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Sato-Ilic Mika

Affiliation
Faculty of Engineering, Information and Systems
Official title
Professor
Email
 
Research fields
Statistical science
Research keywords
Statistics
Soft Computing
Data Mining
Multidimensional Data Analysis
Research projects
3元型時系列高次元小標本データの解析とその社会的応用2020 -- 2022イリチユ 美佳Japan Society for the Promotion of Science/Grant-in-Aid for Scientific Research(C)4,420,000Yen
高次計量による高次元小標本型ビックデータ解析とその社会的応用2017 -- 2019イリチユ 美佳Japan Society for the Promotion of Science/Grant-in-Aid for Scientific Research(C)4,550,000Yen
高次計量による高次元小標本型ビックデータ解析とその社会的応用2017-04 -- 2020-03Mika Sato-IlicJapan Society of for the Promotion of Science/科学研究費基盤研究(C)
多次元クラスター尺度構成法によるビックデータ解析とその社会的応用2014 -- 2016イリチユ 美佳Japan Society for the Promotion of Science/基盤研究(C)4,810,000Yen
Intelligent Sensor Networks: Developing Secured Communication Protocol for Robust Applications2006 -- 2012L.C. Jain/International Joint Research Projects
Clustering Techniques in Data Modeling2005 -- 2011/International Joint Research Projects
Data Mining and Machine Learning Techniques2012 -- 2012/International Joint Research Projects
Development of Decision Fusion Architecture for Complex Scenarios2012 -- 2012/International Joint Research Projects
曖昧さを考慮したクラスタリングモデルについて1995 -- 1996Japan Society of for the Promotion of Science/奨励研究(A)
Aggregation Operatorの性質に基づくクラスタリングモデル1996 -- 1996Japan Society of for the Promotion of Science/奨励研究(A)
Career history
2021-04 -- 2022-03筑波大学 理工学群 理工学群長特別補佐
2021-04 -- (current)National Statistics Center Special counselor
2017-04 -- 2021-03The National Statistics Center Vice President
2014 -- 2014Universite Pierre et Marie Curie (University of Paris) Laboratoire d'Informatique de Paris 6 Invited Professor
2013 -- 2013University of South Australia Research Contractor
2013 -- (current)Faculty of Engineering, Information and Systems Professor
2012 -- 2012Universite Pierre et Marie Curie (University of Paris) Laboratoire d'Informatique de Paris 6 Invited Professor
2000 -- 2013University of Tsukuba Institute of Policy and Planning Sciences Associate Professor
1997 -- 2000University of Tsukuba Institute of Policy and Planning Sciences Assistant Professor
1997 -- 1997Leiden University Department of Data Theory Visiting Researcher
Academic background
-- 1994Hokkaido University Graduate School, Division of Engineering 情報工学Completed
Degree
Ph.D. in EngineeringHokkaido University
Academic societies
2020-10 -- (current)第25期日本学術会議 (連携会員 2020-現在)
2009-07 -- (current)International Statistical Institute (ISI) (国際統計協会)
1997-09 -- (current)Institute of Electrical and Electronics Engineers (IEEE) (米国電気電子学会) (上級会員(Senior Member), 2004-現在)
2007 -- (current)Editor in Chief of International Journal of Knowledge Engineering and Soft Data Paradigms, Inderscience Publishers, UK
2009-07 -- (current)International Association Statistical Computing
1991-04 -- (current)THE JAPAN STATISTICAL SOCIETY
1991-04 -- (current)Japan Society for Fuzzy Theory and intelligent informatics (SOFT)
1997-04 -- (current)JAPANESE SOCIETY OF COMPUTATIONAL STATISTICS
1994-03 -- (current)日本分類学会(幹事(渉外), 2011-2014, 2017-2022; 評議員, 2019-2022)
2007 -- 2008Member of External Expert Committee to the CS Panel (Research Foundation of City University of New York, USA)
Honors & Awards
2021-06-24Best Paper Award (Third Prize)M. Sato-Ilic, Indicator for Individuality of Subjects Based on Similarity of Objects, CAS2021, Philadelphia, USA, 2021
2019-11-14Best Paper AwardM. Sato-Ilic, Probabilistic Metric Based Multidimensional Scaling, Complex Adaptive Systems, Philadelphia, USA, 2019
2018-12-21Award of AppreciationM. Sato-Ilic, Cluster-Scaled Intelligent Data Analysis, 3rd International Conference on Smart Computing & Informatics, India
2018-06-22Best Research Paper AwardY. Toko, K. Wada, S. Iijima, M. Sato-Ilic, Supervised Multiclass Classifier for Autocoding Based on Partition Coefficient, KES
2018-11-062nd Runner-Up Theoretical Paper AwardM. Sato-Ilic, Homogeneous Cluster Analysis, Complex Adaptive Systems, Chicago, USA, 2018
2017-11-011st Runner-Up Theoretical Paper AwardM. Sato-Ilic, Knowledge-based Comparable Predicted Values in Regression Analysis, Complex Adaptive Systems, Chicago, USA, 2017
2016-09-21Letter of Thanksthe very significant contribution you made to the Knowledge-Based and Intelligent Information & Engineering Systems Conference K
2016-11-17JANOS FODOR AwardM. Sato-Ilic, Soft Data Analysis based on Cluster Scaling, Soft Computing Applications, Arad, Romania, 2016
2015-11-031st Runner-Up Theoretical Paper AwardM. Sato-Ilic, Multidimensional Joint Scale and Cluster Analysis, Complex Adaptive Systems, San Jose, USA, 2015
2014-111st Runner up Theoretical Paper AwardM. Sato-Ilic, P. Ilic, On A Multidimensional Cluster Scaling, Complex Adaptive Systems, Philadelphia, USA, 2014
2014-07-10Recognition as Program Co-Chair (貢献賞(プログラム委員長))for 2014 IEEE International Conference on Fuzzy Systems, The IEEE Computational Intelligence Society, Beijing, China, 2014
2013-11-14Best Theoretical Paper AwardM. Sato-Ilic, P. Ilic, Fuzzy Dissimilarity Based Multidimensional Scaling and Its Application to Collaborative Learning Data,USA
2012-11-16Best Theoretical Paper AwardM. Sato-Ilic, On Fuzzy Clustering based Correlation, Complex Adaptive Systems, Washington D.C., USA, 2012
2011-11-02Best Theoretical Paper AwardM. Sato-Ilic, Symbolic Clustering with Interval-Valued Data, Complex Adaptive Systems, Chicago, USA, 2011
2011-08Fellow
2011-04Outstanding Contribution Award for Education筑波大学 大学院システム情報工学研究科, 2011
2010-11-031st Runner up Award (theoretical development in computational intelligence)M. Sato-Ilic, Generalized Aggregation Operator based Nonlinear Fuzzy Clustering Model, ANNIE2010, St. Louis, USA, 2010
2010-09Outstanding Contribution Award第 25 回ファジィシステムシンポジウム (実行委員長), 日本知能情報ファジィ学会, 2010
2010-08Outstanding Contribution AwardM. Sato-Ilic, Fuzzy Clusterwise Analyses in High Dimensional Space, Seventh International Symposium on Management Engineering
2009-11Best Student Presentation Award
2009-08Excellent Paper AwardM. Sato-Ilic, D. Wu, Fuzzy Cluster Number Selection based on Alignment of Similarities, The 6th ISME, Dalian, China, 2009
2007-112nd Runner up Award (application development)M. Sato-Ilic, S. Ito,Principal Component Analysis Considering Weight based on Dissimilarity of Objects in High Dimensional Space
2007-03-11Excellent Paper AwardM. Sato-Ilic, Regression Analysis Considering Fuzzy Block Intercepts, International Symposium on Management Engineering, Japan
2003-05-26Award of Paper from the Japan Port & Harbor Association
Articles
  • Efficient Autocoding Method in High Dimensional Space
    Toko Yukako; Sato-Ilic Mika
    Romanian Statistical Review/1/pp.3-16, 2021-03
  • A Hybrid Method of Multi-class SVM and Classification Method Based on Reliability Score for Autocoding of the Family Income and Expenditure Survey
    Toko Yukako; Sato-Ilic Mika
    Intelligent Decision Technologies (in press), 2021
  • Individual Difference Assessment Method Based on Cluster Scale Using a Data Reduction Method
    Nitta Kazuki; Sato-Ilic Mika
    Intelligent Decision Technologies (in press), 2021
  • A Classification Method Based on Ensemble Learning of Deep Learning and Multidimensional Scaling
    Miyazawa Kazuya; Sato-Ilic Mika
    Intelligent Decision Technologies (in press), 2021
  • Indicator for Individuality of Subjects Based on Similarity of Objects
    Sato-Ilic Mika
    Procedia Computer Science/185/pp.193-202, 2021-06
  • Probabilistic Metric Based Multidimensional Scaling
    Sato-Ilic Mika
    Procedia Computer Science/168/pp.65-72, 2020-01
  • Fuzzy Clustering and Fuzzy Clustering Models
    佐藤美佳(イリチユ 美佳)
    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics/31(3)/pp.75-81, 2019-06
  • Quantification and Visualization for Difference of Fuzzy Clustering Results
    Sato-Ilic Mika
    The 2019 IEEE International Conference on Fuzzy Systems,2019, 2019-06
  • A Constrained Cluster Analysis with Homogeneity of External Criterion
    Takahashi Masao; Asakawa Tomoo; Sato-Ilic Mika
    Intelligent Decision Technologies/193/pp.303-313, 2020-06
  • Improvement of the Training Dataset for Supervised Multiclass Classification
    Toko Yukako; Sato-Ilic Mika
    Intelligent Decision Technologies/193/pp.291-302, 2020-06
  • A Supervised Multiclass Classifier as an Autocoding System for the Family Income and Expenditure Survey
    Toko Yukako; Wada Kazumi; Yui Seigo; Sato-Ilic Mika
    Advanced Studies in Classification and Data Science, Studies in Classification, Data Analysis, and Knowledge Organizatio (in press), 2020
  • Evaluation of Fuzzy Clustering for High-Dimensional Data based on Principal Component Analysis
    村山喬則; イリチユ 美佳
    35th Fuzzy System Symposium/35/pp.203-208, 2019-08
  • Generalization for Improvement of the Reliability Score for Autocoding
    Toko Yukako; Iijima Shinya; Sato-Ilic Mika
    ROMANIAN STATISTICAL REVIEW/(3)/pp.47-59, 2019
  • Multilayer Clustering based on T-norms for High-Dimension Low-Sample Size Data
    伊藤佳輝; 元田卓; イリチユ 美佳
    第34回ファジィシステムシンポジウム講演論文集/pp.480-485, 2018-09
  • Estimation of Business Demography Statistics: A Method for Analyzing Job Creation and Destruction
    Takahashi Masao; Sato-Ilic Mika; Okamoto Motoi
    Intelligent Decision Technologies 2018/97/pp.33-43, 2018-06
  • Supervised Multiclass Classifier for Autocoding Based on Partition Coefficient
    Toko Yukako; Wada Kazumi; Iijima Shinya; Sato-Ilic Mika
    Intelligent Decision Technologies 2018/97/pp.54-64, 2018-06
  • Cluster-Scaled Regression Analysis for High-Dimension and Low-Sample Size Data
    Sato-Ilic Mika
    Advances in Smart Systems Research/7(1)/pp.1-10, 2018-06
  • Homogeneous Cluster Analysis
    Sato-Ilic Mika
    Procedia Computer Sciences/140/pp.269-275, 2018-11
  • Overlapping classification for autocoding system
    Toko Yukako; Iijima Shinya; Sato-Ilic Mika
    ROMANIAN STATISTICAL REVIEW/(4)/pp.58-73, 2018
  • A Simultaneous Fuzzy Clustering Method for 3-Way Multi-Source Data
    イリチユ 美佳; 矢吹健二
    Proceedings of the Fuzzy System Symposium/33/pp.441-446, 2017-09
  • Cluster Identification and Scaling Methods based on Comparative Quantification for Dissimilarity Data
    Sato-Ilic Mika; Ilic Peter
    The 2017 IEEE International Conference on Fuzzy Systems, 2017-07
  • Knowledge-based Comparable Predicted Values in Regression Analysis
    Sato-Ilic Mika
    Procedia Computer Science, Elsevier/114/pp.216-223, 2017-11
  • On Special Issue entitled "Soft Data Analysis"
    佐藤 美佳
    journal of Japan Society for Fuzzy Theory and Intelligent Informatics/17(4)/p.391, 2005-08
  • Fuzzy Clustering and Multivariate Analysis
    佐藤 美佳
    Bulletin of the Computational Statistics of Japan/17(2)/pp.147-156, 2005-08
  • Generalized Kernel Fuzzy Clustering Model
    Sato-Ilic Mika; Ito Shota; Takahashi Shota
    IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS/pp.421-426, 2009-01
Books
  • A Supervised Multiclass Classifier as an Autocoding System for the Family Income and Expenditure Survey
    Toko Yukako; Wada Kazumi; Yui S.; Sato-Ilic Mika
    Advanced Studies in Classification and Data Science, Studies in Classification, Data Analysis, and Knowledge Organization, Springer, Singapore, 2020
  • Fuzzy Clustering Models and Their Related Concepts
    Sato-Ilic Mika
    Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications, Springer, 2020
  • Data Similarity and Multidimensional Scaling
    イリチユ 美佳; 高木英明
    Methods of Service Science, Whereby Data Meet Mathematics, 筑波大学出版会, 2017-09
  • 分かるために分けるクラスター分析(第3章)
    イリチユ 美佳; 高木英明
    サービスサイエンスの事訳―データサイエンスと数理科学の融合に向けてー, 筑波大学出版会, 2017-09
  • Fuzzy Data Analysis (Chapter 8)
    M. Sato-Ilic
    Computational Intelligence - Volume I, EOLSS Publications/United Nations Education, Scientific and Cultural Organization, pp.215-252, 2015
  • Linear Regression Models for Business Data
    イリチユ 美佳; 高木英明
    Introduction to Service Science: Innovation by Mathematical Modeling and Data Analysis, 筑波大学出版会, pp.249-292, 2014
  • Data Mining
    イリチユ 美佳
    ものづくりに役立つ経営工学の辞典 - 180の知識 -, 朝倉書店, 2014
  • Data Mining, Text Mining
    イリチユ 美佳
    感性工学ハンドブック- 感性をきわめる七つの道具, 2013
  • 海外先進教育研究実践支援プログラム - 南オーストラリア大学における学習アドバイザー、特殊専門教育技法についての報告 -
    佐藤 美佳
    筑波大学システム情報工学研究科におけるファカルティディベロップメント活動 - 平成17年度教育プロジェクト報告書 -, 2006-01
  • Fuzzy Clustering based on Weighted Principal Component Analysis for Interval-Valued Data
    M. Sato-Ilic
    Grant-in-Aid for Scientific Research (B)(2), the Ministry of Education, Science, Sports and Culture, On Creation for International Position Concerning Cluster Analysis by Soft Computing (Mini COE), Research Report, 2007-01
  • Hybrid Methods based on Fuzzy Clustering
    M. Sato-Ilic
    Symposium of Symbolic Data Analysis and Related Methods, The Institute of Statistical Mathematics, 2007-01
  • Evolution of Fuzzy Clustering (invited lecture)
    M. Sato-Ilic
    The 3rd SIG-DMSM (Data Mining and Statistical Mathematics), 2007-01
  • Theory and Applications for Data Analysis for University Entrance Examination - Clustering Model for Students Entering Universities -, Section 1.3
    佐藤 美佳; 佐藤 義治; +イリチユ 美佳
    Gendai-Sugakusha, 1999-01
  • Economics of Port Areas - Analysis of the Service Area of Ports in Japan -, Chapter 2, Section 3
    伊藤 秀和; 佐藤 美佳; 土井 正幸; +イリチユ 美佳
    Taga, 2003-01
  • リスク工学の視点とアプローチ - 現代生活に潜むリスクにどう取り組むか -
    古川宏; 佐藤美佳; 亀山啓輔; 谷口綾子; 梅本通孝; 羽田野祐...
    コロナ社, 2009-05
  • Innovations in Intelligent Machines 1
    J.S. Chahl; L.C. Jain; A. Mizutani; and M. Sato-Ilic; +イ...
    Springer-Verlag Berlin Heidelberg, 2007-01
  • Advances in Fuzzy Clustering and its Applications, Fuzzy Regression Clustering (Chapter 11), (J. Valente de Oliveira and W. Pedrycz eds.)
    M. Sato-Ilic
    John Wiley & Sons, 2007-01
  • Computational Intelligence Paradigms
    L.C. Jain; M. Sato-Ilic; M. Virvou; G.A. Tsihrintzis; V.E...
    Springer-Verlag Berlin Heidelberg, 2008-04
  • Fuzzy Clustering Models and Applications
    M. Sato; Y. Sato; L.C. Jain; +イリチユ 美佳
    Springer-Verlag, 1997-01
  • Innovations in Fuzzy Clustering
    M. Sato-Ilic; L.C. Jain
    Springer-Verlag, 2006-01
  • Asymmetric clustering based on self-similarity
    Sato-Ilic Mika; Jain Lakhmi C.
    2007 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, VOL 1, PROCEEDINGS, IEEE COMPUTER SOC, pp.361-364, 2007-01
Conference, etc.
  • Efficient Autocoding Method in High Dimensional Space
    Sato-Ilic Mika
    Use of R in Official Statistics - uRos2020/2020-12-02--2020-12-04
  • A Hybrid Method of Multi-Class SVM and Classification Method Based on Reliability Score for Autocoding of the Family Income and Expenditure Su
    Toko Yukako; Sato-Ilic Mika
    13th Knowledge-Based and Intelligent Information & Engineering Systems - Intelligent Decision Technologies/2021-06-14--2021-06-16
  • Individual Differences Assessment Method Based On Cluster Scale Using A Data Reduction Method
    Nitta Kazuki; Sato-Ilic Mika
    13th Knowledge-Based and Intelligent Information & Engineering Systems - Intelligent Decision Technologies/2021-06-14--2021-06-16
  • A Classification Method Based On Ensemble Learning Of Deep Learning And Multidimensional Scaling
    Miyazawa Kazuya; Sato-Ilic Mika
    13th Knowledge-Based and Intelligent Information & Engineering Systems - Intelligent Decision Technologies/2021-06-14--2021-06-16
  • Indicator for Individuality of Subjects Based on Similarity of Objects
    Sato-Ilic Mika
    Complex Adaptive Systems 2021/2021-06-16--2021-06-18
  • Complex Statistical Data Modeling
    Sato-Ilic Mika
    NUS-Tsukuba Joint-Online-Workshop on Sustainable Management and Data Sciences/2021-03-14--2021-03-15
  • Statistical Data Science at A Crossroads (Keynote speech)
    Sato-Ilic Mika
    KES-Intelligent Decision Technologies, Smart Innovation, Systems and Technologies 2020/2020-06-17--2020-06-19
  • A Constrained Cluster Analysis with Homogeneity of External Criterion
    Takahashi Masao; Asakawa Tomoo; Sato-Ilic Mika
    KES-Intelligent Decision Technologies, Smart Innovation, Systems and Technologies 2020/2020-06-17--2020-06-19
  • Improvement of the Training Dataset for Supervised Multiclass Classification
    Toko Yukako; Sato-Ilic Mika
    KES-Intelligent Decision Technologies, Smart Innovation, Systems and Technologies 2020/2020-06-17--2020-06-19
  • Fuzzy clustering-based non-linear dimensionality reduction
    Sato-Ilic Mika
    3th International Conference on Computational and Financial Econometrics (CFE 2019) and 12th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2019)/2019-12-14--2019-12-16
  • Evaluation of Fuzzy Clustering for High-Dimensional Data based on Principal Component Analysis
    村山喬則; イリチユ 美佳
    35th Fuzzy System Symposium/2019-08-29--2019-08-31
  • Improvement of training data based on pattern of reliability scores for overlapping classification
    Toko Yukako; Sato-Ilic Mika; Iijima Shinya
    16th Conference of the International Federation of Classification Societies/2019-08-26--2019-08-29
  • Statistical Data Science Based on Soft Computing
    Sato-Ilic Mika
    MIT-Tsukuba Joint-Workshop on Data Systems Science towards Social and Business Innovations/2020-01-20--2020-01-21
  • Quantification and Visualization for Difference of Fuzzy Clustering Results
    Sato-Ilic Mika
    The 2019 IEEE International Conference on Fuzzy Systems/2019-06-23--2019-06-26
  • Probabilistic Metric Based Multidimensional Scaling
    Sato-Ilic Mika
    Complex Adaptive Systems 2019/2019-11-13--2019-11-15
  • Japanese Joint Statistical Meeting 2018
    小林大悟; イリチユ 美佳
    分類構造に基づく異常検知手法/2018-09-09--2018-09-13
  • Multilayer Clustering based on T-norms for High-Dimension Low-Sample Size Data
    伊藤佳輝; 元田卓; イリチユ 美佳
    34th Fuzzy System Symposium/2018-09-03--2018-09-05
  • 自動格付のための多クラス分類器
    床裕佳子; イリチユ 美佳
    科研費基盤研究(A)「政府統計ミクロデータの構造化と研究利用プラットフォームの形成」に係る研究集会/2019-01-18
  • A Proposal for a Method of Forming Survey Blocks in the Economic Census for Business Frame: Development of a New Algorithm of Constrained Cluster Analysis Using the Information of Spatial Representative Points
    髙橋雅夫; 浅川智雄; イリチユ 美佳
    地理情報システム学会 第27回学術研究発表大会/2018-10-20--2018-10-21
  • Overlapping Classification for Autocoding System
    Yoko Yukako; Iijima Shinya; Sato-Ilic Mika
    Use of R in Official Statistics 2018/2018-09-13--2018-09-14
  • Supervised Multiclass Classifier for Autocoding Based on Partition Coefficient
    Toko Yukako; Wada Kazumi; Iijima Shinya; Sato-Ilic Mika
    KES-Intelligent Decision Technologies2018/2018-06-20--2018-06-22
  • Estimation of Business Demography Statistics: A Method for Analyzing Job Creation and Destruction
    Takahashi Masao; Sato-Ilic Mika; Motoki
    KES-Intelligent Decision Technologies2018/2018-06-20--2018-06-22
  • Cluster-Scaled Regression Analysis for High-Dimension and Low-Sample Size Data
    Sato-Ilic Mika
    KES-Intelligent Decision Technologies2018/2018-06-20--2018-06-22
  • Homogeneous Cluster Analysis
    Sato-Ilic Mika
    Complex Adaptive Systems 2018/2018-11-05--2018-11-07
  • Soft Clustering-based Models
    Sato-Ilic Mika
    23rd International Conference on Computattional Statistics (COMPSTAT 2018)/2018-08-28--2018-08-31
Teaching
2021-04 -- 2021-08Research in Risk Engineering IUniversity of Tsukuba.
2021-10 -- 2022-02Research in Risk Engineering IUniversity of Tsukuba.
2021-10 -- 2022-02Internship A in Risk Engineering in Master's ProgramUniversity of Tsukuba.
2021-04 -- 2021-08Internship A in Risk Engineering in Master's ProgramUniversity of Tsukuba.
2021-10 -- 2022-02Advanced Seminar in Risk EngineeringUniversity of Tsukuba.
2021-04 -- 2021-08Advanced Seminar in Risk EngineeringUniversity of Tsukuba.
2021-04 -- 2021-06Introduction to Risk EngineeringUniversity of Tsukuba.
2021-04 -- 2021-08Advanced Research in Social Systems and ManagementUniversity of Tsukuba.
2021-10 -- 2022-02Advanced Research in Social Systems and ManagementUniversity of Tsukuba.
2021-04 -- 2021-08Internship A in Risk Engineering in Doctoral ProgramUniversity of Tsukuba.
Other educational activities
2019-04 -- 2020-03システム情報系 若手研究者育成推進委員
2021-04 -- (current)リスク・レジリエンス工学学位プログラム ダイバーシティ・アクセシビリティ担当教員
2021-04 -- (current)リスク・レジリエンス工学学位プログラム 予算委員会 委員長
2021-04 -- (current)リスク・レジリエンス工学学位プログラム 達成度評価チェック委員会 委員長
2021-04 -- (current)システム情報工学研究群 内部進学制度入学試験の書面審査員
2021-04 -- (current)システム情報系 コンプライアンス推進委員会 委員
2020-04 -- (current)筑波大学 ダイバーシティ・アクセシビリティ担当教員
2020-04 -- (current)リスク・レジリエンス工学学位プログラム「リスク・レジリエンス工学概論」
2020-04 -- 2021-03リスク・レジリエンス工学学位プログラム 教育企画委員会 委員長
2020-04 -- (current)リスク・レジリエンス工学学位プログラム 研究企画委員会 委員
Talks
  • A Fuzzy Clustering Method for Multi Source Data
    Sato-Ilic Mika; T. Hatori
    Workshop on Statistical Methods for Large Complex Data/2014-11
  • A Method for Interpreting Principle Components using Discrimination Information and Its Application to EEG Data
    Sato-Ilic Mika
    Workshop on Statistical Methods for Large Complex Data/2014-11
  • A Fuzzy Clustering Method using the Relative Structure of the Belongingness of Objects to Clusters
    Sato-Ilic Mika; T. Hatori
    KES2014/2014-09-15--2014-09-17
  • Universal Fuzzy Clustering Model
    イリチユ 美佳
    IEEE World Congress on Computational Intelligence/2013-07
  • On A Multidimensional Cluster Scaling
    イリチユ 美佳
    CAS2014/2014-11
  • Clustering-based Models from Model-based Clustering, Invited talk
    イリチユ 美佳
    Invited talk at Department of Databases and Machine Learning, LIP6, University of Paris (UPMC), Paris, France in cooperation with the France chapter of the IEEE Computational Intelligence Society/2014-09-11
  • Clustering Innovations in Data Science, Keynote speech
    Sato-Ilic Mika
    Complex Adaptive Systems 2014 Conference/2014-11
  • Fuzzy Clustering-based Models and its Applications, Invited talk
    イリチユ 美佳
    The Behaviormetric Society of Japan/2014-03-15--2014-03-15
  • Fuzzy Clustering Induced Correlation for Feature Extraction in Lower Dimension Space, Invited talk
    Sato-Ilic Mika
    International Conference of the ERCIM WG on Computational and Methodological Statistics, London, UK/2013-12-14--2013-12-16
  • Cluster-based Scaling for Symbolic Data and its Applications in Decision Making, Keynote speech
    Sato-Ilic Mika
    4th International Conference on Intelligent Decision Technologies (KES-IDT2012)
  • Fuzzy Clustering Method and its Applications
    M. Sato; +イリチユ 美佳
    Fuzzy Clustering Method and its Applications/1994-04-01
  • Asymmetric Aggregation Operator and its Application to Fuzzy Clustering Model
    M. Sato; +イリチユ 美佳
    Asymmetric Aggregation Operator and its Application to Fuzzy Clustering Model/1997-04-01
  • On Methods of Evaluation of Fuzzy Clustering
    M. Sato-Ilic
    The Twelfth International Colloquium on Numerical Analysis and Computer Science with Applications/2003-04-01
  • ソフトデータ解析とその応用
    佐藤 美佳; +イリチユ 美佳
    第21回東海ファジィ研究会/2006-08-07
  • Evolution of Fuzzy Clustering
    M. Sato-Ilic
    人工知能学会 第3回データマイニングと統計数理研究会/2007-02-27
  • Temporal Asymmetric Fuzzy Clustering Model
    M. Sato-Ilic
    Taiwan-Japan Symposium 2007, On Fuzzy Systems & Innovational Computing, National Science Council, Taiwan, Taipei Economic and Cultural Representative Office in Japan, Chaoyang University of Technology, Taichung, Taiwan/2007-04-01
  • ファジィクラスタリングに基づく区間データ解析とその応用
    佐藤美佳; +イリチユ 美佳
    日本オペレーションズ・リサーチ学会「不確実性環境下での意思決定の理論と応用」研究部会「ソフトコンピューティングとOR」研究部会合同研究集会/2009-02-28
  • Exploratory Approaches for Complex Data
    M. Sato-Ilic
    6th Japan Society of Fuzzy Theory and Intelligent Informatics short course/2010-04-01
  • Fuzzy Classification Structure Based Analyses Through High Dimensional Data Space
    M. Sato-Ilic
    Joint Meeting of Japan-Korea Special Conference of Statistics/2010-02-02
  • Fuzzy Clusterwise Analyses in High Dimensional Space (Keynote speech)
    M. Sato-Ilic
    Seventh International Symposium on Management Engineering/2010-08-27
  • Intelligent Symbolic Clustering through High Dimensional Space
    M. Sato-Ilic
    The Machine Learning and Information Retrieval Department, University of Paris (LIP6 -UPMC-CNRS)/2011-04-08
  • Cluster Harnessing Analyses for High Dimension Low Sample-Size Data
    M. Sato-Ilic
    The Machine Learning and Information Retrieval Department, University of Paris (LIP6 -UPMC-CNRS)/2012-03-22
  • Cluster-based Scaling for Symbolic Data and its Applications in Decision Making (Keynote speech)
    M. Sato-Ilic
    4th International Conference on Intelligent Decision Technologies (KES-IDT2012)/2012-05-25
Professional activities
2021-02 -- 2021-12特定非営利活動法人 横断型基幹科学技術研究団体連合横幹連合コンファレンス 実行委員会委員
2019-10 -- 2020-03大学共同利用機関法人 情報・システム研究機構外部評価委員会委員
2021-04 -- 2022-03独立行政法人統計センター特別参与
2020-12 -- 2021-11内閣府令和3年公認会計士試験試験委員
2020-12 -- 2021-02内閣府令和2年公認会計士試験試験委員
2019-12 -- 2020-11内閣府令和2年公認会計士試験試験委員
2018-12 -- 2019-11内閣府平成31年公認会計士試験試験委員
2017-12 -- 2018-11内閣府平成30年公認会計士試験試験委員
2021-03 -- 2023-03⽂部科学省統計エキスパート⼈材育成プロジェクト推進委員会委員
2014 -- 2014独立行政法人日本学術振興会科学研究費委員会専門委員 平成26年度第1段審査(書面審査)委員
University Management
2021-04 -- 2022-03筑波大学筑波大学理工学群長特別補佐
2019-04 -- 2020-03理工学群社会工学類入試実施委員会委員長
2017-04 -- (current)システム情報工学研究科リスク工学専攻学生担当(M2)担当教員
2017-04 -- (current)理工学群ESCAT実行委員会委員
2017-04 -- (current)筑波大学ダイバーシティ・アクセシビリティ担当教員担当教員
2017-04 -- (current)社会工学類学生担当教員担当教員
2017-04 -- (current)システム情報工学研究科リスク工学専攻長賞表彰選考委員会委員長
2017-04 -- (current)システム情報工学研究科リスク工学専攻将来戦略WGコアメンバー
2017-04 -- (current)システム情報工学研究科リスク工学専攻達成度評価実施委員会委員長
2017-04 -- (current)システム情報工学研究科内部進学制度書面審査員

(Last updated: 2021-09-16)