Contact

Phone: 470-578-7243

Email: meghbali@kennesaw.edu

Office Location: M 108

Office Hours:
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Publications

Google Scholar: Maryam Eghbalizarch (ORCID:0000-0003-0296-4025)

  • Ishizawa, S., Eghbalizarch, M., Nargund, R. S., Sarayi, S. M. M. J., Niu, J., Hemmati, M., ... & Toumazis, I. (2025). Development and Validation of a Histology-Specific Natural History Model of Ovarian Cancer. American Journal of Obstetrics and Gynecology.
  • Kamali Mohammadzadeh, A., Eghbalizarch, M., Jahanmahin, R., & Masoud, S. (2025). Defining the Criteria for Selecting the Right Extended Reality Systems in Healthcare Using Fuzzy Analytic Network Process. Sensors, 25(10), 3133.
  • Nargund, R. S., Ishizawa, S., Eghbalizarch, M., Yeh, P., Saray, S. M. M. J., Nofal, S., ... & Toumazis, I. (2025). Natural history models for lung Cancer: A scoping review. Lung Cancer, 108495.
  • Ghaemi-Zadeh, N., & Eghbali-Zarch, M. (2024). Evaluation of business strategies based on the financial performance of the corporation and investors' behavior using D-CRITIC and fuzzy MULTI-MOORA techniques: A real case study. Expert Systems with Applications, 247, 123183.
  • Eghbali-Zarch, M., & Masoud, S. (2024). Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review. Artificial Intelligence in Medicine, 151, 102868.
  • Eghbali-Zarch, M., Zabihi, S. Z., & Masoud, S. (2023). A novel fuzzy SECA model based on fuzzy standard deviation and correlation coefficients for resilient-sustainable supplier selection. Expert systems with applications, 231, 120653.
  • Eghbali‐Zarch, M., Tavakkoli‐Moghaddam, R., Azaron, A., & Dehghan‐Sanej, K. (2022). An extended ϵ‐constraint method for a multiobjective finite‐horizon Markov decision process. International Transactions in Operational Research, 29(5), 3131-3160.
  • Eghbali-Zarch, M., Tavakkoli-Moghaddam, R., Esfahanian, F., & Masoud, S. (2022). Prioritizing the glucose-lowering medicines for type 2 diabetes by an extended fuzzy decision-making approach with target-based attributes. Medical & Biological Engineering & Computing, 60(8), 2423-2444.
  • Eghbali-Zarch, M., Tavakkoli-Moghaddam, R., Dehghan-Sanej, K., & Kaboli, A. (2022). Prioritizing the effective strategies for construction and demolition waste management using fuzzy IDOCRIW and WASPAS methods. Engineering, Construction and Architectural Management, 29(3), 1109-1138.
  • Taghipour, F., Tavakkoli-Moghaddam, R., & Eghbali-Zarch, M. (2021, August). Home healthcare routing and scheduling problem during the covid-19 pandemic. In IFIP International Conference on Advances in Production Management Systems (pp. 373-382). Cham: Springer International Publishing.
  • Dehghan-Sanej, K., Eghbali-Zarch, M., Tavakkoli-Moghaddam, R., Sajadi, S. M., & Sadjadi, S. J. (2021). Solving a new robust reverse job shop scheduling problem by meta-heuristic algorithms. Engineering Applications of Artificial Intelligence, 101, 104207.
  • Eghbali‐Zarch, M., Taleizadeh, A. A., & Tavakkoli‐Moghaddam, R. (2019). Pricing decisions in a multiechelon supply chain under a bundling strategy. International Transactions in Operational Research, 26(6), 2096-2128.
  • Eghbali-Zarch, M., Tavakkoli-Moghaddam, R., Esfahanian, F., Azaron, A., & Sepehri, M. M. (2019). A Markov decision process for modeling adverse drug reactions in medication treatment of type 2 diabetes. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 233(8), 793-811.
  • Eghbali-Zarch, M., Tavakkoli-Moghaddam, R., & Jolai, F. (2019). A ROBUST-POSSIBILISTIC PROGRAMMING APPROACH FOR A HUB LOCATION PROBLEM WITH A RING-STRUCTURED HUB NETWORK UNDER CONGESTION: AN M/G/C QUEUE SYSTEM. International Journal of Industrial Engineering, 26(3).
  • Eghbali-Zarch, M., Tavakkoli-Moghaddam, R., Esfahanian, F., Sepehri, M. M., & Azaron, A. (2018). Pharmacological therapy selection of type 2 diabetes based on the SWARA and modified MULTIMOORA methods under a fuzzy environment. Artificial intelligence in medicine, 87, 20-33.
  • Eghbali-Zarch, M., Tavakkoli-Moghaddam, R., Esfahanian, F., Azaron, A., & Sepehri, M. M. (2017). A new multi-objective optimization model for diet planning of diabetes patients under uncertainty. Health Education and Health Promotion, 5(3), 37-55.
  • Kaveh, F., Tavakkoli-Moghaddam, R., Jamili, A., & Eghbali-Zarch, M. (2016). Designing a Bi-objective Capacitated Single-Allocation Incomplete Hub Network Considering an Elastic Demand. International Journal of Engineering Science (2008-4870), 27(4).
  • Eghbali-Zarch, M., Abedzadeh, M., & Setak, M. (2014). Multi-objective reliable hub covering location considering customer convenience using NSGA-II. International Journal of System Assurance Engineering and Management, 5(3), 450-460.
  • EghbaliZarch, M., Abedzadeh, M., & Setak, M. (2013). Differential evolution algorithm for multi-commodity and multi-level of service hub covering location problem. International Journal of Industrial Engineering Computations, 4(1), 127-138.
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