SATO-ILIC Mika

Affiliation
Institute of Systems and Information Engineering
Official title
Professor
Email
+B>@6XgcG>H@aIHJ@J76a68a?E
Research fields
Statistical science
Research keywords
Statistics
Soft Computing
Data Mining
Multidimensional Data Analysis
Research projects
Artificial intelligence based nonlinear high-dimensional small sample size data analysis and its social applications2024-04 -- 2027-03SATO-ILIC MikaJapan Society for the Promotion of Science/Grant-in-Aid for Scientific Research(C)4,680,000Yen
Analysis of 3-Way Time Series High-Dimension Low-Sample Size Data and Its Applications2020-04 -- 2024-03SATO-ILIC MikaJapan Society for the Promotion of Science/Grant-in-Aid for Scientific Research(C)4,420,000Yen
High-Dimension Low-Sample-Size Big Data Analysis by Higher Order Metrics2017-04 -- 2020-03SATO-ILIC MikaJapan Society for the Promotion of Science/Grant-in-Aid for Scientific Research(C)4,550,000Yen
Big data analytics by multidimensional cluster scaling and its social applications2014-04 -- 2017-03SATO-ILIC MikaJapan Society for the Promotion of Science/Grant-in-Aid for Scientific Research(C)4,810,000Yen
Development of Cluster-wise Methods for High Dimensional Symbolic Data and its Applications2011 -- 2013SATO-ILIC MikaJapan Society of for the Promotion of Science/基盤研究(C)5,070,000Yen
Data Mining and Machine Learning Techniques2012 -- 2012/International Joint Research Projects
Development of Decision Fusion Architecture for Complex Scenarios2012 -- 2012/International Joint Research Projects
Medical service science for a local regional reference hospital to put into practice the satisfaction of patients and proper duties of staff2011 -- 2013高木英樹Japan Society of for the Promotion of Science/Grant-in-Aid for Scientific Research(A)17,940,000Yen
General research on theory and methodologies of high dimensional data2010 -- 2014AOSHIMA MakotoJapan Society of for the Promotion of Science/Grant-in-Aid for Scientific Research(B)
Development of a high dimensional aggregation operator and its application to a clustering model2008 -- 2010SATO MikaJapan Society of for the Promotion of Science/Grant-in-Aid for Scientific Research(C)4,420,000Yen
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Career history
2024-04 -- (current)University of TsukubaChair of College of Policy and Planning Sciences
2023-07 -- (current)Statistical Research and Training Institute, Ministry of Internal Affairs and CommunicationsVisiting Professor
2021-04 -- 2022-03筑波大学理工学群理工学群長特別補佐
2021-04 -- 2023-03National Statistics CenterSpecial counselor
2017-04 -- 2021-03The National Statistics CenterVice President
2014 -- 2014Universite Pierre et Marie Curie (University of Paris)Laboratoire d'Informatique de Paris 6 (LIP6)Invited Professor
2013 -- (current)Faculty of Engineering, Information and SystemsProfessor
2012 -- 2012University of South AustraliaResearch Contractor
2012 -- 2012Universite Pierre et Marie Curie (University of Paris)Laboratoire d'Informatique de Paris 6 (LIP6), Département Bases de Données et Apprentissage Artificiel (DAPA)Invited Professor
2000 -- 2013University of TsukubaInstitute of Policy and Planning SciencesAssociate Professor
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Academic background
-- 1994Hokkaido University Graduate School, Division of Engineering 情報工学
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)
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, 2017-2025; 評議員, 2019-2025）
2007 -- 2008Member of External Expert Committee to the CS Panel (Research Foundation of City University of New York, USA)
2015 -- 2016南オーストラリア大学 (University of South Australia, Australia) (博士学位審査員)
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Honors & Awards
2023-09-08Long Service Award For Keynote presentations and Evolving & Chairing Invited Sessions in the field of Intelligent systems in the KES ConferencesMika Sato-Ilic, Long Service For Keynote presentations and Evolving & Chairing Invited Sessions in the field of Intelligent systems in the KES International Conferences, KES2023, Athens, Greece, 2023
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
  • A Fuzzy Cluster-Scaled Principal Component Analysis for Mixed High-Dimension and Low-Sample Size Data
    SATO-ILIC Mika
    25th International Conference on Computational Statistics, 2023
  • Principal component analysis for mixed high-dimension low-sample size data based on fuzzy-cluster scale
    SATO-ILIC Mika
    16th International Conference of the ERCIM WG on Computational and Methodological Statistics and 17th International Conference on Computational and Financial Econometrics, 2023
  • Fuzzy Clustering based Classifier for Extraction of Individualities from High Dimension Low Sample Size Data
    Sato-Ilic Mika
    INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS/17(1)/pp.127-138, 2023
  • Fuzzy Cluster-Scaled Principal Component Analysis for Mixed Data and Its Application of Educational Effect based on Device Selection
    Sato-Ilic Mika; Ilic Peter
    Procedia Computer Science, Elsevier/225/pp.2402-2411, 2023-09
  • Difference on Evaluation Scores Considering Image Descriptions for Autocoding
    Toko Yukako; Sato-Ilic Mika
    Romanian Statistical Review/1/pp.27-42, 2024-03
  • Hierarchical Support Vector Machine based Classifier for Autocoding
    Toko Yukako; Sato-Ilic Mika
    Procedia Computer Science, Elsevier/225/pp.2733-2742, 2023-09
  • Clustering and Multidimensional Scaling for Individual Difference Extraction
    Sato-Ilic Mika
    The 4th International Conference on Statistics: Theory and Applications/pp.162-1-162-8, 2022-07
  • Improvement of Model Construction based on Reliability Scores of Objects for Autocoding
    Toko Yukako; Sato-Ilic Mika; Takayuki Sasajima
    Romanian Statistical Review/1(1)/pp.34-48, 2023
  • Fuzzy Clustering based Autocoding Methods for Family Income and Expenditure Surveys
    Toko Yukako; Sato-Ilic Mika
    Conference on New Techniques and Technologies for Official Statistics/pp.404-408, 2023
  • Improvement of Training Data for Autocoding on "The National Survey of Family Income, Consumption and Wealth" and "The Family Income and Expenditure Survey"
    Toko Yukako; Sato-Ilic Mika
    日本分類学会第42回大会予稿集/pp.49-52, 2023
  • Deep Learning Method for Imbalanced Image Data Considering Reduction of Dimensionality by Multidimensional Scaling
    Takamura Shojiro; Sato-Ilic Mika
    IASC-ARS Interim Conference 2022 - The Interplay between Statistical Computing and Artificial Intelligence/pp.45-46, 2022-12
  • Fuzzy Clustering based Support Vector Machine for Autocoding and Interpretation of Results
    Toko Yukako; Sato-Ilic Mika
    IASC-ARS Interim Conference 2022 - The Interplay between Statistical Computing and Artificial Intelligence/pp.43-44, 2022-12
  • Deep learning method considering computational efficiency by multidimensional scaling
    高村 昇二郎; イリチユ 美佳
    Proceedings of 41st Japanese Classification Society Annual Research Meeting/pp.54-57, 2022-06
  • Identification of Cancer Type using Support-Vector Machine based on Fuzzy Clustering
    加藤 優友; イリチユ 美佳
    38th Fuzzy System Symposium/pp.431-434, 2022-09
  • Detection of Difference between Data based on Cluster Scale and Its Application to Market Data
    本多 拓朗; イリチユ 美佳
    38th Fuzzy System Symposium/pp.788-790, 2022-09
  • Cluster-based Analysis for Discrimination of Individuality
    Sato-Ilic Mika
    Global Summit and Expo on Robot Intelligence Technology and Applications2022, 2022/09/19
  • Fuzzy Cluster-Scaled Principal Component Analysis for High-Dimension Low-Sample Data
    Sato-Ilic Mika
    The 24th International Conference on Computational Statistics, 2022-08-23
  • Individuality-based Fuzzy Cluster-Scaled Principal Component Analysis for High-Dimension Low-Sample Data
    Sato-Ilic Mika
    15th International Conference of the ERCIM WG on Computational and Methodological Statistics and 16th International Conference on Computational and Financial Econometrics, 2022-12-17
  • Improvement of Model Construction based on Reliability Scores of Objects for Autocoding
    Toko Yukako; Sato-Ilic Mika
    The Annual Conference on the Use of R in Official Statistics (10th International Conference: uRos2022), 2022-12-06
  • Cluster-scaled principal component analysis
    Sato-Ilic Mika
    WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS/Epub/pp.1-13, 2021-10
  • Indicator for Individuality of Subjects Based on Similarity of Objects
    Sato-Ilic Mika
    Procedia Computer Science/185/pp.193-202, 2021-06
  • Autocoding based Multi-Class Support Vector Machine by Fuzzy c-Means
    Yukako Toko; Sato-Ilic Mika
    Romanian Statistical Review/1/pp.27-39, 2022-03
  • Efficient Autocoding Method in High Dimensional Space
    Toko Yukako; Sato-Ilic Mika
    Romanian Statistical Review/1/pp.3-16, 2021-03
  • A Classification Method Based on Ensemble Learning of Deep Learning and Multidimensional Scaling
    Miyazawa Kazuya; Sato-Ilic Mika
    Intelligent Decision Technologies, Smart Innovation, Systems and Technologies/238/pp.379-390, 2021-06
  • Individual Difference Assessment Method Based on Cluster Scale Using a Data Reduction Method
    Nitta Kazuki; Sato-Ilic Mika
    Intelligent Decision Technologies, Smart Innovation, Systems and Technologies/238/pp.415-426, 2021-06
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Books
  • Clustering-based Scaling for Healthcare Data (Chapter 9)
    Sato-Ilic Mika
    Handbook on Artificial Intelligence-empowered Applied Software Engineering: VOL.2: Smart Software Applications in Cyber-Physical Systems/Springer/pp.147-165, 2022-10
  • Advances in Fuzzy Clustering Used in Indicator for Individuality (Chapter 4)
    Sato-Ilic Mika
    Advances in Selected Artificial Intelligence Areas – World Outstanding Women in Artificial Intelligence -/Springer/pp.57-75, 2022-03
  • Fuzzy Clustering Models and Their Related Concepts
    Sato-Ilic Mika
    Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications/Springer/pp.123-134, 2020
  • 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
  • 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
  • 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; 羽田野祐子; +イリチユ 美佳
    コロナ社, 2009-05
  • Computational Intelligence Paradigms
    L.C. Jain; M. Sato-Ilic; M. Virvou; G.A. Tsihrintzis; V.E...
    Springer-Verlag Berlin Heidelberg, 2008-04
  • 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
  • Innovations in Intelligent Machines 1
    J.S. Chahl; L.C. Jain; A. Mizutani; and M. Sato-Ilic; +イリ...
    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
  • 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
  • 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
  • Innovations in Fuzzy Clustering
    M. Sato-Ilic; L.C. Jain
    Springer-Verlag, 2006-01
  • 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
  • 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
  • Fuzzy Clustering Models and Applications
    M. Sato; Y. Sato; L.C. Jain; +イリチユ 美佳
    Springer-Verlag, 1997-01
Conference, etc.
  • 収支項目分類符号の自動付与における分類手法に関する研究
    イリチユ 美佳
    第15回共同研究報告会・第189回研究報告会（総務省 統計研究研修所主催）/2024-03-28
  • Principal component analysis for mixed high-dimension low-sample size data based on fuzzy-cluster scale（招待講演）
    Sato-Ilic Mika
    16th International Conference of the ERCIM WG on Computational and Methodological Statistics and 17th International Conference on Computational and Financial Econometrics/2023-12-16--2023-12-18
  • A Fuzzy Cluster-Scaled Principal Component Analysis for Mixed High-Dimension and Low-Sample Size Data
    Sato-Ilic Mika
    25th International Conference on Computational Statistics/2023-08-22--2023-08-25
  • Fuzzy Cluster-Scaled Principal Component Analysis for Mixed Data and Its Application of Educational Effect based on Device Selection
    Sato-Ilic Mika; Ilic Peter
    27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems/2023-09-06--2023-09-08
  • Difference on Evaluation Scores Considering Image Descriptions for Autocoding
    Toko Yukako; Sato-Ilic Mika
    The Annual Conference on the Use of R in Official Statistics (11th International Conference: uRos2023)/2023-12-12--2023-12-14
  • Hierarchical Support Vector Machine based Classifier for Autocoding
    Toko Yukako; Sato-Ilic Mika
    27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems/2023-09-06--2023-09-08
  • Improvement of Training Data for Autocoding on "The National Survey of Family Income, Consumption and Wealth" and "The Family Income and Expenditure Survey"
    床 裕佳子; イリチユ 美佳
    日本分類学会第42回大会予稿集, 49-52/2023-05-27--2023-05-28
  • Fuzzy Clustering based Autocoding Methods for Family Income and Expenditure Surveys
    Toko Yukako; Sato-Ilic Mika
    Conference on New Techniques and Technologies for Official Statistics/2023-03-07--2023-03-09
  • Fuzzy Clustering based Autocoding Methods for Family Income and Expenditure Surveys
    Toko Yukako; Sato-Ilic Mika
    Conference on New Techniques and Technologies for Official Statistics/2023-03-06--2023-03-10
  • Individuality-based Fuzzy Cluster-Scaled Principal Component Analysis for High-Dimension Low-Sample Data
    Sato-Ilic Mika
    15th International Conference of the ERCIM WG on Computational and Methodological Statistics and 16th International Conference on Computational and Financial Econometrics/2022-12-17--2022-12-19
  • Cluster-based Analysis for Discrimination of Individuality
    Sato-Ilic Mika
    Global Summit and Expo on Robot Intelligence Technology and Applications2022/2022/09/19--2022/09/21
  • Fuzzy Clustering based Support Vector Machine for Autocoding and Interpretation of Results
    Toko Yukako; Sato-Ilic Mika
    IASC-ARS Interim Conference 2022 - The Interplay between Statistical Computing and Artificial Intelligence/2022-12-12--2022-12-13
  • Deep Learning Method for Imbalanced Image Data Considering Reduction of Dimensionality by Multidimensional Scaling
    Takamura Shojiro; Sato-Ilic Mika
    IASC-ARS Interim Conference 2022 - The Interplay between Statistical Computing and Artificial Intelligence/2022-12-12--2022-12-13
  • Improvement of Model Construction based on Reliability Scores of Objects for Autocoding
    Toko Yukako; Sato-Ilic Mika
    The Annual Conference on the Use of R in Official Statistics (10th International Conference: uRos2022)/2022-12-06--2022-12-08
  • Detection of Difference between Data based on Cluster Scale and Its Application to Market Data
    本多 拓朗; イリチユ 美佳
    38th Fuzzy System Symposium/2022-09-14--2022-09-16
  • Identification of Cancer Type using Support-Vector Machine based on Fuzzy Clustering
    加藤 優友; イリチユ 美佳
    38th Fuzzy System Symposium/2022-09-14--2022-09-16
  • Fuzzy Cluster-Scaled Principal Component Analysis for High-Dimension Low-Sample Data
    Sato-Ilic Mika
    The 24th International Conference on Computational Statistics/2022-08-23--2022-08-26
  • Clustering and Multidimensional Scaling for Individual Difference Extraction
    Sato-Ilic Mika
    The 4th International Conference on Statistics: Theory and Applications/2022/07/28--2022/07/30
  • Deep learning method considering computational efficiency by multidimensional scaling
    高村 昇二郎; イリチユ 美佳
    41st Japanese Classification Society Annual Research Meeting/2022-06-04--2022-06-05
  • Discrimination of the Labeled High-Dimension Low-Sample Data for Healthcare
    Sato-Ilic Mika
    International Conference on FIM-IMIP-UMSO/2021/12/26--2021/12/28
  • Fusion of Statistical and Computational Thinking and Its Application to Fuzzy Cluster-Scaled Statistical Analysis
    Sato-Ilic Mika
    International Conference on FIM-IMIP-UMSO/2021/12/26--2021/12/28
  • Cluster-Scaled Statistical Data Science
    Sato-Ilic Mika
    5th International Conference on Computational Intelligence, Cyber Security and Computational Models (ICC3)/2021/12/16--2021/12/18
  • Weighted Regression Analysis for Interval-Valued Compositional Data
    藤本 聖; イリチユ 美佳
    Japanese Classification Society Symposium 2021/2021/12--2021/12
  • Autocoding based on Multi-Class Support Vector Machine by Fuzzy c-means Method
    Yukako Toko; Sato-Ilic Mika
    The annual conference on the Use of R in Official Statistics/2021/11/24--2021/11/26
  • Principal Component Analysis for Fuzzy Interval-Valued Data
    益居 秀; イリチユ 美佳
    The 37th Fuzzy System Symposium/2021/09/13--2021/09/15
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Teaching
2024-10 -- 2025-02Special Graduation Thesis in Policy and Planning SciencesUniversity of Tsukuba.
2024-04 -- 2024-08Special Graduation Thesis in Policy and Planning SciencesUniversity of Tsukuba.
2024-10 -- 2025-03Independent Study BUniversity of Tsukuba.
2024-10 -- 2025-02Advanced Seminar in Risk EngineeringUniversity of Tsukuba.
2024-04 -- 2024-08Advanced Seminar in Risk EngineeringUniversity of Tsukuba.
2024-04 -- 2024-08Internship A in Risk and Resilience Engineering in Doctoral ProgramUniversity of Tsukuba.
2024-10 -- 2025-02Internship A in Risk and Resilience Engineering in Doctoral ProgramUniversity of Tsukuba.
2024-10 -- 2025-02Risk Case StudyUniversity of Tsukuba.
2024-04 -- 2024-08Risk Case StudyUniversity of Tsukuba.
2024-10 -- 2025-03Graduation Thesis in Policy and Planning Sciences AUniversity of Tsukuba.
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Other educational activities
2023-04 -- 2025-03筑波大学早期修了プログラム運営委員会委員
2023-04 -- 2024-03筑波大学アドミッションセンター専門委員
2023-04 -- 2024-03筑波大学ハラスメント相談員
2023-04 -- 2024-03システム情報工学研究群早期修了プログラム実施委員会副委員長
2023-04 -- 2024-03システム情報工学研究群入試実施委員会委員
2023-04 -- 2024-03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
2023-04 -- 2024-03リスク・レジリエンス工学学位プログラム入試委員会委員長
2023-04 -- 2024-03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
2023-04 -- 2024-03理工学群社会工学類学生担当教員
2023-04 -- 2024-03理工学群社会工学類入試実施委員会委員
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Talks
  • データサイエンスにおける機械学習とその発展
    イリチユ 美佳
    第６回DSの世界、⽴正⼤学データサイエンス学部/2021/11/13--2021/11/13
  • 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
  • On A Multidimensional Cluster Scaling
    イリチユ 美佳
    CAS2014/2014-11
  • 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)
Professional activities
2023-12 -- 2024-11Cabinet Office, Gov. of Japan令和6年公認会計士試験試験委員
2023-04 -- (current)Japanese Federation of Statistical Science Associations事業委員会委員
2023-04 -- (current)Japanese Federation of Statistical Science AssociationsJJSD運営委員会委員
2022-12 -- 2023-11Cabinet Office, Gov. of Japan令和5年公認会計士試験試験委員
2022-02 -- (current)the IEEE Computational Intelligence SocietyMember of the 2022 IEEE CIS Fuzzy Systems Pioneer Award Sub-Committee
2021-01 -- (current)Institute of Electrical and Electronics Engineers (IEEE)Special Session Chair of the IEEE World Congress on Computational Intelligence (WCCI) 2024
2022-01 -- (current)the IEEE Computational Intelligence SocietyVice Chair for Research of Fuzzy Systems Technical Committee (ファジィシステム技術委員会副委員長) of the IEEE Computational Intelligence Society
2021-12 -- 2022-11Cabinet Office, Gov. of Japan令和4年公認会計士試験試験委員
2022-04 -- 2023-03独立行政法人統計センター特別参与
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
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University Management
2023-04 -- 2024-03リスク・レジリエンス工学学位プログラム入試委員会委員長
2023-04 -- 2024-03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
2023-04 -- 2024-03システム情報工学研究群早期修了プログラム実施委員会副委員長
2023-04 -- 2024-03筑波大学 ハラスメント相談員相談員
2023-04 -- 2024-03筑波大学アドミッションセンター専門委員委員
2023-04 -- 2024-03筑波大学 早期修了プログラム運営委員会委員
2023-04 -- 2024-03システム情報工学研究群 入試実施委員会委員
2023-04 -- 2024-03理工学群社会工学類学生担当教員学生担当
2023-04 -- 2024-03理工学群社会工学類入試実施委員会委員
2022-04 -- 2023-03リスク・レジリエンス工学学位プログラム 達成度評価委員会委員長
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(Last updated: 2024-11-01)