Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Mohamed Noomane Darghouth

Professeur en gestion des opérations

Université de Moncton

Canada

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Canada Professors in Energy Engineering Energy Engineering professors in Canada

About

Professor Mohamed Noomane Darghouth is an expert in operations management at the Université de Moncton, Canada. His research interests encompass sustainable scheduling, energy systems optimization, and maintenance strategies, focusing on innovative approaches to enhance efficiency and reliability in various industrial applications. He has published numerous articles addressing topics such as photovoltaic systems design, maintenance optimization, and risk management in energy contexts.

Articles (14)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Collaborators (4)

Ahmad Al Hanbali

Associate professor

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

View details

Jameleddine Hassine

Associate Professor

Université du Québec à Montréal (UQAM)

CANADA

View details

Khaled Alshareef

Assistant Professor

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

View details

Ahmed Attia

Associate Professor

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Mohamed Noomane Darghouth

Research Interests

Make your next move.

Explore related searches

About

Articles (14)

Sustainable scheduling for job shops with joint maintenance, machine speed scaling, and uncertain processing times

Optimizing inspection and maintenance decisions in degrading systems with quality-loss

Machine learning models integrated with strategic theories for predicting delivery time in supply chains

An integrated scheduling model for single-machine systems considering fatigue dynamics, speed control, maintenance, and learning-based performance

A semi-Markov model for reliability and cost analysis of two-unit cold standby systems considering operator fatigue, preventive maintenance and imperfect repairs

Design optimization of standalone photovoltaic systems for enhanced energy density

Dependency-aware maintenance optimization of multi-component multi-asset systems: A Simulation-based approach

An integrated two-dimensional warranty framework for second-hand equipment considering condition-based maintenance, upgrades, and past life

Optimization of Integrated Hybrid Renewable Energy Systems for Hydrogen Refueling Stations

Optimal Risk Management in Grid-Connected Photovoltaic System Design Under Environmental and Economic Changes: A Case Study in Saudi Arabia’s Climate

Genetic algorithm with normal boundary intersection for multi-objective early/tardy scheduling problem with carbon-emission consideration: a Pareto-optimum solution

Optimized Realization of Operational Requirements: A Goal-Oriented Approach

Sizing a grid-connected photovoltaic system under economic and environmental uncertainties

An improved imperfect maintenance strategy for multiperiod randomly failing equipment with stochastic repair times

Collaborators (4)

Ahmad Al Hanbali

Jameleddine Hassine

Khaled Alshareef

Ahmed Attia

Make your next move.