Mr. Mahmoud Safaan | Ground Penetrating Radar | Best Researcher Award 

Mr. Mahmoud Safaan | Ground Penetrating Radar | Cairo University | Egypt

Mr. Mahmoud Hamdy Safaan is a distinguished civil engineer and researcher whose professional and academic journey demonstrates exceptional dedication to the advancement of smart infrastructure, sensing technology, and artificial intelligence applications in construction management. He earned his Bachelor of Science in Civil Engineering from the Higher Technological Institute in Cairo, Egypt, followed by a Higher Diploma in Construction Management from Cairo University, where he is currently pursuing a Master of Science in Construction Management. Over the years, Mahmoud Safaan has accumulated extensive professional experience in large-scale engineering projects across the Middle East and Africa, including Egypt, Libya, Cameroon, and Ethiopia. His progressive career at MIDAR, where he currently serves as Technical Office Manager (PMO), as well as previous roles as Senior Project Engineer, Project Control Engineer, and Construction Engineer at leading organizations such as VINCI, Zuhair Fayez Partnership, and Akram Group, has shaped his deep understanding of project optimization, sustainable design, and data-driven management systems. Mahmoud Safaan’s research interests lie at the intersection of artificial intelligence, deep learning, sensing systems, and ground-penetrating radar (GPR) applied to infrastructure development, with a strong focus on energy-efficient buildings, predictive analytics, and real-time sensing visualization. His technical and research skills encompass advanced data modeling, simulation for energy optimization, sensor data interpretation, project risk analysis, and the integration of AI into construction monitoring systems. Through his academic pursuits and publications in top-tier journals like Automation in Construction and Energy and Buildings, he has contributed novel methodologies to enhance smart infrastructure performance, improve energy efficiency, and promote the use of sensing technologies in civil engineering. Mahmoud Safaan has been recognized for his contributions to multidisciplinary collaborations that bring together construction technology, digital modeling, and intelligent sensing. His scholarly excellence and technical leadership have earned him notable professional credibility and growing recognition within the research community. Among his awards and honors are acknowledgments for his role in pioneering research on subsurface utility detection and deep learning-based energy consumption prediction, both of which have influenced emerging trends in the field of construction sensing and smart city frameworks.