Iterative simulation-optimization of a multi-state manufacturing system. - Mohammad Dehghanimohammadabadi; Thomas K. Keyser (SpringSim (Posters), 2015)

Tradeoffs between objective measures and execution speed in iterative optimization-based simulation (IOS). - Mohammad Dehghanimohammadabadi; Thomas K. Keyser (WSC, 2015)

Iterative optimization-based simulation (IOS) with deterministic and stochastic trigger events in simulated time. - Mohammad Dehghanimohammadabadi; Thomas K. Keyser (WSC, 2015)

A Weighted Monte Carlo Simulation Approach to Risk Assessment of Information Security Management System. - Seyed Mojtaba Hosseini Bamakan; Mohammad Dehghanimohammadabadi (Int. J. Enterp. Inf. Syst., 2015)

Simheuristic of patient scheduling using a table-experiment approach - Simio and Matlab integration application. - Mohammad Dehghanimohammadabadi; Mandana Rezaeiahari; Thomas K. Keyser (WSC, 2017)

A novel Iterative Optimization-based Simulation (IOS) framework: An effective tool to optimize system's performance. - Mohammad Dehghanimohammadabadi; Thomas K. Keyser; S. Hossein Cheraghi (Comput. Ind. Eng., 2017)

Intelligent simulation: Integration of SIMIO and MATLAB to deploy decision support systems to simulation environment. - Mohammad Dehghanimohammadabadi; Thomas K. Keyser (Simul. Model. Pract. Theory, 2017)

Iterative Optimization-Based Simulation: A Decision Support Tool for Job Release. - Nuno O. Fernandes; Mohammad Dehghanimohammadabadi; Silvio Carmo-Silva (WorldCIST (2), 2018)

Evolutionary multi-objective optimization for multivariate pairs trading. - Jeffrey Goldkamp; Mohammad Dehghanimohammadabadi (Expert Syst. Appl., 2019)

Simulation-Optimization of Digital Twin. - Mohammad Dehghanimohammadabadi; Sahil Belsare; Renee M. Thiesing (WSC, 2021)

A Tutorial on how to Connect Python with Different Simulation Software to Develop Rich Simheuristics. - Mohammad Peyman; Pedro Copado; Javier Panadero; Angel A. Juan; Mohammad Dehghanimohammadabadi (WSC, 2021)

Data-Driven Simulation-Optimization (DSO): An Efficient Approach to Optimize Simulation Models with Databases. - Mohammad Dehghanimohammadabadi (OLA, 2022)

Reinforcement Learning with Discrete Event Simulation: The Premise, Reality, and Promise. - Sahil Belsare; Emily Diaz Badilla; Mohammad Dehghanimohammadabadi (WSC, 2022)

Applied Reinforcement Learning for Decision Making in Industrial Simulation Environments. - Ashwin Devanga; Emily Diaz Badilla; Mohammad Dehghanimohammadabadi (WSC, 2022)

A Tutorial on Combining Flexsim with Python for Developing Discrete-Event Simheuristics. - Jonas F. Leon; Paolo Marone; Mohammad Peyman; Yuda Li; Laura Calvet; Mohammad Dehghanimohammadabadi; Angel A. Juan (WSC, 2022)

COVID-19 Supply Chain Planning: A Simulation-Optimization Approach. - Samaneh Maghoulan; Hande Musdal Ondemir; Mohammad Dehghanimohammadabadi (WSC, 2022)

Multi-objective supplier selection process: a simulation-optimization framework integrated with MCDM. - Nihan Kabadayi; Mohammad Dehghanimohammadabadi (Ann. Oper. Res., 2022)

Multi-Objective Patient Appointment Scheduling Framework (MO-PASS): a data-table input simulation-optimization approach. - Mohammad Dehghanimohammadabadi; Mandana Rezaeiahari; Javad Seif (Simul., 2023)

Simulation-Based Optimization Of Car T-Cell Therapy Supply Chain And Manufacturing. - Negar Sadeghi; Mohammad Dehghanimohammadabadi (ECMS, 2025)