Dora Zakarian | Materials Science | Best Researcher Award

Dr. Dora Zakarian | Materials Science | Best Researcher Award

Senior Researcher at Institute for Problems in Materials Science, Ukraine

Dr. Dora Zakarian, a distinguished theorist in solid-state physics, has been contributing to material science since 1980 at the Institute for Problems in Materials Science (IPMS), Ukrainian National Academy of Science, Kyiv, Ukraine. With a doctorate in Physical and Mathematical Sciences, she is renowned for her innovative “a priori pseudopotential” method and groundbreaking studies on the mechanical properties of advanced materials.

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Education 🎓

Dr. Zakarian holds a Doctorate in Physical and Mathematical Sciences, specializing in solid-state physics. Her academic background is rooted in rigorous theoretical approaches, emphasizing quantum mechanics and material modeling.

Professional Experience 💼

Dr. Zakarian’s career spans over four decades at IPMS, where she has conducted theoretical studies of mechanical properties in diverse materials. She developed the “a priori pseudopotential” method, which has led to significant advancements in understanding materials like metals, carbides, borides, and eutectic composites. Her work has influenced fields such as nanotechnology and high-entropy alloys, resulting in dozens of foundational methodologies.

Research Interests 🔬

Dr. Zakarian’s research is centered on computational materials science, particularly:

  • Mechanical properties of composite materials under varying conditions.
  • Thermodynamic modeling of binary systems and eutectics.
  • Pioneering methods to account for size factors, anharmonic effects, and intercomponent interactions in composite materials.
  • Young’s modulus and other critical properties of advanced materials.

Awards and Recognitions 🏆

Dr. Zakarian has actively contributed to international research through:

  1. U.S. Navy Grant (2007-2009) – Simulation of ceramic composites in LaB₆-MeB₂ systems.
  2. U.S. Air Force Grant (2012-2014) – Modeling of boride ceramic composites.
  3. NATO Project Grant (2016-2023) – Development of shock-resistant boron-based ceramics, integrating production and testing.

Her groundbreaking contributions have been recognized globally, with applications in defense and aerospace industries.

Key Publications 📚

Dr. Zakarian has authored numerous peer-reviewed articles. Key works include:

Universal temperature dependence of Young’s modulus

  • Year: 2019
  • Citations: 42

Calculation of composition in LaB6–TiB2 and LaB6–ZrB2 eutectics by means of pseudopotential method

  • Year: 2011
  • Citations: 23

Pseudopotential method for calculating the eutectic temperature and concentration of the components of the B4C–TiB2, TiB2–SiC, and B4C–SiC systems

  • Year: 2009
  • Citations: 19

Ab-initio calculation of the coefficients of thermal expansion for MeB2 (Me–Ti, Zr) and LaB6 borides and LaB6–MeB2 eutectic composites

  • Year: 2012
  • Citations: 11

Quasi-harmonic approximation model in the theory of pseudopotentials

  • Year: 2016
  • Citations: 7

Расчет теоретической прочности алмазоподобных материалов, исходя из энергии взаимодействия атомных плоскостей

  • Year: 2006
  • Citations: 7

Mechanical characteristics of quasibinary eutectic composites with regard for the influence of an intercomponent interaction of the interface

  • Year: 2014
  • Citations: 5

Theoretical Strength of Borides and Quasibinary Boride Eutectics at High Temperatures

  • Year: 2015
  • Citations: 4

Наночастицы с алмазоподобной структурой и обратный закон Холла–Петча

  • Year: 2014
  • Citations: 3

Temperature dependence of the hardness of materials with a metallic, covalent-metallic bonds

  • Year: 2021
  • Citations: 2

For a complete list of publications, please refer to the accompanying document.

Conclusion 🌟

Dr. Dora Zakarian’s contributions to theoretical solid-state physics and materials science are pivotal in advancing our understanding of composite materials. Her innovations in computational methods and models have reshaped the study of mechanical and thermodynamic properties of advanced materials, making her a prominent figure in her field

Chang He | Composite structures | Best Researcher Award

Mr. Chang He | Composite structures | Best Researcher Award 

PHD student at Tongji University, China

Chang He is a dedicated Ph.D. student in Civil Engineering at Tongji University, Shanghai, where he has distinguished himself through exemplary academic performance and significant contributions to research. With a strong foundation in Civil and Hydraulic Engineering, he has garnered recognition for his innovative approach to integrating smart materials with traditional construction techniques. His commitment to advancing the field of civil engineering is evident in his participation in various high-impact research projects and his proactive engagement in scholarly activities.

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ORCID

Education

Chang He began his academic journey at Shenyang Jianzhu University, where he earned his Bachelor’s degree in Civil Engineering with a commendable GPA of 87.6/100. He was recognized for his academic excellence through several awards, including the Merit Student Award and multiple scholarships. Pursuing further education, he obtained his Master’s degree in Civil and Hydraulic Engineering from Tongji University, achieving a GPA of 84.5/100. Currently, he is advancing his studies as a Ph.D. student in Civil Engineering, where he maintains an impressive GPA of 89.5/100, demonstrating his commitment to academic rigor and research excellence.

Experience

Chang He’s research experience is extensive and multifaceted. He has actively participated in several prominent research projects, including the NSFC Project focused on the integration of spherical piezoelectric smart materials with concrete, and the development of disaster acquisition robot equipment under the National Key R&D Program of China. His involvement in these projects has allowed him to gain hands-on experience in cutting-edge research methodologies and technologies, particularly in the context of structural health monitoring and disaster management. Additionally, he has contributed to the academic community as a reviewer for notable journals, further enhancing his understanding of current research trends and standards.

Research Interest

Chang He’s research interests lie at the intersection of civil engineering and advanced technology. His primary focus includes the application of machine learning and artificial intelligence to analyze and optimize the performance of construction materials and structures. He is particularly interested in exploring how innovative materials, such as fiber-reinforced polymers, can be integrated into traditional concrete structures to enhance their durability and resilience. By leveraging deep learning techniques, Chang aims to develop predictive models that can inform engineering practices and improve the safety and efficiency of civil engineering projects.

Awards

Throughout his academic career, Chang He has received several awards and honors that reflect his dedication to excellence in education and research. Notably, he was awarded the Social Work Scholarship twice, highlighting his commitment to community engagement and social responsibility. Additionally, he received the Second Prize Scholarship twice during his master’s studies, as well as the Third Prize Scholarship and the Merit Student Award during his undergraduate years. These accolades serve as a testament to his hard work, perseverance, and contributions to the academic community.

Publications

Chang He has authored and co-authored several research publications in esteemed journals, demonstrating his commitment to advancing knowledge in his field. His notable works include:

Deep Learning-Based Analysis of Interface Performance between Brittle Engineering Materials and Composites (Expert Systems with Applications, 2024).

Hyperparameter optimization for interfacial bond strength prediction between fiber-reinforced polymer and concrete (Structures, 2023).

Bayesian optimization for selecting efficient machine learning regressors to determine bond-slip model of FRP-to-concrete interface (Structures, 2022).

Semi-supervised networks integrated with autoencoder and pseudo-labels propagation for structural condition assessment (Measurement, 2023).

Application of Bayesian optimization approach for modelling bond-slip behavior of FRP-to-concrete interface (Proceedings of the 12th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2023).

An acoustic-homologous deep learning method for FRP concrete interfacial damage evaluation (Proceedings of the 12th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2023).

Conclusion

In conclusion, Chang He embodies the qualities of an exceptional researcher in civil engineering, combining academic excellence with impactful research contributions. His extensive experience, innovative research interests, and notable achievements position him as a strong candidate for the Best Researcher Award. By continuing to push the boundaries of knowledge in his field, Chang He is poised to make significant contributions to civil engineering and society as a whole. His commitment to excellence and passion for research make him a deserving nominee for this prestigious award.