Dr. Mohamed Hegab | Scheduling Automation | Best Researcher Award
Dr. Mohamed Hegab | Professor | California State University | United States
Academic Background
Dr. Mohamed Hegab holds a PhD in Civil Engineering and is a licensed Professional Engineer with certifications in Project Management and Construction Management. His academic journey encompasses extensive training and research in infrastructure systems, project controls, and construction technology. With over three decades of experience in both academia and industry, he has contributed to advancing knowledge in construction planning, public-private partnerships, and AI-enabled construction automation. His scholarly impact is demonstrated through a robust portfolio of publications, books, and peer-reviewed research Citation Index: Google Scholar Citations ≈ 480 | h-index = 11 | i10-index = 12 reflecting his influence in the field. All supporting documents and credentials are verifiable upon request.
Research Focus
Dr. Hegab’s research centers on integrating artificial intelligence with construction planning and management. His work focuses on ontology-based frameworks for automated scheduling, digital twin integration, and smart infrastructure monitoring. He explores innovative approaches to construction productivity modeling, risk assessment, and project controls that bridge academic theory with industry practice.
Work Experience
Dr. Hegab has served as a Professor and Department Chair, leading civil engineering and construction management programs. His professional experience spans consulting for large-scale infrastructure projects, including metropolitan water systems and state transportation authorities. He has overseen multi-disciplinary teams, managed project budgets, and provided expert advisory services to public and private organizations. Beyond academia, he has held leadership positions in businesses supporting construction operations, demonstrating a unique blend of academic rigor and practical expertise.
Key Contributions
Dr. Hegab has pioneered the use of AI-driven semantic frameworks in construction planning, enabling automated project scheduling and constraint validation. His work has improved decision-making processes, minimized data fragmentation in digital models, and enhanced the implementation of Construction 4.0 practices. He has significantly influenced industry standards, academic curricula, and international research collaborations, bridging the gap between emerging technologies and practical infrastructure delivery.
Awards & Recognition
Dr. Hegab has been widely recognized for his contributions to construction engineering and management. His research and industry leadership have garnered national and international attention, earning accolades for innovation in project delivery, risk assessment, and AI integration in construction processes. His work continues to inspire academic peers and industry professionals globally.
Professional Roles & Memberships
Dr. Hegab actively contributes to professional organizations, including the American Society of Civil Engineers, Construction Management Association of America, Project Management Institute, and the Dispute Resolution Board Foundation. He serves as a senior evaluator for accreditation bodies and participates in multidisciplinary research collaborations with universities and research institutions worldwide, supporting the advancement of construction engineering education and practice.
Publication Profile
Scopus | Google Scholar
Featured Publications
Hegab, M., Smith, G. R. (2007). Delay time analysis in microtunneling projects. Journal of Construction Engineering and Management, 133, 191-195.
Nassar, K., Gunnarsson, H. G., Hegab, M. (2005). Using Weibull analysis for evaluation of cost and schedule performance. Journal of Construction Engineering and Management, 131, 1257-1262.
Hegab, M., Salem, O. M. (2010). Ranking of the factors affecting productivity of microtunneling projects. Journal of Pipeline Systems Engineering and Practice, 1, 42-52.
Ali, S., Zayed, T., Hegab, M. (2007). Modeling the effect of subjective factors on productivity of trenchless technology. Journal of Construction Engineering and Management, 133, 743-748.
Elwakil, E., Hegab, M. (2018). Risk management for power purchase agreements. IEEE Conference on Technologies for Sustainability, 1-6.
Impact Statement / Vision
Dr. Hegab envisions a future where AI-driven methodologies and digital integration transform construction management, enabling smarter, safer, and more efficient infrastructure systems. His work continues to advance knowledge, inform policy, and inspire innovation across academia and industry globally.