Tatsuya HayashiAssociate Professor
■Researcher basic information
Organization
Educational Background
- Apr. 2014 - Mar. 2017, The University of Tokyo, Graduate School of Mathematical Sciences, 博士課程
- Apr. 2011 - Mar. 2014, Aoyama Gakuin University, Graduate School of Science and Engineering, Department of Science and Engineering
- Apr. 2007 - Mar. 2011, Aoyama Gakuin University, College of Science and Engineering, Department of Physics and Mathematics
Career
- Apr. 2026 - Present, Ibaraki University, 学術研究院基礎自然科学野, Associate Professor
- Apr. 2019 - Present, The University of Tokyo, 農学部, Part-time Lecturer
- Apr. 2023 - Mar. 2026, Chuo University, Research and Development Initiative, Visiting Researcher (Institute Associate Professor)
- Apr. 2023 - Mar. 2026, Yamato University, Faculty of Science and Engineering, 講師
- Sep. 2022 - Mar. 2023, Chuo University, Faculty of Science and Engineering Department of Integrated Science and Engineering for Sustainable Society Bachelor of Engineering, Technical staff
- Jul. 2022 - Sep. 2022, University of Toyama, 学術研究部理学系, Specially Appointed Assistant Professor
- Aug. 2021 - Jun. 2022, Hokkaido University, Graduate School of Information Science and Technology, Specially Appointed Assistant Professor
- Apr. 2019 - Jul. 2021, Hokkaido University, Graduate School of Information Science and Technology, Postdoctoral Fellow
- Oct. 2018 - Mar. 2019, Tokyo University of Agriculture and Technology, Faculty of Agriculture, Part-time Lecturer
- Apr. 2017 - Mar. 2019, Hitotsubashi University, Mori Arinori Center for Higher Education and Global Mobility, Part-time Lecturer
- Apr. 2017 - Mar. 2019, The University of Tokyo, Graduate School of Mathematical Sciences, Postdoctoral Fellow
- Apr. 2017 - Mar. 2018, Aoyama Gakuin University, School of Social Informatics, Research Associate (part-time)
- Apr. 2014 - Mar. 2017, Aoyama Gakuin University, College of Science and Engineering Department of Physics and Mathematics, Research Associate (part-time)
■Research activity information
Award
Paper
- Extending effective multiplicity for independent designs in multichannel fNIRS studies
Yuki Yamamoto; Wakana Kawai; Tatsuya Hayashi; Yuki Ishikawa; Minako Uga; Ippeita Dan, SignificanceRecent advancements in multichannel functional near-infrared spectroscopy have led to an expansion in the number of measurement channels. This increase in multiplicity necessitates appropriate multiple-comparison correction. The effective multiplicity (Meff) method has been introduced to control family-wise error rate while accounting for correlation between channels. However, the application of this method has been limited to a one-sample design, and its performance has only been compared with Bonferroni correction.AimWe aimed to evaluate the applicability of the Meff method to independent designs in channel-wise analysis and to compare its performance with other conventional multiple-comparison correction methods.ApproachUsing simulated datasets, we conducted resampling simulations to examine the relationship between the number of channels and Meff values and between the number of channels and the number of significant channels for each correction method. In addition, we performed exploratory analyses using actual experimental datasets with 44-channel measurements from ∼60 participants, which had been analyzed within regions of interest in previous studies.ResultsIn resampling simulations, as the number of channels increased, Meff values converged at around 25 for the 44-channel datasets, and the number of significant channels remained relatively constant regardless of the number of total channels, in contrast to other correction methods. In the exploratory analyses on actual experimental datasets, channels identified as significant were similar to the regions of interest defined in the previous studies.ConclusionsWe demonstrated that, in channel-wise analysis, when the total number of participants exceeds the number of channels, the Meff approach is effective for balancing type I and II errors in independent designs and that it is applicable to both exploratory and confirmatory analyses., SPIE-Intl Soc Optical Eng
Neurophotonics, 12 Aug. 2026, [Reviewed] - Segment-Anything-based AOI Analysis for Eye-tracking: A Gaze Judgment Method Considering the Visual Angle
Koki AMANO; Otoha YAMANAKA; Wakana KAWAI; Tatsuya HAYASHI; Nobuo KOCHI; Ippeita DAN, Japan Society of Kansei Engineering
International Journal of Affective Engineering, Jul. 2026, [Reviewed] - Impact of myosin heavy chain proteolysis on the sol-gel transition during the setting process in surimi from the deep-sea bonefish Pterothrissus gissu
Yuga Okamoto; Tatsuya Hayashi; Ryoko Nakamizo; Yuri Kominami; Yoko Matsuoka; Nobuhiko Ueki; Jianrong Wan; Shugo Watabe; Hideki Ushio, Lead, Elsevier BV
LWT, Jun. 2026, [Reviewed] - Threshold optimization in separating cortical and extracerebral hemodynamics using principal component analysis
Wakana Kawai; Kazuki Hyodo; Yuki Yamamoto; Tatsuya Hayashi; Daisuke Yamaguchi; Aiko Ueno; Simone Cutini; Ippeita Dan, Introduction
When trying to differentiate between hemodynamic cortical and extracerebral signals identified by devices used to detect cortical activity, statistical methods such as principal component analysis (PCA) are commonly employed as alternative approaches to using short separation measurements to reduce the influence of extracerebral hemodynamics. PCA requires a threshold value to separate cortical and extracerebral signals; however, existing methods often rely on fixed thresholds that fail to account for inter-individual variability and differences in experimental design, potentially leading to over- or under-correction. Rather than introducing a novel extracerebral hemodynamics removal method, the present study aims to optimize the use of existing methodologies. Specifically, we proposed a method to optimize the threshold that differentiates cortical from extracerebral hemodynamics in PCA-based analyses.
Methods
Each of the four analyses were applied to a dataset obtained from older participants performing a verbal n-back task: (1) no correction (NC), (2) short separation regression (SSR), (3) PCA with our proposed threshold optimization (PCA opt ), and (4) PCA with the individual maximum as threshold (PCA max ). Bayesian t -tests were then conducted to evaluate the equivalence between SSR and PCA opt .
Results
NC displayed the strongest cortical activation, PCA max the weakest. SSR and PCA opt produced intermediate results, and Bayesian t-tests revealed that the BF 01 values for most of the channels were greater than 3.0, whereas no channels exhibited corresponding BF 10 values exceeding 3.0.
Discussion
Optimizing the threshold for separating cortical and extracerebral hemodynamics is a practical and effective strategy when using PCA as an alternative to short-separation measurements. This approach enables appropriate correction even in the absence of short-separation channels., Frontiers Media SA
Frontiers in Human Neuroscience, 22 Apr. 2026, [Reviewed] - Protein structural and textural characteristics of sous-vide cooked rainbow trout (Oncorhynchus mykiss) meat
Miyu Sakuyama; Yuri Kominami; Tatsuya Hayashi; Hideki Ushio, Elsevier BV
International Journal of Gastronomy and Food Science, Dec. 2025, [Reviewed] - A Particle-Based Model of Endothelial Cell Dynamics in the Extracellular Matrix
Kazuma Sakai; Tatsuya Hayashi; Jun Mada; Tetsuji Tokihiro, Branching structures such as vascular networks are representative morphological patterns in living systems, and they often arise from collective cell migration. Angiogenesis, the sprouting of new blood vessels from pre-existing ones, is a fundamental process in development. Experimental and theoretical studies have demonstrated that sprout formation depends on the collective movements and shapes of endothelial cells, as well as the remodelling of the extracellular matrix. Many discrete models have been proposed to describe cell dynamics, successfully reproducing vascular patterns and collective behaviours. In this study, we present a two-dimensional mathematical model that represents each endothelial cell as an ellipse and incorporates the effects of the extracellular matrix. We performed computer simulations under two scenarios: invasion from a pre-formed sprout and collective advancement into an extracellular matrix region. The results show that the extracellular matrix helps maintain linear sprout extension and suppresses the formation of dispersed or curved branches, while elongated cell shapes promote sprouting more effectively than round cells. The model also reproduces experimentally observed behaviours such as tip-cell replacement and the mixing of cells within sprouts. These findings highlight the importance of integrating cell shape and extracellular matrix remodelling to understand early blood vessel formation., MDPI AG
Complexities, 11 Nov. 2025, [Reviewed] - A Mathematical Model of Myosin Heavy Chain Dynamics in the Disintegration of Golden Threadfin Bream Nemipterus virgatus Surimi Gel
Ryoko Nakamizo; Tatsuya Hayashi; Yuri Kominami; Hideki Ushio, Lead, Surimi gel, a type of hydrocolloidal food, is formed through the gelation of fish meat proteins. Myosin heavy chain (MHC), a key myofibrillar protein, plays a crucial role in the formation of the gel network via both transglutaminase (TGase)-catalyzed and non-enzymatic polymerization. Gel disintegration in surimi is primarily attributed to the proteolytic degradation of MHC. This study focused on golden threadfin bream Nemipterus virgatus, a species characterized by low TGase activity and high protease activity at elevated temperatures. We investigated the competition between non-enzymatic polymerization and proteolytic degradation of MHC and their effects on gel mechanical properties using a mathematical model. A mathematical model based on kinetic reactions accurately reflected the changes in MHC observed through SDS-PAGE analysis during N. virgatus gel disintegration. Our results indicate that not only unpolymerized but also polymerized MHC was significantly degraded, which substantially contributed to the reduction in the mechanical properties of the N. virgatus surimi. Mathematically understanding the dynamics of MHC in surimi during heating helps promote the utilization of noncommercial fish species for surimi processing by enabling better control over surimi gel properties., MDPI AG
Gels, 08 May 2025, [Reviewed] - Stochastic Phase Model with Reflective Boundary and Induced Beating: An Approach for Cardiac Muscle Cells
Guanyu Zhou; Tatsuya Hayashi; Tetsuji Tokihiro, We examine stochastic phase models for the community effect of cardiac muscle cells. Our model extends the stochastic integrate-and-fire model by incorporating irreversibility after beating, induced beating, and refractoriness. We focus on investigating the expectation and variance in the synchronized beating interval. Specifically, for a single isolated cell, we obtain the closed-form expectation and variance in the beating interval, discovering that the coefficient of variation has an upper limit of 2/3. For two coupled cells, we derive the partial differential equations for the expected synchronized beating intervals and the distribution density of phases. Furthermore, we consider the conventional Kuramoto model for both two- and N-cell models. We establish a new analysis using stochastic calculus to obtain the coefficient of variation in the synchronized beating interval, thereby improving upon existing literature., MDPI AG
Mathematics, 24 Sep. 2024, [Reviewed] - Adjusting effective multiplicity (Meff) for family-wise error rate in functional near-infrared spectroscopy data with a small sample size
Yuki Yamamoto; Wakana Kawai; Tatsuya Hayashi; Minako Uga; Yasushi Kyutoku; Ippeita Dan, SPIE-Intl Soc Optical Eng
Neurophotonics, 27 Jul. 2024, [Reviewed] - Gaussian process classification bandits
Tatsuya Hayashi; Naoki Ito; Koji Tabata; Atsuyoshi Nakamura; Katsumasa Fujita; Yoshinori Harada; Tamiki Komatsuzaki, Lead, Elsevier BV
Pattern Recognition, May 2024, [Reviewed] - A three-dimensional model with two-body interactions for endothelial cells in angiogenesis
Kazuma Sakai; Tatsuya Hayashi; Jun Mada; Kazuo Tonami; Hiroki Kurihara; Tetsuji Tokihiro, Corresponding
Scientific Reports, Nov. 2023, [Reviewed] - Coordinated Linear and Rotational Movements of Endothelial Cells Compartmentalized by VE-cadherin Drive Angiogenic Sprouting
Kazuo Tonami; Tatsuya Hayashi; Yasunobu Uchijima; Masahiro Kanai; Fumitaka Yura; Jun Mada; Kei Sugahara; Yukiko Kurihara; Yuri Kominami; Toshiyuki Ushijima; Naoko Takubo; Xiaoxiao Liu; Hideto Tozawa; Yoshimitsu Kanai; Tetsuji Tokihiro; Hiroki Kurihara, Elsevier BV
iScience, Jun. 2023, [Reviewed] - Pattern formation of elliptic particles by two-body interactions: A model for dynamics of endothelial cells in angiogenesis
Tatsuya Hayashi; Fumitaka Yura; Jun Mada; Hiroki Kurihara; Tetsuji Tokihiro, Lead, Elsevier BV
Journal of Theoretical Biology, Oct. 2022, [Reviewed] - Efficient alignment-based average delay time estimation in fluctuating delayed propagation
Atsuyoshi Nakamura; Tatsuya Hayashi, Elsevier BV
Array, Jul. 2022, [Reviewed] - Propagation graph estimation from individuals’ time series of observed states
Tatsuya Hayashi; Atsuyoshi Nakamura, Lead, Abstract
Various things propagate through the medium of individuals. Some individuals follow the others and take the states similar to their states a small number of time steps later. In this paper, we study the problem of estimating the state propagation order of individuals from the real-valued state sequences of all the individuals.We propose a method of constructing a state propagation graph from individuals’ time series of observed states. The propagation order estimated by our proposed method is demonstrated to be significantly more accurate than that by a baseline method (optimal constant delay model) for our synthetic datasets, and also to be consistent with visually recognizable propagation orders for the dataset of Japanese stock price time series and biological cell firing state sequences., Springer Science and Business Media LLC
Scientific Reports, Apr. 2022, [Reviewed] - Peptidomic analysis characterising proteolysis in thaw-aging of beef short plate
Yuri Kominami; Tatsuya Hayashi; Tetsuji Tokihiro; Hideki Ushio, Elsevier BV
Food Chemistry: Molecular Sciences, Nov. 2021, [Reviewed] - Mathematical Modeling for Angiogenesis
Tatsuya Hayashi
Methods of Mathematical Oncology, Aug. 2021, [Reviewed] - A Novel Analysis of the Peptide Terminome Characterizes Dynamics of Proteolytic Regulation in Vertebrate Skeletal Muscle Under Severe Stress.
Yuri Kominami; Tatsuya Hayashi; Tetsuji Tokihiro; Hideki Ushio, In healthy cells, proteolysis is orderly executed to maintain basal homeostasis and normal physiology. Dyscontrol in proteolysis under severe stress condition induces cell death, but the dynamics of proteolytic regulation towards the critical phase remain unclear. Teleosts have been suggested an alternative model for the study of proteolysis under severe stress. In this study, horse mackerel (Trachurus
japonicus) was used and exacerbated under severe stress conditions due to air exposure. Although the complete genome for T. japonicus is not available, a transcriptomic analysis was performed to construct a reference protein database, and the expression of 72 proteases were confirmed. Quantitative peptidomic analysis revealed that proteins related to glycolysis and muscle contraction systems were highly cleaved into peptides immediately under the severe stress. Novel analysis of the peptide terminome using a multiple linear regression model demonstrated profiles of proteolysis under severe stress. The results indicated a phase transition towards dyscontrol in proteolysis in T. japonicus skeletal muscle during air exposure. Our novel approach will aid in investigating the dynamics of proteolytic regulation in skeletal muscle of non-model vertebrates.
Proteomes, 13 Feb. 2019, [Reviewed] - Integrate and fire model with refractory period for synchronization of two cardiomyocytes.
Tatsuya Hayashi; Tetsuji Tokihiro; Hiroki Kurihara; Fumimasa Nomura; Kenji Yasuda, Lead, We investigate an integrate and fire model for two cardiomyocytes interacting with each other. A feature of the model is to incorporate the refractory periods of the cardiomyocytes as well as the influence of firing of adjacent cells. The present model predicts that, if refractory periods of the two cells are nearly equal, the beating rhythms of the two cells always synchronize and their beating rate is tuned to the faster rate between the two cells. On the other hand, if their refractory periods significantly differ, they exhibit various kinds of harmonious beating rhythms. These results successfully explain the well known characteristics of synchronized beating of cultured cardiomyocytes. We also discuss effects of a delay time of cell-to-cell interaction, that gives further complicated phase diagrams for the beating rhythms.
Journal of theoretical biology, 21 Jan. 2018, [Reviewed] - Community effect of cardiomyocytes in beating rhythms is determined by stable cells
Tatsuya Hayashi; Tetsuji Tokihiro; Hiroki Kurihara; Kenji Yasuda, Lead
SCIENTIFIC REPORTS, Nov. 2017, [Reviewed]
MISC
- サンプルサイズが小さいfNIRSデータにおける多重比較補正のための実行多重度(Meff)の予測
山本裕希; 川井和奏; 林達也; 久徳康史; 檀一平太
日本生体医工学会大会プログラム・抄録集(Web), 2024 - 血管内皮細胞の動態モデルの3次元への拡張について
酒井一馬; 林達也; 時弘哲治; 礪波一夫; 栗原裕基
津田塾大学数学・計算機科学研究所報, Mar. 2021 - Analysis of FAT1 of Endothelial cell in angiogenic morphogenesis
劉瀟瀟; 礪波一夫; 林達也; 内島泰信; 栗原裕基
高血圧関連疾患モデル学会学術総会抄録集, 2021 - Estimation of Propagation Graph by Pairwise Alignment of Time Series Data
林達也; 中村篤祥
人工知能学会人工知能基本問題研究会資料, 2020 - 血管新生における内皮細胞のパターン形成機構の解明
礪波一夫; 林達也; 金井政宏; 由良文孝; 間田潤; 須賀原啓; 劉瀟瀟; 内島泰信; 時弘哲治; 栗原裕基
日本分子生物学会年会プログラム・要旨集(Web), 2019 - 血管新生の基盤となる血管内皮細胞に特有な細胞間相互作用の同定とその制御機構の解析
礪波一夫; 林達也; 金井政宏; 由良文孝; 間田潤; 劉瀟瀟; 須賀原啓; 内島泰信; 時弘哲治; 栗原裕基
日本心血管内分泌代謝学会学術総会プログラム及び抄録集, 2019
Books and other publications
Lectures, oral presentations, etc.
- 蛍光標識を用いた透明化かまぼこの構造解析
岡本悠雅; 小南友里; 林達也; 井ノ口繭; 潮秀樹
日本食品工学会第27回（2026年度）年次大会, 31 Aug. 2026 - Jordan標準形に関する教育的問題の自動生成アルゴリズム
妹尾駿; 脇広大; 間瀬崇史; 林達也
数学ソフトウェアとその効果的教育利用に関する研究, 27 Aug. 2026 - An algorithm for generating educational problems in linear algebra: the case of the Jordan canonical form
Hayato Senoo; Kodai Waki; Takafumi Mase; Tatsuya Hayashi
From Nonlinear Waves to Integrable Systems 2025, 31 Oct. 2025
20251030, 20251101 - Mathematical model of the dynamics of endothelial cells in extracellular matrix
Tatsuya Hayashi
The 1st Symposium on Mathematical and Life Sciences, 15 Oct. 2025 - Mass transfer during dehydration of flounder fillet with dried kelp
Yuri Kominami; Kaito Takase; Tatsuya Hayashi; Hideki Ushio; Aberham Hailu Feyissa
The 51st Western European Fish Technologists Association, 19 Oct. 2023 - Mathematical model for dynamics of endothelial cells in sprouting angiogenesis
Tatsuya Hayashi
10th International Congress on Industrial and Applied Mathematics, 24 Aug. 2023 - The effects of chronic calorie restriction on the life span of the rotifer Brachionus plicatilis
Tatsuya Hayashi; Yuri Kominami; Gen Kaneko; Hideki Ushio; Ayano Takeuchi
2023 Joint Statistical Meetings, 08 Aug. 2023 - 内皮細胞の運動パターンに基づく新しい血管形成機構の解明
礪波 一夫; 林 達也; 由良 文孝; 劉 瀟瀟; 内島 泰信; 時弘 哲治; 栗原 裕基
第45回 日本分子生物学会年会
20221130, 20221202 - 血管新生のモジュールとなる血管内皮細胞固有の細胞動態の同定
礪波 一夫; 林 達也; 由良 文孝; 劉 瀟瀟; 内島 泰信; 時弘 哲治; 栗原 裕基
第26回 日本心血管内分泌代謝学会学術総会, 12 Oct. 2022 - Gaussian process classification bandits
Tatsuya Hayashi; Naoki Ito; Koji Tabata; Atsuyoshi Nakamura; Yoshinori Harada; Katsumasa Fujita; Tamiki Komatsuzaki
Hokkaido-Kyushu mini workshop on online prediction, Mar. 2022 - Alignment-based approach to identifying the leader in models with variable time delays
Tatsuya Hayashi; Sulimon Sattari; Udoy Basak; Hossain M Motaleb; Atsuyoshi Nakamura; Tamiki Komatsuzaki
新学術領域「シンギュラリティ生物学」第6回領域会議, Jan. 2022 - Gaussian Process Classification Bandits
Tatsuya Hayashi; Naoki Ito; Koji Tabata; Atsuyoshi Nakamura; Yoshinori Harada; Katsumasa Fujita; Tamiki Komatsuzaki
Hokkaido University-Dalian University of Technology Workshop for Big data and AI, Dec. 2021 - 連続腕分類バンディット問題の解法アルゴリズム
林達也; 伊藤直輝; 中村篤祥; 田畑公次; 原田義規; 藤田克昌; 小松崎民樹
計測インフォマティクス研究会（人工知能学会第２種研究会）, Nov. 2021 - 連続腕分類バンディット問題の解法アルゴリズムの研究
伊藤直輝; 林達也; 中村篤祥
新学術領域「シンギュラリティ生物学」第5回領域会議, May 2021 - 時系列データのアライメントを用いた伝播のグラフの推定
林達也; 中村篤祥
新学術領域「シンギュラリティ生物学」第4回領域会議, Mar. 2021 - 血管新生の数理モデル-３次元への拡張-
酒井一馬; 林達也; 間田潤; 時弘哲治; 礪波一夫; 栗原裕基
日本応用数理学会2021年研究部会連合発表会, Mar. 2021 - 血管新生における血管内皮細胞動態の数理モデル
林達也
2020年度武蔵野大学 数理工学シンポジウム, Oct. 2020, [Invited] - Mathematical modeling for endothelial cell migration during sprouting angiogenesis
Tatsuya Hayashi; Fumitaka Yura; Yuri Kominami; Jun Mada; Tetsuji Tokihiro; Kazuo Tonami; Hiroki Kurihara
The 20th International Conference on System Biology, Nov. 2019 - 母娘間情報伝達を考慮したシオミズツボワムシ（石川株）の個体群動態モデル
林達也
異文化・異業種交流会2019, Oct. 2019 - 魚肉加熱ゲル形成不良におけるミオシン重鎖動態の基礎モデル
小南友里; 中溝量子; 林達也; 中谷操子; 岡田茂; 松岡祥子; 植木暢彦; 万建栄; 渡部終五; 潮秀樹
日本食品工学会, Aug. 2019 - 血管内皮細胞の動態に関する数理モデル：VE-カドヘリンに着目した２細胞系モデル
林達也; 由良文孝; 間田潤; 小南友里; 時弘哲治; 礪波一夫; 栗原裕基
CREST「生命動態の理解と制御のための基盤技術の創出」研究領域 第12回数理デザイン道場, Aug. 2019 - 血管新生における血管内皮細胞の動態に関する数理モデル
林達也
研究集会「細胞動態の原理とその数理」, Mar. 2019 - イトヨリダイ肉加熱ゲルの火戻りについて
中溝量子; 小南友里; 林達也; 穂坂秀昭; 中谷操子; 松岡祥子; 植木暢彦; 万建栄; 渡部終五; 潮秀樹
日本水産学会, Sep. 2018 - ギス肉の加熱ゲル形成と戻りについてV
中溝量子; 小南友里; 林達也; 穂坂秀昭; 中谷操子; 岡田茂; 松岡祥子; 植木暢彦; 万建栄; 渡部終五; 潮秀樹
日本水産学会, Sep. 2018 - Mathematical modeling for synchronization of cardiomyocytes
林達也; 時弘哲治; 栗原裕基; 安田賢二
2017年度生命科学系学会合同年次会, Dec. 2017 - Dynamics of proteolysis regulation in teleost skeletal muscle: a multiple linear regression analysis using quantitative peptidome
Yuri Kominami; Tatsuya Hayashi; Tetsuji Tokihiro; Hideki Ushio
Fisheries Science for the Future Generations, Sep. 2017 - Analysis of the community effect of cardiomyocytes by mathematical modeling
Tatsuya Hayashi
第94回日本生理学会大会 日本生物物理学会連携シンポジウム 生物物理学的手法による生理学研究の新発展, Mar. 2017, [Invited] - Community effect of cardiomyocytes in beating rhythms is ruled by stable cells
林達也; 時弘哲治; 栗原裕基; 安田賢二
第54回日本生物物理学会年会, Nov. 2016 - 心筋細胞の同期現象に関する不応期を持つ積分発火モデル
林達也; 時弘哲治; 栗原裕基; 野村典正; 安田賢二
MIMS共同研究集会「可積分系が拓く現象数理モデル」, Nov. 2015 - ２個の心筋細胞の同期現象に関する不応期を持つ積分発火モデル
林達也; 時弘哲治; 栗原裕基; 野村典正; 安田賢二
日本応用数理学会2015年度年会, Sep. 2015 - Integrate and fire model with refractory period for synchronization of two cardiomyocytes
Tatsuya Hayashi
Computational and Geometric Approaches for Nonlinear Phenomena, Aug. 2015 - 相互作用をもつ２個の心筋細胞の数理モデル
林達也; 時弘哲治; 栗原裕基; 野村典正; 安田賢二
CREST「生命動態の理解と制御のための基盤技術の創出」研究領域 第4回数理デザイン道場, Jun. 2015 - 心筋細胞の数理モデル
林達也; 時弘哲治; 栗原裕基; 野村典正; 安田賢二
日本応用数理学会2015年研究部会連合発表会, Mar. 2015
Courses
- Technology and Society
Apr. 2026 - Present
Ibaraki University - Information Literacy
Apr. 2026 - Present
Ibaraki University - Mathematical sciences in agriculture
Apr. 2017 - Present
The University of Tokyo - Linear Algebra II
Sep. 2024 - Mar. 2026
Yamato University - Mathematical programming
Apr. 2024 - Mar. 2026
Yamato University - Calculs I
Apr. 2024 - Mar. 2026
Yamato University - Linear Algebra I
Apr. 2024 - Mar. 2026
Yamato University - Calculus II
Sep. 2023 - Mar. 2026
Yamato University - Numerical Analysis
Sep. 2023 - Mar. 2026
Yamato University - Basic mathematics
Apr. 2023 - Mar. 2026
Yamato University - Mathematical statistics
Apr. 2023 - Mar. 2026
Yamato University - Multivariate Analysis
Apr. 2023 - Mar. 2026
Yamato University - Statistics and Probability
Apr. 2023 - Mar. 2026
Yamato University - Practicum in Science and Technology II
Apr. 2023 - Sep. 2024
Yamato University - Optimization Theory
Sep. 2023 - Mar. 2024
Yamato University - Exercises in Basic mathematics
Apr. 2023 - Mar. 2024
Yamato University - Mathematical models and statistics
Apr. 2023 - Mar. 2024
Yamato University - Mathematical statistics
Oct. 2018 - Mar. 2019
Tokyo University of Agriculture and Technology - Calculus II
Apr. 2017 - Mar. 2019
Hitotsubashi University - Calculus I
Apr. 2017 - Mar. 2019
Hitotsubashi University
Affiliated academic society
Research Themes
- かまぼこの歯応えに関する幾何学的解析
Oct. 2026 - Sep. 2027 - Effects of Pulsed Electric Field Pretreatment on Wet-Aging of Beef
Apr. 2025 - Mar. 2026 - webアンケートデータを用いた水産練り製品の消費動向の解析
女性研究者活躍支援研究-短期共同研究
Apr. 2023 - Aug. 2023 - The effect of outliers in biological synchronization phenomena
Grant-in-Aid for Research Activity Start-up
Apr. 2019 - Mar. 2020 - タンパク質分解におけるペプチド生成の非線形的挙動に関する基礎解析 モデルの構築
Jul. 2017 - Mar. 2018
