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Profile Details
Create Project
USD 45 /hr
Hire Dr. Asghar T.
USD 45 /hr

Project & Construction Management | Data Scientist | AI Reseach Scientist

Profile Summary
Subject Matter Expertise
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


January 2012 - January 2015



Concordia University

January 2015 - July 2020

Diploma in Big Data

Concordia University

September 2019 - June 2020

MSc. in Project Management


September 2009 - May 2012

  • Certification details not provided.
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.
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.