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Mohammad Ershadi

I'm an industrial engineering graduate with a strong background in system analysis, mathematical modeling, and machine learning, with experience in using simulation and predictive data modeling to address real problems. No matter how complex issues may seem, I love to solve them through teamwork and learning new things.

Living in : Iran

Gender : MaleRace : Middle Eastern

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Academic Profile

Posts

Contact Information

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Educations

Industrial EngineeringMaster'sAmirkabir University of Technology2017-09-29 Iran

Supervisor's name :Abbas Seifi

Title :

Designing Bayesian networks for the differential diagnosis of disease groups by their symptoms

Industrial EngineeringBachelor'sIsfahan University of Technology2015-09-25 Iran

Supervisor's name :Hossein Shams

Title :

Network and contract optimization for maintenance services with remanufacturing

Work Experiences

Researcher

at AmirKabir university

I am currently working in this role

Performance excellence

at Digikala

I am currently working in this role

Journal Publications

Publication Title :

An efficient Bayesian network for differential diagnosis using experts' knowledgeFirst author

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Using mathematical modeling for analysis of the impact of client choice on preventive healthcare facility network designFirst author

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An Expert System Based on Fuzzy Bayesian Network for Heart Disease DiagnosisThird author

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Fuzzy expert systems for prediction of ICU admission in patients with COVID-19Second author

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Simulation-based improvement and modification for performances of hospitals: a case studyFirst author

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Applications of dynamic feature selection and clustering methods to medical diagnosisFirst author

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Logistic planning for pharmaceutical supply chain using multi-objective optimization modelFirst author

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A multi-objective optimization model for logistic planning in the crisis response phaseFirst author

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An efficient multi-classifier method for differential diagnosisFirst author

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Simulation and optimization for improving performance of maintenanceFirst author

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An integrated HFMEA simulation-based multi-objective optimisation model to improve the performances of hospitals: A case studySecond author

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An economic-statistical design of simple linear profiles with multiple assignable causes using a combination of MOPSO and RSMSecond author

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Socioeconomic analysis of infectious diseases based on different scenarios using uncertain SEIAR system dynamics with effective subsystems and ANFISSecond author

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Fusing clinical and image data for detecting the severity level of hospitalized symptomatic COVID-19 patients using hierarchical modelFirst author

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A hierarchical machine learning model based on Glioblastoma patients' clinical, biomedical, and image data to analyze their treatment plansFirst author

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Awards

First Rank Student in UniversityMaster