Celal Cakiroglu

Assistant Professor

Eastern Michigan University

United States

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Dr. Celal Cakiroglu is an Assistant Professor at Eastern Michigan University in the United States. His research areas include structural engineering, machine learning applications in materials science, and damage assessment using satellite imagery. Recent publications focus on predictive modeling of composite materials, fatigue resistance in structural elements, and data-driven approaches for assessing concrete and wind turbine performance.

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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2024

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2024

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2024

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2024

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2023

Collaborators (3)

Sanghun Kim

Associate Professor of Instruction

Temple University

UNITED STATES

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Sercan Demir

Assistant Professor of Operations Management

Northumbria University

UNITED KINGDOM

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Zong Woo Geem

SOUTH KOREA

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Celal Cakiroglu

Research Interests

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Articles (10)

Fire Resistance Prediction in FRP-Strengthened Structural Elements: Application of Advanced Modeling and Data Augmentation Techniques

Rapid damage assessment using satellite images after hurricane harvey with gradient boosting models

Fatigue Predictive Modeling of Composite Materials for Wind Turbine Blades Using Explainable Gradient Boosting Models

Tensile Strength Predictive Modeling of Natural-Fiber-Reinforced Recycled Aggregate Concrete Using Explainable Gradient Boosting Models

Explainable machine learning predictive model for mechanical strength of recycled ceramic tile-based concrete

Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis

Explainable Ensemble Learning and Multilayer Perceptron Modeling for Compressive Strength Prediction of Ultra-High-Performance Concrete

Cooling load prediction of a double-story terrace house using ensemble learning techniques and genetic programming with SHAP approach

Explainable ensemble learning predictive model for thermal conductivity of cement-based foam

Neural Network Predictive Models for Alkali-Activated Concrete Carbon Emission Using Metaheuristic Optimization Algorithms

Collaborators (3)

Sanghun Kim

Sercan Demir

Zong Woo Geem

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