Parallel Empirical Stochastic Branch and Bound for large-scale discrete optimization via Simulation. - Scott Rosen; Peter Salemi; Brian Wickham; Ashley Williams; Christine Harvey; Erin Catlett; Sajjad Taghiyeh; Jie Xu 004 (WSC, 2016)

A new particle swarm optimization algorithm for noisy optimization problems. - Sajjad Taghiyeh; Jie Xu 004 (Swarm Intell., 2016)

A Multi-Phase Approach for Product Hierarchy Forecasting in Supply Chain Management: Application to MonarchFx Inc. - Sajjad Taghiyeh; David C. Lengacher; Robert B. Handfield (CoRR, 2020)

Forecasting model selection using intermediate classification: Application to MonarchFx corporation. - Sajjad Taghiyeh; David C. Lengacher; Robert B. Handfield (Expert Syst. Appl., 2020)

Loss rate forecasting framework based on macroeconomic changes: Application to US credit card industry. - Sajjad Taghiyeh; David C. Lengacher; Robert B. Handfield (Expert Syst. Appl., 2021)

Developing Hybrid Machine Learning Models to Assign Health Score to Railcar Fleets for Optimal Decision Making. - Mahyar Ejlali; Ebrahim Arian; Sajjad Taghiyeh; Kristina Chambers; Amir Hossein Sadeghi; Demet Cakdi; Robert B. Handfield (CoRR, 2023)

Developing hybrid machine learning models to assign health score to railcar fleets for optimal decision making. - Mahyar Ejlali; Ebrahim Arian; Sajjad Taghiyeh; Kristina Chambers; Amir Hossein Sadeghi; Emad Taghiye; Demet Cakdi; Robert B. Handfield (Expert Syst. Appl., 2024)