Seifedine Kadry

Seifedine Kadry is an associate professor of Applied Mathematics in the American University of the Middle East Kuwait. He received his masters' degree in Modelling and Intensive Computing (2001) from the Lebanese University – EPFL -INRIA. He did his doctoral research (2003-2007) in applied mathematics from Blaise Pascal University-Clermont Ferrand II, France. He worked as Head of Software Support and Analysis Unit of First National Bank where he designed and implement the data warehouse and business intelligence; he has published one book and more than 50 papers on Applied Math, computer science and stochastic systems in peer-reviewed journals.

Publications

P2P-COVID-GAN: Classification and Segmentation of COVID-19 Lung Infections From CT Images Using GAN

Early and automatic segmentation of lung infections from computed tomography images of COVID-19 patients is crucial for timely quarantine and effective treatment. However...

A Survey of COVID-19 Detection From Chest X-Rays Using Deep Learning Methods

The coronavirus (COVID-19) outbreak has opened an alarming situation for the whole world and has been marked as one of the most severe and acute medical conditions in the last...

Development of a Framework for Preserving the Disease-Evidence-Information to Support Efficient Disease Diagnosis

In medical domain, the detection of the acute diseases based on the medical data plays a vital role in identifying the nature, cause, and the severity of the disease with...

P2P-COVID-GAN: Classification and Segmentation of COVID-19 Lung Infections From CT Images Using GAN

Early and automatic segmentation of lung infections from computed tomography images of COVID-19 patients is crucial for timely quarantine and effective treatment. However...

Estimating Key Performance Indicators of a New Emergency Department Model

In this article, a real-life Emergency Department (ED) is studied and analyzed in order to propose areas for improvement in its operations and patient flow. EDs are in native...

A Boosting-Aided Adaptive Cluster-Based Undersampling Approach for Treatment of Class Imbalance Problem

The subject of a class imbalance is a well-investigated topic which addresses performance degradation of standard learning models due to uneven distribution of classes in a...

A Recent Systematic Review on Simulation Modeling and Emergency Departments

Healthcare, being a complex and huge system, suffers from low quality of care delivered to arriving patients. The quality of care depends on the patient's condition and the...

International Journal of Quality Control and Standards in Science and Engineering (IJQCSSE)

Seifedine Kadry. Est. 2019.

The International Journal of Quality Control and Standards in Science and Engineering (IJQCSSE) is an international refereed journal that focuses on the best practices in quality...

Stochastic Methods for Estimation and Problem Solving in Engineering

Utilizing mathematical algorithms is an important aspect of recreating real-world problems in order to make important decisions. By generating a randomized algorithm that...

The Applications of Simulation Modeling in Emergency Departments: A Review

A recent study carried out an empirical investigation of the quality of healthcare delivered to adults and found out that only 54.9±0.6% adult received recommended care. Huge...

Factors Influencing Patients' Satisfaction

In complex systems, such as healthcare, patient satisfaction is identified as the patient experience of care and has been referred to as the “indispensable outcome.” The main...

The Applications of Simulation Modeling in Emergency Departments: A Review

A recent study carried out an empirical investigation of the quality of healthcare delivered to adults and found out that only 54.9±0.6% adult received recommended care. Huge...

Modeling Stock Prices Using Monte-Carlo Simulation and Excel

Monte Carlo simulation or experiments is a computerized mathematical technique that allows people to account for risk in quantitative analysis and decision making. Risk analysis...

A New Hybrid Simulated Annealing Algorithm for Large Scale Global Optimization

The present paper focus on the improvement of the efficiency of structural optimization, in typical structural optimization problems there may be many locally minimum...

Green Cloud Computing: Data Center Case Study

Green Cloud computing is envisioned to achieve not only efficient processing and utilization of computing but also to minimize energy consumption. This is essential for ensuring...

Diagnostics and Prognostics of Engineering Systems: Methods and Techniques

Industrial Prognostics predicts an industrial system’s lifespan using probability measurements to determine the way a machine operates. Prognostics are essential in determining...

Stochastic Fatigue of a Mechanical System Using Random Transformation Technique

In this chapter, a new technique is proposed to find the probability density function (pdf) of a stress for a stochastic mechanical system. This technique is based on the...

Green Process Management using Six Sigma Concepts

The Six Sigma () methodology, as it has evolved over the last two decades, provides a proven framework for problem solving and organizational leadership and enables leaders and...

On the Improvement of Cost-Effectiveness: A Case of Regression Testing

System maintenance is a general term required to keep a system running properly. The system could be a computer system, mechanical system, or other system. The maintenance in...

Traffic Control of Two Parallel Stations Using the Optimal Dynamic Assignment Policy

In this chapter, the authors study some optimal dynamic policies of assignment to control the entrance of a system. This system is formed of two waiting lines (queues) in...