Guidelines for responding to COVID-19 pandemic: Best practices, impacts, and future research directions

R Assaad, IH El-Adaway - Journal of management in engineering, 2021 - ascelibrary.org
Due to the novelty of coronavirus disease 2019 (COVID-19) and the lack of measurable
data, no enough research studies have been conducted to provide guidelines for …

Bridge infrastructure asset management system: Comparative computational machine learning approach for evaluating and predicting deck deterioration conditions

R Assaad, IH El-Adaway - Journal of Infrastructure Systems, 2020 - ascelibrary.org
Bridge infrastructure asset management system is a prevailing approach toward having an
effective and efficient procedure for monitoring bridges through their different development …

Key decision-making factors influencing bundling strategies: Analysis of bundled infrastructure projects

G Assaf, RH Assaad - Journal of infrastructure systems, 2023 - ascelibrary.org
Project bundling is the process of awarding a single contract to several infrastructure
projects to address construction, rehabilitation, replacement, or maintenance needs. This …

Forecasting liquidated damages via machine learning-based modified regression models for highway construction projects

O Alshboul, MA Alzubaidi, REA Mamlook… - Sustainability, 2022 - mdpi.com
Sustainable construction projects are essential for economic and societal thriving in modern
communities. However, infrastructural construction is usually accompanied by delays in …

Contractual perspective for BIM utilization in US construction projects

R Assaad, IH El-Adaway, AH El Hakea… - Journal of …, 2020 - ascelibrary.org
Although building information modeling (BIM) is experiencing substantial development and
use in the construction industry, its legal and business structures lag far behind. While many …

Impact of dynamic workforce and workplace variables on the productivity of the construction industry: New gross construction productivity indicator

R Assaad, IH El-Adaway - Journal of management in engineering, 2021 - ascelibrary.org
Construction productivity is the industry's predominant determinant of performance. Although
the construction industry periodically provides large amount of data, existing studies have …

Comparing the impact of learning in bidding decision-making processes using algorithmic game theory

R Assaad, MO Ahmed, IH El-Adaway… - … of management in …, 2021 - ascelibrary.org
Although previous research efforts have developed models to assist contractors in different
bidding decisions, there is a lack of research work that investigates the impact of integrating …

Price escalation in construction projects: examining national and international contracts

B Chammout, IH El-Adaway, M Abdul Nabi… - Journal of …, 2024 - ascelibrary.org
The construction industry has witnessed unprecedented disruptions in the supply chain (SC)
over the past four years due to the consecutive impacts of the 2018 steel and aluminum …

Contract risk management: A comparative study of risk allocation in exculpatory clauses and their legal treatment

R Khalef, IH El-Adaway, R Assaad… - Journal of Legal Affairs …, 2021 - ascelibrary.org
Contracts used in the construction industry allocate numerous risks among the different
contracting parties. The clauses of a contract that address risk allocation are often termed …

Evaluation and prediction of the hazard potential level of dam infrastructures using computational artificial intelligence algorithms

R Assaad, IH El-Adaway - Journal of Management in Engineering, 2020 - ascelibrary.org
Failures of dams cause immense property and environmental damages and take thousands
of lives. As such, the goal of this paper is to evaluate and predict the hazard potential level of …