Papers by Abdul Raheman Mohammed
Journal Of Cognitive Computing and Cybernetic Innovations(JCCCI), 2025
Rapid urbanization and the increased construction activities worldwide have immensely contributed... more Rapid urbanization and the increased construction activities worldwide have immensely contributed to the consumption of energy and degradation of the environment. Green construction minimizes these impacts by designing energy-efficient buildings and reducing waste. The integration of Artificial Intelligence in green construction presents innovative solutions that optimize design, resource management, security and sustainability practices. This paper analyzes the role of AI in achieving energy efficiency in building design and enhancing waste management during construction. It covers key aspects such as generative design, energy modeling, security, predictive analytics, and automated waste sorting. Real-world applications, challenges, and emerging trends in AI-driven sustainable construction are also included.
International Advanced Research Journal In Science, Engineering and Technology, 2024
Construction use digital technologies at a high pace in an attempt to improve efficiency, safety... more Construction use digital technologies at a high pace in an attempt to improve efficiency, safety, and
productivity. Among these is AI together with Unmanned Aerial Vehicles (UAVs or drones) as the emergent solution that
transforms the method of remote construction site monitoring. This paper explores and provides several applications of
AI-powered drones applied to construction, focusing on effective surveillance, monitoring of progress, and monitoring
of safety with its technical methodologies, possible issues such as regulatory aspects, data privacy, along with case studies
for actions. The findings thus show that combining AI with UAVs can significantly reduce costs, improve site safety, and
accelerate the timelines of projects, giving a competitive edge to stakeholders in the construction industry.
International Journal Of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering , 2024
Smart construction management harnesses artificial intelligence (AI) to address inefficiencies an... more Smart construction management harnesses artificial intelligence (AI) to address inefficiencies and challenges in modern construction projects, enhancing scheduling, resource allocation, and decision-making processes. By leveraging AI technologies such as machine learning (ML), natural language processing (NLP), and computer vision, construction managers can optimize workflows, monitor progress in real-time, and predict potential issues before they occur.
This research explores how AI-driven tools transform key aspects of construction management, from improving safety
and quality control to reducing costs and delays. Case studies highlight the practical applications of AI, including predictive maintenance, dynamic task adjustments, and automated inspections, demonstrating significant improvements in project outcomes. Despite its benefits, the adoption of AI in construction faces challenges such as data integration, high implementation costs, and the need for specialized skills. The paper discusses potential solutions to these challenges and outlines future opportunities for AI in smart construction management.
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Papers by Abdul Raheman Mohammed
productivity. Among these is AI together with Unmanned Aerial Vehicles (UAVs or drones) as the emergent solution that
transforms the method of remote construction site monitoring. This paper explores and provides several applications of
AI-powered drones applied to construction, focusing on effective surveillance, monitoring of progress, and monitoring
of safety with its technical methodologies, possible issues such as regulatory aspects, data privacy, along with case studies
for actions. The findings thus show that combining AI with UAVs can significantly reduce costs, improve site safety, and
accelerate the timelines of projects, giving a competitive edge to stakeholders in the construction industry.
This research explores how AI-driven tools transform key aspects of construction management, from improving safety
and quality control to reducing costs and delays. Case studies highlight the practical applications of AI, including predictive maintenance, dynamic task adjustments, and automated inspections, demonstrating significant improvements in project outcomes. Despite its benefits, the adoption of AI in construction faces challenges such as data integration, high implementation costs, and the need for specialized skills. The paper discusses potential solutions to these challenges and outlines future opportunities for AI in smart construction management.