プロフィール詳細

プロジェクトを作成

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Dr. Asghar T.に依頼

Canada

Project & Construction Management | Data Scientist | AI Reseach Scientist

プロフィール概要

I am a Project Management Expert with 10+ years of experience in both academia and industry. I study on the application of Artificial Intelligence in Project, Construction, Civil Infrastructure Management. I am experienced in Data Analysis and Visualization and developing Data-Driven Decision Making Models. I developed several solutions for Project Management daily problems using AI. I have built a product for automated visual inspection in Civil Infrastructures using Deep Learning algorithms. I am an author and co-author of more than 17 peer-reviewed journals papers and conferences publications. I am also serving as a reviewer in more than 3 impacted and indexed international journals in the fields of infrastructures, construction, and project management.

専門分野

• ☆ Construction Engineering
• ☆ Data Analysis
• ☆ Natural Language Processing
• ☆ Deep Learning
• ☆ Computer Vision

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Systematic Literature Review, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Data Visualization

Product Development Formulation

職務経験

AI Research Scientist

Concordia University

1月 2015 - 現在

Project Management Officer

MAPNA Group

1月 2012 - 1月 2015

学歴

Ph.D.

Concordia University

1月 2015 - 7月 2020

Diploma in Big Data

Concordia University

9月 2019 - 6月 2020

MSc. in Project Management

TMU

9月 2009 - 5月 2012

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Moradi, S., Zayed, T., Nasiri, F., Golkhoo, F.(2020). Automated Anomaly Detection and Localization in Sewer Inspection Videos Using Proportional Data Modeling and Deep Learning-Based Text Recognition. Journal of Infrastructure Systems. 26. (3).

Saeed Moradi, Tarek Zayed, Farzaneh Golkhoo (2019). Review on Computer Aided Sewer Pipeline Defect Detection and Condition Assessment . Infrastructures.

Moradi, S., Zayed, T., Golkhoo, F.(2019). Review on computer aided sewer pipeline defect detection and condition assessment . Infrastructures. 4. (1).

Moradi, S., Nasirzadeh, F., Golkhoo, F.(2017). Modeling labor productivity in construction projects using hybrid SD-DES approach . Scientia Iranica. 24. (6). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 2752-2761.

Moradi, S., Nasirzadeh, F., Golkhoo, F.(2015). A hybrid SD-DES simulation approach to model construction projects . Construction Innovation. 15. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 66-83.

CONFERENCE PAPER

Moradi, S., Zayed, T., Golkhoo, F.(2018). Automated sewer pipeline inspection using computer vision techniques . Pipelines 2018: Condition Assessment, Construction, and Rehabilitation - Proceedings of Sessions of the Pipelines 2018 Conference. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 582-587.

Moradi, S., Zayed, T.(2017). Real-Time Defect Detection in Sewer Closed Circuit Television Inspection Videos . Pipelines 2017: Condition Assessment, Surveying, and Geomatics - Proceedings of Sessions of the Pipelines 2017 Conference. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 295-307.

Moradi, S., Zayed, T., Hawari, A.H.(2016). Automated detection of anomalies in sewer closed circuit television videos using proportional data modeling . International No-Dig 2016 - 34th International Conference and Exhibition.