Himadri Sen Gupta
Biographic Data
| ID | 9720388 |
|---|---|
| NAME | Himadri Sen Gupta |
| GIVEN NAMES | Himadri Sen |
| FAMILY NAME | Gupta |
| SIGNATURE | GUPTA H S |
| AFFILIATIONS | University of Oklahoma |
| ORCID | 0000-0003-0765-8895 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Integrated decision-support framework for enhancing coastal community resilience against hurricane-induced hazards
Coastal communities face escalating threats from hurricanes, necessitating a shift from descriptive risk assessment to prescriptive, optimized portfolio planning to enhance resilience. This study introduces an integrated decision-support framework that couples high-fidelity, multihazard socio-physical system modeling with a multi-objective optimization model. The framework quantifies the cascading impacts of hurricane-induced wind, storm surge, a…
A decision-support framework for fair building retrofit allocation under multi-hazard risk
Hazard mitigation planning often misses distributional effects, producing unequal outcomes for vulnerable groups. We present a building-level, multi-objective optimization framework that treats equity as a first-class objective alongside efficiency. Equity is measured with the decomposable Theil index, which summarizes how unevenly mitigation resources are distributed across demographic and housing categories. Efficiency objectives are expected e…
Calibrated geo-social link prediction for household–school connectivity in community resilience
Machine Learning-Based Prediction of Optimal Building-Level Flood Mitigation Strategies in At-Risk Communities
Flood-prone communities face severe economic and structural losses, necessitating strategic building retrofitting to enhance resilience. However, selecting the most effective mitigation strategies remains challenging due to financial constraints and the varying characteristics of at-risk buildings. While previous studies have explored optimization and machine learning separately for flood mitigation, there is a need for a more integrated approach…
Multi-objective optimization of mitigation strategies for buildings subject to multiple hazards
No prominent works on this page.
Multi-objective optimization of mitigation strategies for buildings subject to multiple hazards
Calibrated geo-social link prediction for household–school connectivity in community resilience
Machine Learning-Based Prediction of Optimal Building-Level Flood Mitigation Strategies in At-Risk Communities
Flood-prone communities face severe economic and structural losses, necessitating strategic building retrofitting to enhance resilience. However, selecting the most effective mitigation strategies remains challenging due to financial constraints and the varying characteristics of at-risk buildings. While previous studies have explored optimization and machine learning separately for flood mitigation, there is a need for a more integrated approach…
Integrated decision-support framework for enhancing coastal community resilience against hurricane-induced hazards
Coastal communities face escalating threats from hurricanes, necessitating a shift from descriptive risk assessment to prescriptive, optimized portfolio planning to enhance resilience. This study introduces an integrated decision-support framework that couples high-fidelity, multihazard socio-physical system modeling with a multi-objective optimization model. The framework quantifies the cascading impacts of hurricane-induced wind, storm surge, a…
A decision-support framework for fair building retrofit allocation under multi-hazard risk
Hazard mitigation planning often misses distributional effects, producing unequal outcomes for vulnerable groups. We present a building-level, multi-objective optimization framework that treats equity as a first-class objective alongside efficiency. Equity is measured with the decomposable Theil index, which summarizes how unevenly mitigation resources are distributed across demographic and housing categories. Efficiency objectives are expected e…
Infrastructure Resilience and Vulnerability Analysis (3 works) · Computer Science (2 works) · Disaster Management and Resilience (2 works) · Engineering (2 works) · Flood Risk Assessment and Management (2 works) · Multi-objective optimization (2 works) · Tropical and Extratropical Cyclones Research (2 works) · Advanced Graph Neural Networks (1 work) · Bipartite graph (1 work) · Business (1 work)