Assoc. Prof. Dr. Mohsen Khatibinia | Structural Control | Best Researcher Award

Civil Engineering at University of Birjand, Iran

Mohsen Khatibinia, Ph.D., is an Associate Professor of Civil Engineering at Shahid Bahonar University of Kerman, Iran. With a robust academic background, he has contributed significantly to the field of structural engineering, particularly in optimizing structures for earthquake resilience. His research integrates computational intelligence methods with advanced structural analysis, focusing on performance-based design and soil-structure interaction. Dr. Khatibinia is an experienced educator and a skilled user of advanced engineering software.

Professional Profile

• Orcid Profile
• Google Scholar
• Scopus

Education

• Ph.D. in Civil Engineering (Structural Engineering)
  Shahid Bahonar University of Kerman, Iran (2006–2013)
  Dissertation focused on reliability-based optimization of reinforced concrete structures with soil-structure interaction.
• M.Sc. in Civil Engineering (Structural Engineering)
  Shahid Bahonar University of Kerman, Iran (2002–2004)
  Thesis: Optimal design of space structures using genetic algorithms.
• B.Sc. in Civil Engineering
  University of Sistan and Baluchestan, Zahedan, Iran (1998–2002).

Professional Experience

Associate Professor, Shahid Bahonar University of Kerman, Iran
Mohsen Khatibinia has extensive academic experience, specializing in teaching undergraduate and graduate courses such as Structural Analysis, Theory of Elasticity, Advanced Engineering Mathematics, and Stability of Structures.

• Expertise in computational tools including FORTRAN, MATLAB, SAP, ETABS, SAFE, Ansys, and OpenSees.
• Proficient in developing optimization algorithms and conducting numerical simulations for structural engineering applications.

Research Interest

• Structural optimization for earthquake-resistant design.
• Soil-structure interaction and performance-based design.
• Application of soft computing methods (e.g., genetic algorithms, particle swarm optimization, gravitational search algorithms, hybrid optimization algorithms, fuzzy logic, and neural networks) in structural and earthquake engineering.
• Seismic reliability assessment and optimization of reinforced concrete and steel structures.

Author Metric

• Published 12 peer-reviewed journal articles in prestigious journals such as Reliability Engineering & System Safety, Journal of Sound and Vibration, and Engineering Optimization.
• Presented research at 16 international and national conferences, highlighting advancements in structural and earthquake engineering.
• Expertise in developing hybrid computational models, with numerous citations in domains of structural optimization and earthquake engineering.

Publications Top Noted

1. Truss Optimization on Shape and Sizing with Frequency Constraints Based on Orthogonal Multi-Gravitational Search Algorithm

• Authors: m. khatibinia, s.s. naseralavi
• Journal: Journal of Sound and Vibration, Volume 333, Issue 24, Pages 6349-6369, 2014
• Citations: 112
• Abstract:
  This paper introduces an Orthogonal Multi-Gravitational Search Algorithm (OMGSA) for optimizing truss structures in terms of shape and size while satisfying frequency constraints. The approach integrates orthogonal learning and multi-agent search to enhance solution accuracy and convergence speed. The method’s effectiveness is demonstrated through benchmark problems and comparison with existing algorithms.

2. A Hybrid Approach Based on an Improved Gravitational Search Algorithm and Orthogonal Crossover for Optimal Shape Design of Concrete Gravity Dams

• Authors: m. khatibinia, s. khosravi
• Journal: Applied Soft Computing, Volume 16, Pages 223-233, 2014
• Citations: 99
• Abstract:
  This research presents a hybrid optimization technique combining an Improved Gravitational Search Algorithm (IGSA) with Orthogonal Crossover for the shape optimization of concrete gravity dams. The hybrid method addresses computational challenges in design optimization, yielding high-quality solutions with improved convergence efficiency.

3. RETRACTED: Shear Behaviour of Concrete Beams with Recycled Aggregate and Steel Fibres

• Authors: h.r. chaboki, m. ghalehnovi, a. karimipour, j. de brito, m. khatibinia
• Journal: Construction and Building Materials, Volume 204, Pages 809-827, 2019
• Citations: 95
• Abstract:
  (Retracted) The study initially examined the shear behavior of concrete beams incorporating recycled aggregates and steel fibers, aiming to explore their structural and sustainability benefits. However, the paper has been retracted, and further details are unavailable or unreliable.

4. Optimizing Parameters of Tuned Mass Damper Subjected to Critical Earthquake

• Authors: r. kamgar, p. samea, m. khatibinia
• Journal: The Structural Design of Tall and Special Buildings, Volume 27, Issue 7, Article e1460, 2018
• Citations: 92
• Abstract:
  This paper focuses on optimizing the parameters of Tuned Mass Dampers (TMDs) to enhance their performance under critical seismic events. The study utilizes advanced optimization techniques to achieve an optimal balance between cost and efficiency, improving the structural stability of tall buildings.

5. Seismic Reliability Assessment of RC Structures Including Soil–Structure Interaction Using Wavelet Weighted Least Squares Support Vector Machine

• Authors: m. khatibinia, m.j. fadaee, j. salajegheh, e. salajegheh
• Journal: Reliability Engineering & System Safety, Volume 110, Pages 22-33, 2013
• Citations: 92
• Abstract:
  This study proposes a novel approach using the Wavelet Weighted Least Squares Support Vector Machine (WLS-SVM) model for seismic reliability analysis of reinforced concrete (RC) structures, incorporating the effects of soil-structure interaction (SSI). The method offers a computationally efficient way to assess structural reliability under seismic loading conditions.

Conclusion

Dr. Mohsen Khatibinia is a strong candidate for the Best Researcher Award due to his impactful contributions to structural engineering, particularly in earthquake-resilient design and optimization. His innovative application of computational intelligence and hybrid optimization techniques highlights his expertise and commitment to advancing the field. While addressing the retraction and expanding his collaborative and publication scope could enhance his profile, his achievements make him a deserving nominee for this prestigious recognition.