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John W. van de Lindt

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

176

TOTAL CITATIONS

1

Scholarly Papers (3)

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1.

Integrated Decision-Support Framework for Enhancing Coastal Community Resilience Against Hurricane-Induced Hazards

Number of pages: 27 Posted: 24 Nov 2025
Kooshan Amini, Tanmoy Palit, Abigail L. Beck, Jayant Patil, Tao Lu, Himadri Sen Gupta, Jamie E. Padgett, Yousef M. Darestani, Andres D. Gonzalez, Harvey S. Cutler, Leonardo Dueñas-Osorio, Omar Nofal, John W. van de Lindt, Nathanael Rosenheim, Elaina J. Sutley and Eun Jeong Cha
Rice University, University of Oklahoma, University of Houston, Rice University, affiliation not provided to SSRN, Colorado State University, Pueblo, Rice University - Department of Civil and Environmental Engineering, Michigan Technological University, University of Oklahoma, Colorado State University, Fort Collins - Department of Economics, Rice University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Kansas and University of Illinois at Urbana-Champaign
Downloads 127 (572,948)
Citation 1

Abstract:

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coastal resilience, hurricane, Multi-Hazard, multi-objective optimization, decision-support framework, socio-physical systems

2.

What Really Matters for Automated Tornado Damage Assessment? Evidence from 2,300 Experiments Across 79 Open-Source Architectures with Cross-Event Generalization

Number of pages: 49 Posted: 09 Mar 2026
Robinson Umeike, Thang Dao, Shane Crawford, John W. van de Lindt, Blythe Johnston, Wanting (Lisa) Wang, Trung Do, Ajibola Mofikoya, Sarbesh Banjara and Cuong Pham
The University of Alabama, University of Alabama, The University of Alabama, affiliation not provided to SSRN, Government of the United States of America - Argonne National Laboratory, Old Dominion University, University of South Alabama, The University of Alabama, The University of Alabama and University of South Alabama
Downloads 36 (1,332,057)

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Deep Learning, Automated Damage Assessment, Vision transformers, Convolutional Neural Networks, Cross-Event Generalisation, Disaster Management

3.

TornadoNet: Real-Time Building Damage Detection with Ordinal Supervision

Number of pages: 33 Posted: 27 Apr 2026
Robinson Umeike, Cuong Pham, Ryan Hausen, Thang Dao, Shane Crawford, Tanya Brown-Giammanco, Gerard Lemson, John W. van de Lindt, Blythe Johnston, Arik Mitschang and Trung Do
The University of Alabama, University of South Alabama, Johns Hopkins University, University of Alabama, The University of Alabama, Government of the United States of America - National Institute of Standards and Technology, Johns Hopkins University Institute of Data Intensive Engineering and Science, affiliation not provided to SSRN, affiliation not provided to SSRN, Johns Hopkins University and University of South Alabama
Downloads 13 (1,541,665)

Abstract:

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Post-disaster Damage Assessment, Building damage detection, Ordinal Classification, object detection, Deep learning, Disaster resilience