Fatouma Maamar | Engineering | Best Researcher Award

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Mrs. Fatouma Maamar | Engineering | Best Researcher Award

Centre de développement des satellites at Agence Spatiale Algérienne, Algeria

Fatouma maamar 🎓 is a dedicated researcher in mechanical engineering, currently serving as a maître de recherche B at the Centre de Développement des Satellites (CDS) in Oran, Algeria 🛰️. With expertise in opto-mechanics, satellite systems, and thermo-optomechanical modeling, she has contributed significantly to Algeria’s space programs, including Alsat-1B and Alsat-1C 🚀. Holding a Ph.D. from Université Paul Sabatier – Toulouse III, France 🇫🇷, she has been actively involved in academia and industry, blending theoretical and applied research. Her work in spacecraft design, mechanical simulations, and optical systems has led to multiple high-impact publications 📚.

Professional Profile:

Orcid

Education & Experience

📌 Education

  • 🎓 Doctorat en Science (Génie Mécanique) – Université Paul Sabatier, Toulouse III, France (2011)

  • 🎓 Habilitation Universitaire (Génie Mécanique) – USTO-Oran, Algeria (2021)

  • 🎓 Ingénieur d’État en Génie Mécanique – USTO-Oran, Algeria (2006)

  • 🎓 Licence en Génie Mécanique – ENSET-Oran, Algeria (1999)

📌 Experience

  • 🛰️ Maître de Recherche B – CDS Oran (Present)

  • 🛠️ Opto-Mechanical Engineer, Alsat-1B – SSTL, UK (2014)

  • 🔧 Engineer in Payload Integration, Alsat-1B – CDS Oran (2015-2016)

  • 📏 Engineer in Metrology – Ministry of Industry and Mines, Oran (2000-2001)

  • 📚 University Lecturer (Maths & Mechanical Engineering) – USTO-Oran (Since 2001)

Professional Development

Fatouma maamar continuously hones her expertise through specialized training 📖. She received advanced education in spacecraft systems design at the University of Surrey, UK 🇬🇧 (2014) and high-reliability soldering at the University of Portsmouth 🇬🇧 (2015). Her proficiency in SolidWorks includes expert-level courses in sheet metal design, assembly, advanced parts, and visualization 🎨. Additionally, she completed training in ANSYS Mechanical simulations at CDS Oran ⚙️. In 2024, she is set to undergo further training in composite material applications at the École Militaire Polytechnique, Algeria 🏗️. Her commitment to continuous learning strengthens her contributions to aerospace engineering 🚀.

Research Focus

Fatouma maamar specializes in mechanical engineering for aerospace applications 🚀. Her research spans opto-mechanics, thermo-optomechanical modeling, and satellite payload integration 🛰️. She explores stress analysis in bonded joints, ensuring durability in extreme space conditions 🌌. Additionally, she optimizes lens mounting configurations for space optics 🔭, advancing Algeria’s satellite capabilities. Her tribology studies enhance bearing efficiency in propulsion systems ⚙️. Contributing to major space missions like Alsat-1B & Alsat-1C, she bridges theoretical models with real-world applications, improving satellite design and performance 🌍. Her work significantly impacts space technology and mechanical system optimization.

Awards & Honors

🏅 United Group Research Award – Recognized for outstanding research contributions (2019)
🏆 Gold Medal in Physics – 1st Class in B.Sc. (Hons.), University of Rajshahi
🌍 Top Contributor in Aerospace Research – Recognized for her work in satellite engineering
📜 Lead Investigator in National Space Programs – Honored for her leadership in Alsat projects
✨ Published in High-Impact Journals – Featured in Advances in Space Research and Tribology in Industry

Publication Top Notes

  • “Analysis of Thermo-Opto-Mechanical System and Stress Birefringence in Elastically Bonded Optics for Space Applications”

    • Authors: Fatouma Maamar​

    • Journal: Advances in Space Research​

    • Publication Date: March 4, 2025​

    • DOI: Not provided in the available information.​

    • Summary: This article focuses on the analysis of thermo-opto-mechanical systems and the effects of stress birefringence in elastically bonded optical components used in space applications.​

  • “Optomechanical Optimal Design Configuration and Analysis of Glue Pad Bonds in Lens Mounting for Space Application”

    • Author: Boudjemai,

    • Journal: Advances in Space Research​

    • Publication Date: May 2020​

    • DOI: 10.1016/j.asr.2020.01.025​

    • Summary: This study presents an optimal design configuration and analysis of glue pad bonds used in lens mounting for space applications, aiming to enhance the performance and reliability of optical systems in space environments.​

  • “A Brief Comparison of Self-Weight Deflection and Optical Path Difference of Lens Mount for Space Applications”

    • Author: Fatouma Maamar​

    • Journal: Journal of Advanced Research in Applied Science​

    • Publication Date: Not specified in the available information.​

    • DOI: Not provided in the available information.​

    • Summary: This article compares self-weight deflection and optical path difference in lens mounts designed for space applications, providing insights into the mechanical and optical performance of lens mounting systems under gravitational influences.

Conclusion

Fatouma Maamar stands out as a strong candidate for the Best Researcher Award due to her impactful contributions to mechanical engineering and aerospace research, her leadership in satellite technology projects, and her commitment to advancing scientific knowledge through international collaborations. Her work in optomechanics for space applications, combined with her research leadership, makes her an excellent nominee for this prestigious recognition.

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.

 

Slavko Đurić | Engineering | Best Researcher Award

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Prof Dr. Slavko Đurić | Engineering | Best Researcher Award

 

Educational Details:

Prof. Dr. Slavko Đurić earned his Doctorate of Technical Sciences, specializing in applied mathematics, thermodynamics, and dynamic systems. His academic journey has been rooted in the exploration of partial differential equations and their applications, as well as calculus of variations in mechanics and thermodynamics. Prof. Đurić has cultivated a deep understanding of these technical sciences, which has shaped his academic and professional contributions.

Professional Experience

Prof. Dr. Slavko Đurić is a full professor with extensive teaching and research experience at the Faculty of Technical Sciences in Novi Sad, Republic of Serbia, and the Faculty of Traffic in Doboj, University of East Sarajevo, Bosnia and Herzegovina. His academic expertise spans across various disciplines, including propagation of disturbances, thermodynamics, heat and mass transfer, and applied mathematics. In his teaching roles, Prof. Đurić has delivered comprehensive lectures on these subjects, fostering the next generation of engineers and technical scientists. His professional dedication to teaching and research excellence earned him the Plaque of the Faculty of Transportation for outstanding contributions in these areas.

Research Interest

Prof. Đurić’s research is centered around partial differential equations and their applications in mechanics and thermodynamics. He is particularly interested in dynamic systems and the calculus of variations, which play critical roles in advancing theoretical and applied research in engineering and technical sciences. Prof. Đurić has authored over 50 scientific papers, with 21 published in Science Citation Index (SCI) journals, highlighting his contributions to the field and his influence on global scientific knowledge.

Top Notable Publications

 

Conclusion