Reika Nomura

Assistant professor

Tohoku University

Japan

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Reika Nomura is an Assistant Professor at Tohoku University in Japan. Her research focuses on natural disaster prediction and optimization techniques, with recent articles examining rainfall-induced landslides, quantum annealing for topology optimization, and multihazard analysis of floods and tsunamis. She utilizes advanced computational methods, including surrogate models and the Material Point Method, to enhance large-scale simulations and evaluations of complex systems.

Articles (10)

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2024

Collaborators (5)

Donsub Rim

Assistant Professor

Washington University in St. Louis

UNITED STATES

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Yohei Miki

Associate Professor

The Univeristy of Tokyo

JAPAN

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Soma Hidano

Assistant professor

Tohoku University

JAPAN

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Randall LeVeque

Professor

University of Washington

UNITED STATES

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Akihiro Shibayama

Associate Professor

Tohoku University

JAPAN

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Reika Nomura

Research Interests

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Articles (10)

Rapid prediction of rainfall-induced landslides over a wide area aided by a simulation-based surrogate model

A novel design update framework for topology optimization with quantum annealing: Application to truss and continuum structures

An efficient Quantum Approximate Optimization Algorithm with fixed linear ramp schedule for truss structure optimization

B-spline-based material point method with dynamic load balancing technique for large-scale simulation

Integrated multihazard study combining qualitative and quantitative analyses of floods, landslides, and debris flows: A case study on the impacts of Typhoon Yun-Yeung on Iwaki City, Fukushima

Radial basis function-based surrogate computational homogenization for elastoplastic composites at finite strain

Sensitivity analysis on critical combinations of input parameters in DEM granular flow analysis

Speeding up MPM calculations in MPM-FEM hybrid method incorporating inconsistent domain decomposition patterns for solid and fluid phases

Comparative Performance of Scenario Superposition by Sequential Bayesian Update for Tsunami Risk Evaluation

Scenario Superposition Method for Real‐Time Tsunami Prediction Using a Bayesian Approach

Collaborators (5)

Donsub Rim

Yohei Miki

Soma Hidano

Randall LeVeque

Akihiro Shibayama

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