RIKEN(理化学研究所)PREDICTION

理化学研究所ホームページ
メニュー

研究業績 (2024年)

論文/Paper

  • Furukawa, K., 2024: Data Assimilation to the Primitive Equations with Lp-Lq-based Maximal Regularity Approach, Journal of Mathematical Fluid Mechanics, Vol.26, Iss.1 p.9, 2024/1/4, doi:10.1007/s00021-023-00843-2
  • Furukawa, K., H. Sakamoto, M. Ohhigashi, S. Shima, T. Sluka, and T. Miyoshi, Particle filter data assimilation for ubiquitous unstable trajectories of two-dimensional three-state cellular automata. Nonlinear Dyn., doi: 10.1007/s11071-024-09803-5
  • K. Takeda, S. Kaji, and T. Miyoshi, Topological regularization on numerical simulations of the advection equation., JSIAM Letters, 2024 Vol. 16, P.53-56, https://doi.org/10.14495/jsiaml.16.53, 2024/7/7
  • Li, L., J. Li, and T. Miyoshi, 2024: Chaos suppression through Chaos enhancement, Nonlinear Dyn(2024)., doi:10.1007/s11071-024-10426-z, 2024/10/6
  • Furukawa, K., H. Sakamoto, M. Ohhigashi, S. Shima, T. Sluka, and T. Miyoshi, 2024: Particle filter data assimilation for ubiquitous unstable trajectories of two-dimensional three-state cellular automata. Nonlinear Dyn., doi:10.1007/s11071-024-09803-5, 2024/08/18.
  • Liang, J., N. Sugimoto, and T. Miyoshi, 2024: Analyzing the Instabilities in the Venus Atmosphere Using Bred Vectors. Journal of Geophysical Research: Planets, 129, e2023JE008067. doi:10.1029/10.1029/2023JE008067
  • K. Takeda and T. Sakajo, Uniform error bounds of the ensemble transform Kalman filter for chaotic dynamics with multiplicative covariance inflation, https://doi.org/10.1137/24M1637192, 2024/11/11.
  • B. Protas, S. G. Llewellyn Smith and T. Sakajo, Editorial: Applied and computational complex analysis in the study of nonlinear phenomena, Physica D vol. 460 134025 (2024) (doi:10.1016/j.physd.2023.134025)
  • H. Miyazako and T. Sakajo, Defect pairs in nematic cell alignment on doubly connected domain, Proc. Roy. Soc. A vol. 480 20230879 (2024) (doi:doi.org/10.1098/rspa.2023.0879)
  • K. Takeda and T. Sakajo, Uniform error bounds of the ensemble transform Kalman filter for infinite-dimensional dynamics with multiplicative covariance inflation, SIAM J. Uncertainty Quantification accepted (2024)
  • B. Protas, S. G. Llewellyn Smith and T. Sakajo, Editorial: Applied and computational complex analysis in the study of nonlinear phenomena, Physica D vol. 460 134025 (2024) (doi:10.1016/j.physd.2023.134025)
  • Takashi Tsuboi, "坪井 俊, The perfectness of the group Diffω(CPn)0 of real-analytic diffeomorphisms of the n-dimensional complex projective space, 複素射影空間の実解析的微分同相群 Diffω(CPn)0 の完全性", 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 (9), (2024) 44--55., 2024/9
  • Takashi Tsuboi, "On origami embeddings of flat tori", J. Math. Sci. Univ. Tokyo, 31 (2024), 105-126., 2024/9
  • Tanaka, Y., Iwata, T., Ueda, N., "Neural operators for Hamiltonian and dissipative PDEs", Proc. of International Conference on Scientific Computation and Differenctial Equations", SciCADE2024, 2024/07/17.
  • Hachiya, H., Yoshida, H., Shimada, U., Ueda, N., "Multi-class AUC maximization for imbalanced ordinal multi-stage tropical cyclone intensity change forecast", Machine Learning with Applications, vol. 17, 100569, 2024/09/01.
  • Hachiya, H., Tarasuki, Y., Iwaki, A., Maeda, Y., Ueda, N., Fujiwara, H., "Interpretable deep inpainting based on subsurface structure data for spatial interpolation of seismic motions", Japan Association for Earthquake Engineering, JAEE24-079.R1, 2024/09/06.
  • Yamazono, R., Hachiya, H., "Permutation Dependent Feature Mixing in TSMixer for Multivariate Time Series Forecasting", Proc. of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD2024), 2024/09/09.
  • Hachiya, H., Kuroki, Y., Iwaki, A., Maeda, Y., Ueda, N., Fujiwara, H., " MLP-Mixer based surrogate model for seismic ground motion with spatial source and geometry parameters", Proc. of Asian Conference on Machine Learning (ACML2024), 2024/12/05.
  • Hachiya, H., Nishizawa, F., "A Transformer-based fully trainable point process", IEICE Transactions on Information and Systems, vol. advpub, 2024/12/12.
  • Kodama, C., H. Yashiro, T. Arakawa, D. Takasuka, S. Matsugishi, and H. Tomita, HPC Asia 2024, Best Paper Award, "Parallelized Remapping Algorithms for km-scale Global Weather and Climate Simulations with Icosahedral Grid System", HPCAsia '24: Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, p.35-46, January 2024. doi:10.1145/3635035.3635040
  • Nishizawa S.: "Extracting latent variables from forecast ensembles and advancements in similarity metric utilizing optimal transport", Journal of Geophysical Research: Machine Learning and Computation, 1 (2), e2023JH000112, 2024. https://doi.org/10.1029/2023JH000112, 2024
  • Yanase, T., S. Shima, S. Nishizawa, and H. Tomita: "Nonlocally coupled moisture model for convective self-aggregation", arXiv, Apr 5, 2024. https://doi.org/10.48550/ARXIV.2404.04146
  • Kurotani, A., Miyamoto, H. and Kikuchi, J., "Validation of causal inference data using DirectLiNGAM in an environmental small-scale model and calculation setting" MethodsX 12, 102508 (2024) doi:10.1016/j.mex.2023.102528
  • Yokoyama, D., Tsuboi, Y., Nagahata, R., Konno, H., Yoshida, M., Abe, H. and Kikuchi, J.* "Quantification of microbial community assembly processes during degradation on diverse plastispheres based on physicochemical characters and phylogenetic bin-based null model analysis" Sci. Total Environ. 931, 172401 (2024). doi:10.1016/j.scitotenv.2024.172401, 2024
  • Sakai S, Tanaka Y, Tsukamoto Y, Kimura-Ohba S, Hesaka A, Hamase K, Chin-Ling Hsieh C, Kawakami E, Ono H,Yokote K, Yoshino M, Okuzaki D, Matsumura H, Fukushima A,Mita M, Nakane M, Doi M, Isaka Y, Kimura T. d-Alanine Affects the Circadian Clock to Regulate Glucose Metabolism in Kidney. Kidney360. 2024 Feb 1;5(2):237-251. doi: 10.34067/KID.0000000000000345 .PMID: 38098136
  • Hanai A, Ishikawa T, Sugao S, Fujii M, Hirai K, Watanabe H, Matsuzaki M, Nakamoto G, Takeda T, Kitabatake Y, Itoh Y, Endo M, Kimura T, Kawakami E. Explainable Machine Learning Classification to Identify Vulnerable Groups Among Parenting Mothers: Web-Based Cross-Sectional Questionnaire Study JMIR Form Res 2024 Feb 7:8:e47372 doi: 10.2196/47372. PMID: 38324356
  • Ohta T, Hananoe A, Fukushima-Nomura A, Ashizaki K, Sekita A, Seita J, Kawakami E, Sakurada K, Amagai M, Koseki H, Kawasaki H Best practices for multimodal clinical data management and integration: An atopic dermatitis research case. PubMed Disclaimer 2024 Apr;73(2):255-263. doi: 10.1016/j.alit.2023.11.006. PMID: 38102028
  • Hanai A, Ishikawa T, Kawauchi S, Yuta Iida Y, Kawakami E. Generative artificial intelligence and non-pharmacological bias: an experimental study on cancer patient sexual health communications BMJ Health & Care Informatics, April 2024 doi: 10.1136/bmjhci-2023-100924 PMID: 38575326
  • Morita A, Iida Y, Inaba Y, Tezuka T, Kobayashi N, Choe H, Ike H, Kawakami E., Preoperative prediction for periprosthetic bone loss and individual evaluation of bisphosphonate effect after total hip arthroplasty using artificial intelligence. Bone & Joint Research, Apr 18, 2024. doi:10.1302/2046-3758.134.BJR-2023-0188.R1. PMID: 38631686 2024/04/18
  • Tagawa Y, Saito T, Iwai H, Sato M, Noda S, Yamamoto A, Ota M, Endo K, Koga H, Takahara Y, Sugimoto K, Sekiya I, Fujio K, Kawakami E., Mizoguchi F, Yasuda S., ARID5B is a negative modulator of IL-6 production in rheumatoid arthritis synovial fibroblasts. Immunological Medicine, 1-10, May 15, 2024. doi:10.1080/25785826.2024.2346956. PMID: 38747454, 2024/05/15
  • Setoguchi R, Sengiku T, Kono H, Kawakami E, Kubo M, Yamamoto T, Hori S., Memory CD8 T cells are vulnerable to chronic IFN-γ& signals but not to CD4 T cell deficiency in MHCII-deficient mice. Nature Communications 15(1): 4418-4418doi:10.1038/s41467-024-48704-4 PubMed ID : 38806459, May 28, 2024., 2024/05/28
  • Shitara Y, Konno R, Yoshihara M, Kashima K, Ito A, Mukai T, Kimoto G, Kakiuchi S, Ishikawa M, Kakihara T, Nagamatsu T, Takahashi N, Fujishiro J, Kawakami E, Ohara O, Kawashima Y, Watanabe E., Host-derived protein profiles of human neonatal meconium across gestational ages. Nature Communications 15(1): 5543-5543, Jul 17, 2024. doi:10.1038/s41467-024-49805-w. PMID: 39019879, 2024/07/17
  • Iwagami M, Inokuchi R, Kawakami E, Yamada T, Goto A, Kuno T, Hashimoto Y, Michihata N, Goto T, Shinozaki T, Sun Y, Taniguchi Y, Komiyama J, Uda K, Abe T, Tamiya N., Comparison of machine-learning and logistic regression models for prediction of 30-day unplanned readmission in electronic health records: A development and validation study. PLOS Digital Health 3(8): e0000578, Aug 2024. doi:10.1371/journal.pdig.0000578. PMID: 39163277, 2024/08/20
  • Izuka S, Umezawa N, Komai T, Sugimori Y, Kimura N, Mizoguchi F, Fujieda Y, Ninagawa K, Iwasaki T, Suzuki K, Takeuchi T, Ohmura K, Mimori T, Atsumi T, Kawakami E, Suzuki A, Kochi Y, Yamamoto K, Yasuda S, Okamura T, Ota M, Fujio K., The muscle tissue transcriptome of idiopathic inflammatory myopathy reflects the muscle damage process by monocytes and presence of skin lesions. Arthritis & Rheumatology (Hoboken, N.J.), Aug 20, 2024. doi:10.1002/art.42972. PMID: 39162115, 2024/08/20
  • Tanabe H, Sato M, Miyake A, Shimajiri Y, Ojima T, Narita A, Saito H, Tanaka K, Masuzaki H, Kazama JJ, Katagiri H, Tamiya G, Kawakami E, Shimabukuro M., Machine learning-based reproducible prediction of type 2 diabetes subtypes. Diabetologia, Aug 21, 2024. doi:10.1007/s00125-024-06248-8.PMID: 39168869, 2024/08/21
  • Kanaya T, Jinnohara T, Sakakibara S, Tachibana N, Sasaki T, Kato T, Riemann M, Jin J, Shiroguchi K, Kawakami E, Ohno H., RelB and C/EBPα critically regulate the development of Peyer's patch mononuclear phagocytes. Mucosal Immunology, Oct 14, 2024. doi:10.1016/j.mucimm.2024.10.005. PMID: 39413971, 2024/10/14
  • Sugaya S, Uchida M, Suzuki T, Kawakami E, Ishii I. Development of a robust predictive model for neutropenia after esophageal cancer chemotherapy using GLMMLasso. International journal of clinical pharmacy Nov 21, 2024. doi: 10.1007/s11096-024-01836-5, 2024/11/21
  • Sato K, Sakamoto S, Saito S, Shibata H, Yamada Y, Takeuchi N, Goto Y, Tomokazu S, Imamura Y, Ichikawa T, Kawakami E. Time-dependent personalized prognostic analysis by machine learning in biochemical recurrence after radical prostatectomy: a retrospective cohort study. BMC cancer 24(1) 1446-1446 Nov 25, 2024. doi:10.1186/s12885-024-13203-8, 2024/11/25
  • Ruiming Li, Eiryo Kawakami, BARToM: a Transformer-based approach for multimodal electronic health records transformation. Proceedings of the 2024 8th International Conference on Medical and Health Informatics:. 256-261, Sep 9, 2024. https://doi.org/10.1145/3673971.3673999
  • Improving Fine-Tuning with Latent Cluster Correction. Ho Thanh C. Fine-Tuning in Modern Machine Learning: Principles and Scalability (FITML) 2024, 31-Oct-24
  • Nonaka, N. , Fujihira, R., Koshiba, T., Maeda, A., and Seita, J. (2024). Rugby Scene Classification Enhanced by Vision Language Model. In Pro-ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 3256-3266). (Accepted), 18-Jun-24
  • Tanaka, K., Kato, K., Nonaka, N and Seita, J., 2024. Efficient HLA imputation from sequential SNPs data by Transformer. Journal of Human Genetics, 69(10), pp.533-540. (Accepted)., 02-Aug-24
  • Nonaka, N. and Seita, J: Boosting ECG Classification Performance by Pre-training with Synthesized Data. ECML-workshop (DEARING) 2024., 13-Sep-24
  • Efficient Self-supervised Pretraining with Simple Synthesized ECG (ML4H) 2024., 02-Nov-24
  • Yan, Xin, Goshi Ogita, Shuji Ishihara, Kaoru Sugimura "Bayesian parameter inference for epithelial mechanics." Journal of Theoretical Biology. Volume 595, 7 December 2024, 111960. https://doi.org/10.1016/j.jtbi.2024.111960

口頭発表/Oral

  • Takemasa Miyoshi, Advances and applications of satellite data assimilation of clouds, precipitation, and the ocean, DA Forum, University of Melbourne 2024/3/15
  • Takemasa Miyoshi, Qiwen Sun, Serge Richard, Yasumitsu Maejima, Lin Li, Koji Terasaki, Taking advantage of Chaos for efficient control of extreme weather, 104th AMS Annual Meeting, The Baltimore Convention Center, 2024/1/31
  • 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, 104th AMS Annual Meeting, Hilton Baltimore Inner Harbor, 2024/1/29
  • 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:「富岳」を使った30秒毎に更新するリアルタイム天気予報の東京オリンピック・パラリンピック期間中の実証実験、第3回「富岳」成果創出加速プログラム研究交流会、アキバホール(東京)、2024/3/12
  • 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、RESTEC(一般財団法人リモート・センシング技術センター)月例講演会、2024/2/27, オンライン
  • 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、慶應義塾大学自然科学研究教育センター講演会、2024/1/18
  • 三好建正、コンピュータの中にゲリラ豪雨を作る、理化学研究所 科学講演会「地球の未来を考えよう！~研究者の“わくわく”が未来を紡ぐ~」、未来館ホール(日本科学未来館),2024/2/23
  • Kota Takeda, Takashi Sakajo, Theoretical aspect of the ETKF and covariance inflation, DA Seminary at IMT Atlantique, IMT Atlantique, 2024/3/14.
  • 三好建正、データ同化研究の最先端と将来展望、日本原子力学会2024年春の年会、(企画セッション計算科学技術部会)、近畿大学東大阪キャンパス、2024/3/28
  • Arata Amemiya, The development and applications of the SCALE-LETKF system, The first NCU-RIKEN joint workshop on Data Assimilation for Severe Weather Prediction, Taoyuan, , 2024/3/1
  • Jianyu Liang, Norihiko Sugimoto, Takemasa Miyoshi: Analyzing the instabilities in the Venus atmosphere using Bred Vectors, workshop on Venus and other related atmospheres, 2024/3/25
  • K. Furukawa, Well-Posedness of One-Dimensional Drift-Diffusion Equations under Dynamic Conditions and the Fourth Boundary Condition, The 25th Northeastern Symposium on Mathematical Analysis, Sapporo, 2024, Feb.
  • Ohishi, Shun, Yuki Kobayashi, and Takemasa Miyoshi, "Including cross-correlation between forecast and observation errors in the ensemble Kalman filter", The First NCU-RIKEN Joint Workshop on Data Assimilation for Severe Weather Prediction, Taoyuan, Mar. 2024
  • Otsuka, S. and T. Miyoshi, Toward 3D precipitation nowcasting by fusing NWP DA AI : application of adversarial training. The 6th R-CCS International Symposium, poster, Kobe, 2024/1/29.
  • Taylor, J., A. Amemiya, S. Otsuka, T. Miyoshi. Precipitation forecasting with the SCALE-LETKF using phased array weather radar observations. NCU-RIKEN Workshop 2024, South Gardens Hotel, Taoyuan . 2024/2/29
  • 前島康光, 三好建正; 高頻度フェーズドアレイ気象レーダ同化による豪雨予測, 地球流体にみられる多様な現象に伴う流れの形成の力学, 2024/3/4-5
  • Takemasa Miyoshi, "Tokyo Olympics/Paralympics forecast experiment with phased array weather radar ", Deepdive session at IMT Atlantique, Brest, France, 2024/4/3.
  • Kota Takeda, Takashi Sakajo, Uniform error bounds of the ensemble transform Kalman filter with multiplicative covariance inflation for chaotic dynamics, 25th Prediction Science Seminar, R-CCS, 2024/4/12.
  • Miyoshi, T., Skabar, Y. G., Otsuka, S., Amemiya, A., Ruiz, J., Ushio, T., Tomita, H., Ushiyama, T., and Konishi, M.: Second Year Progress of PREVENIR: Japan-Argentina Cooperation Project for Heavy Rain and Urban Flood Disaster Prevention, EGU General Assembly 2024, Vienna, Austria, 2024/4/15, EGU24-13504, 2024/4/15.
  • Kota Takeda, Takashi Sakaji, Uniform error bounds of the ensemble transform Kalman filter for infinite-dimensional dynamics with multiplicative covariance inflation, 東北大学AIMR, 2024/4/19.
  • Kota Takeda, The Essence of Data Assimilation, The 1st SIAM Student Chapter Kyoto Seminar, Kyoto University, 2024/5/17.
  • 雨宮新, 三好建正, スーパーセル理想実験における高頻度データ同化による非ガウス性と解析値の改善, 日本気象学会春季大会, 東京(ハイブリッド), 2024/5/23.
  • 三好 建正, 大石 俊, Liang Jianyu, Konduru Rakesh Teja, 大塚 成徳, 小槻 峻司, 寺崎 康児, 岡崎 淳史, 富田 浩文, 金丸 佳矢, 佐藤 正樹, 八代 尚, 岡本 幸三, Kalnay Eugenia, 久保田 拓志, 可知 美佐子, Advances and Applications of Satellite Data Assimilation of Clouds, Precipitation, andthe Ocean, Japan Geoscience Union Meeting 2024, Chiba(online), Japan, 2024/5/27.
  • 三好 建正, 大石 俊, 富田 浩文, 大塚 成徳, Taylor James, Liang Jianyu, Konduru Rakesh Teja, 佐藤 正樹, 松岸 修平, 小槻 峻司, 岡﨑 淳史, 本田 匠, 岡本 幸三, 幾田 泰酵, 寺崎 康児, 八代 尚, 金丸 佳矢, 山崎 哲, A platform to design and pre-evaluate frequent satellite observing systems for innovatingweather, ocean and land surface prediction, Japan Geoscience Union Meeting 2024, Chiba(online), Japan, 2024/5/28.
  • Takemasa Miyoshi, Every 30-second Phased Array Radar Data Assimilation Proven Effective for Short-range Convective Weather Forecast, The 8th WMO Workshop on the Impact of Various Observing Systems on Numerical Weather Prediction and Earth System Prediction, SMHI, Sweden, 2024/5/28.
  • Arata Amemiya and Takemasa Miyoshi, Reduced non-Gaussianity and improved analysis by assimilating every-30-second radar observation with ensemble Kalman filter: a case of idealized deep convection, JpGU General meeting 2024, Chiba, Japan (hybrid), 2024/5/30.
  • Ohishi, Shun, Takemasa Miyoshi, and Misako Kachi, 'Deterministic and Ensemble forecasts of Kuroshio south of Japan ', Japan Geoscience Union Meeting 2024, Chiba, May, 2024/5/30.
  • 三好 建正, Skabar Yanina G., 大塚 成徳, 雨宮 新, Ruiz Juan, 牛尾 知雄, 富田 浩文, 牛山 朋來, 小西 雅也 , Second Year Progress of PREVENIR: Japan-Argentina Cooperation Project for Heavy Rainand Urban Flood Disaster Prevention, Japan Geoscience Union Meeting 2024, Chiba(online), Japan, 2024/5/30.
  • Takemasa Miyoshi, "Big Data Assimilation: Real-time 30-Second-Refresh Heavy Rain Forecast Using Fugaku during Tokyo Olympics and Paralympics", Seminar, Central Weather Administration, Taiwan, Invited, 2024/6/18.
  • Takemasa Miyoshi, "Toward next 100 years of data assimilation and numerical weather prediction ", MSROC Centennial Celebration and Symposium, Central Weather Administration, Taiwan, Keynote, 2024/6/19.
  • Takemasa Miyoshi, Yanina SKABAR, Shigenori OTSUKA, Arata AMEMIYA,Juan RUIZ, Tomoo USHIO, Hirofumi TOMITA, Tomoki USHIYAMA , Masaya KONISHI, Second Year Progress of PREVENIR: Japan-argentina Cooperation Project for Heavy Rain and Urban Flood Disaster Prevention, 2024 AOGS Annual Meeting, Alpensia Convention Centre, Pyeongchang, Korea, 2024/6/27 2024/6/27.
  • Kota Takeda, Takashi Sakajo, Mathematical Analysis of the Ensemble Kalman filter, The 17th SIAM East Asia Section Conference, Macao University, 2024/6/30.
  • Takemasa Miyoshi, Big Data Assimilation Revolutionizing Numerical Weather Prediction Using Fugaku, 24th International Conference on Computational Science (ICCS2024), Malaga, Spain, 2024/7/02.
  • Takemasa Miyoshi, Advances and applications of satellite data assimilation of clouds, precipitation, and the ocean, 11th workshop of International Precipitation Working Group(IPWG-11), Tokyo, Japan, 2024/7/18.
  • Otsuka, S., Application of quantitative precipitation estimates to nowcasting. PREVENIR short course on "Quantitative precipitation estimation with satellites and its applications to nowcasting ", Buenos Aires, 2024/8/5.
  • Takemasa Miyoshi, ビッグデータ同化：ゲリラ豪雨予測から予測科学へ, Big Data Assimilation Revolutionizing Numerical Weather Prediction Using Fugaku, IEEE東京支部第5回講演会, (オンライン), 2024/8/21.
  • 大石俊, 三好建正, 可知美佐子, 「黒潮の決定論的予測とアンサンブル予測」, 第28回海洋データ同化夏の学校, 青森県, 2024/8/22.
  • Kota Takeda, Takashi Sakajo, Mathematical Analysis of Data Assimilation for Dissipative Dynamical Systems,RIKEN 2024 Summer School, Kobe, 2023/9/2.
  • Kota Takeda, Takashi Sakajo, Uniform error bounds of the ensemble transform Kalman filter for chaotic dynamics with multiplicative covariance inflation, 日本数学会2024年度秋季総合分科会, 大阪大学, 2024/9/6.
  • Kota Takeda, Takashi Sakajo, データ同化の数理, The 1st Kyoto and Waseda SIAM Student Chapter Conference, 京都大学, 2024/9/13.
  • Kota Takeda, Takashi Sakajo, Error analysis of the ensemble square root filters with multiplicative inflation for dissipative dynamical systems, The CRC International Summer School, Boltenhagen, 2024/9/16.
  • Takemasa Miyoshi, Toward next 100 years of data assimilation and numerical weather prediction, The CRC International Summer school 2024, Boltenhagen, 2024/9/17.
  • Takemasa Miyoshi,Toward efficient control of extreme weather events, The CRC International Summer school 2024, Boltenhagen, 2024/9/17.
  • 大石俊, 三好建正, 可知美佐子, 「黒潮の決定論的予測とアンサンブル予測」, 日本海洋学会2024年度秋季大会, 東京都, 2024年9月 2024/9/19.
  • 大塚成徳: ゲリラ豪雨と天気予報. 三宮図書館で識る, 神戸, 2024年9月28日. 2024/9/28.
  • Kota Takeda, Takashi Sakajo, Error analysis of the ensemble Kalman filter, 数学・数理科学専攻若手研究者のための異分野・異業種研究交流会, 東京科学大学, 2024/10/19.
  • Arata Amemiya and Takemasa Miyoshi,Reduced non-Gaussianity and improved analysis by assimilating every-30-second radar observation: a case of idealized deep convection, International Symposium on Data Assimilation, Kobe, Japan, 2024/10/22.
  • Jianyu Liang, Craig Bishop, Takemasa Miyoshi, Assimilation of Bounded Observations whose Errors are a Function of the True State: Evaluation Using a New Tracer Model Based on Lorenz-96. The 10th International Symposium on Data Assimilation. Kobe. 2024/10/23.
  • Otsuka, S. and T. Miyoshi, Global precipitation nowcasting using a ConvLSTM with adversarial training. ISDA2024, Kobe, 2024/10/24.
  • Kota Takeda, Takashi Sakajo, データ同化の数学解析と数値解析的な課題, RIMS共同研究 (公開型) 計算科学に資する数値解析学の展開, 京都大学数理解析研究所, 2024/10/24.
  • Takemasa Miyoshi, Advances and applications of satellite data assimilation of clouds, precipitation, and the ocean, ISDA2024, Kobe, 2024/10/25.
  • Ohishi, Shun, Takemasa Miyoshi, and Misako Kachi, 'LETKF-based Ocean Research Analysis (LORA) in 2015-2023 ', 6th WCRP International Conference on Reanalysis, Tokyo, Oct. 2024 2024/10/29.
  • Takemasa Miyoshi, Advances and applications of satellite data assimilation of clouds, precipitation, and the ocean, Jaxa PI meeting, Tokyo, 2024/11/21
  • 三好建正、データ同化研究の最先端と将来展望、AI技術利用に関するセミナー, 「ものづくりにおけるAIの活用」、POWTEX2024 第25回国際粉体工業展東京、2024/11/28
  • Miyoshi, T., Skabar, Y. G., Otsuka, S., Amemiya, A., Ruiz, J., Ushio, T., Tomita, H., Ushiyama, T., and Konishi, M, Third Year Progress of PREVENIR: Japan-ArgentinaCooperation Project for Heavy Rain and Urban Flood Disaster Prevention. American Geophysical Union Annual meeting, 2024/12/12
  • Takemasa Miyoshi, 予測科学/ Prediction Science, U Toyama-RIKEN Joint Workshop on Prediction Science Toyama, 2024/12/24.
  • Takashi Sakajo, "Topological Flow Data Analysis for Blood Flows inside a Heart", GEOTOP-A International Conference -- Applications of Geometry and Topology, Merida, Mexico, 2024/1/8
  • Takashi Sakajo, "Analytic models of nematic cell alignment", ACCA India/Japan Workshop, 2024/2/21
  • Takashi Sakajo, "Topological Flow Data Analysis (TFDA): theory and applications", Colloquium at Indian Instritute of Technology, Hyderabad, 2024/2/21
  • T. Sakajo, "Topological Flow Data Analysis for Blood Flows Inside a Heart", Equadiff2024, Karlstad Univ., Karlstad, Sweden, 2024/6/11
  • T. Sakajo, "One-dimensional hydrodynamic PDE model of turbulent flow with the enstrophy cascade", Equadiff 2024, Karlstad Univ., Karlstad, Sweden (June 13), plenary speaker, 2024/6/13
  • T. Sakajo, "One-dimensional hydrodynamic PDE model of turbulent flow with the enstrophy cascade" XLIV Dynamcis Days Europe, Constructor Univ., Bremen, Gernmany (Aug 1), mini-symposium, invited speaker, 2024/8/1
  • T. Sakajo, "Capturing the dynamics of topological vortex structures in the left ventricle of the heart" ICTAM2024, EXCO, Daegu, Korea, 2024/8/26
  • 坂上貴之, 「二重周期領域流れの流線トポロジカルデータ解析」 日本応用数理学会年会2024, 京都大学, 2024/9/13
  • T. Sakajo, "Topological Flow Data Analysis and its applications to atmospheric and ocean flows", Workshop: Vortices in flids and superfluids. Geophysics and quantum physics flows, University of Rouen Normandy (Sep. 23), 2024/9/23
  • 坂上貴之 「流線トポロジカルデータ解析と心血流データへの応用」, シンポジウム「データサイエンスと生命医科学研究のフロンティア」(東京大学), 2024/10/22
  • 坂上貴之 「隣接分野からMS10への参画の可能性」 第41回プラズマ・核融合学会 年会 (タワーホール船堀), 2024/11/17
  • 坂上貴之 「心臓血流の「かたち」を言葉に！〜流線トポロジカルデータ解析とその応用」 未来社会創造事業 第3回公開成果報告会 (ベルサール半蔵門, 東京), 2024/12/09
  • 坂上貴之 「流れの情報をことばに〜流線トポロジカルデータ解析とその産業課題へ応用の試み」 日本応用数理学会ものづくり分科会講演会 (京大東京オフィス, 東京), 2024/12/17
  • Takashi Tsuboi, "On the group of real-analytic diffeomorphisms", CIRM, France, 2024/12/9-13
  • Stanley Brian Rosete SAYSON, Tsuyoshi ICHIMURA, Kohei FUJITA, Muneo HORI, Lalith MADDEGEDARA, Naonori UEDA, Development of HPC-Enhanced 3D Wave Propagation Simulation Method and its Application to Subsurface Structure Estimation, 44th Earthquake Engineering Conference, JSCE, 2024. ,2024/5/1
  • 黒木悠斗, 八谷大岳, 岩城麻子, 前田宜浩, 上田修功, 藤原広行, 地震ハザード評価のための地震動シミュレーションの代理モデルの構築とその拡張, 第27回 画像の認識・理解シンポジウム (MIRU2024), 2024, 2024/8/6
  • 上田修功, 防災分野におけるAI活用, 2023年度立命館大学防災フロンティア研究センターシンポジウム (招待講演), 2024/1/26
  • 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, ハイブリッド量子ナノ技術委員会 (招待講演), 2024/3/12
  • 上田修功, 情報と数理の融合について, JST研究開発戦略センター (CRDS)ワークショップ (招待講演), 2024/8/31
  • Hachiya, H., A deep learning-based approach for forecasting ground motion and precipitation, Japan Geoscience Union (JpGU) Meeting (招待講演), 2024
  • Kawai Y. and H. Tomita, "Validation of a Global Nonhydrostatic Atmospheric Dynamical Core using Discontinuous Galerkin method", AMS 104th Annual Meeting, Baltimore, U.S.A., Jan 28 - Feb 1, 2024.
  • Nishizawa, S.: "最適輸送を利用した類似度を用いたアンサンブルからの潜在変数の抽出", Spring Meeting 2024: The Meteorological Society of Japan, Online, (in Japanese) 2024/5/23.
  • Kong, K., A. Amemiya, T. Yamaura, K. Sueki, and H. Tomita: "Quantifying the relationships between parameter identifiability and parameter ensemble spread in the DA-based parameter estimation: An ideal 2D squall-line experiment", JpGU Meeting 2024, Chiba, Japan, 2024/05/29.
  • Nishizawa, S.: "最適輸送を利用した類似度を用いたアンサンブルからの潜在変数の抽出", Spring Meeting 2024: The Meteorological Society of Japan, Online, (in Japanese) 2024/5/23.
  • Kawai, Y., and H. Tomita: "不連続ガラーキン法を用いた全球大気力学コアの開発: 乱流モデルの導入と検証実験", Japan Geoscience Union Meeting 2024, Chiba, Japan, (in Japanese) 2024/5/29.
  • Nishizawa, S.: "Extracting latent variables from forecast ensembles and advancements in similarity metric utilizing optimal transport", The 15th International Meeting on Statistical Climatology, Toulouse, France, 2024/6/27.
  • Yanase, T., S. Shima, S. Nishizawa, and H. Tomita: "対流自己集合化の非局所結合水蒸気モデル", Otsuchi Symposium 2024, Otsuchi, Japan, (in Japanese) 2024/8/5.
  • Yanase, T., S. Shima, S. Nishizawa, and H. Tomita: "雲の大規模な自己組織化を表す非局所結合水蒸気モデル", 2024 meeting of Japan Society of Fluid Mechanics, Sendai, Japan, (in Japanese) 2024/9/27.
  • Kawai, Y., and H. Tomita: "不連続ガラーキン法を用いたレイリー・べナール対流の直接数値実験: 力学スキームの高精度化の効果", Fall Meeting 2024: The Meteorological Society of Japan, Tsukuba, Japan, (in Japanese) 2024/11/12.
  • Yanase, T., S. Shima, S. Nishizawa, and H. Tomita: "湿潤対流の自己集合化の非局所結合水蒸気モデル", Fall Meeting 2024: The Meteorological Society of Japan, Tsukuba, Japan, (in Japanese).2024/11/14.
  • Adachi, S. A., S. Nishizawa, Y. Sato, S. Shima, and H. Tomita: "準理想スコールライン実験の結果の不確実性における雲物理スキームと水平解像度の寄与の比較", Fall Meeting 2024: The Meteorological Society of Japan, Tsukuba, Japan, (in Japanese) 2024/11/15.
  • Kawai, Y., and H. Tomita: "Development of high-order atmospheric dynamical core using discontinuous Galerkin method considering global LES", AGU24 Annual Meeting, Washington D.C., USA, 2024/12/11.
  • 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, 2024/2/12
  • 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, 2024/2/17
  • 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, 2024/3/25
  • 川上英良, AIによって和漢医薬診療はどう変わるか −現状と未来−,第41回和漢医薬学会学術大会, 千葉, 2024/8/24
  • 川上英良, 数理医学 in Mathematical Biology I, 2024年度日本数理生物学会年会, 札幌, 2024/9/11
  • Li Ruiming, Kawakami E., BARToM: a Transformer-based approach for multimodal electronic health records transformation, Proceedings of the 2024 8th International Conference on Medical and Health Informatics, BEST PRESENTATION, Yokohama, 2024/5/17
  • Tomoki Ishibashi, Ryohei Nishizawa, "Cellular-level left-right asymmetry, cell chirality, induces the chiral collective rotation of multicellular colony" iTHEMS Biology Seminar, February 15, 2024, RIKEN, iTHEMS, Wako
  • 西澤凌平, 石橋朋樹, 荻田豪士, 柴田達夫 "数理モデルによる, 細胞集団のキラルな集団回転の解明". 第79回 日本物理学会, 2024年9月16-19日, 北海道大学札幌キャンパス会場, 北海道2024年9月16-19日
  • 荻田豪士 "上皮組織力学のシステム同定にむけて: 画像データにもとづく統計推定によるアプローチq" メカノバイオ討論会2024, オンライン (招待講演), 2024/12/13
  • Goshi Ogita "Kalman force inference for epithelial deformation: a force inference method for time-lapse movies" U Toyama-RIKEN Joint Workshop on Prediction Science、富山大学五福キャンパス, 2024年12月23-24日

ポスター発表/Poster

  • 荻田豪士、石原秀至、杉村薫、三好建正、柴田達夫 "データ同化による上⽪組織の⼒推定：⼈⼯データによる検証" 第11回定量生物学の会年会、2024年1月6-7日、東京大学駒場キャンパス、東京
  • Goshi Ogita, Kaoru Sugimura, Shuji Ishihara, Tatsuo Shibata "Kalman force inference for epithelial deformation: a force inference method for time-lapse movies" 9th RIKEN Life Science Retreat, 2024年1月30-31日, Nagaragawa Convention Center, Gifu
  • Otsuka, S. and T. Miyoshi, Global precipitation nowcasting using a ConvLSTM with adversarial training. U Toyama-RIKEN Joint Workshop on Prediction Science, Toyama, 2024/12/23.
  • Adachi, S. A., S. Nishizawa, Y. Sato, S. Shima, and H. Tomita: "Comparison of influences between microphysics schemes and resolution on uncertainty of simulation results in heavy-precipitation cases", GEWEX-OSC 2024, Sapporo, Japan, 2024/7/10.
  • Kong, K., A. Amemiya, T. Yamaura, K. Sueki, S. Nishizawa, Y. Kajikawa, and H. Tomita: "Comparison in performances between single and multiple parameter estimation using data-assimilation method: a case study in an ideal 2D squall-line experiment", Fall Meeting 2024: The Meteorological Society of Japan, Tsukuba, Japan, 2024/11/12.
  • Kong, K., A. Amemiya, T. Yamaura, K. Sueki, S. Nishizawa, Y. Kajikawa, and H. Tomita: "Comparison in Performances between Single and Multiple Parameter Estimations using Data-Assimilation Method: A Case Study in an Ideal 2D Squall-line Experiment", AGU24 Annual Meeting, Washington D.C., USA, 2024/12/9.
  • 西澤凌平, 石橋朋樹, 荻田豪士, 柴田達夫 "数理モデルによる, 細胞集団のキラルな集団回転の解明"., 研究会「理論と実験」2024, 広島大学, 東広島, 2024年10月10-11日
  • 荻田 豪士、三好建正、柴田達夫 "カルマンフィルタによる上皮組織の力推定". 研究会「理論と実験」2024, 広島大学, 東広島, 2024年10月10-11日
  • Goshi Ogita, Takemasa Miyoshi, atsuo ShibataT "Kalman force inference for epithelial deformation: a force inference method for time-lapse movies". ISDA2024, Kobe 2024年10月21-25日
  • Ryohei Nishizawa, Tomoki Ishibashi, Goshi Ogita, and Tatsuo Shibata "A theoretical model for chiral collective rotation of multicellular colony", U Toyama-RIKEN Joint Workshop on Prediction Science. 富山大学五福キャンパス, 2024年12月23-24日

受賞/Award

  • 前島康光、理研 研究奨励賞 (桜舞賞) Observing System Simulation Experiments of a Rich Phased Array Weather Radar Network Covering Kyushu for the July 2020 Heavy Rainfall Event, 2024/3/12
  • Rakesh Teja Konduru, 11th Workshop of the International Precipitation Working Group Highly Commendable Presentation Award, 2024/7/18
  • Rakesh Teja Konduru, 10th International Symposium on the Data Assimilation, Best Poster Award, Improving Small-scale Tropical Precipitation Forecast by Assimilating Frequent and Dense Satellite Microwave Observations, 2024/10/25
  • 三好建正、データ同化研究の最先端と将来展望. 日本原子力学会誌アトモス、66(No.11), 587-588. 2024年11月., 2024/11/1
  • 西澤凌平、学生発表賞, 「理論モデルによる、細胞集団のキラルな回転運動の解明」メカノバイオロジー討論会, オンライン. 2024/12/12
  • Kodama, C., H. Yashiro, T. Arakawa, D. Takasuka, S. Matsugishi, and H. Tomita, HPC Asia 2024, Best Paper Award, "Parallelized Remapping Algorithms for km-scale Global Weather and Climate Simulations with Icosahedral Grid System", HPCAsia '24: Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, p.35-46, January 2024. doi:10.1145/3635035.3635040

プレスリリース/Press Release

シンポジウム/Symposium

  • The 10th International Symposium on Data Assimilation, Oct. 21-25, 2024, Kobe, 2024/10-21-25
  • SLMath Summer Graduate School "h-principle", 2024/7/1-12