Assistant Professor at Islamic Azad University, Iran.
Dr. Reza Sojoudi Zadeh is an Associate Professor in the Department of Civil Engineering at Mah.C., Islamic Azad University, Mahabad, Iran. He specializes in structural engineering, with a focus on optimization techniques, seismic performance assessment, and concrete technology. With years of academic and research experience, he has significantly contributed to the advancement of structural engineering through teaching, research, and scholarly publications.
Professional Profile:
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Education Background
Dr. Sojoudi Zadeh obtained his Ph.D. in Civil Engineering (Structural Engineering) from Urmia University, Iran, in 2018, where he explored the seismic performance-based life cycle cost optimization of steel moment frames using soft computing techniques. He earned his MSc in Civil Engineering (Structural Engineering) from Tabriz University in 2002, with a thesis on dynamic soil-structure interaction using SAP2000 software. He also completed his BSc in Civil Engineering at Tabriz University in 2000.
Professional Development
Dr. Sojoudi Zadeh has been actively involved in academia, teaching a range of undergraduate and graduate courses, including Statics, Design of Reinforced Concrete Structures, Concrete Technology, Structural Optimization, and Finite Element Analysis. In addition to his teaching responsibilities, he has supervised numerous research projects, contributed to the development of advanced structural engineering methodologies, and collaborated on various industry and academic initiatives aimed at enhancing structural performance and optimization.]
Research Focus
His research focuses on structural optimization, seismic performance analysis, tall buildings, and concrete technology. His work integrates computational techniques and experimental approaches to improve the resilience and cost-effectiveness of modern structures. He is particularly interested in developing innovative methodologies for optimizing structural designs and enhancing the durability of concrete-based structures.
Author Metrics:
Dr. Sojoudi Zadeh has an extensive publication record in peer-reviewed journals and conferences, with a strong citation impact. His Google Scholar profile (Link) reflects his contributions to structural engineering research. His ORCID ID is 0000-0001-8923-7343, ensuring recognition of his scholarly work and research contributions.
Awards and Honors:
Throughout his academic career, Dr. Sojoudi Zadeh has received several accolades for his research and contributions to structural engineering. His work on seismic optimization and concrete technology has been acknowledged at various academic and industry conferences, solidifying his reputation as a leading researcher in his field. His dedication to education and research continues to impact the structural engineering community.
Publication Top Notes
1. Modified Sine-Cosine Algorithm for Sizing Optimization of Truss Structures with Discrete Design Variables
Authors: S. Gholizadeh, R. Sojoudizadeh
Journal: Iran University of Science and Technology
Volume: 9 (2), Pages: 195-212
Year: 2019
Citations: 33
Abstract: This study presents a modified version of the Sine-Cosine Algorithm (SCA) tailored for the discrete sizing optimization of truss structures. The algorithm incorporates adaptive mechanisms to enhance convergence speed and solution accuracy. The methodology is tested on benchmark truss structures, demonstrating significant improvements in weight reduction and structural performance.
2. Shape and Size Optimization of Truss Structure by Means of Improved Artificial Rabbits Optimization Algorithm
Authors: S.L. SeyedOskouei, R. Sojoudizadeh, R. Milanchian, H. Azizian
Journal: Engineering Optimization
Volume: 56 (12), Pages: 2329-2358
Year: 2024
Citations: 8
Abstract: This paper introduces an improved Artificial Rabbits Optimization Algorithm (I-ARO) to solve structural optimization problems in truss structures. The proposed method integrates novel search strategies to enhance exploration and exploitation capabilities. Numerical simulations on different truss models confirm the effectiveness of the approach in minimizing weight while maintaining structural integrity.
3. Elite Particles Method in Discrete Metaheuristic Optimization of Structures
Authors: R. Sojoudizadeh, S. Gholizadeh
Journal: Journal of Civil and Environmental Engineering
Volume: 52 (108), Pages: 39-48
Year: 2022
Citations: 2
Abstract: This study introduces the Elite Particles Method (EPM) as a novel metaheuristic optimization technique for solving structural optimization problems. EPM improves upon traditional discrete optimization algorithms by incorporating elite-driven search mechanisms. The results demonstrate enhanced performance in optimizing truss and frame structures compared to existing methods.
4. Sizing Optimization of Truss Structures with Discrete Design Variables Using Combined PSO Algorithm with Special Particles Method
Authors: A. Gheibi, R. Sojoudizadeh, H. Azizian, M. Gheibi
Journal: Journal of Optimization in Industrial Engineering
Volume: 16 (2), Pages: 295-302
Year: 2024
Citations: 1
Abstract: This paper presents a hybrid optimization approach that integrates Particle Swarm Optimization (PSO) with the Special Particles Method (SPM) for discrete sizing optimization of truss structures. The hybrid method effectively balances exploration and exploitation, leading to more efficient structural designs with reduced computational costs.
5. Seismic Optimization of Steel Mega‐Braced Frame With Improved Prairie Dog Metaheuristic Optimization Algorithm
Authors: T. PayamiFar, R. Sojoudizadeh, H. Azizian, L. Rahimi
Journal: The Structural Design of Tall and Special Buildings
Volume: 34 (3), Article ID: e2207
Year: 2025
Abstract: This research develops an improved version of the Prairie Dog Optimization Algorithm (PDMA) to optimize the seismic performance of steel mega‐braced frames. The study focuses on minimizing structural responses under seismic loads by optimizing brace configurations. Simulation results indicate that the proposed algorithm outperforms conventional optimization techniques in terms of both efficiency and robustness.
Conclusion
Based on his research excellence, innovative methodologies, and contributions to structural engineering, Dr. Reza Sojoudizadeh is a highly suitable candidate for the Best Researcher Award. His work has significantly advanced optimization techniques in structural engineering, and he has demonstrated a consistent record of high-quality publications and impact.
To further strengthen his profile, he could focus on interdisciplinary research, international collaborations, and public engagement. However, his current research achievements, academic experience, and algorithmic innovations already make him an outstanding contender for the award.