H
Hamed Alikhani
Researcher at Texas A&M University
Publications - 12
Citations - 90
Hamed Alikhani is an academic researcher from Texas A&M University. The author has contributed to research in topics: Computer science & Project management. The author has an hindex of 3, co-authored 9 publications receiving 31 citations. Previous affiliations of Hamed Alikhani include Sharif University of Technology.
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An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic
TL;DR: Wang et al. as mentioned in this paper developed a computer vision system to automatically detect the violation of face mask wearing and physical distancing among construction workers to assure their safety on infrastructure projects during the COVID-19 pandemic.
Journal ArticleDOI
Construction schedule, an influential factor on air pollution in urban infrastructure projects
TL;DR: In this article, the authors proposed a new framework to account for the impact of different urban project schedule alternatives on air pollution emission near the construction zones and evaluated the air pollution emissions of different construction schedule alternatives and reduced the resulting emission in urban construction projects.
Journal ArticleDOI
Air pollution concentration near sensitive urban locations: A missing factor to consider in the grade separation projects
TL;DR: In this paper, the authors proposed a complementary simulation-based method for assessing the resulting pollution concentration of the new grade separation projects near sensitive locations, which can be adapted for other types of urban transportation projects.
Proceedings ArticleDOI
A Deep Learning Algorithms to Generate Activity Sequences Using Historical As-built Schedule Data
TL;DR: A Deep Learning model is employed to be trained on historical project schedules to predict sequential activities and generates a back-tail and a front-tail of activities with any arbitrary length for to provide a more flexible support tool for project schedulers.
Posted Content
An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic
TL;DR: In this article, a computer vision system was developed to automatically detect the violation of face mask wearing and physical distancing among construction workers to assure their safety on infrastructure projects during the COVID-19 pandemic.