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ESCOLAR Gaw EmersonGraduate School of Human Development and Environment / Department of Human Environmental ScienceAssociate Professor
Researcher basic information
■ Research Keyword■ Research Areas
- Natural sciences / Applied mathematics and statistics
- Natural sciences / Basic mathematics
- Natural sciences / Algebra
- Informatics / Computational science
- Jan. 2023 - Present, Applied Algebraic Topology Research Network (AATRN), Speaker Selection Committee
- Apr. 2021 - Present, 日本応用数理学会 位相的データ解析研究部会, 幹事, https://sites.google.com/view/jsiam-tda
- Apr. 2021 - Present, 日本応用数理学会, JSIAM Letters Associate Editor
- Apr. 2024 - Mar. 2025, 日本応用数理学会, 代表会員
- 2024 - Mar. 2025, 日本応用数理学会 第21回 研究部会連合発表会 実行委員会, 実行委員
- 2022 - 2023, 10th International Congress on Industrial and Applied Mathematics (ICIAM 2023 Tokyo), Local Scientific Program Committee
- 2022 - 2023, Nonlinear Theory and Its Applications, IEICE, "Special Section on Topological Data Analysis". (April issue 2023) Associate editor
Research activity information
■ Award■ Paper
- Dec. 2024, International Journal of Gastronomy and Food ScienceScientific journal
- In persistent homology analysis, interval modules play a central role in describing the birth and death of topological features across a filtration. In this work, we extend this setting, and propose the use of bipath persistent homology, which can be used to study the persistence of topological features across a pair of filtrations connected at their ends, to compare the two filtrations. In this setting, interval-decomposability is guaranteed, and we provide an algorithm for computing persistence diagrams for bipath persistent homology and discuss the interpretation of bipath persistence diagrams.2024, Japan Journal of Industrial and Applied MathematicsScientific journal
- Where do firms innovate? Mapping their locations and directions in technological space is challenging due to its high dimensionality. We propose a new method to characterize firms' inventive activities via topological data analysis (TDA) that represents high-dimensional data in a shape graph. Applying this method to 333 major firms' patents in 1976-2005 reveals hitherto undocumented industry dynamics: some firms remain undifferentiated; others develop unique portfolios. Firms with unique trajectories, which we define and measure graph-theoretically as "flares"in the Mapper graph, tend to perform better. This association is statistically and economically significant, and continues to hold after we control for portfolio size, firm survivorship, and industry classification.ELSEVIER, Oct. 2023, RESEARCH POLICY, 52(8) (8), English[Refereed]Scientific journal
- In topological data analysis, two-parameter persistence can be studied using the representation theory of the 2d commutative grid, the tensor product of two Dynkin quivers of type A. In a previous work, we defined interval approximations using restrictions to essential vertices of intervals together with Mobius inversion. In this work, we consider homological approximations using interval resolutions, and show that the interval resolution global dimension is finite for finite posets, and that it is equal to the maximum of the interval dimensions of the Auslander-Reiten translates of the interval representations. Furthermore, in the commutative ladder case, by a suitable modification of our interval approximation, we provide a formula linking the two conceptions of approximation.Corresponding, ELSEVIER, Oct. 2023, JOURNAL OF PURE AND APPLIED ALGEBRA, 227(10) (10), English[Refereed]Scientific journal
- Corresponding, Sep. 2023, Journal of Computational Algebra, English[Refereed]Scientific journal
- Single-cell RNA sequencing (scRNA-seq) can determine gene expression in numerous individual cells simultaneously, promoting progress in the biomedical sciences. However, scRNA-seq data are high-dimensional with substantial technical noise, including dropouts. During analysis of scRNA-seq data, such noise engenders a statistical problem known as the curse of dimensionality (COD). Based on high-dimensional statistics, we herein formulate a noise reduction method, RECODE (resolution of the curse of dimensionality), for high-dimensional data with random sampling noise. We show that RECODE consistently resolves COD in relevant scRNA-seq data with unique molecular identifiers. RECODE does not involve dimension reduction and recovers expression values for all genes, including lowly expressed genes, realizing precise delineation of cell fate transitions and identification of rare cells with all gene information. Compared with representative imputation methods, RECODE employs different principles and exhibits superior overall performance in cell-clustering, expression value recovery, and single-cell–level analysis. The RECODE algorithm is parameter-free, data-driven, deterministic, and high-speed, and its applicability can be predicted based on the variance normalization performance. We propose RECODE as a powerful strategy for preprocessing noisy high-dimensional data.Life Science Alliance, LLC, Dec. 2022, Life Science Alliance, 5(12) (12), e202201591 - e202201591[Refereed]Scientific journal
- While persistent homology has taken strides towards becoming a widespread tool for data analysis, multidimensional persistence has proven more difficult to apply. One reason is the serious drawback of no longer having a concise and complete descriptor analo-gous to the persistence diagrams of the former. We propose a simple algebraic construction to illustrate the existence of infinite families of indecomposable persistence modules over reg-ular commutative grids of sufficient size. On top of providing a constructive proof that those commutative grids are representation-infinite, we also provide realizations of the modules by topological spaces and Vietoris-Rips filtrations, showing that they can actually appear in real data and are not the product of degeneracies.CARLETON UNIV, DEPT MATHEMATICS & STATISTICS, Sep. 2022, Journal of Computational Geometry, 13(1) (1), 298 - 326, English, International magazine[Refereed]Scientific journal
- Elsevier {BV}, Apr. 2022, Computational Geometry, 105-106, 101879 - 101879[Refereed]Scientific journal
- In order to better understand and to compare interleavings between persistence modules, we elaborate on the algebraic structure of interleavings in general settings. In particular, we provide a representation-theoretic framework for interleavings, showing that the category of interleavings under a fixed translation is isomorphic to the representation category of what we call a shoelace. Using our framework, we show that any two interleavings of the same pair of persistence modules are themselves interleaved. Furthermore, in the special case of persistence modules over R, we show that matchings between barcodes correspond to the interval-decomposable interleavings.Springer Science and Business Media LLC, Oct. 2021, Applicable Algebra in Engineering, Communication and Computing[Refereed]Scientific journal
- A recent work by Lesnick and Wright proposed a visualisation of $2$D2020, J. Appl. Comput. Topol., 4(3) (3), 387 - 424
persistence modules by using their restrictions onto lines, giving a family of
$1$D persistence modules. We give a constructive proof that any $1$D
persistence module with finite support can be found as a restriction of some
indecomposable $2$D persistence module with finite support. As consequences of
our construction, we are able to exhibit indecomposable $2$D persistence
modules whose support has holes as well as an indecomposable $2$D persistence
module containing all $1$D persistence modules with finite support as line
restrictions. Finally, we also show that any finite-rectangle-decomposable $n$D
persistence module can be found as a restriction of some indecomposable
$(n+1)$D persistence module.[Refereed]Scientific journal - Springer Science and Business Media {LLC}, Jan. 2019, JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, 36(1) (1), 97 - 130[Refereed]Scientific journal
- While persistent homology has taken strides towards becoming a widespread tool for data analysis, multidimensional persistence has proven more difficult to apply. One reason is the serious drawback of no longer having a concise and complete descriptor analogous to the persistence diagrams of the former. We propose a simple algebraic construction to illustrate the existence of infinite families of indecomposable persistence modules over regular grids of sufficient size. On top of providing a constructive proof of representation infinite type, we also provide realizations by topological spaces and Vietoris-Rips filtrations, showing that they can actually appear in real data and are not the product of degeneracies.Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2018, 34th International Symposium on Computational Geometry, SoCG 2018, June 11-14, 2018, Budapest, Hungary, 15:1-15:13, English[Refereed]International conference proceedings
- This article proposes a topological method that extracts hierarchical structures of various amorphous solids. The method is based on the persistence diagram (PD), a mathematical tool for capturing shapes of multiscale data. The input to the PDs is given by an atomic configuration and the output is expressed as 2D histograms. Then, specific distributions such as curves and islands in the PDs identify meaningful shape characteristics of the atomic configuration. Although the method can be applied to a wide variety of disordered systems, it is applied here to silica glass, the Lennard-Jones system, and Cu-Zr metallic glass as standard examples of continuous random network and random packing structures. In silica glass, the method classified the atomic rings as short-range and medium-range orders and unveiled hierarchical ring structures among them. These detailed geometric characterizations clarified a real space origin of the first sharp diffraction peak and also indicated that PDs contain information on elastic response. Even in the Lennard-Jones system and Cu-Zr metallic glass, the hierarchical structures in the atomic configurations were derived in a similar way using PDs, although the glass structures and properties substantially differ from silica glass. These results suggest that the PDs provide a unified method that extracts greater depth of geometric information in amorphous solids than conventional methods.NATL ACAD SCIENCES, Jun. 2016, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 113(26) (26), 7035 - 7040, English[Refereed]Scientific journal
- In this work, we discuss the problem of finding optimal cycles for homology groups of simplicial complexes and for persistent homology of filtrations. We review the linear programming formulation of the optimal homologous cycle problem and its extension to allow for multiple cycles. By inserting these linear programming problems into the persistent homology algorithm, we are able to compute an optimal cycle, that has been optimized at birth, for every persistent interval in the persistent diagram.SPRINGER-VERLAG TOKYO, 2016, OPTIMIZATION IN THE REAL WORLD: TOWARD SOLVING REAL-WORLD OPTIMIZATION PROBLEMS, 13, 79 - 96, English[Refereed]International conference proceedings
- This is a summary paper of Escolar and Hiraoka (Persistence modules on commutative ladders of finite type. Discrete Comput Geom 55, 100-157 (2016)) which presents an extension of persistence modules as representations on quivers with nontrivial relations. In particular, the mathematical and algorithmic results in that paper enable us to detect robust and common topological structures of two geometric objects. In this paper, we only deal with a special type of persistence modules defined on the so-called commutative triple ladder for the sake of simplicity. We aim to explain the essence of Auslander-Reiten theory in connection with persistence modules.SPRINGER JAPAN, 2016, MATHEMATICAL CHALLENGES IN A NEW PHASE OF MATERIALS SCIENCE, 166, 69 - 82, English[Refereed]International conference proceedings
- We study persistence modules defined on commutative ladders. This class of persistence modules frequently appears in topological data analysis, and the theory and algorithm proposed in this paper can be applied to these practical problems. A new algebraic framework deals with persistence modules as representations on associative algebras and the Auslander-Reiten theory is applied to develop the theoretical and algorithmic foundations. In particular, we prove that the commutative ladders of length less than 5 are representation-finite and explicitly show their Auslander-Reiten quivers. Furthermore, a generalization of persistence diagrams is introduced by using Auslander-Reiten quivers. We provide an algorithm for computing persistence diagrams for the commutative ladders of length 3 by using the structure of Auslander-Reiten quivers.SPRINGER, Jan. 2016, DISCRETE & COMPUTATIONAL GEOMETRY, 55(1) (1), 100 - 157, English[Refereed]Scientific journal
- The characterization of the medium-range (MRO) order in amorphous materials and its relation to the short-range order is discussed. A new topological approach to extract a hierarchical structure of amorphous materials is presented, which is robust against small perturbations and allows us to distinguish it from periodic or random configurations. This method is called the persistence diagram (PD) and introduces scales to many-body atomic structures to facilitate size and shape characterization. We first illustrate the representation of perfect crystalline and random structures in PDs. Then, the MRO in amorphous silica is characterized using the appropriate PD. The PD approach compresses the size of the data set significantly, to much smaller geometrical summaries, and has considerable potential for application to a wide range of materials, including complex molecular liquids, granular materials, and metallic glasses.IOP PUBLISHING LTD, Jul. 2015, NANOTECHNOLOGY, 26(30) (30), 304001, English[Refereed]Scientific journal
- 2014, A Mathematical Approach to Research Problems of Science and Technology - Theoretical Basis and Developments in Mathematical Modeling, 101 - 118
- Indonesian Mathematical Society, 2014, Journal of the Indonesian Mathematical Society, 20(1) (1), 47 - 75, English[Refereed]Scientific journal
- Persistence modules on commutative ladders naturally arise in topological data analysis. It is known that all isomorphism classes of indecomposable modules, which are the counterparts to persistence intervals in the standard setting of persistent homology, can be derived for persistence modules on commutative ladders of finite type. Furthermore, the concept of persistence diagrams can be naturally generalized as functions defined on the Auslander-Reiten quivers of commutative ladders. A previous paper [4] presents an algorithm to compute persistence diagrams by inductively applying echelon form reductions to a given persistence module. In this work, we show that discrete Morse reduction can be generalized to this setting. Given a quiver complex double-struck X, we show that its persistence module H q(double-struck X) is isomorphic to the persistence module H q(double-struck A) of its Morse quiver complex double-struck A. With this preprocessing step, we reduce the computation time by computing H q(double-struck A) instead, since double-struck A is generally smaller in size. We also provide an algorithm to obtain such Morse quiver complexes. © 2014 Springer-Verlag.Springer Verlag, 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8592, 144 - 151, EnglishInternational conference proceedings
- Lead, Jun. 2023, 数理科学 2023年6月号 No.720, 71 - 94, Japanese[Invited]Introduction scientific journal
- The Whole in the Parts: Putting $n$D Persistence Modules Inside Indecomposable $(n + 1)$D OnesMultidimensional persistence has been proposed to study the persistence of topological features in data indexed by multiple parameters. In this work, we further explore its algebraic complications from the point of view of higher dimensional indecomposable persistence modules containing lower dimensional ones as hyperplane restrictions. Our previous work constructively showed that any finite rectangle-decomposable $n$D persistence module is the hyperplane restriction of some indecomposable $(n+1)$D persistence module, as a corollary of the result for $n=1$. Here, we extend this by dropping the requirement of rectangle-decomposability. Furthermore, in the case that the underlying field is countable, we construct an indecomposable $(n+1)$D persistence module containing all $n$D persistence modules, up to isomorphism, as hyperplane restrictions. Finally, in the case $n=1$, we present a minimal construction that improves our previous construction.04 Dec. 2020
- The Physical Society of Japan (JPS), 2015, Meeting Abstracts of the Physical Society of Japan, 70, 2947 - 2947, Japanese
- The Physical Society of Japan (JPS), 22 Aug. 2014, Meeting abstracts of the Physical Society of Japan, 69(2) (2), 128 - 128, Japanese8aAp-9 A characterization of the amorphous silica structure by persistent homology II
■ Lectures, oral presentations, etc.
- 日本応用数理学会 若手の会 第10回学生研究発表会, Mar. 2025, Japaneseレシピ空間の位相的な解析とその発展Poster presentation
- 日本応用数理学会第21回研究部会連合発表会 [研究部会 OS] 位相的データ解析, Mar. 2025, Japanese, Co-authored internationallyBarcoding Invariants and Their Equivalent Discriminating PowerOral presentation
- パーシステントホモロジーセミナー, Nov. 2024, Japanese位相的データ解析とその応用例[Invited]Public discourse
- NTT基礎数学セミナー, Sep. 2024, Japanese, NTT武蔵野研究開発センタ, Domestic conferenceIntroduction to Topological Data Analysis and Recent Progress in Multiparameter Persistence[Invited]Public discourse
- AI・データ利活用研究会 第74回, Jul. 2024, Japanese位相的データ解析とその応用例[Invited]Public discourse
- Kobe Studio Seminar for Studies ワークショップ: 料理のレシピと映像制作,その数理的な展開, May 2024, Japaneseネットワークサイエンスから見た料理のレシピPublic discourse
- 日本数学会2024年度年会, Mar. 2024, Japanese, 大阪公立大学Computing bipath persistent homologyOral presentation
- 日本応用数理学会 第20回 研究部会連合発表会, Mar. 2024, Japanese, 長岡技術科学大学Computing bipath persistent homologyOral presentation
- Kobe Studio Seminar for Studies ワークショップ: 数学,計算機,そしてデータサイエンス, Feb. 2024, Japaneseデータの「穴」に着目:パーシステントホモロジーについてOthers
- 日本数学会応用数学分科 2023年度応用数学合同研究集会, Dec. 2023料理空間の位相的データ解析 ~ 新しい料理の提案への応用 ~Oral presentation
- Magnitude 2023, Dec. 2023, English, International conferenceOn interval covers and resolutions of persistence modules[Invited]Invited oral presentation
- 日本調理科学会近畿支部第49回研究発表会, Dec. 2023位相的データ解析で生成した料理レシピの調理と有用性Oral presentation
- 日本リスク学会 2023年度年次大会, Nov. 2023リスク認知地図の新たな表現に関する試みPoster presentation
- 日本数学会 2023 年度秋季総合分科会 応用数学分科会, Sep. 2023, JapaneseA topological analysis of the space of recipesOral presentation
- 日本数学会 2023 年度秋季総合分科会 代数学分科会, Sep. 2023On Interval Global Dimension of Posets: a Characterization of Case 0Oral presentation
- 第 55 回環論および表現論シンポジウム, Sep. 2023On interval global dimension of posets: a characterization of case 0Oral presentation
- TDA Week 2023, Aug. 2023, English, International conferenceApproximation by interval-decomposables and interval resolutions of 2D persistence modules[Invited]Invited oral presentation
- SIAM Conference on Applied Algebraic Geometry (AG23) Minisymposium Recent Developments in Multi-Parameter Persistence, Jul. 2023, English, Eindhoven University of Technology, Netherlands, International conferenceOn Interval Resolutions of Persistence Modules[Invited]Invited oral presentation
- Kobe Studio Seminar for Studies from Trials, May 2023, JapaneseIntroduction to Topological Data Analysis[Invited]Public discourse
- Meets Series Topology Meets Data, Jan. 2023, Japanese, ⼀橋講堂, Domestic conferencePersistent Homology and Representation Theory[Invited]Public discourse
- General Topology Symposium 2022, Dec. 2022, International conferenceMultiparameter persistent homology and interval approximations[Invited]Nominated symposium
- ICMMA 2022 International Conference on Topology and its Applications to Engineering and Life Science, Nov. 2022, English, Meiji Institute for Advanced Study of Mathematical Sciences Center for Mathematical Modeling and Applications, online, International conferenceMapping Firms' Locations in Technological Space: A Topological Analysis of Patent Statistics[Invited]Invited oral presentation
- 九州⼤学 IMI 共同利⽤・短期共同研究、機械学習への組合せ論的アプローチ(非公開部), Sep. 2022Introduction to Topological Data Analysis and Research on Interval Resolutions of Multiparameter Persistence[Invited]Others
- 日本数学会2022年度秋季総合分科会, Sep. 2022, Japanese, 北海道大学Approximation by interval-decomposables and interval resolutions of 2D persistence modulesOral presentation
- 日本応用数理学会2022年度年会, Sep. 2022, Japanese, 北海道大学可換梯子型パーシステンス加群の表現論的区間分解の計算法Oral presentation
- The 54th Symposium on Ring Theory and Representation Theory, Sep. 2022Approximation by interval-decomposables and interval resolutions of persistence modulesOral presentation
- 日本応用数理学会 第18回 研究部会連合発表会, Mar. 2022, JapaneseInterleavings and Matchings as RepresentationsOral presentation
- TDA Week, Feb. 2022, EnglishInterval Decomposability/Approximation of Persistence Modules, and their Computation[Invited]Invited oral presentation
- Asia Pacific Seminar on Applied Topology and Geometry, Jan. 2022, EnglishInterval Decomposability/Approximation of Persistence Modules, and their Computation[Invited]Invited oral presentation
- Ateneo de Manila University, School of Science & Engineering, Department of Mathematics, Mathematics Research Seminar Series, Oct. 2021, EnglishIntroduction to Topological Data Analysis[Invited]Public discourse
- Topics on Topological Data Analysis, Aug. 2021, JapaneseInterval Decomposability/Approximation of Persistence Modules, and their Computation[Invited]Invited oral presentation
- ILJU POSTECH MINDS Workshop on Topological Data Analysis and Machine Learning, Jul. 2021, EnglishMapping Firms' Locations in Technological Space: A Topological Analysis of Patent Statistics[Invited]Invited oral presentation
- 日本応用数理学会 2021年 研究部会連合発表会, Mar. 2021区間表現による2Dパーシステント表現の近似Oral presentation
- 日本応用数理学会 2021年 研究部会連合発表会, Mar. 2021, Japanese, onlineThe Whole in the Parts: Putting nD Persistence Modules Inside Indecomposable (n+1)D OnesOral presentation
- departmental colloquium talk (2021 in-house training program), Jan. 2021, Department of Mathematics and Computer Science, College of Science, University of the Philippines Baguio (online)Introduction to Topological Data Analysis: Ideas and ApplicationsPublic discourse
- [2nd AIP Open Seminar] Talks by Topological Data Analysis Team, Nov. 2020, OnlineMapping Firms' Locations in Technological Space: A Topological Analysis of Patent StatisticsPublic discourse
- 日本応用数学会2020年度年会, 正会員主催OS:位相的データ解析, Sep. 2020, online, zoomMapperを用いた企業の技術戦略の位相的データ解析Oral presentation
- TDA for Applications - Tutorial & Workshop, Jun. 2020, onlineMapperを用いた企業の技術戦略の位相的データ解析Public discourse
- Kyoto University Applied Mathematics Seminar, May 2020, Kyoto University, KyotoMapping firms’ locations in technological space: a topological analysis of patent statisticsPublic discourse
- 日本数学会 2020年度年会, Mar. 2020, (会は中止だが、発表は成立)Mapping firms’ locations in technological space: A topological analysis of patent statisticsOral presentation
- 2019年度応用数学合同研究集会, Dec. 2019, 龍谷大学企業の技術戦略の位相的データ解析Oral presentation
- ICIAM 2019 Thematic Minisymposium: "Geometry and Topology in Data Analysis", Jul. 2019, Valencia, Spain, SpainEvery 1D Persistence Module is a Restriction of Some Indecomposable 2D Persistence ModuleOral presentation
- Workshop "Computational Applications of Quiver Representations: TDA and QPA", May 2019, Bielefeld University, Bielefeld, Germany, Germany, International conferenceEvery 1D Persistence Module is a Restriction of Some Indecomposable 2D Persistence ModuleOral presentation
- MSJ Spring Meeting 2019, Mar. 2019, Japanese, Tokyo Institute of TechnologyEvery 1D Persistence Module is a Restriction of Some Indecomposable 2D Persistence ModuleOral presentation
- Workshop on Applied Topology 2019, Jan. 2019, KyotoEvery 1D Persistence Module is a Restriction of Some Indecomposable 2D Persistence ModuleOral presentation
- Applied Geometry & Topology 2018, Jul. 2018, Kyoto University, KyotoRealization of Indecomposable Persistence Modules of Large DimensionOral presentation
- guest lecture at Institute of Geometry, Jun. 2018, TU Graz, Graz, AustriaComputing Indecomposable Decompositions of Persistence ModulesOral presentation
- 34th International Symposium on Computational Geometry (SoCG 2018), Jun. 2018, Budapest, Hungary, Hungary, International conferenceRealizations of Indecomposable Persistence Modules of Arbitrarily Large DimensionOral presentation
- MSJ Spring Meeting 2018, Mar. 2018, The University of TokyoVietoris-Rips Realization of Indecomposable Persistence Modules of Arbitrarily Large DimensionOral presentation
- RIKEN-AIP Math Group Joint Seminar, Izuyama Kensyuu CenterRepresentation Theory and Persistent Homology in TDAOral presentation
- 2017年度応用数学合同研究集会, Dec. 2017, 龍谷大学瀬田キャンパスVietoris-Rips Realization of Indecomposable Persistence Modules of Arbitrarily Large DimensionOral presentation
- Applied Algebraic Topology 2017, Hokkaido University, Sapporo, Japan, International conferenceVietoris-Rips Realization of Indecomposable Persistence Modules of Large DimensionOral presentation
- A3 foresight workshop: Modeling and Simulation of Hierarchical and Heterogeneous Flow Systems with Applications to Materials Science III, Nov. 2016, Tohoku Forum for Creativity, Tohoku UniversityAn Introduction to Quiver Representation Theory for Topological Data AnalysisOral presentation
- EASIAM 2016, Jun. 2016, University of Macau, Macau, ChinaPersistence of Common Topological Features via Commutative Ladder QuiversOral presentation
- A3 foresight winter school on Mathematics on Materials Science: Topological Data Analysis and Dynamics, Feb. 2016, AIMR, Tohoku UniversityIntroduction to representation theory for topological data analysisOral presentation
- Minisymposium on Topological Data Analysis and Dynamics, 8th International Congress on Industrial and Applied Mathematics, Aug. 2015, Beijing, ChinaMatrix Method for Persistence Modules on Commutative Ladders of Finite TypeOral presentation
- 2014年度応用数学合同研究集会, Dec. 2014, 龍谷大学Morse Reduction for Persistence Modules on Commutative Ladders of Finite TypeOral presentation
- Short presentation (student session), Mathematics of Fluid Dynamics and Material Science, 1st Joint Conference of A3 Foresight Program, Nov. 2014, International Convention Center Jeju, Korea, International conferenceComputing Persistence Modules of Quiver ComplexesOral presentation
- IMI Workshop on Optimization in the Real World, Oct. 2014, Kyushu UniversityOptimal Cycles in Homology via Linear ProgrammingOral presentation
- MSJ Autumn Meeting 2014, Sep. 2014, Hiroshima UniversityComputing Persistence Modules on Commutative Ladders of Finite TypeOral presentation
- The 4th International Congress on Mathematical Software. Session: Software for Computational Topology, Hanyang University, Seoul, Korea, International conferenceComputing Persistence Modules on Commutative Ladder Quivers of Finite TypeOral presentation
- Workshop on Topological Data Analysis, Department of Mathematics. Kyoto University, International conferenceComputing Persistence Modules on Commutative Ladder Quivers of Finite TypeOral presentation
- Intersection of Pure Mathematics and Applied Mathematics IV, Feb. 2014, Kyushu University, Fukuoka, JapanOptimal Cycles of Homology GroupsOral presentation
- AKOOS-PNU International Conference 2014, Busan National University, Busan, South Korea, International conferenceMorse Reduction for Zigzag ComplexesOral presentation
- The 9th East Asia SIAM Conference, The 2nd Conference on Industrial and Applied Mathematics (EASIAM-CIAM 2013), Institut Teknologi Bandung, Bandung, West Java, Indonesia, International conferenceMorse Reduction for Zigzag ComplexesOral presentation
■ Works
■ Research Themes
- 日本学術振興会, 科学研究費助成事業, 基盤研究(C), 神戸大学, 01 Apr. 2024 - 31 Mar. 2027トポロジカルな視点による様々なプロセスの新しいデータ解析技術の開発
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Transformative Research Areas (A), Grant-in-Aid for Transformative Research Areas (A), Kyushu University, 16 Jun. 2022 - 31 Mar. 2027Establishing data descriptive science and its cross-disciplinary applications
- 日本学術振興会, 科学研究費助成事業, 挑戦的研究(萌芽), 神戸大学, 30 Jun. 2023 - 31 Mar. 2026高次元のリスク認知構造の新たな表現に関する検討
- 公益財団法人カシオ科学振興財団, 第40回研究助成, Dec. 2022 - Jan. 2024, Principal investigator
- 24 Jan. 2025 - 24 Jan. 2025令和6年度 西宮市立西宮高等学校グローバル・サイエンス科 理数探究研究発表大会及び普通科生徒探究発表会
- Lecturer, Living in Japan Online Salon, 25 Nov. 2024 - 25 Nov. 2024
- Lecturer, 10th Science Conference in Hyogo, 14 Jul. 2024 - 14 Jul. 2024
- Lecturer, ROOTプログラム Summary Session, 09 Jan. 2022 - 09 Jan. 2022, High school students
- Asia Pacific Seminar on Applied Topology and GeometryAug. 2020 - PresentAcademic society etc
- Topological Data Analysis and Representation Theory 202512 Feb. 2025 - 13 Feb. 2025, 神戸大学大学院人間発達環境学研究科 A棟739, International academic contributionAcademic society etc
- パーシステントホモロジーと表現論202422 Feb. 2024 - 22 Feb. 2024, オンライン開催(Zoom)Academic society etc
- TDA week 202331 Jul. 2023 - 04 Aug. 2023, Kyoto University, International academic contributionAcademic society etc
- AATRN Poster Session, Joint with APATG20 Sep. 2022 - 20 Sep. 2022Others
- TDA Week (2022)14 Feb. 2022 - 18 Feb. 2022, International academic contributionAcademic society etc
- 4th JST Math Open Problems Workshop19 Sep. 2020 - 21 Sep. 2020Others
- Workshop on Applied Topology 201907 Jan. 2019 - 11 Jan. 2019
- 6th Annual Minisymposium on Computational Topology04 Jul. 2017 - 07 Jul. 2017, International academic contributionAcademic society etc