Modeling the Efficiency of a Port Community System as an Agent-based Process. - Elnaz Irannezhad; Mark D. Hickman; Carlo G. Prato (ANT/SEIT, 2017)

Identifying Truck Stops from a Large Stream of GPS Data via a Hidden Markov Chain Model. - Mehdi Taghavi; Elnaz Irannezhad; Carlo G. Prato (ITSC, 2019)

An intelligent decision support system prototype for hinterland port logistics. - Elnaz Irannezhad; Carlo G. Prato; Mark D. Hickman (Decis. Support Syst., 2020)

Developing Supply Chain Risk Management Strategies by Using Counterfactual Explanation. - Amir Hossein Ordibazar; Omar Hussain 002; Ripon K. Chakrabortty; Morteza Saberi; Elnaz Irannezhad (ICSOC Workshops, 2022)

Truck Rest Stop Imputation From GPS Data: An Interpretable Activity-Based Continuous Hidden Markov Model. - Mehdi Taghavi; Elnaz Irannezhad; Carlo G. Prato (IEEE Access, 2023)

Performance analysis of LogisticChain: A blockchain platform for maritime logistics. - Lifeng Ni; Elnaz Irannezhad (Comput. Ind., 2024)

Developing Long-Term Business Strategies by Leveraging Infeasible Recommendations of the Counterfactual Explanation Model. - Amir Hossein Ordibazar; Omar Khadeer Hussain; Ripon Kumar Chakrabortty; Elnaz Irannezhad; Morteza Saberi (AINA (3), 2025)

A comprehensive review of simulation optimization methods in agricultural supply chains and transition towards an agent-based intelligent digital framework for agriculture 4.0. - Elham Shadkam; Elnaz Irannezhad (Eng. Appl. Artif. Intell., 2025)