  • Takashi Tsuboi, 坪井 俊, The group of real-analytic diffeomorphisms of the complex projective plane, 複素射影平面の実解析的微分同相群 Diffω(C P2)0, 武蔵野大学数理工学センター紀要 = The bulletin of Musashino University Musashino Center of Mathematical Engineering (8), (2023) 11--27
  • S. Murakami, K. Fujita, T. Ichimura, T. Hori, M. Hori, M. Lalith and N. Ueda, Development of 3D Viscoelastic Crustal Deformation Analysis Solver with Data-Driven Method on GPU, Lecture Notes in Computer Science, vol 14074, 2023, https://doi.org/10.1007/978-3-031-36021-3_45
  • Hachiya, H., Masumoto, Y., Kudo, A., and Ueda, N., Encoder-decoder-based image transformation approach for integrating multiple spatial forecasts, Machine Learning with Applications, 12, 100473, 2023, https://doi.org/10.1016/j.mlwa.2023.100473
  • Mulia, I. E., Ueda, N., Miyoshi, T., Iwamoto, T. & Heidarzadeh, M. A novel deep learning approach for typhoon-induced storm surge modeling through efficient emulation of wind and pressure fields. Scientific Reports 13, 7918 (2023). doi: 10.1038/s41598-023-35093-9
  • Sujatmiko, K. A., Ichii, K., Murata, S. and Mulia, I. E., 2022. Application of stress parameter from liquefaction analysis on the landslide induced tsunami simulation: A case study on the 2018 Palu tsunami. Journal of Disaster Research. https://www.fujipress.jp/jdr/dr/dsstr001800030199/
  • Heidarzadeh, M., Iwamoto, T., Šepić, J., and Mulia, I. E., 2023. Normal and reverse storm surges along the coast of Florida during the September 2022 Hurricane Ian: Observations, analysis, and modelling. Ocean Modelling. 185, 102250 https://doi.org/10.1016/j.ocemod.2023.102250
  • Ratnasari, R. N., Tanioka, Y., Yamanaka, Y., and Mulia, I. E., 2023. Development of early warning system for tsunamis accompanied by collapse of Anak Krakatau volcano, Indonesia. Frontier in Earth Science. 11, 1213493 https://doi.org/10.3389/feart.2023.1213493
  • Wang, Y., Imai, K., Mulia, I. E., Ariyoshi, K., Takahashi, N., Sasaki, K., Kaneko, H., Abe, H., and Sato, Y., 2022. Data assimilation using high-frequency radar for tsunami early warning: A case study of the 2022 Tonga volcanic tsunami. Journal of Geophysical Research: Solid Earth. https://doi.org/10.1029/2022JB025153
  • Hachiya, H., Nagayoshi, K., Iwaki, A., Maeda, T., Ueda, N., and Fujiwara, H., 2023, Position-dependent partial convolutions for supervised spatial interpolation, Machine Learning with Application, https://doi.org/10.1016/j.mlwa.2023.100514
  • Kawai, Y. and H. Tomita,"Numerical Accuracy Necessary for Large-Eddy Simulation of Planetary Boundary Layer Turbulence using Discontinuous Galerkin Method", Monthly Weather Review, 151, 6, pp. 1479-1508 (2023). doi:10.1175/MWR-D-22-0245.1
  • Miyamoto, H. and Kikuchi, J. "An evaluation of homeostatic plasticity for ecosystems using an analytical data science approach" Computational and Structural Biotechnology Journal 21, 869-878 (2023). https://doi.org/10.1016/j.csbj.2023.01.001
  • Miyamoto, H., Kawachi, N., Kurotani, A., Suda, W., Moriya, S., Suzuki, K., Matsuura, M., Tsuji, N., Nakaguma, T., Ishii, T., Tsuboi, A., Shindo, C., Kato, T., Udagawa, M., Wada, S., Masuya, H., Miyamoto, H., Ohno, H. and Kikuchi, J. "Computational estimation of symbiotic sediment bacterial structures of seagrasses overgrowing downstream of onshore aquaculture" Environmental Research 219, 115130 (2023). https://doi.org/10.1016/j.envres.2022.115130
  • Yokoyama, D. and Kikuchi, J. "Inferring microbial community assembly in an urban river basin through geo-multi-omics and phylogenetic bin-based null-model analysis of surface water" Environmental Research 231, 116202 (2023). https://doi.org/10.1016/j.envres.2023.116202
  • Shima, H., Sakata, K. and Kikuchi, J. "Prediction of influence transmission by water temperature of fish intramuscular metabolites and intestinal microbiota factor cascade using Bayesian networks" Applied Sciences 13, 3198 (2023). https://doi.org/10.3390/app13053198
  • Kenji Nakano, Kotaro Nochioka, Satoshi Yasuda, Daito Tamori, Takashi Shiroto, Yudai Sato, Eichi Takaya, Satoshi Miyata, Eiryo Kawakami, Tetsuo Ishikawa, Takuya Ueda, Hiroaki Shimokawa. Machine learning approach to stratify complex heterogeneity of chronic heart failure: A report from the CHART-2 study. ESC Heart Fail. 2023 Jun;10(3):1597-1604. doi: 10.1002/ehf2.14288. Epub 2023 Feb 14. PMID: 36788745
  • Yuto Sunaga, Atsushi Watanabe, Nobuyuki Katsumata, Takako Toda, Masashi Yoshizawa, Yosuke Kono, Yohei Hasebe, Keiichi Koizumi, Minako Hoshiai, Eiryo Kawakami, Takeshi Inukai. A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease. Clin Rheumatol . 2023 May;42(5):1351-1361. doi: 10.1007/s10067-023-06502-1. Epub 2023 Jan 11. PMID: 36627530
  • Yuki Onozato, Takekazu Iwata, Yasufumi Uematsu, Daiki Shimizu, Takayoshi Yamamoto, Yukiko Matsui, Kazuyuki Ogawa, Junpei Kuyama, Yuichi Sakairi, Eiryo Kawakami, Toshihiko Iizasa, Ichiro Yoshino. Predicting pathological highly invasive lung cancer from preoperative [18F]FDG PET/CT with multiple machine learning models. Eur J Nucl Med Mol Imaging . 2023 Feb;50(3):715-726. doi: 10.1007/s00259-022-06038-7. Epub 2022 Nov 17. PMID: 36385219
  • Aiko Sekita, Hiroshi Kawasaki, Ayano Fukushima-Nomura, Kiyoshi Yashiro, Keiji Tanese, Susumu Toshima, Koichi Ashizaki, Tomohiro Miyai, Junshi Yazaki, Atsuo Kobayashi, Shinichi Namba, Tatsuhiko Naito, Qingbo S. Wang, Eiryo Kawakami, Jun Seita, Osamu Ohara, Kazuhiro Sakurada, Yukinori Okada, Masayuki Amagai, Haruhiko Koseki. Multifaceted analysis of cross-tissue transcriptomes reveals phenotype-endotype associations in atopic dermatitis. Nature Communications. Published: 02 October 2023. doi: 10.1038/s41467-023-41857-8. PMID: 37783685
  • Koki Tsuyuzaki, Naoki Yoshida, Tetsuo Ishikawa, Yuki Goshima, Eiryo Kawakami. Non-negative tensor factorization workflow for time series biomedical data. STAR Protoc . 2023 Jul 7;4(3):102318. doi: 10.1016/j.xpro.2023.102318. Online ahead of print. PMID: 37421614
  • Sotaro Nakajima, Haruka Tsuchiya, Mineto Ota, Megumi Ogawa, Saeko Yamada, Ryochi Yoshida, Junko Maeda, Harumi Shirai, Taro Kasai, Jun Hirose, Keita Ninagawa, Yuichiro Fujieda, Takeshi Iwasaki, Yoshimi Aizaki, Hiroshi Kajiyama, Masakazu Matsushita, Eiryo Kawakami, Naoto Tamura, Toshihide Mimura, Koichiro Ohmura, Akio Morinobu, Tatsuya Atsumi, Yoshiya Tanaka, Tsutomu Takeuchi, Sakae Tanaka, Tomohisa Okamura, Keishi Fujio. Synovial Tissue Heterogeneity in Japanese Patients with Rheumatoid Arthritis Elucidated Using a Cell-Type Deconvolution Approach. rthritis Rheumatol . 2023 Jun 30. doi: 10.1002/art.42642. PMID: 37390361
  • Hiroko Inoue, Megumi Oya, Masashi Aizawa, Kyogo Wagatsuma, Masatomo Kamimae, Yusuke Kashiwagi, Masayoshi Ishii, Hanae Wakabayashi, Takayuki Fujii, Satoshi Suzuki, Noriyuki Hattori, Narihito Tatsumoto, Eiryo Kawakami, Katsuhiko Asanuma. Predicting dry weight change in Hemodialysis patients using machine learning. BMC Nephrol. 2023 Jun 29;24(1):196. doi: 10.1186/s12882-023-03248-5. PMID: 37386392
  • Yasuo Yamao, Takehiko Oami, Eiryo Kawakami, Taka-Aki Nakada. Protocol to acquire time series data on adverse reactions following vaccination using a smartphone or web-based platform. STAR Protoc . 2023 May 5;4(2):102284. doi: 10.1016/j.xpro.2023.102284. PMID: 37148245
  • Yuto Sunaga, Atsushi Watanabe, Nobuyuki Katsumata, Takako Toda, Masashi Yoshizawa, Yosuke Kono, Yohei Hasebe, Keiichi Koizumi, Minako Hoshiai, Eiryo Kawakami, Takeshi Inukai. Correction to: A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease. Clin Rheumatol. 2023 May;42(5):1501. doi: 10.1007/s10067-023-06555-2. PMID: 36918446
  • Eiryo Kawakami, Naomi Kobayashi, Yuichiro Ichihara, Tetsuo Ishikawa, Hyonmin Choe, Akito Tomoyama, Yutaka Inaba. Monitoring of blood biochemical markers for periprosthetic joint infection using ensemble machine learning and UMAP embedding. Arch Orthop Trauma Surg. 2023 Oct;143(10):6057-6067. doi: 10.1007/s00402-023-04898-8. Epub 2023 Apr 28. PMID: 37115242
  • Shinpei Saito, Shinichi Sakamoto, Kosuke Higuchi, Kodai Sato, Xue Zhao, Ken Wakai, Manato Kanesaka, Shuhei Kamada, Nobuyoshi Takeuchi, Tomokazu Sazuka, Yusuke Imamura, Naohiko Anzai, Tomohiko Ichikawa, Eiryo Kawakami. Machine-learning predicts time-series prognosis factors in metastatic prostate cancer patients treated with androgen deprivation therapy. Sci Rep. 2023 Apr 18;13(1):6325. doi: 10.1038/s41598-023-32987-6. PMID: 37072487
  • Kawakami E, Kobayashi N, Ichihara Y, Ishikawa T, Choe H, TomoyamaA, Inaba Y. Monitoring of blood biochemical markers for periprosthetic joint infection using ensemble machine learning and UMAP embedding STAR Protoc 2023 Apr 28.;4(2):102284. doi: 10.1007/s00402-023-04898-8. PMID: 37115242
  • YamaoY, Oami T, Kawakami E, Nakada T. Protocol to acquire time series data on adverse reactions following vaccination using a smartphone or web-based platform 2023 May 5;4(2):102284. doi: 10.1016/j.xpro.2023.102284. PMID: 37148245
  • Nakano K, Nochioka K, Yasuda S, Tamori D, Shiroto T, Sato Y, Takaya E, Miyata S, Kawakami E, Ishikawa T, Ueda T, Shimokawa. Machine learning approach to stratify complex heterogeneity of chronic heart failure: A report from the CHART-2 study 2023 Jun;10(3):1597-1604. doi: 10.1002/ehf2.14288. PMID: 36788745
  • Inoue H, Oya M, Aizawa M, Wagatsuma K, Kamimae M, Kashiwagi Y, Ishii M, Wakabayashi H, Fujii T, Suzuki S, Hattori N, Tatsumoto N, Kawakami E, Asanuma K. Predicting dry weight change in Hemodialysis patients using machine learning 2023 Jun 29;24(1):196. doi: 10.1186/s12882-023-03248-5. PMID: 37386392
  • Nakajima S, Tsuchiya H, Ota M, Ogawa M, Yamada S, Yoshida R, Maeda J, Shirai H, Kasai T, Hirose J, Ninagawa K, Fujieda Y, Iwasaki T, Aizaki Y, Kajiyama H, Matsushita M, Kawakami E, Tamura N, Mimura T, Ohmura K, Morinobu A, Atsumi T, Tanaka Y, Takeuchi T, Tanaka S, Okamura T, Fujio K. Synovial Tissue Heterogeneity in Japanese Patients with Rheumatoid Arthritis Elucidated Using a Cell-Type Deconvolution Approach 2023 Jun 30. doi: 10.1002/art.42642 PMID: 37390361
  • Tsuyuzaki K, Yoshida N, Ishikawa T, Goshima Y, Kawakami E. Non-negative tensor factorization workflow for time series biomedical data 2023 Jul 7;4(3): 102318. doi: 10.1016/j.xpro.2023.102318 PMID: 37421614
  • Hanai A, Ishikawa T, Kawauchi S, Iida Y, Kawakami E. Generative Artificial Intelligence for Clinical Communication: Implications for Non-Pharmacological Interventions in Health Care medRxiv 2023 Sep 29 doi: https://doi.org/10.1101/2023.09.28.23296287.
  • Sekita A, Kawasaki H, Fukushima-Nomura A, Yashiro K, Tanese K, Toshima S, Ashizaki K, Miyai T, Yazaki J, Kobayashi A, Namba S, Naito T, Wang Q, Kawakami E, Seita J, Ohara O, Sakurada K, Okada Y, Amagai M, Koseki H. Multifaceted analysis of cross-tissue transcriptomes reveals phenotype-endotype associations in atopic dermatitis Nature Communications 2023 Oct 2;14(1):6133. doi: 10.1038/s41467-023-41857-8. PMID: 37783685
  • Nishio M, Nonaka N, Fujihira R, Murakami H, Tajima T, Yamada M, Maeda A, Seita J., Objective detection of high-risk tackle in rugby by combination of pose estimation and machine learning. JSAI 2022: Advances in Artificial Intelligence, April 6, 2023(査読あり)

口頭発表/Oral

  • 雨宮新、三好建正、領域気象モデルSCALE-RMを使ったLETKFの微修正による局所粒子フィルタ、第13回データ同化ワークショップ、理研計算科学研究センター、2023/2/16
  • 雨宮新、三好建正、スーパーセル理想実験における非ガウス性と高頻度データ同化のインパクト、富岳サブテーマB研究会、オンライン、2023/2/22
  • 雨宮新、三好建正、領域気象モデルSCALE-RMを使ったLETKFの微修正による局所粒子フィルタ、富岳成果創出加速課題成果報告会、東京大学、2023/3/20
  • Lin Li, Takemasa Miyoshi, Controlling chaos through intermittent chaos enhancement. 5th R-CCS International Symposium, Kobe, 2023/2/7
  • Lin Li, Takemasa Miyoshi, Explore the possibility of controlling typhoons with deep reinforcement learning. Interdisciplinary Science Conference in Okinawa (ISCO 2023) , Okinawa, 2023/2/27
  • 前島康光,三好建正, 領域気象モデルを用いた局地豪雨の制御シミュレーション実験, 第14回理研・京大データ同化研究会, 神戸, 2023/2/15
  • 前島康光,三好建正, 領域気象モデルを用いた局地豪雨の制御シミュレーション実験, 第13回データ同化ワークショップ, 神戸, 2023/2/16
  • 大塚成徳, 前島康光, 三好建正, 深層学習と数値天気予報の融合による降水ナウキャストの試み, 第13回データ同化ワークショップ, 神戸, 2023年2月16日
  • Takemasa Miyoshi, Celeste Saulo, Shigenori Otsuka, Juan Ruiz, Yanina G.Skabar, Arata Amemiya, Tomoo Ushio, Hirofumi Tomita, Tomoki Ushiyama, Masaya Konish, PREVENIR: Japan-Argentina Cooperation Project for Heavy Rain and Urban Flood Disaster Prevention, 27th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS), AMS 2023, 2023/1/11
  • Takemasa Miyoshi, Sun Q., Terasaki K. and Maejima Y., From Predictability to Controllability: Control Simulation Experiment, 27th Conference on Integrated Observing and Assimilation Systems for theAtmosphere, Oceans, and Land Surface (IOAS-AOLS), 103rd American Meteorological Society Annual Meeting, 2023/1/10
  • Takemasa Miyoshi, Invited presentation, "Big Data Assimilation Revolutionizing Numerical Weather Prediction Using Fugaku", DA Forum by University of Melbourne, Online, 2023/2/3
  • 三好建正: マルチスケール極端気象予測を目指した「ビッグデータ同化」の研究, 第10回「富岳」を中核とするHPCIシステム利用研究課題成果報告会, 東京, 2023年10月26日.
  • 三好建正・大石俊・Jianyu Liang・Rakesh Teja Konduru・大塚成徳・Michael Goodliff・小槻峻司・寺崎康児・岡﨑淳史・富田浩文・金丸佳矢・佐藤正樹・松岸修平・八代尚・岡本幸三・久保田拓志・可知美佐子・Eugenia Kalnay, 「雲・降水・海洋の衛星データ同化の高度化と応用」、2023年度GPMおよび衛星シミュレータ合同研究集会、名古屋大学、2024/3/8
  • 三好建正、ビッグデータ同化:ゲリラ豪雨予測から予測科学へ、東京一水会令和5年11月度例会、基調講演、2023/11/8
  • K.Furukawa and H .Kitahata,A Mathematical Model and Its Mathematical Analysis Representing Filtration and Filter Clogging in an Aquarium, ICMMA 2023, Tokyo, Nov. 2023.
  • Konduru, R.T., Otsuka, S., Liang, J. and Miyoshi, T. Scale-Dependent RMSE Diagnostics in Data Assimilation: Insights from an OSSE approach with NICAM-LETKF. OIST-RIKEN Joint Workshop on Prediction Science, Okinawa, Japan, December 20-22, 2023.
  • Lin Li, Takemasa Miyoshi, Measuring controllability of chaotic systems through deep reinforcement learning, IWTRC 2023, Yokohama, Japan, 2023/11/19
  • Lin Li, Takemasa Miyoshi, Towards a typhoon-threat-free society in 2050 by weather modification, Mini Symposium for Sakura Plan 2023, Nara Japan, 2023/12/24
  • Lin Li, Takemasa Miyoshi, Towards a typhoon-threat-free society in 2050 by weather modification, OIST-RIKEN Joint Workshop on Prediction Science, Onna son Japan, 2023/12/22
  • Yasumitsu Maejima and Takemasa Miyoshi, Control Simulation Experiment for August 2014 Severe Rainfall Event Using a Regional Model, The 6th International Workshop on Nonhydrostatic Models, September 1, 2023.
  • Yasumitsu Maejima and Takemasa Miyoshi, Control Simulation Experiment for August 2014 Severe Rainfall Event Using a Regional Model,Japan Geophysical Union 2023 Annual Meeting , May 23, 2023.
  • 古川賢, Nudging Type Data Assimilation to the Primitive Equations in Lp-Lq Maximal Regularity Setting, 若手による流体力学の基礎方程式研究集会, 名古屋, 2023年1月
  • 古川賢, 北畑 裕之, アクアリウムに対するシンプルな濾過のモデルと動的境界条件付き 移流拡散方程式について, 数理解析若手交流会, オンライン, 2023年12月.
  • 古川賢, 北畑 裕之, アクアリウム内の微生物生態系と濾過フィルターの目詰まりを記述する数理モデルについて, 生物流体力学における境界の役割, 京都, 2023年10月.
  • 古川賢, いくつかの力学系とそのデータ同化による予測について, 数値解析セミナー, 東京, 2023年11月
  • 古川賢, 最大正則性のクラスでのプリミティブ方程式のデータ同化, 2023 年度日本数学会年会, 東京, 2023年3月.
  • 前島康光, 三好建正, 2021年8月7日の局地的豪雨事例におけるAMeDASデータ同化のインパクト -ビッグデータ同化システムの高度化に向けて―, 日本気象学会2023年度秋季大会, 2023年10月23日
  • 前島康光, 三好建正, 「富岳」を用いた2021年夏季リアルタイムゲリラ豪雨予測の事例解析, 日本気象学会2023年度春季大会, 2023年5月16日
  • 大石俊、小林勇毅、三好建正、「予報誤差と観測誤差の相関を考慮したアンサンブルカルマンフィルタ」、日本気象学会2023年度秋季大会、仙台、2023年10月
  • 小林勇毅、大石俊、三好建正、「予報誤差と観測誤差の相関を考慮したアンサンブルカルマンフィルター」、第14回理研・京大データ同化研究会、神戸、2023年2月
  • 古川賢, Nudging Type Data Assimilation to the Primitive Equations in $L^p$-$L^q$ Maximal Regularity Setting, 若手による流体力学の基礎方程式の研究集会, 名古屋, 2023/1/6
  • 古川賢, 最大正則性のクラスでのプリミティブ方程式のデータ同化, 2023年度日本数学会年会, Tokyo, 2023/3/18
  • Takemasa Miyoshi, Big Data Assimilation Revolutionizing Numerical Weather Prediction Using Fugaku, Data Assimilation Forum at Centre for Climate Research Singapore(CCRC) Seminar, 2023/4/12, Online
  • 三好建正, ビッグデータ同化 ～ゲリラ豪雨予測から、予測科学へ～, 第一回 東京連絡事務所理研ーダイキン工業協創フォーラム, 理化学研究所東京連絡事務所, 2023/4/21
  • Takemasa Miyoshi, Celeste Saulo, Shigenori Otsuka, Juan Ruiz, Yanina Skabar, Arata Amemiya, Tomoo Ushio, Hirofumi Tomita, Tomoki Ushiyama, Masaya Konishi, PREVENIR: Japan-Argentina Cooperation Project for Heavy Rain and Urban Flood Disaster Prevention, EGU General Assembly 2023, Austria Center, Vienna, 2023/4/24
  • 三好建正、"気象災害に脆弱な人口密集地域のための数値天気予報と防災情報提供システムのプロジェクト(対象国:アルゼンチン),日本気象学会 第2回国際協力研究連絡会, オンライン、2023/5/17
  • Takemasa Miyoshi, Celeste Saulo, Shigenori Otsuka, Juan Ruiz, Yanina Skabar, Arata Amemiya, Tomoo Ushio, Hirofumi Tomita, Tomoki Ushiyama, Masaya Konishi, PREVENIR: Japan-Argentina Cooperation Project for Heavy Rain and Urban Flood Disaster Prevention, Japan Geoscience Union Meeting 2023, 2023/5/23, Chiba
  • Takemasa Miyoshi, Advances and applications of satellite data assimilation of clouds, precipitation, and the ocean, Japan Geoscience Union Meeting 2023, Chiba, 2023/5/26
  • Takemasa Miyoshi, Experimental platform for design and advance evaluation of frequent satellite observations toinnovate weather, ocean and land surface prediction, Japan Geoscience Union Meeting 2023, Chiba, 2023/5/25
  • 三好建正, ゲリラ豪雨予測から予測科学へ, 南部コロキウム, 大阪大学大学院理学研究科, 2023/6/1
  • Takemasa Miyoshi, "Chaos implies effective controllability of extreme weather", The Third International Nonlinear Dynamics Conference (NODYCON 2023), Rome, Italy, 2023/6/19, Keynote
  • 三好建正、ゲリラ豪雨予測から予測科学へ、株式会社 経営戦略研究所定期研修会、TCATホール(東京・水天宮)、2023/7/4
  • 三好建正、ビックデータ同化 ~ゲリラ豪雨予測から、予測科学へ~、株式会社ダイキン工業テクテクノロジー・イノベーションセンター、2023/7/10
  • Takemasa Miyoshi, Celeste Saulo, Shigenori Otsuka, Juan Ruiz, Yanina Skabar, Arata Amemiya, Tomoo Ushio, Hirofumi Tomita, Tomoki Ushiyama, Masaya Konishi, PREVENIR: Japan-Argentina Cooperation Project for Heavy Rain and Urban Flood Disaster Prevention, IUGG2023, Berlin, 2023/7/13
  • Miyoshi, Takemasa, Sun, Qiwen, Terasaki, Koji, Maejima, Yasumitsu, From Predictability to Controllability: Control Simulation Experiment,The 28th IUGG General Assembly (IUGG2023), Berlin, 2023/7/13
  • Takemasa Miyoshi, Big Data Assimilation Revolutionizing Numerical Weather Prediction Using Fugaku, The 28th IUGG General Assembly (IUGG2023), Berlin, 2023/7/14
  • Takemasa Miyoshi, Celeste Saulo, Shigenori Otsuka, Juan Ruiz, Yanina Skabar, Arata Amemiya, Tomoo Ushio, Hirofumi Tomita, Tomoki Ushiyama, Masaya Konishi, PREVENIR: Japan-Argentina Cooperation Project for Heavy Rain and Urban Flood Disaster Prevention, Asia Oceania Geosciences Society (AOGS)2023, Singapore, 2023/8/3
  • Takemasa MIYOSHI, Shun OHISHI, Jianyu LIANG, Rakesh Teja KONDURU, Shigenori OTSUKA, Shunji KOTSUKI, Koji TERASAKI, Atsushi OKAZAKI, Hirofumi TOMITA, Ying-Wen CHEN, Kaya KANEMARU, Masaki SATOH, Hisashi YASHIRO, Kozo OKAMOTO, Eugenia KALNAY, Takuji KUBOTA, Misako KACHI, Advances and Applications of Satellite Data Assimilation of Clouds, Precipitation, and the Ocean, AOGS2023, Singapore, 2023/8/4
  • Takemasa Miyoshi, Qiwen Sun, Koji Terasaki, Yasumitsu Maejima, Chaos implies effective controllability of extreme weather, From Weather Predictability to Controllability: Control Simulation Experiment (CSE) , 10th International Congress on Industrial and Applied Mathematics(ICIAM2023), Tokyo, 2023/8/23
  • Takemasa Miyoshi, Celeste Saulo, Shigenori Otsuka, Juan Ruiz, Yanina Skabar, Arata Amemiya, Tomoo Ushio, Hirofumi Tomita, Tomoki Ushiyama, Masaya Konishi, PREVENIR: Japan-Argentina Cooperation Project for Heavy Rain and Urban Flood Disaster Prevention, The 6th International Workshop on Nonhydrostatic Models (NHM-WS 2023) (The 25th Workshop on Nonhydrostatic Models), Sapporo, 2023/8/31
  • Takemasa MIYOSHI, Toward efficient control of extreme weather events, The 6th International Workshop on Nonhydrostatic Models (NHM-WS 2023) (The 25th Workshop on Nonhydrostatic Models), Sapporo, 2023/9/1
  • 三好建正、気象災害に脆弱な人口密集地域のための_x000B_数値天気予報と防災情報提供システムのプロジェクト、SATREPS国際共同シンポジウム「豪雨や洪水を予測 人々を災害から守れ!」、東京、2023/9/4
  • 三好建正, 気象災害に脆弱な人口密集地域のための数値天気予報と防災情報提供システムのプロジェクト(対象国：アルゼンチン)、日本気象学会 第2回国際協力研究連絡会, オンライン, 2023/5/17
  • 三好建正、気象災害に脆弱な人口密集地域のための数値天気予報と防災情報提供システムのプロジェクト、SATREPS防災分野年次報告会、オンライン、2023/10/27
  • Takemasa Miyoshi, Celeste Saulo, Shigenori Otsuka, Juan Ruiz, Yanina Skabar, Arata Amemiya, Tomoo Ushio, Hirofumi Tomita, Tomoki Ushiyama, Masaya Konishi, PREVENIR: Japan-Argentina Cooperation Project for Heavy Rain and Urban Flood Disaster Prevention, ISDA2023,Bologna, 2023/10/17
  • Takemasa Miyoshi, RIKEN Center for Computational Science - Japan Toward efficient control of extreme weather events, ISDA2023, Bologna, 2023/10/17
  • 三好建正、Lorenz-96モデルの極端現象の制御シミュレーション実験, 日本気象学会2023年度秋季大会、仙台国際センター、2023/10/24
  • Takemasa Miyoshi, Advances and applications of satellite data assimilation of clouds, precipitation, and the ocean, The Joint PI Meeting of JAXA Earth Observation Missions FY2023, Tokyo, 2023/11/9
  • Takemasa Miyoshi, Arata Amemiya, Shigenori Otsuka, Yasumitsu Maejima, James Taylor, Takumi Honda, Hirofumi Tomita, Seiya Nishizawa, Kenta Sueki, Tsuyoshi Yamaura, Yutaka Ishikawa, Shinsuke Satoh, Tomoo Ushio, Kana Koike, and Atsuya Uno, Big Data Assimilation: Real-time 30-second-refresh Heavy Rain Forecast Using Fugaku during Tokyo Olympics and Paralympics, SC23, Denver, 2023/11/15
  • Takemasa Miyoshi, Shun Ohishi, Jianyu Liang, Rakesh Konduru, Shigenori Otsuka, Shunji Kotsuki, Koji Terasaki, Atsushi Okazaki, Hirofumi Tomita, Kaya Kanemaru, Satoh Masaki, Hisashi Yashiro, Kozo Okamoto, Advances and Applications of Satellite Data Assimilation of Clouds, Precipitation, and the Ocean, AGU23, Moscone Center(San Fransisco), 2023/12/13
  • Takemasa Miyoshi, Qiwen Sun, Serge Ricard, Yasumitsu Maejima, Lin Li, Koji Terasaki, control. Toward efficient control of extreme weather events, AGU23, Moscone Center(San Fransisco), 2023/12/13
  • Taylor, J., S. Otsuka, A. Amemiya, T. Honda, T. Miyoshi.Analysis of ensemble forecasts for a convective squall line performed with a 1000-member real-time ensemble Kalman filter system with 30-second update. JpGU 2023, Makuhari Messe, Japan. 21-26 May 2023
  • Taylor, J., S. Otsuka, A. Amemiya, T. Honda, T. Miyoshi. Improving short range prediction of convective weather systems using a 1000-member ensemble Kalman filter with 30-second update. ISDA 2023. Bologna. 16-20 October 2023
  • Taylor, J., S. Otsuka, A. Amemiya, T. Honda, T. Miyoshi. Improving High-Precision Nowcasting with a Convective-Scale Numerical Weather Prediction Model with 30-Second Update and Phased Array Radar Observations. AGU 2023. Moscone Center, San Francisco 2023
  • Lin Li, Controlling chaos through intermittent chaos enhancement, JpGU2023, Chiba Makuhari
  • Lin Li, Exploring the possibility of controlling typhoons with deep reinforcement learning, RIKEN-Kyoto-U-IMT-A workshop, Kobe
  • Lin Li, Exploring the possibility of controlling typhoons with deep reinforcement learning, NHM-WS 2023, Sapporo
  • Konduru, R.T., Liang, J. and Miyoshi, T. Challenges in Assimilation of High-Frequency Satellite Observations Using an OSSE Framework. at 9th International Symposium on Data Assimilation, Bologna, Italy, October 16-20, 2023
  • Jianyu Liang, A machine learning approach to the observation operator for satellite radiance data assimilation, IMT-Atlantique & Kyoto University & RIKEN joint Data Assimilation workshop 2023, 2023/8
  • Jianyu Liang, Using Bred vectors to understand the instabilities in Venus's atmosphere, 14th Data Assimilation workshop 2023, 2023/8
  • 雨宮新、三好建正、領域気象モデルSCALE-RMを使ったLETKFの微修正による局所粒領域気象モデルSCALE-RMを使ったLETKFの微修正による局所粒子フィルタ、日本気象学会春季大会、オンライン、2023/5/16
  • 雨宮新、三好建正、スーパーセル理想実験における非ガウス性と高頻度データ同化のインパクト、日本気象学会春季大会、オンライン、2023/5/17
  • Arata Amemiya and Takemasa Miyoshi, Implementation of the local particle filter as an extension of the SCALE-LETKF _x000B_with weight interpolation, JpGU General meeting 2023, Makuhari, Japan, 2023/5/22
  • 雨宮新、30秒更新の超高頻度データ同化による数値予測、第9回メソ気象セミナー、高知、2023/9/23
  • Ohishi, Shun, Yuki Kobayashi, Takemasa Miyoshi, 'Including cross correlations between the forecast and observation errors in the ensemble Kalman filter', Japan Geoscience Union Meeting 2023, Chiba, May 2023
  • 大石俊、小林勇毅、三好建正、「予報誤差と観測誤差の相関を考慮したアンサンブルカルマンフィルター」、第27回海洋データ同化夏の学校、青森県、2023年8月
  • Kobayashi, Yuki, Shun Ohishi, Takemasa Miyoshi, 'Including cross correlations between the forecast and observation errors in the ensemble Kalman filter', IMT-Atlantique & Kyoto University & RIKEN joint Data Assimilation workshop, Kobe, Aug. 2023
  • 大石俊、小林勇毅、三好建正「予報誤差と観測誤差の相関を考慮したアンサンブルカルマンフィルタ」、日本海洋学会2023年度秋季大会、京都府、2023年9月
  • 大塚 成徳, 三好 建正, 数値天気予報・データ同化・AIの融合による3D降水ナウキャストに向けて:敵対的学習の適用. JpGU2023, AAS08-P02, 幕張, 2023/5/22
  • Otsuka, S. and T. Miyoshi, Development of precipitation nowcasting systems at RIKEN and Japan-Argentina cooperation project. Bi-annual meeting of the Nowcasting and Mesoscale Research Working Group, Seoul, 26 June 2023
  • 大塚成徳, 最先端のスーパーコンピュータを用いた天気予報研究. 日本気象学会 第57回夏季大学 新しい気象学2023, オンライン, 2023年8月5日
  • Otsuka, S. and T. Miyoshi, Toward 3D precipitation nowcasting by fusing NWP-DA-AI: application of adversarial training. The 6th international workshop on nonhydrostatic models, Sapporo, 31 August 2023
  • Takashi Sakajo, "Generalized Constantin-Lax-Majda equation under a random forcing as a one-dimensional model of turbulence", Kyoto, 2023/3/15
  • Takashi Sakajo, "Vortex crystals on the surface of a curved torus", SIAM RIMS, Kyoto 2023/5/15
  • Takashi Sakajo, " One-dimensional hydrodynamic PDE model of turbulent flow with the enstrophy cascade", ANR Project Quantum Turbulence Exploration by High Performance Computating, France, 2023/7/4
  • 坂上貴之, 「流線トポロジカルデータ解析による心臓内血流の渦構造の抽出」, 北海道大学ＨＭＭＣセミナー, 札幌, 2023/7/13
  • Takashi Sakajo, "Equilibrium states of vortex points and vortex sheets", Complex analysis: techniques, applications and computations - perspevtives, UK, 2023/7/27
  • Takashi Sakajo, "A model of turbulent flows based on a random Constantin-Lax-Majda-DeGregorio equation", ICIAM2023 MS:Problems in incompressible fluid flows: Stability, Singularity, and Extreme Behavior, Tokyo, 2023/8/21
  • Takashi Sakajo, "Interdisciplinary research using Topological Flow Data Analysis through Math Clinic", ICIAM2023 MS:Frontiers of Collaboration with Industry: Succeeding through Failure, Tokyo, 2023/8/23
  • 坂上貴之, 「ランダム偏微分方程式で記述される一次元乱流モデルの統計則」, 日本数学会秋季分科会, 仙台, 2023/9/23
  • 坂上貴之「二重周期領域上のグリーン関数と点渦力学」, 日本数学会秋季分科会, 仙台, 2023/9/23
  • Takashi Sakajoi, "Topological Flow Data Analysis for Blood Flows Inside a Heat", 76th Annual Meeting of the APS Division of Fluid Dynamics (APS-DFD2023), Washington DC, USA, 2023/11/21
  • Takashi Tsuboi, "Real analytic Birkhoff sections", Interdisciplinary Science Conference in Okinawa (ISCO 2023) - Physics and Mathematics meet Medical Science - , 2023/2/28
  • Takashi Tsuboi, "Real analytic Birkhoff sections", Meeting celebrating Jun O'hara's 60's birthday, 2023/3/19
  • Takashi Tsuboi, BΓω and H1(Diffω(M)0) for M with circle action, BΓ school 2023 at Chuo University, 2023/9/4
  • 上田修功, シミュレーションベース機械学習～ データ駆動とモデル駆動の新たな融合～, 気象庁「気象講演会」 (招待講演), 2023/2/20
  • 上田修功, AI研究の新潮流: シミュレーションベース機械学習, 第5回日本メディカルAI学会学術集会 特別講演 (招待講演), 2023/6/18
  • Kawai, Y., and H. Tomita: "地形を考慮した不連続ガラーキン法に基づく大気力学コアの開発", Spring Meeting 2023: The Meteorological Society of Japan, Online, May 18, 2023 (in Japanese).
  • Kawai, Y., and H. Tomita: "不連続ガラーキン法を用いた非静力学大気力学コアの開発: 地形の考慮", Japan Geoscience Union Meeting 2022, Chiba, Japan, May 26, 2023 (in Japanese).
  • Yanase, T., S. Nishizawa, H. Miura, and H. Tomita: "Characteristic Horizontal Length and Form of Large-Scale Self-Aggregation of Clouds in Radiative-Convective Equilibrium", 28th IUGG General Assembly, Berlin, Germany, July 11-20, 2023.
  • Adachi, S. A., K. Do Ngoc, S. Nishizawa, A.C.G. Varquez, M. Kanda, and H. Tomita: "Urban Module and Dataset of SCALE for an Urban Climate Simulation", 11th International Conference on Urban Climate, Sydney, Australia, Aug 28 - Sept 1, 2023.
  • Kawai, Y., and H. Tomita: "Development of a global atmospheric nonhydrostatic dynamical core using discontinuous Galerkin method", The 6th International Workshop on Nonhydrostatic Models (NHM-WS 2023), Sapporo, Japan, August 31-September 2, 2023.
  • Yanase, T., S. Nishizawa, H. Miura, and H. Tomita: "Characteristic horizontal structure of large-scale self-aggregation of clouds in radiative-convective equilibrium", The 6th International Workshop on Nonhydrostatic Models (NHM-WS 2023), Sapporo, Japan, August 31-September 2, 2023.
  • 川上英良, 予測に基づく健康/疾患状態評価, 第８回理論免疫学ワークショップ, 盛岡, 2023/2/12
  • 川上英良, 慢性疾患研究におけるAI・機械学習の活用,第31回日本逆流性腎症フォーラム, 千葉, 2023/2/17
  • 川上英良, 感染症の発症・重症化の未然予測と制御のための数理・AI解析, ムーンショット目標2公開シンポジウム2023 治すから防ぐ医療へ -未病をいかにとらえるか, 東京, 2023/3/25
  • 川上英良, サイエンスの未来～最前線の研究者たちに見えている地平とは～, 第14回G1サミット北海道, 北海道, 2023/3/19
  • 川上英良, 医療・ヘルスケアAIの 信頼性と再現性, 第9回日本医療安全学会学術総会, 東京, 2023/3/11
  • 川上英良, AI・データサイエンスを用いた先制的医療・ヘルスケア, 災害治療学研究所第２回ワークショップ, 千葉, 2023/3/1
  • 川上英良, 唾液オミクスと機械学習で疾患発症を予測する, 日本遺伝学会第95回大会, 熊本, 2023/9/6
  • 川上英良, AI・データサイエンスが拓く糖尿病診療の未来, 第28回日本小児・思春期糖尿病学会年次学術集会, 大阪, 2023/7/17
  • 川上英良, 機械学習生存時間解析を用いた疾患の早期検知と予後予測, 第5回日本メディカルAI学会学術集会, 東京, 2023/6/18
  • 川上英良, 疾患発症・重症化の未然予測と制御のための数理・AI解析, ムーンショット目標２×７技術交流会, 東京, 2023/6/16
  • 川上英良, 予防・個別医療に向けた時系列マルチモーダルデータに基づく状態遷移予測モデル構築, 第5回メディカル・エマージングテクノロジーフォーラム, 東京, 2023/6/15
  • 川上英良, AIと人間が共創する 医学・医療の未来, 第32回日本医科大学医学会公開シンポジウム, 東京, 2023/6/3
  • 川上英良, AIと共創する 医学・医療の未来, 千葉医学会総会・評議員会 第100回記念大会, 千葉, 2023/5/28
  • 川上英良, 機械学習による慢性疾患の層別化と予測, 第66回日本糖尿病学会年次学術集会, 鹿児島, 2023/5/12
  • 川上英良, 臨床疫学における教師無し機械学習（クラスタリング）の使い方を徹底的に考える, 日本臨床疫学会第6回年次学術大会, 日本橋, 2023/11/12
  • 川上英良, 次世代医療クロストーク2023-2024, 12月「次世代医療クロストーク2023-2024」オンラインセミナー, オンライン, 2023/12/23
  • Eiryo Kawakami, Predicting Disease Prognosis Using Machine Learning, 第110回日本泌尿器科学会総会, 神戸, 2023/4/20
  • Eiryo Kawakami, Accelerating the development of personalized vaccines through AI and data science, International Symposium for Future Mucosal Vaccines: Safeguards and Innovations against Infectious Diseases, Tokyo, 2023/4/1
  • 清田純, 文部科学省 Society 5.0 実現化研究拠点支援事業 ライフデザイン・イノベーション研究拠点(iLDi) 公開シンポジウム「ラグビー競技をモデルにした安全安心のスポーツ環境整備研究」, March 9, 2023, Osaka
  • 清田純, AI Medical研究会「今起きている深層学習の大統一」, May 31, 2023, Virtual
  • 清田純, 第45回医療産業サミット「生成AI時代のバイオテクノロジー」, Sep 26, 2023, 東京
  • Jun Seita, Tübingen University M3 Instutute Seminar "AI for Biomedical Research in ChatGPT-era", Oct 10, 2023, Tübingen, Germany
  • 清田純, 日立製作所イノベーション勉強会「AI for Scientific Discovery」, Dec 25, 2023, Tokyo
  • Ryohei Nishizawa, Tomoki Ishibashi, Goshi Ogita, and Tatsuo Shibata "Toward the understanding of collective rotational cell migration based on image analysis using deep-learning" RIKEN BDR Student Symposium, June 2, 2023, RIKEN, BDR, kobe

ポスター発表/Poster

  • Goshi Ogita, Tomoki Ishibashi, Tatsuo Shibata "Toward elucidating cell-to-cell mechanical interactions that convert cell chirality into multicellular chirality" Yamada Conference LXXV "Origin of left-right asymmetry in animals", January 24-27, 2023, RIKEN BDR, Kobe, Japan
  • Goshi Ogita, Kaoru Sugimura, Shuji Ishihara, Tatsuo Shibata "A force inference method for dynamic epithelial morphogenesis: formulation and validation" Transformative research (A) "Mechanical Self-transformation of Living Systems" third team meeting, June 15-16,2023, Kanazawa bunka hall, Kanazawa Japan
  • Goshi Ogita, Kaoru Sugimura, Shuji Ishihara, Tatsuo Shibata "Toward elucidating cell-to-cell mechanical interactions that convert cell chirality into multicellular chirality" The 56th annual meeting of the Japanese society of developmental biologists, July 22-25, 2023 Sendai international center, Sendai, Japan
  • 荻田 豪士, 杉村薫, 石原秀至, 三好建正, 柴田達夫, "上皮組織のカルマンフィルタによる力推定" 研究会「理論と実験」 2023, 2023年10月5-6日, 広島大学, 広島
  • Goshi Ogita, Shuji Ishihara, Kaoru Sugimura, Tatsuo Shibata, "Kalman force inference for epithelial deformation: a force inference method for time lapse movies" 第61回生物物理学会年会, 2023年11月14-16日, 名古屋国際会議場, 名古屋
  • Ryohei Nishizawa, Tomoki Ishibashi, Goshi Ogita, and Tatsuo Shibata "Toward the understanding of collective rotational cell migration based on image analysis using deep-learning" Spring School for Theoretical Biology, March 6-10, 2023, Hiroshima univ., Hiroshima
  • 西澤凌平, 石橋朋樹, 荻田豪士, 柴田達夫 "深層学習を用いた画像解析による, 細胞集団回転運動の理解を目指して" 第63回 生物物理若手の会 夏の学校, 2023年9月4-7日, 白浜荘, 滋賀
  • Ryohei Nishizawa, Tomoki Ishibashi, Goshi Ogita, and Tatsuo Shibata "Machine learning-based quantification of nuclear behavior to understand chiral properties of multicellular epithelial colonies" 研究会「理論と実験」, 2023年10月5-6日, 広島大学, 広島
  • Ryohei Nishizawa, Tomoki Ishibashi, Goshi Ogita, and Tatsuo Shibata "Machine learning-based quantification of nuclear behavior to understand chiral properties of multicellular epithelial colonies" 第61回 日本生物物理学会年会, 2023年11月14-16日, 名古屋国際会議場, 名古屋
  • Ryohei Nishizawa, Tomoki Ishibashi, Goshi Ogita, and Tatsuo Shibata "Machine learning-based quantification of nuclear behavior to understand chiral properties of multicellular epithelial colonies" 第46回 日本分子生物学会年会, 2023年12月6-8日, 神戸ポートアイランド, 神戸

書籍/Book

  • Saito, K., T. Kawabata, H. Seko, T. Miyoshi, L. Duc, T. Oizumi, M. Kunii, G. Chen, K. Ito, J. Ito, S. Yokota, W. Mashiko, K. Kobayashi, S. Fukui, E. Tochimoto, A. Amemiya, Y. Maejima, T. Honda, H. Niino, and M. Satoh, 2023: Forecast and numerical simulation studies on meso/micro-scale high-impact weathers using high-performance computing in Japan. Numerical Weather Prediction: East Asian Perspectives., Springer., 2023/12/11
  • Otsuka, S., T. Awazu, C. A. Welzbacher, R. Potthast, and T. Miyoshi, 2023: Assimilating precipitation features based on the fractions skill score: an idealized study with an intermediate AGCM. in "Numerical Weather Prediction: East Asian Perspectives", edited by Park, S. K., Springer Nature, 283-294.
  • 大野健太編, 医療AI技術の現在と未来-できること・できそうなこと・できないこと 医歯薬出版 別冊「医学のあゆみ」2023年9月発行
  • "Estimation of symbiotic environments in seagrass bottom sediments for "blue carbon"", 2023.1.12, RIKEN Press releases ブルーカーボンのための海草底泥の共生環境を予測, https://www.csrs.riken.jp/en/topics/press/press20230112-1.html

受賞/Award

  • Yasumitsu Maejima, 日本気象学会SOLA論文賞, Takuya Kawabata, Hiromu Seko, and Takemasa Miyoshi 「Observing system simulation experiments of a rich phased array weather radar network covering Kyushu for the July 2020 heavy rainfall event」 2023年2月
  • 大石俊, 理研桜舞賞(研究奨励賞)「アンサンブルカルマンフィルタに基づく海洋データ同化システムの開発」(Development of an ensemble Kalman filter-based ocean data assimilation system)2023年3月22日
  • 三好建正, 理研栄峰賞「気象学におけるビッグデータ同化及び制御可能性を切り拓く研究」(Pioneering Meteorological research on big data assimilation and controllability)2023年3月22日
  • Iyan Mulia, 理研桜舞賞(研究奨励賞)「Machine learning-based tsunami inundation prediction」2023年3月22日
  • Goshi Ogita, Early career researcher award, Transformative research area A "Mechanical Self-transformation of Living Systems" third team meeting, June 15, 2023
  • 極端現象の制御シミュレーション実験 -極端気象制御に向けた新理論-, 2023/6/19
  • 「富岳」を用いた30秒ごとに更新するリアルタイム数値天気予報の研究成果が2023年ゴードン・ベル賞気候モデリング部門ファイナリストに選出, 2023/11/9

プレスリリース/Press Release

その他/Others

  • 坪井俊,「幾何学の歩み」, 広島学院文化講演会, 2023/10/04
  • 坪井俊,「現代数学の最先端 フォリエーションにおけるホモトピー原理」, NHKカルチャー青山教室, 2023/9/24