Civil Engineering at University of Science and technology of Oran USTOMB
Engaged in advanced research in civil engineering, this academic has consistently contributed to structural stability, geotechnical engineering, and computational modeling. A vital member of the Laboratory of Applied Mechanics, the work spans soil-structure interaction, nonlinear analysis, and machine learning for structural health monitoring. Involvement in multiple international conferences and scientific committees reflects commitment to global academic collaboration. Teaching and supervising responsibilities at the University of Sciences and Technology of Oran highlight a strong dedication to higher education. This well-rounded profile merges theoretical and applied knowledge across academia, research, and industry-focused solutions in civil and structural engineering.
Professional Profile
ORCID | Scopus
Education
Educational achievements began with a Bachelor's in Civil Engineering, followed by a Master’s in Civil and Industrial Constructions, both from the University of Sciences and Technology of Oran Mohamed Boudiaf. Academic progression culminated in a PhD focused on Construction and Stability of Structures, fostering expertise in geotechnics and mechanics. The path to associate professorship was achieved in 2021. Formal training was enriched through international exposure, including doctoral research at EPFL, Lausanne. Degree equivalency recognition from Naric (Belgium) further reflects academic standards. This foundation in structural engineering and computational mechanics supports the ongoing research trajectory.
Professional Experience
Meriem Seguini has held academic positions since 2012, evolving from assistant professor to associate professor at USTO-MB. Responsibilities include course instruction, supervising research, and coordinating international sessions on structural health and damage detection. Her practical experience includes internships in Swiss labs and construction firms in Algeria, enhancing her applied understanding of energy geostructures and seismic analysis. Chairing sessions in key international conferences across Europe and Asia showcases leadership and professional networking. Contributions to technical training and the scientific committee work emphasize the impact on global geotechnical and structural research communities.
Research Interest
Specialization lies in the nonlinear behavior of soil-structure systems, dynamic analysis of geostructures, and advanced modeling techniques using finite elements. Interests extend to the integration of artificial intelligence and machine learning in predicting structural anomalies, especially within pipelines and buried systems. Meriem Seguini focuses on stochastic modeling, spatial variability of soil, and sustainable infrastructure analysis. Experimental vibration analyses combined with computational simulations form a core of her applied research. The work addresses challenges in civil engineering reliability and resilience, bridging the gap between theoretical advancement and practical infrastructure safety.
Award And Honor
Recognition as chair and scientific committee member in numerous international conferences such as ICSCES and FFW underscores professional credibility. Meriem Seguini was awarded the equivalence of her PhD in Belgium, acknowledging the international standard of her academic work. Selected to present at key platforms across Europe and Asia, her research contributions are well regarded in structural engineering circles. Engagements at EPFL and Ghent University reflect the value attributed to her collaboration and academic excellence. These honors mark a trajectory of distinction and influence in civil and structural engineering fields.
Research Skill
Competence includes proficiency in tools such as Abaqus, Matlab, SAP2000, and Comsol for simulation and analysis. A strong command of finite element methods supports research in complex nonlinear systems. Skills extend to dynamic and probabilistic modeling, thermal and mechanical simulations of buried structures, and seismic analysis. Meriem Seguini integrates artificial neural networks with structural diagnostics, applying hybrid AI techniques for damage prediction. Additional capabilities in programming, visualization, and engineering graphics reinforce analytical strength. Effective communication in Arabic, French, English, and intermediate German further enhances global research dissemination and collaboration potential.
Publications
Research output includes over a dozen peer-reviewed papers in prestigious journals and international conferences. Key topics span nonlinear beam analysis, soil spatial variability, and AI-based damage detection. Publications in journals like Periodica Polytechnica and Arabian Journal for Science and Engineering reflect high-impact contributions. Several works have introduced innovative modeling using Monte Carlo methods and artificial neural networks. Co-authored publications with global researchers signify interdisciplinary collaboration. Meriem Seguini’s publications provide critical insights into improving civil structure reliability using modern computational tools and predictive modeling techniques across international engineering platforms.
Title: Forecasting and characterization of composite pipeline based on experimental modal analysis and YUKI-gradient boosting
Authors: M. Seguini, S. Khatir, D. Boutchicha, A. Ould Brahim, B. Benaissa, C. Le Thanh, M. Noori, N. Fantuzzi
Journal: Construction and Building Materials (2024-04)
Title: Structural mechanics [A probabilistic study of nonlinear behavior in beams resting on tensionless soil with geometric considerations]
Authors: Seguini Meriem, Nedjar Djamel
Journal: HCMCOU Journal of Science – Advances in Computational Structures (2024-02-05)
Title: Crack Identification in Pipe Using Improved Artificial Neural Network
Authors: Meriem Seguini, Tawfiq Khatir, Samir Khatir, Djilali Boutchicha, Nedjar Djamel, Magd Abdel Wahab
Journal: Lecture Notes in Mechanical Engineering (2023)
Title: Machine Learning for Predicting Pipeline Displacements Based on Soil Rigidity
Authors: Meriem Seguini, Samir Khatir, Djamel Nedjar, Magd Abdel Wahab
Journal: Proceedings of the 10th International Conference on Fracture Fatigue and Wear (2023)
Title: Crack prediction in pipeline using ANN-PSO based on numerical and experimental modal analysis
Authors: Meriem Seguini, Samir Khatir, Djilali Boutchicha, Djamel Nedjar, Magd Abdel Wahab
Journal: Smart Structures and Systems (2021)
Title: Experimental and Numerical Vibration Analyses of Healthy and Cracked Pipes
Authors: Meriem Seguini, Djilali Boutchicha, Samir Khatir, Djamel Nedjar, Cuong-Le Thanh, Magd Abdel Wahab
Journal: Lecture Notes in Civil Engineering (2021)
Conclusion
Meriem Seguini’s academic journey and research excellence reflect a career deeply rooted in innovation, teaching, and global collaboration. From experimental fieldwork to high-end computational simulation, the body of work demonstrates a commitment to engineering progress. Contributions in AI-integrated structural diagnostics and nonlinear analysis establish a foundation for future breakthroughs in infrastructure safety. Educational leadership and international conference participation reinforce influence beyond regional boundaries. With a multidisciplinary approach and evolving skill set, continued impact in civil and structural engineering is assured. The trajectory remains aligned with sustainable development and advanced research frontiers.