Central South University, China
Hijratullah Sharifzada is an emerging civil engineering professional from Afghanistan, currently pursuing a Master’s degree in Civil Engineering at Central South University in Changsha, China . A dedicated scholar and researcher, Hijratullah specializes in construction management and infrastructure development, with a keen focus on risk assessment and project delay analysis. His academic journey reflects excellence, with a CGPA of 3.8 out of 4.0 and several peer-reviewed publications to his name 📚. He is recognized for his collaborative research contributions, particularly in areas impacting construction practices in Afghanistan and South Asia.
Publication Profile
🎓Education Background:
Hijratullah began his Master’s journey in Civil Engineering (Construction Management) at Central South University in September 2020 and is expected to graduate by July 2024 🎓. His rigorous academic training spanned three years, during which he developed deep expertise in infrastructure planning, delay risk assessment, flexible pavement analysis, and intelligent construction systems. His final mark, an impressive 3.8/4.0, is a testament to his academic dedication and competence in engineering education 📘.
👷♂️Professional Experience:
As a graduate researcher, Hijratullah has worked closely with renowned professors like Prof. Yu Deming and Dr. You Wang on multiple funded projects and international journal articles. His hands-on involvement in modeling risk factors using Structural Equation Modeling (SEM), as well as contributing to advanced predictive frameworks like SSA-SVM-LSTM for subsidence prediction, underscores his practical understanding of both theoretical and applied civil engineering. He has collaborated across borders with researchers from China, Pakistan, and Afghanistan to address real-world challenges in construction management and safety monitoring 🏗️.
🏅Awards and Honors:
Though early in his career, Hijratullah’s work has already earned notable recognition in the academic community. His research has been published in high-impact journals such as Construction and Building Materials and Heliyon. His thesis on project delay risks in Afghanistan, grounded in the 4M1E framework, has been cited in policy recommendations for construction risk reduction in fragile zones 🥇. His contributions have also led to invitations for peer reviews and conference presentations.
🔬Research Focus:
Hijratullah’s primary research interests lie in construction management, delay risk analysis, infrastructure resilience, and intelligent safety systems. He leverages analytical tools like SEM, risk matrices, and deep learning models to explore uncertainties in construction projects 🔍. His research aims to bring smart solutions to the unique challenges faced by developing and post-conflict countries, emphasizing sustainable development, cost-efficiency, and safety in civil engineering practices 🧠.
🔚Conclusion:
In summary, Hijratullah Sharifzada is a promising young civil engineer and researcher with an impressive academic record, international research collaborations, and a strong portfolio of published work. With a passion for addressing complex engineering challenges through intelligent systems and risk-based methodologies, he is well on his way to making impactful contributions in the field of civil engineering, especially in regions facing developmental hardships 🌍.
📚Top Publications :
Construction Project Delay Risk Assessment Based on 4M1E Framework and Afghanistan Situation
Cited by: Google Scholar Citations (check citations)
Analysis of Flexible Pavement Distress
Cited by: Google Scholar Citations
Experimental study on the flexural fatigue performance of geopolymeric recycled aggregate concrete
Cited by: Scopus (Search article title)
Comprehensive Risk Assessment of Pakistan Railway Network: A Semi-Quantitative Risk Matrix Approach
Cited by: ScienceDirect (Search article title)
Identifying and Assessing the Impact of 4M1E Factors on Construction Project Delays in Afghanistan Using SEM
Cited by: Under indexing – peer-reviewed
An Image-Based Intelligent System for Addressing Risk and Uncertainty in Construction Site Safety Monitoring (Under Review – ASCE)
Cited by: N/A (Under Review)
Surface Subsidence Prediction Method Based on Spatiotemporal Characteristics and SSA-SVM-LSTM Model (Under Review – AEJ)
Cited by: N/A (Under Review)