Author

Mahmoud Ashraf

Observed name: Ashraf, Mahmoud

Observed institutions: British University in Egypt, University of Pittsburgh, Egypt-Japan University of Science and Technology, Egypt University of Informatics, Alexandria University

ORCID: 0000-0002-5617-3213

Observed ORCID: 0000-0002-5617-3213

OpenAlex ID: A5012087944

Disruption detection for a cognitive digital supply chain twin using hybrid deep learning

2024 · Mahmoud Ashraf, Amr Eltawil, et al. · Operational Research · 50

A hybrid deep learning-based approach for disruption detection and recovery planning in a prototype cognitive digital supply chain twin

2025 · Mahmoud Ashraf, Islam Ali, et al. · Expert Systems with Applications · 20

Unveiling degradation patterns in dye-sensitized solar cells: a machine learning perspective

2025 · Ahmet Sait Alali, Mahmoud Ashraf, et al. · Scientific Reports · 14

Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks

2025 · Zahraa Ismail, Ahmet Sait Alali, et al. · IEEE Access · 14

Evaluation of project completion time prediction accuracy in a disrupted blockchain-enabled project-based supply chain

2022 · Mahmoud Ashraf, Islam Ali · International Journal of Systems Science Operations & Logistics · 14

Time-To-Recovery Prediction in a Disrupted Three-Echelon Supply Chain Using LSTM*

2022 · Mahmoud Ashraf, Amr Eltawil, et al. · IFAC-PapersOnLine · 13

PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms

2025 · Ali, Shady, Ashraf, Mahmoud, et al. · arXiv (Cornell University) · 4

Flash RNN-T: Memory-Efficient Joint Network and Transducer Loss Computation

2026 · Ashraf, Mahmoud · arXiv (Cornell University)

Machine Learning Approaches on the Performance of Dye Sensitized Solar Cells

2026 · Mahmoud Ashraf, Sameh O. Abdellatif · Wiley eBooks

Works count: 9

Citation count: 129

H-index: 6

I10-index: 6