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Novel Hybrid Methods for Accurate Shape Reconstruction: Advancing Theory and Computational Solutions

Research Project

Project/Area Number 24KF0221
Research Category

Grant-in-Aid for JSPS Fellows

Allocation TypeMulti-year Fund
Section外国
Review Section Basic Section 12040:Applied mathematics and statistics-related
Research InstitutionKanazawa University

Principal Investigator

木村 正人  金沢大学, 数物科学系, 教授 (70263358)

Co-Investigator(Kenkyū-buntansha) RABAGO JULIUS FERGY  金沢大学, 数物科学系, 外国人特別研究員
Project Period (FY) 2024-11-15 – 2027-03-31
Project Status Granted (Fiscal Year 2024)
Budget Amount *help
¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 2026: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 2025: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2024: ¥600,000 (Direct Cost: ¥600,000)
Outline of Research at the Start

The aim of this research is to effectively and accurately solve time-dependent inverse geometry problems. A variety of analytical approaches are expected to be useful for applications such as detecting tumor shapes and exploring geological resources, on both small and large scales.

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Published: 2024-11-22   Modified: 2025-03-21  

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