Author

Iman Seyedi

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Open access Sep 2026

Hybrid Optimization Framework for Closed-Loop Supply Chains: Embedding Neural Networks in Two-Stage Stochastic Programming

The model combines a neural network with Two-Stage Stochastic Programming (2SP) to handle demand uncertainty and significantly improves strategic and operational decision-making by integrating critical elements such as location planning and material flows.

Iman Seyedi, Enza Messina · IMA Journal of Management Ma... · 0 citations

Jul 2026

Diffusion enabled Optimal Transport distances for graph matching

Even under severe noise, DsrFGW improves clustering quality in 92% of the synthetic tasks with optimal diffusion scales adapting to problem difficulty, establishing DsrFGW as a robust framework for graph comparison under structural uncertainty.

Iman Seyedi, F. Archetti · arXiv.org · 0 citations