Author

Mohamed Ayman

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Open access Jul 2026

A hybrid experimental and machine learning framework for designing and predicting compressive strength of ultra-high-performance concrete

Ultra-high-performance concrete (UHPC) offers exceptional mechanical and durability properties but often relies on quartz powder, raising sustainability and occupational health concerns. This study introduces an integrated experimental-computational framework for predicting the compressive strength of UHPC and developi...

Mohamed Ayman, Amr Elnemr · Scientific Reports · 0 citations

Preprint Aug 2026

Multi-Agent Off-Policy Deep Reinforcement Learning for Smart Campus Coverage

Numerical evaluations reveal that the multi-agent DDPG approach substantially outperforms single-agent in dense scenarios, and the multi-agent demonstrates highly efficient computational convergence of dense scenarios with $400$ users.

Omar Rady, Mohamed Ayman, Ali Arafa et al. · 0 citations