プロフィール詳細

プロジェクトを作成

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Dr. Mohamed E.に依頼

Canada

Construction Management, Civil Engineering and Modeling

プロフィール概要

I am a civil engineer specialized in infrastructure and asset management. I have 5 years experience in design of municipal works and modelling water and wastewater conveyance systems. I have more than 6 years experience in research related to asset management, discrete event and agent based simulation of construction processes and optimization of different operations. I am an author and co-author of more than 15 peer reviewed journals and conferences publications. I am also serving as a reviewer in more than 6 impacted and indexed international journals in the fields of risk and safety, construction and civil engineering.

専門分野

• ☆ Civil Engineering
• ☆ Data Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Big Data Analytics
• ☆ Mathematical Optimization
• ☆ Risk Assessment & Actuarial Science

サービス

• Writing

Writing Technical Writing

職務経験

Simulation Specialist

Stream Systems Ltd

8月 2018 - 現在

Simulation Specialist

Stream Systems Ltd

8月 2018 - 現在

学歴

PhD

Concordia University

9月 2014 - 10月 2018

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

(2019). Multi-Objective Optimization Model for Inspection Scheduling of Sewer Pipelines.

(2018). Defect-Based ArcGIS Tool for Prioritizing Inspection of Sewer Pipelines.

(2018). An economic loss model for failure of sewer pipelines .

(2018). Automated defect detection tool for closed circuit television (cctv) inspected sewer pipelines .

(2018). Determining Relative Weights of Sewer Pipelines’ Components and Defects.

(2018). Condition assessment model for sewer pipelines using fuzzy-based evidential reasoning .

(2017). Defect based deterioration model for sewer pipelines using Bayesian belief networks .

(2017). Simulation-Based Condition Assessment Model for Sewer Pipelines.

(2017). Cost benefit analysis for failure of sewer pipelines .

(2016). Condition Prediction for Chemical Grouting Rehabilitation of Sewer Networks.

(2016). Condition Prediction for Cured-in-Place Pipe Rehabilitation of Sewer Mains.