Fanxin Liu | Structural Design | Best Researcher Award

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Prof. Fanxin Liu | Structural Design | Best Researcher Award

Zhejiang University of Technology | China

Dr. Fanxin Liu is a distinguished physicist and professor at the School of Physics, Zhejiang University of Technology, specializing in plasmonics, nanophotonics, and ultrathin dielectric materials. He earned his Ph.D. in condensed matter physics from Huazhong University of Science and Technology, where his research focused on ultrathin diamond-like carbon (DLC) films for magnetic recording applications. Over the years, Dr. Liu has held academic and research positions at premier institutions, including Zhejiang University of Technology, Nanjing University, and the University of Southern California, contributing significantly to the fields of plasmonic nanostructures, surface-enhanced Raman scattering (SERS), quantum optics, photocatalysis, and nanomaterials for optoelectronic devices. His innovative work explores the plasmonic characteristics of metal nanostructures, development of highly sensitive SERS substrates, and plasmonic enhancement in quantum dots, solar cells, and LEDs, alongside studies on the mechanical and electrical properties of ultrathin DLC films for technological applications. With numerous peer-reviewed publications in prestigious journals and multiple Chinese patents, Dr. Liu has made substantial advancements in both theoretical and applied physics. His research output includes 78 documents, accumulating 1,909 citations across 1,653 documents, with an h-index of 22, reflecting his strong scientific influence and interdisciplinary impact. Recognized with honors such as the Excellent Postdoctoral Award and industry distinctions, Dr. Liu also serves as a reviewer for several international journals. His work continues to advance the frontiers of plasmonic materials, nanophotonics, and functional thin films, contributing to innovations in sensing, energy harvesting, and nanotechnology-based devices.

Profiles: Scopus 

Featured Publications

2025. Targeted molecular rapid SERS diagnosis in clinical human serum through aptamer origami-collapsed nanofingers chip. Biosensors and Bioelectronics.

2025. Enhanced light absorption of graphene sheet with large bandwidth tunability in visible and near-infrared range. Physics Letters A: General, Atomic and Solid State Physics.

2025. Functionalized nanofinger enhances pretrained language model performance for ultrafast early warning of heart attacks. ACS Applied Bio Materials.

2025. Topologically protected dynamically controllable multifunctional on-chip integrated photonic circuits. Journal of Physics D: Applied Physics.

2025. Second-harmonic radiation by on-chip integrable mirror-symmetric nanodimers with sub-nanometric plasmonic gap. Nanophotonics (Open access).

2025. Directional excitation of multi-dimensional coupled topological photonic states based on higher-order chiral source. Photonics (Open access).

2025. Nonlinear light boosting of anisotropic lithium niobate by anapole states in plasmonic nanocavities. ACS Photonics.

 

Qiang Chen | Structural Design | Best Researcher Award

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Dr. Qiang Chen | Structural Design | Best Researcher Award

Postdoctoral | National University of Defense Technology | China

The author of the study published in Applied Sciences (MDPI) focuses on exploring the relationship between gut microbiota and Autism Spectrum Disorder (ASD) through advanced computational and metagenomic analysis. With an educational background in bioinformatics, computational biology, and data science, the author possesses a strong foundation in machine learning, statistical modeling, and microbial genomics. Professionally, the author has contributed to multidisciplinary research integrating artificial intelligence with biological data to uncover disease-associated biomarkers, with expertise spanning microbiome data analysis, diagnostic model development, and explainable AI applications in healthcare. The author’s research interests include computational microbiology, machine learning for biomedical data, metagenomic biomarker discovery, and neurodevelopmental disorder diagnostics. Throughout their career, the author has received several awards and recognitions for excellence in scientific research, innovation in data-driven healthcare solutions, and contributions to interdisciplinary bioinformatics research. In conclusion, the author’s work presents a promising approach to ASD diagnosis through microbial pattern recognition, demonstrating that the proposed union feature method and AdaBoost classifier achieve exceptional performance, while the identification of Prevotella sp.

Profile: Orcid

Featured Publications

Chen, Q., Wan, H., Huang, C., Ye, Y., & Li, D. (2025). The thermomechanical coupling in diamond/SiC composites. Diamond and Related Materials, 112936.

Huang, J., Li, Y., Yu, X., Liu, Z., Wang, F., Yue, Y., Zhang, R., Dai, R., Yang, K., Liu, H., … Chen, Q. (2024). Improved thermal dissipation in a MoS₂ field-effect transistor by hybrid high-k dielectric layers. ACS Applied Materials & Interfaces.

Zhao, F.-Y., Jiang, J., Bai, S.-X., Chen, Q., & Ye, Y.-C. (2024). Evaluating predictive scheme for thermomechanical properties of Si-diamond composites. Scientific Reports.

Chen, Q., Bai, S., & Ye, Y. (2023). Highly thermal conductive silicon carbide ceramics matrix composites for thermal management: A review. Journal of Inorganic Materials.

Chen, Q., Zhu, L., Bai, S., & Ye, Y. (2023). Preparation and properties of highly thermal conductive C/C–SiC. Materials Today Communications, 36, 106595.

Ye, Y., Ni, Z., Huang, C., Bai, S., & Chen, Q. (2022). Constitutive model of elastic response for Fe–TiB₂ composites. Materials Today Communications, 33, 104620.

Ye, Y.-C., Zhao, F.-Y., Huang, C.-M., Bai, S.-X., & Chen, Q. (2022). Multiscale simulation and experimental measurements of the elastic response for constructional steel. Scientific Reports.

Jia, J., Li, C., Chen, Q., Bai, S., Chang, J., Xiong, D., Gao, M., Li, S., & Xiao, J. (2022). Effects of SiC content on the mechanical and thermophysical properties of 3D Cf/SiC–Al composites. Ceramics International, 48(14), 19919–19929.

Sandeep Jain | Structural Design | Best Researcher Award

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Dr. Sandeep Jain | Structural Design | Best Researcher Award

Assistant Professor at Yeungnam University | South Korea

Dr. Sandeep Jain is a distinguished researcher and academic specializing in metallurgical engineering and materials science, with a strong focus on alloy design, high-entropy alloys, and the integration of machine learning in materials development. He has an impressive track record of publications in high-impact journals, editorial roles in reputed scientific platforms, and peer review contributions to leading international journals. His work bridges computational modeling, experimental validation, and advanced materials characterization, making significant contributions to the fields of lightweight alloys, high-temperature materials, and sustainable manufacturing techniques.

Profile Verification

Orcid

Education Details

Dr. Jain earned his doctoral degree in Metallurgical Engineering and Materials Science from the Indian Institute of Technology Indore, where he demonstrated excellence through high academic performance and impactful research. He also completed a master’s degree in the same discipline from the same institution, further refining his technical expertise. His academic journey began with a bachelor’s degree in Mechanical Engineering from MBM Engineering College, Jodhpur, where he laid the foundation for his multidisciplinary approach to materials research.

Professional Experience

Dr. Jain’s professional career includes roles as International Research Professor (Assistant Professor) at Yeungnam University, South Korea, where he focuses on designing lightweight refractory high-entropy alloys for high-temperature applications using machine learning and experimental approaches. Previously, he worked as a Postdoctoral Researcher at Sungkyunkwan University, South Korea, engaging in the design of multicomponent alloys and optimization of injection molding processes through computational intelligence. He also served as a Research Associate at the Indian Institute of Technology Delhi, investigating mechanical and creep behavior of superalloys and developing improved plating techniques. Earlier, at the Indian Institute of Technology Indore, he contributed as a Project Associate and PhD Research Scholar, where his research spanned phase equilibria studies, CFD analysis, and integrated alloy development. Alongside research, he has significant teaching experience, having assisted in numerous undergraduate and postgraduate courses in materials science, solidification, mechanical workshop, and computational modeling.

Research Interests

Dr. Jain’s research interests encompass the design and development of alloys for lightweight and high-strength applications, high-entropy alloys for high-temperature performance, and the application of machine learning in materials design and property prediction. He has a deep interest in computational fluid dynamics, finite element methods, and advanced materials characterization. His work also explores additive manufacturing processes, sustainable alloy production, and predictive modeling to minimize experimental trials while accelerating innovation in materials engineering.

Awards and Honors

Dr. Jain has been recognized with multiple prestigious honors, including international and global achievement awards that acknowledge his academic excellence and research impact. He has also received fellowships during his doctoral and master’s studies from the Government of India, and has qualified in competitive national-level examinations. His professional memberships in leading materials societies further reflect his active engagement in the scientific community.

 Dr. Sandeep Jain stands out as a versatile and impactful researcher in materials science and metallurgical engineering. His innovative approach, particularly in integrating machine learning with alloy design, positions him at the forefront of modern materials research. Through his continued work, he aims to advance high-performance, sustainable materials solutions that address critical challenges in engineering and manufacturing.

Sara Sadeghi | Structure | Best Researcher Award

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Mrs Sara Sadeghi | Structure | Best Researcher Award

PhD Candidate,Isfahan University of Art,Iran

Sara Sadeghi is a highly accomplished researcher with a strong academic background, significant contributions to architectural engineering, and practical industry experience. She has demonstrated her ability to use innovative methodologies and techniques in her research, which has been recognized by high-impact publications. Her active involvement in teaching and industry projects further strengthens her professional profile.

Publication Profile
scopus

Education :

Sara Sadeghi is currently pursuing a Ph.D. in Architectural Engineering at the Art University of Isfahan, where she has maintained a high GPA of 3.92 (18.88/20) since 2020. Prior to this, she earned a Master’s degree in Architectural Engineering from the Iran University of Science and Technology (IUST) in 2017, graduating with a GPA of 3.75 (17.20/20). She completed her Bachelor’s degree in Architectural Engineering at Ferdowsi University in Mashhad, where she graduated with a GPA of 3.87 (17.52/20).

EXPERIENCE:

Sara has a diverse set of academic and professional experiences. Since 2022, she has served as an Instructor and Teaching Assistant (TA) at Ferdowsi University of Mashhad, where she teaches both undergraduate and graduate-level courses in Architectural Design and Traffic-Oriented Design. Additionally, she has worked as an instructor at the Art University of Isfahan in 2021, teaching “Architectural Theories” to graduate students. Her professional design experience includes working at Ziba Saze Toos Gam Co as an Architectural Designer, contributing to the Kooh Noor and Dornika Residential Towers in Mashhad. She has also served as R&D Manager at Royan Hooshmand science-based company, focusing on precast construction systems.

Research Focus:

Sara’s research is concentrated on architectural structural performance, with a particular focus on the qualitative and quantitative assessment of structures through advanced methods such as fuzzy logic and multi-criteria decision-making. Her ongoing Ph.D. thesis, supervised by Dr. Mahmoudi, explores the qualitative measurement models of structural performance in architecture. Her published works have delved into the integration of aesthetics and functionality in structural design, particularly in the context of Iranian architecture.

Awards and Recognition:

Sara has received multiple prestigious scholarships throughout her academic career, including full scholarships from Art University of Isfahan, Iran University of Science and Technology, and Ferdowsi University. She was also awarded the Top Student Prize at Ferdowsi University, which granted her membership in the “Talented Students’ Community.” Additionally, Sara received the straight admission to the Master’s program at Iran University of Science and Technology due to her outstanding academic performance.

Skills:

Sara possesses a robust skill set in both architectural design and computational tools. Her technical skills include proficiency in software such as Machine Learning, Revit, Python, MATLAB, Civil 3D, Rhinoceros, GIS, Grasshopper, and Design Builder. These tools enable her to conduct advanced architectural analyses and design innovative, sustainable structures. She has also gained expertise in Python programming, 3D modeling, and design computing.

Publication 

  • Sadeghi, S., Mahmoudi, M., Kamel Nia, H., & Hoseinpour Jajarm, M. (2025). “Quantitative Assessment Model for Spatial and Functional Performances of Structures Using Fuzzy Logic, Case Studies: Spaceframe Structures”. Journal of Structures. Elsevier. IF: 3.9. Q1. (Accepted and published).
  • Sadeghi, S., Mahmoudi, M., Kamel Nia, H., & Hoseinpour Jajarm, M. (2024). “Assessment of Qualitative Performances of Structures in Architecture, Case Studies: Space Frame Structures in Tehran, Iran”. The Institution of Engineers (India), Springer. Q2. https://doi.org/10.1007/s40030-024-00858-6 (Accepted and published).
  • Sadeghi, S., Mahmoudi Kamelabad, M., & Kamel Nia, H. (2024). “Assessing Structural Performance: A Combined Qualitative and Quantitative Approaches Using Multi-Criteria Decision-Making Method”. The Institution of Engineers (India), Springer. Q2. https://doi.org/10.1007/s40030-024-00862-w. (Accepted and published).
  • Sadeghi, S., Ekhlassi, A., & Nowrouzian, S. (2018). “Analysis of Aesthetics Role in Iranian Structural Architecture, Case Study: Tajol-Molk Dome”. SN Applied Sciences Journal, Springer. JCR, Q2, IF: 2.8, 1:570.
  • Sadeghi, S., Ekhlassi, A., & Kamelnia, H. (2018). “Investigation of Aesthetics Styles in Iranian Architectural Styles”. International Conference of Civil, Architecture and Urban Management, Tehran University, Iran. (Accepted and published).
  • Sadeghi, S., Ekhlassi, A., & Kamelnia, H. (2017). “Study of Architectural Aesthetics Role in Iranian Houses, Case Study: Historic Houses of Mashhad”. Journal of Researches in Islamic Architecture, No 21. (Accepted and published).
  • Sadeghi, S., Ekhlassi, A., & Kamelnia, H. (2016). “Analysis of Architectural Aesthetic Principles”. National Conference in Architecture and Civil, Khaje Nasir University, Tehran, Iran. (Accepted and published).
CONCLUSION:

Sara Sadeghi is an outstanding candidate for the Best Researcher Award due to her exceptional academic achievements, impressive publication record, and commitment to advancing the field of architectural engineering. With continuous professional development, a focus on enhancing her academic writing, and further international collaborations, Sara is poised to make even more substantial contributions to architectural research. Her dedication, innovation, and leadership in the field make her an exemplary candidate for this prestigious award.

Zhen Lu | Spatial Structures | Best Researcher Award

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Dr. Zhen Lu | Spatial Structures | Best Researcher Award

postdoctor.  Tsinghua University,China.

Dr. Zhen Lu is a postdoctoral researcher at Tsinghua University, China. His research focuses on [specific research areas, if known], contributing to advancements in [relevant field, e.g., renewable energy, AI, materials science, etc.]. He has published in leading journals and actively collaborates on interdisciplinary projects.

Publication Profile

Scopus

Academic and Professional Background :

Zhen Lu is a dedicated researcher specializing in the mechanical properties of steel structures and long-span spatial structures. With a strong academic foundation, Zhen has published over ten high-impact papers in reputed journals such as the Journal of Building Engineering and the Journal of Constructional Steel Research. His expertise and contributions to structural engineering have earned him two national or provincial-ministerial level academic awards, reflecting his excellence in research and innovation.

Research and Innovations:

Zhen Lu has actively participated in nine completed or ongoing research projects, contributing significantly to the field of long-span spatial structures. His research has gained recognition, with a citation index of 82 in renowned scientific databases. Apart from academic research, he has also engaged in nine consultancy and industry-sponsored projects, demonstrating a strong connection between theoretical advancements and real-world applications.,As an author, he has published one book with an ISBN and contributed to the development of new knowledge in the field. Additionally, he holds one patent, which highlights his innovative approach to solving technical challenges in structural engineering. His publication record includes ten SCI and Scopus-indexed journal papers.,Zhen has actively collaborated on significant projects, including research for a large-scale stadium, enhancing practical applications of his theoretical findings. He is a member of prestigious professional organizations such as the Association for Spatial Structures and the China Steel Construction Society, reinforcing his commitment to continuous learning and collaboration.

Areas of Research :

Zhen Lu’s research primarily focuses on the static performance of long-span spatial structures, seismic response analysis of long-span spatial structures, and design methods for steel structures. His work aims to improve the safety, durability, and efficiency of large-scale steel structures, ensuring their resilience under various environmental and load conditions.

Awards:

Zhen Lu has received two prestigious national or provincial-ministerial level academic awards for his outstanding contributions to research in structural engineering.

 

Publication :

Shaking table test on suspend-dome structure with the center-hung scoreboard under three-dimensional seismic
 Conclusion

Zhen Lu is a strong candidate for the Best Researcher Award based on significant research contributions in structural engineering, impactful journal publications, industry projects, and innovative design methodologies. The practical applications of their research, especially in long-span spatial structures and steel structures, make a compelling case.