Profile Details

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Hire Dr. Asghar T.

Canada

USD 45 /hr

Project & Construction Management | Data Scientist | AI Reseach Scientist

Profile Summary

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.

Subject Matter Expertise

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

Services

• 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

Work Experience

AI Research Scientist

Concordia University

January 2015 - Present

Project Management Officer

MAPNA Group

January 2012 - January 2015

Education

Ph.D.

Concordia University

January 2015 - July 2020

Diploma in Big Data

Concordia University

September 2019 - June 2020

MSc. in Project Management

TMU

September 2009 - May 2012

Certifications

• Certification details not provided.

Publications

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). p. 2752-2761.

Moradi, S., Nasirzadeh, F., Golkhoo, F.(2015). A hybrid SD-DES simulation approach to model construction projects . Construction Innovation. 15. (1). p. 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. p. 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. p. 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.