Mohammad Mahdi Ershadi (0000-0002-7409-6469)

Personal information

Biography

Mohammad Mahdi Ershadi earned his master's degree in Industrial Engineering from Amirkabir University of Technology in 2017, following his bachelor's degree in the same field from Isfahan University of Technology in 2015. Since then, he has been actively engaged in research at Amirkabir University of Technology and has served as a reviewer for various international journals. His research interests encompass data science, operations research, and systems analysis.

Activities

Collapse all

Amirkabir University of Technology: Tehran, Tehran, IR

2015 to 2017 | Master of Science (Industrial Engineering and Management Systems)

Education

Mohammad Mahdi Ershadi

https://orcid.org/0000-0002-7409-6469

Personal information

Websites & social links

Other IDs

Keywords

Biography

Activities

Education and qualifications (2)

Amirkabir University of Technology: Tehran, Tehran, IR

Isfahan University of Technology: Isfahan, IR

Works (32)

Application of Ensemble Learning for Respiratory Ailment Diagnosis: Case Studies on Biomedical and Chest X-ray Image Datasets

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

Application of Ensemble Learning in CXR Classification for Improving COVID-19 Diagnosis

Application of Ensemble Learning in CXR Classification for Enhancing COVID-19 Diagnosis

Uncertain SEIAR system dynamics modeling for improved community health management of respiratory virus diseases: A COVID-19 case study

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

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

Analyzing prioritization of customers' preferences in Islamic banking system using Kano model: A case study

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

Applications of dynamic feature selection and clustering methods to medical diagnosis

Data mining methods for quality control of research data; Case study of Iranian Scientific Database (GANJ)

Multidisciplinary analysis of international environments based on impacts of Covid-19: State of art

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

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

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

Logistic planning for pharmaceutical supply chain using multi-objective optimization model

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

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

Simulation and optimization for improving performance of maintenance

Process and Quality Improvement in Healthcare

From Industrial Engineering To Health-Care System Engineering

An efficient multi-classifier method for differential diagnosis

Scenario-Based Analysis about COVID-19 Outbreak in Iran using Systematic Dynamics Modeling - with a Focus on the Transportation System

An efficient Bayesian network for differential diagnosis using experts' knowledge

An integrated HFMEA-DES model for performance improvement of general hospitals

Crisis Management and National Response

Models and Techniques for Data Quality Management: A Practical Approach on Science and Technology Data

An Expert System Based on Fuzzy Bayesian Network for Heart Disease Diagnosis

Organization of crisis management Lessons from Iran and the World

Implementation of failure modes and effects analysis in detergent production companies: A case study

Designing Bayesian belief network with fuzzy probabilities for differential diagnosis of skin disease

Linear programming model to estimate the number of necessary ambulances and optimal allocation using set covering model: case study in Tehran – Karaj freeway

Peer review (149 reviews for 11 publications/grants)