永田 貴之 (Takayuki Nagata)

特任助教

email: takayuki.nagata[at_mark]mae.nagoya-u.ac.jp

researchmap

研究テーマ

  • 圧縮性低レイノルズ数流れ・圧縮性混相流
  • 低圧環境における可視化計測
  • データ駆動型低次元モデルの応用

経歴

  • 2024.10.01-現在     　名古屋大学 大学院工学研究科航空宇宙工学専攻 空力・推進講座 流体力学研究グループ 助教
  • 2023.11.01-2024.09.30     　名古屋大学 大学院工学研究科航空宇宙工学専攻 空力・推進講座 流体力学研究グループ 特任助教
  • 2021.03.01-2023.10.31　東北大学 大学院工学研究科 航空宇宙工学専攻 航空システム講座 実験空気力学分野 特任助教 (研究)
  • 2020.04.01-2021.02.28　東北大学 大学院工学研究科 航空宇宙工学専攻 航空システム講座 実験空気力学分野 学術研究員
  • 2018.06.01-2018.07.31　Visiting Scholar, Department of Mechanical and Aerospace Engineering, The University of Virginia
  • 2018.04.01-2020.03.31　日本学術振興会特別研究員 DC2
  • 2017.04.01-2020.03.31　東北大学 学際高等研究教育院 博士研究教育院生 (先端基礎科学領域基盤)
  • 2017.06.01-2017.07.31　東北大学流体科学研究所「流動ダイナミクス知の融合教育研究世界拠点」 リサーチアシスタント

学歴

  • 2017.04-2020.03  東北大学 大学院工学研究科 航空宇宙工学専攻 博士後期課程
  • 2015.04-2017.03  東海大学 大学院工学研究科 航空宇宙工学専攻 修士課程
  • 2011.04-2015.03  東海大学 工学部　航空宇宙工学科 航空宇宙工学専攻

論文

  • Nagata, T., Kasai, M., Kusama, K., Asai, K., and Nonomura, T., "Investigation on Mach and Reynolds numbers effects on subsonic flow over square cylinder through wind tunnel experiment at Reynolds number of O(103)," (under revision).
  • Nagata, T., Nonomura, T., Kanzaki, Y., Nagatsuka, A., and Asai, K., "Compressibility effects on flow over NACA 4-digit airfoil with different thicknesses at Re=10,000," AIAA Journal, (under review).
  1. Nagata, T., Shigeta, T., Kasai, M., and Nonomura, T., "Schlieren visualization and drag measurement on compressible low-Reynolds-number flow over a circular cylinder at Reynolds number of O(102)," Experiments in Fluids, Vol. 66, No. 91, pp. 1-17 (2025).
  2. Sasaki, Y., Yamada, K., Nagata, T., Saito, Y., and Nonomura, T., "Fast data-driven greedy sensor selection for ridge regression," IEEE Sensors Journal, Vol. 25, No. 6, pp. 10030-10045 (2025).
  3. Yokota, S., Nagata, T., and Nonomura, T., "Unsteady flow field behind levitated short-finite circular cylinder with angle of attack," Journal of Fluid Mechanics, Vol. 1002, A47, pp. 1-35 (2025).
  4. Okabayashi, N., Hirai, K., Nagata, T., Makiyama, K., Matsuzaki, J., Fukuda, K., Takahashi, S., Komeya, M., and Kimura, H., "Discrete element method-based simulation system for predicting natural stone evacuation pathways in patients with urolithiasis," Computers in Biology and Medicine, Vol. 184, pp. 1-10, 109454 (2025).
  5. Iwasaki, Y., Sasaki, Y., Nagata, T., Kaneko, S., and Nonomura, T., "Dynamic mode decomposition based on expectation–maximization algorithm for simultaneous system identification and denoising," Mechanical Systems and Signal Processing, Vol. 223, No. 111864, pp. 1-28 (2025).
  6. Lee, C., Ozawa, Y., Nagata, T., Colonius, T., and Nonomura, T., "Superresolution and analysis of three-dimensional velocity fields of underexpanded jets in different screech modes," Physical Review Fluids, Vol. 9, 104604, pp. 1-30 (2024).
  7. Kong, D., Li, E., Uchida, K., Nagata, T., and Nonomura, "Measuring tiny pressure fluctuations using fast pressure-sensitive paint and phase-lock technology: Uniformity evaluation of resonance tube," Measurement, Vol. 242, Part A, 115832, pp. 1-13, (2024).
  8. Sun, J., Mukuhira, Y., Nagata, T., Nonomura, T., Fehler, M. C., Moriya, H., Nakata, N., and Ito, T., "P-S travel time detection and hypocenter location of low SNR events using polarization in the time-frequency domain," Bulletin of the Seismological Society of America, Vol. 114, No. 5, pp. 2359-2375 (2024).
  9. Nagata, T., Sasaki, Y., Yamada, K., Watanabe, M., Tsubakino, D., and Nonomura, T., "Assessment of sensor optimization methods toward state estimation in a high-dimensional system using Kalman filter," IEEE Sensors Journal, Vol. 24, No. 11, pp. 18012-18023 (2024).
  10. Inoba, R., Uchida, K., Iwasaki, Y., Yamada, K., Jebli, A., Nagata, T., Ozawa, Y., and Nonomura, T., "Improved estimation of yaw angle and surface pressure distribution of Ahmed model with optimized sparse sensors by Bayesian framework based on pressure-sensitive paint data," Experimental Thermal and Fluid Science, Vol. 156, 111210, pp. 1-13 (2024).
  11. Kasai, M., Nagata, T., and Nonomura, T., "Indexes for evaluation of dynamic characteristics of pressure-sensitive paint based on pressure sensitivity and frequency response," Measurement Science and Technology, Vol. 35, 065101, pp. 1-11 (2024).
  12. Nagata, T., Mukuhira, Y., Sun, J., Moriya, H., and Nonomura, T., “Polarization analysis in time–frequency domain by complex spectral matrix: application to various phases of seismogram,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 5903915, pp. 1-15 (2024).
  13. Yokota, S., Nagata, T., Kasai, M., Oka, Y., and Nonomura, T., "Base pressure fluctuations on levitated freestream-aligned circular cylinder," Physics of Fluids, Vol. 36, 015112, pp. 1-19 (2024).
  14. Saito, Y., Nakai, K., Nagata, T., Yamada, K., Nonomura, T., Sakaki, K., and Nunome, Y., "Sensor selection with cost function using nondominated-solution-based multi-objective greedy method," IEEE Sensors Journal, Vol. 23, No. 24, pp. 31006-31016 (2023).
  15. Shigeta, T., Nagata, T., and Nonomura, T., “Density field reconstruction from time-series schlieren images via extended phase consistent dynamic mode decomposition,” Experiments in Fluids, Vol. 64, 130, pp. 1-24 (2023).
  16. Takahashi, S., Sasaki, Y., Nagata, T., Yamada, K., Nakai, K., Saito, Y., and Nonomura, T., "Sensor selection by greedy method for linear dynamical systems: comparative study on Fisher-information-matrix, observability-Gramian and Kalman-filter-based indices," IEEE Access, Vol. 11, pp. 67850-67864 (2023).
  17. Yamada, K., Sasaki, Y., Nagata, T., Nakai, K., Tsubakino, D., and Nonomura, T., "Efficient sensor node selection for observability Gramian optimization," Sensors, Vol. 23, No. 13, 5961, pp. 1-21 (2023).
  18. Lee, C., Ozawa, Y., Nagata, T., and Nonomura, T., “Superresolution of time-resolved three-dimensional density fields of the B mode in an underexpanded screeching set,” Physics of Fluids, Vol. 35, No. 6, 065128, pp. 1-22 (2023).
  19. Iwasaki, Y., Nagata, T., Sasaki, Y., Nakai, K., Inubushi, M., and Nonomura, T., “Reservoir computing reduced-order model based on particle image velocimetry data of post-stall flow,” AIP Advances, Vol. 13, No. 6, 065312, pp. 1-16 (2023).
  20. Oka, Y., Ozawa, Y., Nagata, T., Asai, K., and Nonomura, T., “Experimental investigation of the supersonic cavity by spectral-POD of high-sampling rate pressure-sensitive paint data,” Experiments in Fluids, Vol. 64, 108, pp. 1-17 (2023).
  21. Nakai, K., Nagata, T., Yamada, K., Saito, Y., Nonomura, T., Kano, M., Ito, S., and Nagao, H., “Observation site selection for physical model parameter estimation toward process-driven seismic wavefield reconstruction,” Geophysical Journal International, Vol. 234, No. 3, pp. 1786-1805 (2023).
  22. Nagata, T., Yamada, K., Nakai, K., Saito, Y., and Nonomura, T., “Randomized group-greedy method for large-scale sensor selection problems,” IEEE Sensors Journal, Vol. 23, No. 9, pp. 9536-9548 (2023).
  23. Kasai, M., Nagata, T., Nonomura, T., and Asai, K., “Evaluation of characteristics of fast-response pressure-sensitive paint under low-pressure conditions,” Measurement Science and Technology, Vol. 34, No. 7, 075103, pp. 1-15 (2023).
  24. 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. 322, No. 1, pp. 33-50 (2023).
  25. Nakai, K., Sasaki, Y., Nagata, T., Yamada, K., Saito, Y., and Nonomura, T., “Nondominated-solution-based multiobjective-greedy sensor selection for optimal design of experiments,” IEEE Transactions on Signal Processing, Vol. 70, pp. 5694-5707 (2022).
  26. Nagata, T., Yamada, K., Nonomura, T., Nakai, K., Saito, Y., and Ono, S., “Data-driven sensor selection method based on proximal optimization for high-dimensional data with correlated measurement noise,” IEEE Transactions on Signal Processing, Vol, 70, pp. 5251-5264 (2022).
  27. Takahashi, S., Nagata, T., Mizuno, Y., and Nonomura, T., “Effect of particle arrangement and density on aerodynamic interference between twin particles interacting with a plane shock wave,” Physics of Fluids, Vol. 34, 113301, pp. 1-15 (2022).
  28. Iwasaki, Y., Nonomura, T., Nakai, K., Nagata, T., Saito, Y., and Asai, K., “Evaluation of optimization algorithms and noise robustness of sparsity-promoting dynamic mode decomposition,” IEEE Access, Vol. 10, pp. 80748-80763 (2022).
  29. Kasai, M., Nagata, T., Sato, Y., Nonomura, T., and Asai, K., “Optimal gate selection method for lifetime-based PSP measurement with temperature correction,” Measurement Science and Technology, Vol. 33, 095203, pp. 1-20 (2022).
  30. Nagata, T., Sato, H., Okochi, M., Matsuyama, T., Sugioka, Y., Kasai, M., Kusama, K., Numatam, D., Nonomura, T., and Asai, K., “Visualization of pressure and skin-fiction fields on rotating blade under low-pressure conditions,” AIAA Journal, Vol. 60, No. 9, pp. 5422-5435 (2022). 
  31. Oka, Y., Nagata, T., Kasai, M., Ozawa, Y., Asai, K., and Nonomura, T., “Practical fast-response anodized-aluminum pressure-sensitive paint using chemical adsorption luminophore as optical unsteady pressure sensor,” Sensors, Vol. 22, No. 17, 6401, pp. 1-23 (2022). 
  32. Inoba, R., Uchida, K., Iwasaki, Y., Nagata, T., Ozawa, Y., Saito, Y., Nonomura, T., and Asai, K., "Optimization of sparse sensor placement for prediction of wind direction using time-averaged pressure-sensitive paint data on automobile model," Journal of Wind Engineering and Industrial Aerodynamics, Vol. 227, 105043, pp. 1-13 (2022).
  33. Ozawa, Y., Nagata, T., Nonomura, T., and Asai, K., “Spatiotemporal superresolution measurement based on POD and sparse regression applied to a supersonic jet measured by PIV and near-field microphone,” Journal of Visualization, Vol. 25, pp. 1169-1187 (2022).
  34. Ohmizu, K., Ozawa, Y., Nagata, T., Nonomura, T., and Asai, K., "Demonstration and verification of exact DMD analysis applying to double-pulsed schlieren image of supersonic impinging jet," Journal of Visualization, Vol. 25, pp. 929-943 (2022).
  35. Nagata, T., Nonomura, T., Ohtani, K., and Asai, K., “Schlieren visualization and motion analysis of an isolated and clustered particles after interacting with planar shock,” Transactions of the Japan Society for Aeronautical and Space Sciences, Vol. 65, No. 4, pp. 185-194 (2022).
  36. Caros, L., Buxton, O. R. H., Shigeta, T., Nagata, T., Nonomura, T., Asai, K., and Vincent, P. E., “Direct numerical simulation of flow over a triangular airfoil under Martin atmospheric conditions,” AIAA Journal, Vol. 60, No. 7, pp. 3961-3972 (2022).
  37. Shigeta, T., Nagata, T., Nonomura, T., and Asai, K., “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).
  38. Suzuki, K., Inoue, T., Nagata, T., Kasai, M., Nonomura, T., and Matsuda, Y., “Markerless image alignment method for pressure-sensitive paint measurement,” Sensors, Vol. 22, 453, pp. 1-10 (2022).
  39. Saito, Y., Yamada, K., Kanda, N., Nakai, K., Nagata, T., and Nonomura, T., “Data-driven determinant-based greedy under/oversampling vector sensor placement,” Computer Modeling in Engineering & Sciences, Vol. 129, No. 1, pp. 1-30 (2021).
  40. Kasai, M., Sasaki, D., Nagata, T., Nonomura, T., and Asai, K., “Frequency response of pressure-sensitive paints under low-pressure conditions,” Sensors, Vol. 21, No. 9, 3187, pp. 1-10 (2021).
  41. Saito, Y., Nonomura, T., Yamada, K., Nakai, K., Nagata, T., Asai, K., Sasaki, Y., and Tsubakino, D. “Determinant-based fast greedy sensor selection algorithm,” IEEE Access, Vol. 9, pp. 68535-68551 (2021).
  42. Nagata, T., Nonomura, T., Nakai, K., Yamada, K., Saito, Y., and Ono, S., “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).
  43. Loth, E., Daspit, J. T., Hanrahan, M. J., Nagata, T., and Nonomura, T., “Supersonic and hypersonic drag coefficients for a sphere,” AIAA Journal, Vol. 59, No. 8, pp. 3261-3274 (2021).
  44. Nakai, K., Yamada, K., Nagata, T., Saito, Y., and Nonomura, T., "Effect of objective function on data-driven greedy sparse sensor optimization," IEEE Access, Vol. 9, pp. 46731-46743 (2021).
  45. Herrero, A. G., Noguchi, A., Kusama, K., Shigeta, T., Nagata, T., Nonomura, T., and Asai, K., “Effects of compressibility and Reynolds number on the aerodynamics of a simplified corrugated airfoil,” Experiments in Fluids, Vol. 62, No. 4, 63, pp. 1-20 (2021).
  46. Okudera, T., Nagata, T., Kasai, M., Saito, Y., Nonomura, T., and Asai, K., “Effect of oxygen mole fraction on static properties of pressure-sensitive paint,” Sensors, Vol. 21, No. 9, 1062, pp. 1-15 (2021).
  47. Kusama, K., Nagata, T., Anyoji, M., Nonomura, T., and Asai, K., “Investigation of Mach number effect on flow over a flat plate at Reynolds number of 1.0 × 104 by schlieren visualization,” Fluid Dynamics Research, Vol. 53, 015513, pp. 1-19 (2021).
  48. Nagata, T., Nonomura, T., Takahashi, S., and Fukuda, K., “Direct numerical simulation of subsonic, transonic and supersonic flow over an isolated sphere up to a Reynolds number of 1000,” Journal of Fluid Mechanics, Vol. 904, A36, pp. 1-27 (2020).
  49. Kasai, M., Sugioka, Y., Yamamoto, M., Nagata, T., Nonomura, T., Asai, K., and Hasegawa, Y., “Characteristic evaluation of chameleon luminophore dispersed in polymer,” Sensors, Vol. 20, No. 9, 2623, pp. 1-20 (2020).
  50. Nagata, T., Noguchi, A., Kusama, K., Nonomura, T., Komuro, A., Ando, A., and Asai, K., “Experimental investigation on compressible flow over a circular cylinder at Reynolds number between 1000 and 5000 by flow visualization and aerodynamic measurements,” Journal of Fluid Mechanics, Vol. 893, A13, pp. 1-28 (2020).
  51. Nagata, T., Kasai, M., Okudera, T., Sato, H., Nonomura, T., and Asai, K., “Optimum pressure range evaluation toward aerodynamic measurements using PSP in low-pressure conditions,” Measurement Science and Technology, Vol. 31, 085303, pp. 1-11 (2020).
  52. Nagata, T., Hosaka, M., Takahashi, S., Fukuda, K., and Obayashi, S., “A simple collision algorithm for arbitrarily-shaped objects in particle-resolved flow simulation using an immersed boundary method,” International Journal for Numerical Methods in Fluids, Vol. 92, pp. 1256-1273 (2020).
  53. Nagata, T., Noguchi, A., Nonomura, T., Ohtani, K., and Asai, K., “Experimental investigation of transonic and supersonic flow over a sphere for Reynolds number of 103-105 by free-flight tests with schlieren visualization,” Shock Waves, Vol. 30, No. 2, pp. 139-151 (2020).
  54. Nagata, T., Nonomura, T., Takahashi, S., Mizuno, Y., and Fukuda, K., “Direct numerical simulation of flow past a transversely rotating sphere up to a Reynolds number of 300 in compressible flow,” Journal of Fluid Mechanics, Vol. 857, pp. 878-906 (2018).
  55. Nagata, T., Nonomura, T., Takahashi, S., Mizuno, Y., and Fukuda, K., “Direct numerical simulation of flow around a heated/cooled isolated sphere up to a Reynolds number of 300 under subsonic to supersonic conditions,” International Journal of Heat and Mass Transfer, Vol. 120, pp. 284-299 (2018).
  56. Hosaka, M., Nagata, T., Takahashi, S., and Fukuda, K., “Numerical simulation on solid-liquid multiphase flow including complex-shaped objects with collision and adhesion effects using immersed boundary method,” International Journal of Computational Methods and Experimental Measurements, Vol. 6, No. 1, pp. 162-175 (2018).
  57. Nagata, T., Nonomura, T., Takahashi, S., Mizuno, Y., and Fukuda, K., “Investigation on subsonic to supersonic flow around a sphere at low Reynolds number of between 50 and 300 by direct numerical simulation,” Physics of Fluids, Vol. 28, No. 5, 056101, pp. 1-20 (2016).
  58. Mizuno, Y., Takahashi, S., Nonomura, T., Nagata, T., and Fukuda, K., “A simple immersed boundary method for compressible flow simulation around a stationary and moving sphere,” Mathematical Problems in Engineering, Vol. 2015, 438086, pp. 1-17 (2015).

国際会議における発表 (筆頭)

  1. Nagata, T., “Recent research activities of compressible low Reynolds number aerodynamics around an airfoil in a Mars wind tunnel,” 2025 AIAA Science and Technology Forum and Exposition,  Orland, USA, January 2025 (invited).
  2. Nagata, T. and Nonomura, T., "Investigation of compressibility effects on vortical structures over a flat plate by large-eddy simulations," 10th International Symposium on Turbulence, Heat and Mass Transfer, Rome, Italy, September 2023.
  3. Nagata et al., “Investigation of Mach number and relative position effects on aerodynamic interference between two particles by direct numerical simulation,” 75th Annual Meeting of the Division of Fluid Dynamics, Indianapolis, USA, November 2022.
  4. Nagata, T. and Nonomura, T., “Implicit large-eddy simulation of subsonic compressible low Reynolds number flow over a flat plate at Re= 20,000,” 75th Annual Meeting of the Division of Fluid Dynamics, Indianapolis, USA, November 2022.
  5. Nagata et al., “Data-driven sparse sensor placement based on A-optimal design of experiment with ADMM,” IEEE SENSORS 2022, Texas, USA, October 2022 (invited).
  6. Nagata et al., “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, Virtual, October 2021.
  7. Nagata et al., “Data-driven sensor selection method using ADMM for a large-scale problem,” Annual Meeting of the APS Division of Fluid Dynamics 2020, K09: 15, Virtual, November 2020.
  8. Nagata et al., “Towards application of data-driven sparse sensor placement technique developed in fluid mechanics to seismology,” JpGU-AGU Joint Meeting 2020, S-TT52, iPoster, July 2020.
  9. Nagata et al., “Direct numerical simulation of supersonic flow over a counter-rotating vane-type vortex generator implemented on slip wall,” ASME-JSME-KSME Joint Fluids Engineering Conference 2019, AJKFLUIDS2019-5312, California, USA, July 2019.
  10. Nagata et al., “Schlieren visualization of transonic and supersonic flow over a sphere at Reynolds number between 103 and 105 through free-flight tests,” 2019 AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, AIAA 2019-2156,  California, USA, January 2019.
  11. Nagata et al., “Direct numerical simulation of flow past a sphere at a Reynolds number between 500 and 1000 in compressible flows,” 2018 AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, AIAA 2018-0381,  Florida, USA, January 2018.
  12. Nagata et al., “Investigation on wake vortex structure of a heated/cooled rotating particle in compressible flows by direct numerical simulation,” 7th International Conference on Vortex Flows and Vortex Models, Rostock, Germany, September 2016.
  13. Nagata et al., “Direct numerical simulation of flow around a rotating sphere at high Mach and low Reynolds numbers condition for supersonic gas-particle flow analysis,” International Conference on Multiphase Flow 2016, Firenze, Italy, May 2016.
  14. Nagata et al., “Analysis of the temperature ratio effect on the flow properties of the low Reynolds and high Mach number flow around a sphere,” 54th AIAA Aerospace Science Meeting, 2016-1251, California, USA, January 2016.
  15. Nagata et al., “Analysis on flow around a sphere under isothermal condition at high Mach and low Reynolds number flows,” Malaysia-Japan Joint International Conference 2015, 1570216098, Yamaguchi, Japan, November 2015.
  16. Nagata et al., “Analysis on flow around a sphere at high Mach number, low Reynolds number and adiabatic condition for high accuracy analysis of gas particle flows,” VI International Conference on Coupled Problems in Science and Engineering Coupled problems 2015, MoA08-3, Venice, Italy, May 2015.

国内学会における発表 (筆頭)

  1. 永田貴之，他「固有直交分解ベースの低次元モデルを用いた埋め込み境界法による準粒子解像計算に向けた検討」，第38回数値流体力学シンポジウム，東京，2024年12月
  2. 永田貴之，他「効率的な気象場への介入に向けたアクチュエータ位置最適化フレームワークの検討-WRFPLUSと乱択特異ベクトル法による感度解析-」，日本流体力学会 年会2024，宮城，2024年9月
  3. 永田貴之，他「低密度風洞を用いたレイノルズ数100-1000の円柱周り圧縮性流れの可視化計測」，第55期日本航空宇宙学会年会講演会，東京，2024年3月．
  4. 永田貴之，他「大規模自由度場の効率的な制御に向けた乱択特異ベクトル法に基づくアクチュエータ位置最適化」，日本流体力学会 年会2023，東京，2023年9月．
  5. 永田貴之，他「強相関ノイズを含む高次元データに適用可能な近接分離最適化に基づくデータ駆動型センサー最適化手法」，第22回情報科学技術フォーラム，大阪，2023年9月（招待講演）．
  6. 永田貴之，他「モード分解によるデノイズ技術を援用したレイノルズ数 O(10^2)の圧縮性円柱周り流れの可視化計測」，第51回可視化情報シンポジウム，北海道，2023年8月．
  7. 永田貴之，他「複素スペクトル行列の固有値分解に基づく偏波解析と低SN比イベント検出への適用」，日本地球惑星科学連合2023年大会，千葉，2023年5月．
  8. 永田貴之，他「データ駆動型低次元モデルを用いた圧縮センシングの地震波動場再構成への適用」，日本地震学会 2022年度秋季大会，北海道，2022年10月．
  9. 永田貴之，他「レイノルズ数O(10^3)の正方角柱周り流れにおける臨界マッハ数について」， 流体力学会 年会2022，京都，2022年9月．
  10. 永田貴之，野々村拓「圧縮性低レイノルズ数流れにおける平板上の層流剥離泡および乱流遷移に対するマッハ数効果の数値的研究」， 第54回流体力学講演会／第40回航空宇宙数値シミュレーション技術シンポジウム，岩手，2022年6月．
  11. 永田貴之，他「データ駆動型低次元モデルとスパース観測による地震波動場再構成手法の提案」， 日本地球惑星科学連合2022年大会，オンライン，2022年5月．
  12. 永田貴之，他「直接数値シミュレーションによる二粒子間の流体力学的干渉に対するマッハ数効果および粒子の相対位置効果の解析」， 2021年度衝撃波シンポジウム，オンライン，2022年3月．
  13. 永田貴之，他「並列に固定された2粒子間の流体力学的干渉に対する圧縮性効果の評価」， 第35回数値流体力学シンポジウム，オンライン，2021年12月．
  14. 永田貴之，他「レイノルズ数O(103)の角柱周り流れに対する圧縮性の効果」， 日本流体力学会 年会2021，オンライン，2021年9月．
  15. 永田貴之，他「スペクトル行列解析を用いた低SNR地震動検出手法の時間遅延座標による拡張」， 2021年度統計関連学会連合大会，オンライン，2021年9月 (招待講演)．
  16. 永田貴之，他「スパース観測による地震波動場再構成に向けたセンサー選択（第二報：データ駆動型低次元モデルに基づく手法法に関する初期検討）」， 日本地球惑星科学連合2021年大会，オンライン，2021年6月．
  17. 永田貴之，「多様性を確保した貪欲法によるセンサー選択」， AIRM-IFS-ISM合同ワークショップ2021，オンライン，2021年4月 （招待講演）．
  18. 永田貴之，野々村拓，「亜音速から超音速における一様剪断流中の球周り流れに対する圧縮性効果の調査 (Re ≤ 300)」， 日本流体力学会年会2019，東京，2019年9月．
  19. 永田貴之，他，「Reynolds数300-1000の遷音速微粒子周りの流れ場と抵抗係数に対するMach数・Reynolds数効果の考察」， 第51回流体力学講演会/第37回航空宇宙数値シミュレーション技術シンポジウム，東京，7月，2019年．
  20. 永田貴之，他，「自由落下する小球と垂直衝撃波の干渉のシュリーレン可視化および球の抵抗係数の推定」，平成30年度衝撃波シンポジウム，神奈川，2019年3月．
  21. 永田貴之，他，「直接数値解析データベースを用いた粒子Reynolds数50–1000の圧縮性流れにおける微小粒子の空力係数および後流渦の解析」，第32回数値流体力学シンポジウム，東京，2018年12月．
  22. 永田貴之，他，「バリスティックレンジによるReynolds数103-104オーダーの超音速球周り流れのシュリーレン可視化」，日本流体力学会年会2018，大阪，2018年9月．
  23. 永田貴之，他，「バリスティックレンジによるレイノルズ数104オーダーの遷・超音速球周り流れのシュリーレン可視化」，平成28年度衝撃波シンポジウム，宮城，2018年3月．
  24. 永田貴之， 他，「圧縮性球周り流れのDNS (500 ≤ Re ≤ 1000)」，第31回数値流体力学シンポジウム，京都，2017年12月．
  25. 永田貴之 ，他，「高マッハ数･低レイノルズ数･等温条件下における回転する球周り流れの直接数値解析」， 第29回数値流体力学シンポジウム，福岡，2015年12月．
  26. 永田貴之，他，「DNSに基づく低Reynolds数流れにおける球の後流の渦構造に対するMach数･温度比の影響把握」，日本機械学会第93期流体工学部門講演会，東京，2015年11月．
  27. 永田貴之，他，「DNSによる高Mach数･低Reynolds数の球周りの流れ場に対するMach数や温度比の影響把握」， 第47回流体力学講演会/第33回航空宇宙数値シミュレーション技術シンポジウム，東京，2015年7月．
  28. 永田貴之，他，「高Mach数・低Reynolds数・等温条件下における衝撃波を含む球周りの直接数値解析(Re=300)」，平成26年度衝撃波シンポジウム，群馬，2015年3月．
  29. 永田貴之，他，「高マッハ数・低レイノルズ数・断熱条件下における球周り流れ解析」， 第28回数値流体力学シンポジウム，東京，2014年12月．
  30. 永田貴之，他，「インフレータブルチューブで構成したウィングを有する飛行機の試作と飛行実証」， 第29回宇宙構造・材料シンポジウム，神奈川，2013年12月．