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W. El-Sekelly

4 papers hereh-index 14574 citations76 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • eess.SP1

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators

4 papers

cs.LG2026

Adaptive Distance-Aware Trunk Deep Operator Learning for Long-Span Roadway Bridges

Bilal Ahmed, Diab W. Abueidda, Waleed El-Sekelly +2

Long-span roadway bridges exhibit highly localized structural responses under vehicular loading, making repeated FE analysis computationally expensive for applications such as infl…

cs.LG2025

Physics-informed Multiple-Input Operators for efficient dynamic response prediction of structures

Bilal Ahmed, Yuqing Qiu, Diab W. Abueidda +3

Finite element (FE) modeling is essential for structural analysis but remains computationally intensive, especially under dynamic loading. While operator learning models have shown…

eess.SP2024

Damage identification for bridges using machine learning: Development and application to KW51 bridge

Yuqing Qiu, Bilal Ahmed, Diab W. Abueidda +6

The available tools for damage identification in civil engineering structures are known to be computationally expensive and data-demanding. This paper proposes a comprehensive mach…

cs.LG2024

Physics-informed DeepONet with stiffness-based loss functions for structural response prediction

Bilal Ahmed, Yuqing Qiu, Diab W. Abueidda +4

Finite element modeling is a well-established tool for structural analysis, yet modeling complex structures often requires extensive pre-processing, significant analysis effort, an…

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