Shiori Sasaki is an associate professor of the Faculty of Data Science, Musashino University, Japan. She had been a lecturer (2004-2007), a project assistant professor (2007-2014) and a project associate professor (2014-2022) of Global Environmental System Leaders program (GESL) adopted by Ministry of Education (MEXT) in Graduate School of Media and Governance, Keio University. She received her M.A. degree in Law & Politics in 1998 and Ph. D. degree in Media and Governance in 2010 from Keio University. She is currently involved in several international research projects in the Faculty of Data Science, Musashino University. Her research interests include Knowledge base Creation, Multimedia Databases, Geographical Information Visualization, Cross-Cultural Communication and their application to the field of global environment analysis.
研究キーワード
5D World Map System
,地理情報システム
,クロス・カルチュラル・コンピューティング
,サイバーフィジカルシステム
,IoT
,人工知能
,知識共有
,環境政策
,地球環境
,時空間
,データベース
,マルチメディア
研究分野
情報通信 / データベース /
経歴
2018年4月
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現在
武蔵野大学 データサイエンス学部 データサイエンス学科 准教授 博士(政策・メディア)
2015年5月
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2022年3月
慶應義塾大学 政策・メディア研究科 特任准教授 博士(政策・メディア)
2014年5月
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2015年4月
Chulalongkorn University Faculty of Science, Department of Imaging and Printing Technology Visiting Researcher
IEEE International Conference on Awareness Science and Technology (iCAST) Program Committee member
2018年11月
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現在
International Symposium on Web and Wireless Geographical Information Systems (W2GIS) Program Committee member
2018年10月
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現在
日本データベース学会 理事
2015年12月
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現在
International Conference on Information Modelling and Knowledge Bases (EJC) Program Committee member
2015年11月
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現在
East-European Conference on Advances in Databases and Information Systems (ADBIS) Program Committee member
受賞
2022年8月
International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC2022), Best Paper Award,A Multilayered Analytical Visualization Method for assessing Forest-Urban-Disaster ResilienceAmane Hamano Shiori Sasaki
International Journal on Advanced Science, Engineering and Information Technology 7(2) 676-687 2017年 [査読有り]
Deforestation is still a major nature phenomenon in our society. For assessing deforestation effect, satellites remote sensing provides a fundamental data for observation. While new remote-sensing technologies are able to represent high-resolution...
INFORMATION MODELLING AND KNOWLEDGE BASES XXVIII 292 43-62 2017年 [査読有り]
The multi-dimensional analysis is a promising approach to a new interpreting of environments by ground of the value-information and language-information on intellectual activities in various environment meanings to society. This paper presents a n...
INFORMATION MODELLING AND KNOWLEDGE BASES XXVIII 292 106-122 2017年 [査読有り]
In the design of multimedia data mining systems, one of the most important issues is how to search and analyze media data, according to contexts. We have introduced a semantic associative search method based on our "Mathematical Model of Meaning (...
INFORMATION MODELLING AND KNOWLEDGE BASES XXVIII 292 258-273 2017年 [査読有り]
Human-microbiome-relations extraction is important for analyzing the effects on human gut microbiome from the difference of human attributes such as country, sex, age and so on. Human gut microbiome, a set of bacteria, provides various pathologica...
INFORMATION MODELLING AND KNOWLEDGE BASES XXVIII 292 314-333 2017年 [査読有り]
Multispectral image becomes widely used for environmental analysis to detect an object or phenomena that human eyes cannot capture. One of the main type of images acquired by remote sensing such as satellite or aircraft for earth observation. This...