Hamed Raoofi
/overview
- Description
- MSc Student, Department of Construction Engineering, École de Technologie Supérieure (ÉTS)
I am interested in creating, analyzing, and interpreting large datasets and passionate about potential applications of computer vision and deep learning in the industry.
- Research Title
A Deep Learning Method for Progress and Performance Assessment of Construction Work
/curriculum-vitae
- Education
M.Sc.Civil Engineering, Sharif University of Technology - Tehran, Iran.
Sep. 2007 - Sep.
2010
B.Sc.Civil Engineering, University of Guilan - Rasht, Iran.
Sep. 2003 - Sep.
2007
- Professional Experience
Canam Group
Business Analysis - Quebec, Canada.
Jan. 2021 – Present
Canam Group
Mitacs internship - Quebec, Canada.
Jan. 2020 – Dec. 2020
Guilan Schools Renovation Co.
Structural Engineer - Guilan, Iran.
Jan. 2012 –
Dec. 2018
/publications
Mask R-CNN Deep Learning-based Approach to Detect Construction Machinery on Jobsites
H. Raoofi, and A. Motamedi, Mask R-CNN Deep Learning-based Approach to Detect Construction Machinery on Jobsites. 37th International Symposium on Automation and Robotics in Construction (ISARC 2020), Kitakyushu, Japan, October 2020 https://doi.org/10.22260/ISARC2020/0154.
Behavior of Reinforced and Unreinforced Masonry Walls under Lateral Loading
H. Raoofi, N. Ataei, and H. Moghaddam, Behavior of Reinforced and Unreinforced Masonry Walls under Lateral Loading. International Conference on Urban Construction in the Vicinity of Active Faults ( ICCVAF 2011), Tabriz, Iran, September 2011.
System Identification by Image Processing
H. Raoofi, and H. Moghaddam, System Identification by Image Processing. International Conference on Control, Instrumentation and Automation (ICCIA 2010), Tehran, Iran, May 2010.