Mohsen Khatibinia | Structural Control | Best Researcher Award

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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

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.

 

Arjun Sil | Civil | Best Researcher Award

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Assoc. Prof. Dr. Arjun Sil | Civil | Best Researcher Award 

Associate professor, at NIT Silchar Assam, India.

Dr. Arjun Sil is an Associate Professor in the Department of Civil Engineering at the National Institute of Technology (NIT), Silchar, Assam, India. With a passion for teaching and research, he specializes in earthquake-resistant design, seismic hazard analysis, structural health monitoring, and applied elasticity. Dr. Sil has over 15 years of experience in academia and research, contributing significantly to civil engineering through numerous publications and collaborative projects. His work aims to address critical challenges in infrastructure resilience, environmental hazards, and innovative retrofitting techniques. Beyond academia, he is an advocate for interdisciplinary approaches to solving real-world problems.

Professional Profile

Scopus

Google Scholar 

ORCID

Education

🎓 Dr. Sil’s academic journey is a testament to his dedication to civil engineering:

  • Ph.D. in Civil Engineering (2014) from the prestigious Indian Institute of Science (IISc), Bangalore, India.
  • M.Tech in Earthquake Engineering (2010) from National Institute of Technology (NIT), Silchar, Assam, India.
  • B.Tech in Civil Engineering (2002) from North Eastern Regional Institute of Science and Technology (NERIST), Arunachal Pradesh, India.

His academic credentials reflect his strong foundation and specialization in earthquake engineering and geotechnical studies.

Experience

💼 Dr. Sil brings over 15 years of professional experience:

  • Associate Professor (since July 2022) at NIT Silchar, focusing on advanced civil engineering research and teaching.
  • Assistant Professor (2012–2022) at NIT Silchar, contributing to undergraduate and postgraduate education.
  • Research Fellow (2008–2012), where he conducted groundbreaking studies in seismic vulnerability.
  • Engineering Officer (Civil) (2003–2008) in the Government of Tripura, overseeing infrastructure development and maintenance projects.

Research Interests

🔍 Dr. Sil’s research spans a diverse range of critical topics in civil engineering:

  • Earthquake-resistant design and geotechnical earthquake engineering.
  • Seismic hazard analysis, seismic microzonation, and site response studies.
  • Structural health monitoring, condition assessment, and retrofitting techniques.
  • Application of GIS, remote sensing, and probabilistic modeling in civil engineering.
  • Air pollution modeling, landslide hazard evaluation, and corrosion studies.

Awards

🏆 Dr. Sil’s contributions have earned him numerous accolades:

  • Recognized for his outstanding research in seismic vulnerability and hazard analysis.
  • Awards for excellence in teaching and mentoring graduate students.
  • Honored for his work on integrated GIS-based hazard mapping and applied engineering studies.

Publications

📚 Dr. Sil has published extensively in high-impact journals, contributing significantly to civil engineering research:

2024

  1. Tsunami Vulnerability Assessment Using GIS and AHP Technique”
    • Journal: Natural Hazards Review, ASCE
    • Focus: Assessing tsunami vulnerability using Geographic Information Systems (GIS) and the Analytic Hierarchy Process (AHP).
    • Scope: Framework for identifying high-risk zones and mitigation strategies.
    • Significance: Useful for coastal planning and disaster risk reduction.
  2. “Seismic Hazards in Bhubaneswar City, India”
    • Journal: Indian Geotechnical Journal, Springer
    • Focus: Evaluating seismic risks specific to Bhubaneswar using geotechnical and seismological data.
    • Scope: Recommendations for urban planning and infrastructure resilience.
    • Significance: First detailed seismic hazard study for this city.

2023

  1. “Application of ANN for Time-Variant Structural Reliability”
    • Journal: Practice Periodical on Structural Design and Construction, ASCE
    • Focus: Leveraging Artificial Neural Networks (ANN) to model and predict structural reliability over time.
    • Scope: Applied to structures facing varying environmental and load conditions.
    • Significance: Advances computational methods in structural engineering.
  2. “Service Life Estimation of RC Bridge Structures”
    • Journal: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems
    • Focus: Estimating the remaining service life of reinforced concrete (RC) bridge structures under deterioration.
    • Scope: Models incorporating uncertainties like corrosion and traffic loads.
    • Significance: Critical for prioritizing bridge maintenance and rehabilitation.
  3. “Comprehensive Seismic Hazard Assessment for Guwahati City”
    • Journal: Natural Hazards Research, Elsevier
    • Focus: Detailed seismic hazard mapping for Guwahati city, North East India.
    • Scope: Includes microzonation and implications for disaster preparedness.
    • Significance: A critical contribution to urban safety in a high-risk zone.
  4. “Report on the 2018 Indonesian Tsunami Causes”
    • Journal: Natural Hazards Research, Elsevier
    • Focus: Investigating geological and environmental factors leading to the 2018 Indonesian tsunami.
    • Scope: Post-event analysis highlighting lessons for future disaster management.
    • Significance: Provides insights for global tsunami risk mitigation.
  5. “Seismic Hazard Analysis of North East India”
    • Journal: International Journal of Reliability and Safety, Inderscience
    • Focus: Comprehensive analysis of seismic hazards in the North East region of India.
    • Scope: Includes probabilistic seismic hazard assessment (PSHA) and vulnerability indices.
    • Significance: Enhances understanding of the region’s seismic risks for infrastructure planning.

Conclusion

Dr. Arjun Sil is a highly accomplished researcher with a prolific publication record and deep expertise in civil and geotechnical engineering. His contributions to earthquake-resistant design, seismic hazard analysis, and structural health monitoring are significant and impactful. While he could benefit from expanded global collaborations and broader public engagement, his achievements make him a strong contender for the Research for Best Researcher Award. His work addresses both academic excellence and practical societal challenges, aligning well with the award’s objectives.