Researchers

KASHIMA Tomoko

KASHIMA Tomoko: Associate Professor

Faculty	Department of Informatics / Graduate School of System Engineering / Fundamental Technology for Next Generation Research Institute
Researchmap	https://researchmap.jp/kashima

Education and Career

Education

2007/04 - 2010/03 , Osaka University, Graduate School of Information Science and Technology,

Academic & Professional Experience

Apr. 2022 , Kindai University Faculty of Engineering Department of Informatics 准教授
Apr. 2013 , Kindai University Faculty of Engineering Department of Informatics 講師
Apr. 2010 , Kindai University Faculty of Engineering Department of Informatics 助教

Research Activities

Research Areas

Informatics , Mathematical informatics
Informatics , Learning support systems
Humanities & social sciences , Design

Research Interests

社会システム工学, 地産地消, 農業情報, 教育工学, プログラミング教育, デザイン学

Published Papers

A Regional Digital Transformation System for Enhancing Local Vegetable Supply in School Lunches
Tomoko Kashima; Takashi Hasuike; Shimpei Matsumoto
IIAI Letters on Business and Decision Science 5 , 1-7, Oct. 2025 , Refereed
Interactive Evolutionary Computation with Constraint Agents for Multi-person Menu Planning Optimization
武石光平; 染谷博司; 折登由希子; 加島智子
電気学会論文誌 C 142 (6) 2022
GAs with Escape from Stagnation of Search for Multiset Iteration Permutations Problem — Consecutive Meals Planning —
Tomoko Kashima; Yukiko Orito; Hiroshi Someya
IEEJ Transactions on Electronics, Information and Systems 141 (10) , 1087-1100, 1, Oct. 2021 , Refereed

Possibility of Utilising Information Technology to Promote Local Production for Local Consumption of Agricultural Products and Future Challenges , Kashima, Tomoko; Hasuike, Takashi; Matsumoto, Shimpei , Springer Nature Singapore , Jun. 2023
Pre- and Post-survey of the Achievement Result of Novice Programming Learners - On the Basis of the Scores of Puzzle-Like Programming Game and Exams After Learning the Basic of Programming , Tomoya Iwamoto; Shimpei Matsumo; Shuichi Yamagishi; Tomoko Kashima , Springer , Oct. 2019
A Practical Study on the Information Sharing System for Producers , Tomoko Kashima; Shimpei Matsumoto; Takashi Hasuike , Springer , Jun. 2019

個別最適化に基づいたプログラミング学習支援システムの開発と評価 , JIAQI FAN; 加島智子 , 電気学会電子・情報・システム部門大会 , 26, Aug. 2026
再構成型プログラミング学習支援システムの再構築とスマートフォン対応 , 松本慎平; 岩井健吾; 高松邦彦; 近藤伸彦; 蓮池隆; 加島智子; 本田直也; 山口琢; 大場みち子 , 電気学会電子・情報・システム部門大会 , 26, Aug. 2026
Digital Support Systems for Linking School Lunch Programs and Local Agriculture: An Integrative Framework and Operational Data Foundation , Tomoko Kashima; Takashi Hasuike; Shimpei Matsumoto , 20th IIAI International Congress on Advanced Applied Informatics , 15, Jul. 2026

THE UPSTREAM BORDER Artificial Intelligence and the Unbundling of Economic Sovereignty , Johan Van Rooyen; Tomoko Kashima , Sep. 2026
Summary:International trade law and economic sovereignty developed around a physical convention: economically valuable transactions became legible when goods crossed territorial borders. Artificial intelligence weakens this convention by separating technical quantity, commercial value, compute location, technology ownership, physical resource use, customer location, and rent capture. This paper develops a conceptual framework for what is termed the upstream border: the migration of sovereign leverage away from the final digital output and toward the physical, legal, and institutional layers required to produce it.The paper advances six related propositions. First, Japan retains disproportionate leverage in selected semiconductor materials and equipment despite limited ownership of frontier AI models. Second, the July 2023 tightening of Japanese semiconductor-equipment export controls is associated with a compositional shift in exports to China toward mature-node and uncontrolled tools. Third, AI scale-up makes electricity, cooling water, grid connections, and land increasingly binding location constraints. Fourth, generative AI converts apparently intangible computation into a thermodynamic infrastructure problem. Fifth, low-cost power jurisdictions in Central Asia can become compute enclaves, but headline investment need not translate into commensurate domestic value capture. Sixth, AI-era state power is functionally distributed across model architecture, fabrication, upstream inputs, regulation, energy hosting, and market access rather than concentrated in a single sovereign stack.The empirical material is comparative and illustrative rather than causal. Cases include Thailand, Japan, the United States, China, Kazakhstan, Uzbekistan, Taiwan, the Netherlands, and South Korea. The central claim is not that borders disappear. Rather, the final AI output becomes less territorially legible while strategic control migrates upstream to semiconductor inputs, fabrication capacity, grid access, energy, land, taxation, licensing, regulation, and social license. Economic sovereignty therefore becomes distributed, overlapping, and increasingly dependent on asymmetric substitutability and switching time.
The Significance of Real-Time Monitoring in a Programming Learning Support System Based on Component Recomposition , 松本慎平; 岩井健吾; 高松邦彦; 近藤伸彦; 蓮池隆; 加島智子; 本田直也; 山口琢; 大場みち子 , 電気学会研究会資料(Web) , IS-26-028-047 , 2026
Design of a Sustainable Regional Food System through Integrated Optimization of School Lunch Menus and Agricultural Production Planning , 加島智子; 蓮池隆; 松本慎平 , 電気学会研究会資料(Web) , IS-26-028-047 , 2026

Aug. 2026, 一般社団法人電気学会, 2025年電子・情報・システム部門査読促進賞
Mar. 2018, International Symposium on Artificial Intelligence, Best Paper Award
Jul. 2014, 2014 IEEE SMC Hiroshima Chapter, ソフトウェアコンテスト佳作

日本学術振興会, 科学研究費助成事業, 持続可能な地産地消を実現する給食献立作成と農産物生産計画の同時最適化 , 早稲田大学
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Real-Time Feedback in a Card Operation-Based Programming Learning Support System , Hiroshima Institute of Technology
日本学術振興会, 科学研究費助成事業, 持続可能な地産地消を実現する農産物流通システムの開発 , 早稲田大学