Xiangnan Liu – Mechanical Engineering – Best Researcher Award 

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Assist. Prof. Dr. Xiangnan Liu, born in Shaoyang, Hunan, began his academic journey with an early interest in Mechanical Engineering and measurement technologies. His dedication to scientific research led him to pursue a PhD in Mechanical Engineering at the South China University of Technology. During this time, he developed a strong foundation in fatigue analysis, vibration response, and durability testing, laying the groundwork for his future academic and research contributions. His outstanding doctoral work established him as a promising scholar in the field of Mechanical Engineering.

💼 Professional Endeavors

Dr. Liu has cultivated a distinguished career in both academia and industry. He is currently an Associate Professor at the School of Mechanical and Electrical Engineering, Hunan University of Science and Technology (2025–present), where he also serves as Deputy Director of the Department of Mechanical Electronics and Measurement and Control Instruments. Alongside his university role, he is a Postdoctoral Fellow at Xuelong Group Co., Ltd. since July 2025. His professional endeavors extend to significant administrative and collaborative roles, such as serving as a correspondence review expert for the National Natural Science Foundation of China, a senior member of the Chinese Society of Mechanical Engineers, and Director of the Hunan Instrument Society. His dual commitment to academia and applied research underscores his dedication to advancing Mechanical Engineeringin China and internationally.

🔬 Contributions and Research Focus

Dr. Liu’s research focuses on fatigue strength, life prediction, and durability testing of rubber vibration damping products. His contributions include pioneering work in vibration response and strength analysis of rubber materials, fatigue testing of automotive parts, and innovative methods for cooling fan blade fatigue analysis. He leads major projects such as the National Natural Science Foundation Youth Project on fatigue damage evolution mechanisms, as well as multiple school-enterprise collaborations focusing on automotive rubber components, air spring hysteresis performance, and fatigue life of metal pipes. His research is not only theoretical but also highly practical, bridging the gap between Mechanical Engineering theory and industrial application.

🌍 Impact and Influence

The impact of Dr. Liu’s work is reflected in his leadership roles, his contributions to national-level projects, and his extensive publications in high-impact journals, including the International Journal of Fatigue, Fatigue & Fracture of Engineering Materials & Structures, Measurement, and the Chinese Journal of Mechanical Engineering. His studies have advanced understanding of multi-axial fatigue, probabilistic fatigue life prediction, and artificial intelligence applications in structural fatigue. He has also played an influential role in education reform by integrating ideological and political elements into engineering curricula. His influence extends through mentorship, as he has guided students to publish in leading journals and win prestigious competitions.

🏆Academic Cites

Dr. Liu’s body of work, consisting of more than 20 high-quality papers, is widely cited in the field of Mechanical Engineering, underscoring the scholarly value of his research. His contributions to probabilistic fatigue models, neural network-based life prediction, and load spectrum editing are frequently referenced by academics and professionals alike. His recognition as part of the 2024 Wiley China Excellent Author Program further highlights the significance and global reach of his academic work.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Liu is poised to further solidify his legacy in Mechanical Engineering His ongoing projects in fatigue strength and life prediction are expected to result in innovative technologies and predictive models that will benefit both academia and industry. His leadership in research, combined with his commitment to education and mentorship, ensures that his influence will extend to future generations of engineers. By bridging academic theory with industrial applications, Dr. Liu’s future contributions promise to strengthen the durability and reliability of mechanical systems in automotive, aerospace, and energy sectors.

📝Mechanical Engineering

Assist. Prof. Dr. Xiangnan Liu has established himself as a leading scholar in Mechanical Engineering, with impactful research on fatigue strength, vibration damping, and durability testing. His numerous publications, projects, and academic achievements have advanced the global field of Mechanical Engineering, while his mentorship and educational reforms contribute to shaping the discipline’s future. His legacy in Mechanical Engineering continues to grow through innovative research, applied industrial collaborations, and academic leadership.

✍️ Notable Publication

Physics‐Informed Neural Network Model for Predicting the Fatigue Life of Natural Rubber Under Ambient Temperature Effects

Authors: Yujia Liu; Wen‐Bin Shangguan; Xiangnan Liu; Xuepeng Qian

Journal: Fatigue & Fracture of Engineering Materials & Structures

Year: 2025

Accelerated fatigue bench test method for rubber vibration isolators based on load spectrum compilation

Authors: Xiangnan Liu; Xuepeng Qian; Yi Xi

Journal: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Year: 2025

Comparison and experiment validation of fatigue data editing methods for vehicle component

Authors: Jingwei Xu; Xiangnan Liu

Journal: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Year: 2025

Improving Fatigue Life Prediction of Natural Rubber Using a Physics‐Informed Neural Network Model

Authors: Yingshuai Sun; Xiangnan Liu; Qing Yang; Xuelai Liu; Kuanfang He

Journal: Fatigue & Fracture of Engineering Materials & Structures

Year: 2025

Multi-axis fatigue load spectrum editing for automotive components using generalized S-transform

Authors: Xiangnan Liu; Jinghai Tan; Shangbin Long

Journal: International Journal of Fatigue

Year: 2024

A unified probabilistic fatigue life prediction model for natural rubber components considering strain ratio effect

Authors: Xiangnan Liu; Xuezhi Zhao; Xiao‐Ang Liu

Journal: Fatigue & Fracture of Engineering Materials & Structures

Year: 2023

Natural rubber components fatigue life estimation through an extreme learning machine

Authors: Xiangnan Liu; Xiao-Li Wang

Journal: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications

Year: 2023

Zengwei Guo – Solid Mechanics – Best Researcher Award 

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Prof. Zengwei Guo began his academic journey with a deep interest in civil engineering and structural mechanics, focusing on the durability, safety, and dynamic behavior of infrastructures. His early academic pursuits were marked by rigorous training in engineering mechanics, reinforced concrete structures, and applied mathematics, which built the foundation for his later expertise in corrosion modeling, structural health monitoring, and wind engineering. This early exposure to both theoretical and applied aspects of solid mechanics allowed him to develop a research vision that integrates advanced modeling approaches with practical engineering applications.

💼 Professional Endeavors

Throughout his career, Prof. Guo has worked extensively in civil and structural engineering research, with academic affiliations that enabled him to collaborate with leading scholars in China and internationally. His professional endeavors include serving as a corresponding author in high-impact journals, leading interdisciplinary projects, and supervising graduate students in structural health monitoring and bridge engineering. His active collaborations across structural durability, corrosion modeling, and aerodynamic performance of long-span bridges underscore his contributions to solid mechanics in both theoretical frameworks and practical applications.

🔬 Contributions and Research Focus

Prof. Guo’s contributions have significantly advanced the fields of infrastructure resilience and reliability. His research focus includes probabilistic modeling for reinforcement corrosion, corrosion state prediction using electrochemical indicators, and wind-induced vibration control of long-span bridges. He has introduced Bayesian-network-based frameworks for corrosion evaluation, developed hybrid prediction models for nondestructive testing, and applied wavelet analysis to characterize wind dynamics. Additionally, his work in applying physics-informed neural networks for parameter identification in prestressed concrete beams demonstrates his forward-looking integration of artificial intelligence into solid mechanics and structural engineering research.

🌍 Impact and Influence

Prof. Guo’s impact is evident through his wide-ranging publications across prestigious international journals such as Journal of Nondestructive Evaluation, Computer-Aided Civil and Infrastructure Engineering, Journal of Wind Engineering & Industrial Aerodynamics, and Journal of Vibration and Control. His studies have influenced both academic researchers and practicing engineers, particularly in the domains of structural health monitoring, durability of concrete infrastructures, and wind-induced responses of bridges. By addressing real-world challenges, his research has enhanced safety standards, optimized predictive models, and improved design strategies for long-term infrastructure resilience. His influence extends to interdisciplinary areas where solid mechanics intersects with materials science, artificial intelligence, and reliability engineering.

🏆Academic Cites

Prof. Guo’s scholarly works are widely cited, reflecting the academic community’s recognition of their significance. Key publications on Bayesian probabilistic models, chloride diffusion, and modal damping of suspension bridges have become reference points in the literature. His high citation record highlights the robustness of his methodologies and the relevance of his findings to both theoretical developments and practical engineering applications. The frequent referencing of his work in journals and conferences underlines his authority in solid mechanics-driven approaches for infrastructure safety and monitoring.

🌟 Legacy and Future Contributions

Prof. Zengwei Guo’s legacy is being built upon his pioneering integration of probabilistic models, machine learning, and advanced experimental methods into civil and structural engineering. Looking forward, his future contributions are likely to expand into intelligent infrastructure systems, advanced materials durability, and real-time structural monitoring through sensor integration. His commitment to bridging theoretical advances in solid mechanics with practical engineering challenges ensures that his research will continue to shape the field. As a mentor, researcher, and innovator, his legacy will inspire future generations of engineers dedicated to infrastructure resilience and safety.

📝Solid Mechanics

Prof. Guo’s body of work consistently integrates principles of solid mechanics into the evaluation of reinforcement corrosion, bridge aerodynamics, and structural health monitoring. His application of computational methods, probabilistic modeling, and AI techniques advances solid mechanics research beyond traditional boundaries. Through publications, collaborations, and innovative projects, he has positioned solid mechanics as a cornerstone of modern civil and structural engineering solutions.

✍️ Notable Publication

Title: Machine-learning-aided shear-capacity solution of RC girders with web stirrups based on the modified compression field theory

Journal: KSCE Journal of Civil Engineering

Year: 2024

Citations: 1

Title: Bayesian-network-based evaluation for corrosion state of reinforcements embedded in concrete by multiple electrochemical indicators

Journal: Journal of Nondestructive Evaluation

Year: 2024

Citations: 1

Title: Corrigendum to “Corrosion protection failure test analysis of the initial damaged cable ICCP mechanism” [Case Stud. Constr. Mater. 20 (2024) e03227]

Journal: Case Studies in Construction Materials

Year: 2024

Citations: 0

Title: Corrosion protection failure test analysis of the initial damaged cable ICCP mechanism

Journal: Case Studies in Construction Materials

Year: 2024

Citations: 4

Title: Hybrid prediction model for reinforcements' corrosion stage by multiple nondestructive electrochemical indices

Journal: Journal of Building Engineering

Year: 2024

Citations: 8

Title: Bayesian probabilistic model for reinforcement corrosion ratio of reinforcement in concrete prediction based on modified half-cell potential

Journal: Journal of Civil Structural Health Monitoring

Year: 2024

Citations: 4

Mohammad Yaser Abajy | Molecular Biology and Nanotechnology | Best Researcher Award 

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Assoc. Prof. Dr. Mohammad Yaser Abajy | Molecular Biology and Nanotechnology | Best Researcher Award 

Dean of Faculty of Pharmacy at Arab University for Science and Technology, Syria

Assoc. Prof. Dr. Mohammad Yaser Abajy is an accomplished molecular biologist and biopharmaceutical researcher whose academic journey includes a PhD in Molecular Biology from the Technical University of Berlin (2003–2007) where he studied the type IV secretion-like (T4SLS) system in Enterococcus faecalis, and a postdoctoral fellowship at Karl-Franzens University, Graz (2007–2009) focused on the isolation, purification, and characterization of recombinant proteins of a bacterial Type IV secretion system. His foundational training began with a BSc in Pharmacy (industrial branch) from Aleppo University (1994–1999). In his academic career, he has designed and taught advanced courses in Molecular Biology, Pharmaceutical Biotechnology, and Pharmaceutical Microbiology, while guiding and mentoring graduate and undergraduate students. His research interests span recombinant protein expression and purification, bacterial genetics, pharmacogenetics, gene toxicity, biopharmaceutical compounds, and the discovery and evaluation of new herbal medicines. According to Google Scholar, he has an h-index of 11 and a total citation count nearing 600 (with 61 publications on ResearchGate, 458 citations reported). His publication record includes work on type IV secretion systems (e.g., TraG in pIP501 conjugative plasmid) PMC, antimicrobial/antioxidant studies of plant extracts, nanoparticle-based therapeutics, gene polymorphism analyses, pharmaceutical biotechnology textbooks, and investigational studies (e.g. Molecular diagnosis of cutaneous Leishmaniasis, anti-inflammatory actions of Cedrus libani and Pinus brutia). He has also been recognized with a 2022 patent for a natural gel derived from Cedrus libani and Pinus brutia, and earlier honors including “Best Researcher of the Year” from Aleppo University and the Bronze Medal at Al-Basil Exhibition for his Electronic Drug Reference (ESD) project. He remains active in scientific societies and continues to contribute to interdisciplinary research bridging biotechnology, pharmacology, microbiology, and herbal therapeutics.

Profiles: Scopus | Google Scholar

Nidhika Chauhan | Metaverse | Best Researcher Award

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Dr. Nidhika Chauhan | Metaverse | Best Researcher Award 

Associate Professor in Chandigarh University, India

Dr. Nidhika Chauhan is an accomplished academic leader and researcher currently serving as Associate Professor and Subject Coordinator. With a PhD from Chandigarh University (2024), she previously led the Computer Science and Management departments at Chandigarh University (2016–Jan 2022), where she developed curricula, evaluated programs, delivered lectures in subjects such as Java, SQL, C/C++, Cloud Computing, Research Methodology, and SPSS, and mentored students on research projects and scientific writing. She has coordinated academic events, supervised internships and postgraduate work, managed student queries and assessment processes, and led communication and performance feedback strategies. Her prior roles include working with NIIT Chandigarh and serving as academic counselor. According to Google Scholar her research profile shows 67 citations with an h-index of 4, reflecting her contributions in the fields of cloud computing, optimization in data centers, and hybrid algorithms for resource allocation Google Scholar. Her conference publications include relevant works such as “Energy Efficient Resource Allocation in Cloud Data Center” and “Performance Analysis of Hybrid Optimization Algorithms,” demonstrating her engagement with emerging topics in computing systems and optimization.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications 

Chauhan, N., Jhanjhi, N. Z., Ashfaq, F., & Jasmansyah. (2025, September 16). Metaverse as a catalyst for digital transformation in India’s education sector: Implementation perspectives [Conference paper].

Chauhan, N., & Kaur, N. (2025, February 26). Prediction of clinical drug response using machine learning. In Optimized predictive models in health care using machine learning (pp. 123–140). CRC Press.

Chauhan, N., Kaur, N., Saini, K. S., Verma, S., Alabdulatif, A., Khurma, R. A., Garcia-Arenas, M., & Castillo, P. A. (2024). A systematic literature review on task allocation and performance management techniques in cloud data center. arXiv.

Chauhan, N., Kaur, N., Saini, K. S., & Kaur, M. (2024). Issues in healthcare and the role of machine learning in healthcare. In Optimized predictive models in health care using machine learning (pp. 45–62). Wiley.

Chauhan, N., Kaur, N., Saini, K. S., Verma, S., Abu Khurma, R., & Castillo, P. A. (2024). Maximizing resource efficiency in cloud data centers through knowledge-based flower pollination algorithm (KB-FPA). Computers, Materials & Continua, 78(1), 891–908.

Chauhan, N., Kaur, N., & Saini, K. S. (2023). Performance analysis of knowledge-based optimization algorithm for effective resource allocation. In Proceedings of the 2nd Edition of IEEE Delhi Section Owned Conference (DELCON 2023) (pp. 112–118). IEEE.

Chauhan, N., Kaur, N., & Saini, K. S. (2023). Performance analysis of rules generated hybrid optimization algorithm for resource allocation and migration in the cloud environment. In Proceedings of the 2nd Edition of IEEE Delhi Section Owned Conference (DELCON 2023) (pp. 201–208). IEEE.

Mohamed Taieb Krakdia | Microgrids | Best Researcher Award

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Mr. Mohamed Taieb Krakdia | Microgrids | Best Researcher Award

National Engineering School of Gabes | Tunisia

Dr. Mohamed Taieb Krakdia is a seasoned and highly respected educator and researcher in the field of electrical engineering and renewable energy. Over a distinguished career with Tunisia’s Ministry of Education, he has held roles ranging from secondary school teacher to Principal Teacher, Senior Professor Emeritus of Secondary Education, and currently Distinguished Senior Professor (exceptional degree). His pedagogical journey reflects deep commitment to advancing STEM education and nurturing future generations of engineers. Dr. Krakdia’s academic credentials include an engineer‑level master’s degree in electrical engineering from Université Elhadj Lakhder (Batna, Algeria), followed by a professional master’s specialization in Renewable Energies and Energy Efficiency (ISET, Sidi Bouzid, Tunisia). He is also pursuing PhD research focused on the optimization of renewable energy resources in microgrids at ENIG, Tunisia. His technical repertoire spans a broad spectrum: software tools (Word, Excel, Access, PowerPoint, Internet), programming (C, C++, MikroPascal), simulation platforms (MATLAB, Electronic Workbench), design tools (AutoCAD), and microcontroller development (embedded systems, microC).


Profile: Orcid

Featured Publications

Krakdia, M. T. (2025). Control for a DC microgrid for photovoltaic–wind generation with a solid oxide fuel cell, battery storage, dump load (aqua-electrolyzer), and three-phase four-leg inverter (4L4W). Clean Technologies, 7(3), 79.

Krakdia, M. T. (2024). Sliding-mode and Lyapunov function based control for a DC microgrid with renewable generation, a solid oxide fuel cell, and battery storage. In Green Energy and Technology (pp. [page numbers not available]). Springer.

Surendra Kumar Patel | Friction Stir Processing | Young Scientist Award 

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Dr. Surendra Kumar Patel | Friction Stir Processing | Young Scientist Award 

Shandong University, China

Dr. Surendra Kumar Patel is an accomplished mechanical engineer whose scholarly work focuses on surface composites and metal matrix composites. He earned his PhD in Mechanical Engineering (specializing in Surface Composites) from the National Institute of Technology Mizoram in 2022, with a thesis on the microstructural, mechanical, and tribological properties of WC and ZrSiO₄ particle-reinforced aluminum surface composites fabricated using the friction stir processing (FSP) route. Earlier he received his M.Tech in Mechanical Engineering (specializing in Metal Matrix Composite) from Maulana Azad National Institute of Technology Bhopal (2014), where he studied microstructural analysis and slurry erosion behavior in dual-particle reinforced LM-13 alloy composites, and a B.Tech (2012) from Gautam Buddha Technical University, with early work in wind energy. Since April 2023 he has served as a Post-doctoral Fellow at the School of Materials Science and Engineering, Shandong University, China, working on bioactive reinforced magnesium-based surface composites via FSP, with funding from international and provincial Chinese science foundations. From 2014 to 2017 he was an Assistant Professor in Mechanical Engineering at Radharaman Engineering College, India, teaching undergraduate courses such as Strength of Materials, Fluid Mechanics, Materials Technology, and supervising student projects, also serving as Head of Department for the polytechnic wing. His research output includes ≈ 30 peer-reviewed documents, with total citations around 250, and an h-index of 8 (as of [most recent data]). Dr. Patel is noted for his experimental rigor in fabrication techniques, wear and erosion testing, microstructural characterization, and bridging engineering education with research.

Profiles: Scopus | Google Scholar 

Featured Publications 

Singh, V. P., Patel, S. K., Ranjan, A., & Kuriachen, B. (2020). Recent research progress in solid state friction-stir welding of aluminium–magnesium alloys: A critical review. Journal of Materials Research and Technology, 9(3), 6217–6256.

Singh, V. P., Patel, S. K., & Kuriachen, B. (2021). Mechanical and microstructural properties evolutions of various alloys welded through cooling assisted friction-stir welding: A review. Intermetallics, 133, 107122.

Patel, S. K., Singh, V. P., Roy, B. S., & Kuriachen, B. (2020). Recent research progresses in Al-7075 based in-situ surface composite fabrication through friction stir processing: A review. Materials Science and Engineering: B, 262, 114708.

Singh, V. P., Patel, S. K., Kumar, N., & Kuriachen, B. (2019). Parametric effect on dissimilar friction stir welded steel-magnesium alloys joints: A review. Science and Technology of Welding and Joining, 24(8), 653–684.

Patel, S. K., Kuriachen, B., Kumar, N., & Nateriya, R. (2018). The slurry abrasive wear behaviour and microstructural analysis of A2024-SiC-ZrSiO4 metal matrix composite. Ceramics International, 44(6), 6426–6432.

Patel, S. K., Singh, V. P., Kumar, D., Roy, B. S., & Kuriachen, B. (2022). Microstructural, mechanical and wear behavior of A7075 surface composite reinforced with WC nanoparticle through friction stir processing. Materials Science and Engineering: B, 276, 115476.

Sajan Preet | Energy Systems Design | Best Researcher Award

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Dr. Sajan Preet | Energy Systems Design | Best Researcher Award 

Research fellow at University of Birmingham, United Kingdom

Dr. Sajan Preet is an accomplished researcher and educator with a Ph.D. in Energy Engineering from the Malaviya National Institute of Technology, where his doctoral research focused on the performance evaluation of photovoltaic double-skin façades with forced ventilation in hot climate zones. With a strong foundation in Mechanical Engineering (B.Tech) and Thermal Engineering (M.Tech), he has developed sustainable, energy-efficient building envelopes and heating/cooling systems, and has extensive experience in simulation and modeling tools including IES-VE, DesignBuilder, and EnergyPlus. He currently lectures in Mechanical Engineering at Regent College London, whilst pursuing higher-education pedagogy studies — holding a Postgraduate Certificate in Higher Education (PGCHE) from University of Falmouth and currently undertaking a Postgraduate Certificate in Higher Education Policy (PGCHEP) at University of Birmingham. His research encompasses designing solid-state refrigerant-based zero carbon heating/cooling systems, life-cycle assessments, latent heat storage integration, sensitivity and uncertainty analyses across climatic zones, and contributions to international collaborations. To date, his work has produced over 15 peer-reviewed publications and has garnered approximately 200 citations, giving him an h-index of 8. Driven by a commitment to sustainable energy technologies, he emphasizes student engagement, innovative pedagogy, and aims to contribute to both scholarly impact and real-world solutions in the pursuit of net-zero emissions goals.

Profiles: Scopus | Orcid | Google Scholar 

Featured Publications 

Preet, S., Bhushan, B., & Mahajan, T. (2017). Experimental investigation of water-based photovoltaic/thermal (PV/T) system with and without phase change material (PCM). Solar Energy, 155, 1104–1120.

Preet, S. (2018). Water and phase change material based photovoltaic thermal management systems: A review. Renewable and Sustainable Energy Reviews, 82, 791–807.

Preet, S., & Smith, S. T. (2024). A comprehensive review on the recycling technology of silicon based photovoltaic solar panels: Challenges and future outlook. Journal of Cleaner Production, 448, 141661.

Preet, S., Mathur, J., & Mathur, S. (2022). Influence of geometric design parameters of double skin façade on its thermal and fluid dynamics behavior: A comprehensive review. Solar Energy, 236, 249–279.

Preet, S., Sharma, M. K., Mathur, J., Chowdhury, A., & Mathur, S. (2020). Performance evaluation of photovoltaic double-skin façade with forced ventilation in the composite climate. Journal of Building Engineering, 32, 101733.

Preet, S. (2021). A review on the outlook of thermal management of photovoltaic panel using phase change material. Energy and Climate Change, 2, 100033.

Preet, S., Sharma, M. K., Mathur, J., Chowdhury, A., & Mathur, S. (2023). Analytical model of semi-transparent photovoltaic double-skin façade system (STPV-DSF) for natural and forced ventilation modes. International Journal of Ventilation, 22(2), 138–167.

Sharma, M. K., Preet, S., Mathur, J., Chowdhury, A., & Mathur, S. (2021). Parametric analysis of factors affecting thermal performance of photovoltaic triple skin façade system (PV-TSF). Journal of Building Engineering, 40, 102344.

Atsushi Fukuyama | Waves in Plasmas | Best Researcher Award 

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Prof. Atsushi Fukuyama | Waves in Plasmas | Best Researcher Award 

Kyoto University, Japan

Prof. Atsushi Fukuyama is a distinguished Japanese researcher in fusion plasma physics, with a Dr.Eng. in Electronics from Kyoto University (1980), where he also earned his M.S. and B.A. in Electronics. Over more than four decades, he has made pivotal contributions to modelling of RF heating and current drive, lower hybrid wave heating, transport phenomena, plasma control, and integrated modelling of fusion plasmas. His academic appointments include Professor of Nuclear Engineering at Kyoto University (1998-2017), Visiting Professor at the National Institute for Fusion Science, senior research roles at ITER Organization, and earlier positions at Okayama University and research institutes. He has published extensively: according to Google Scholar, he has h-index = 44, over 300 documents, and more than 7,000 citations to his work. His long-list of publications includes foundational theoretical and modelling papers on nonlinear wave-plasma interactions, ion cyclotron harmonic effects, global transport in tokamaks, propagation and absorption of RF waves (e.g. lower hybrid, ICRF etc.). In addition, Prof. Fukuyama has held leadership roles such as Deputy Director and Director of ICT/Engineering units at Kyoto University; served on national and international fusion and plasma physics bodies such as ITER, ITPA, IFERC, MEXT committees; and has been recognized multiple times with awards from The Japan Society of Plasma Science & Nuclear Fusion Research for excellence in research publication.

Profiles: Scopus | Orcid | Google Scholar | Staff Page

Featured Publications 

Khan, S. A., & Fukuyama, A. (2025). Kinetic full-wave analysis of injected electromagnetic wave in an inhomogeneous hot plasma. Physical Review E, 102(4).

Seino, T., Yanagihara, K., Takahashi, H., Tobita, K., Nagasaki, K., Fukuyama, A., Matsuyama, A., Oishi, T., & Maekawa, T. (2024). Systematic numerical analysis of ECCD exploring injection conditions with high CD efficiency and current profile controllability in JA DEMO. Fusion Engineering and Design, 114, Article 114460.

Khan, S. A., & Fukuyama, A. (2021). On kinetic electrostatic plasma waves carrying orbital angular momentum. Physics of Plasmas, 28(7), 072105.

Ido, T., Fujisawa, A., Takemura, K., Kobayashi, T.-K., Nishimura, D., Kasuya, N., Fukuyama, A., Moon, C., Yamasaki, K., Inagaki, S., et al. (2021). Conceptual design of heavy ion beam probes on the PLATO tokamak. Review of Scientific Instruments, 92(5), 053501.

Na, Y.-S., Koechl, F., Polevoi, A. R., Byun, C. S., Na, D. H., Seo, J., Felici, F., Fukuyama, A., Garcia, J., Hayashi, N., et al. (2019). On benchmarking of simulations of particle transport in ITER. Nuclear Fusion, 59(7), 076036.

Hanada, K., Yoshida, N., Honda, T., Wang, Z., Kuzmin, A., Takagi, I., Hirata, T., Oya, Y., Miyamoto, M., Zushi, H., et al. (2017). Investigation of hydrogen recycling in long-duration discharges and its modification with a hot wall in the spherical tokamak QUEST. Nuclear Fusion, 57(12), 126061.

Juliana Eccher | Physics of Condensed Matter | Best Researcher Award 

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Prof. Juliana Eccher | Physics of Condensed Matter | Best Researcher Award 

Universidade Federal de Santa Catarina, Brazil

Prof. Juliana Eccher is a distinguished physicist specialising in liquid crystals, organic electronics, and optoelectronic devices. She earned her PhD in Physics from Universidade Federal de Santa Catarina (UFSC), Brazil in 2014 under the supervision of Ivan Helmuth Bechtold, following her MSc (2010) and dual undergraduate degrees in Licenciatura (2006) and Bacharelado (2008) in Physics, also from UFSC. She holds a CNPq Research Productivity scholarship (Level C) and has been deeply involved in research and education in exact and earth sciences since. Prof. Eccher has published over 27 academic documents, which have together amassed approximately 575 citations, and her h-index stands at 12. Her work focuses on the synthesis, characterisation and application of discotic and columnar liquid crystals, organic semiconductors, doped nanocomposites including metallic nanoparticles and carbon nanotubes, and thin-film alignment techniques for advanced optoelectronic and photovoltaic devices. She has led and participated in multiple funded research projects domestically and internationally, including Projects in organic charge transfer, solar cell applications, and photophysics of luminescent liquid crystals. Her contributions also include supervising graduate and postgraduate students, coordinating extension and outreach activities, and regularly reviewing for international journals. Proficient in laboratory techniques for structural, optical, and electronic characterisation, she integrates research with teaching and community engagement to advance both scientific knowledge and application in sustainable technologies.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications 

Stadtlober, C. H., Olegario, J. E. S., Mezalira, D. Z., Bock, H., Franca, L. G., Monkman, A. P., & Eccher, J. (2025). Homeotropic alignment and delayed fluorescence of thin films of a columnar liquid crystal doped with multiwalled carbon nanotubes. Liquid Crystals. Advance online publication.

Liguori, D., Kern, B. S., Eising, R., Mezalira, D. Z., Nome, R. C., Ely, F., Gallardo, H., Bock, H., Bechtold, I. H., & Eccher, J. (2025). Surface plasmon-dependent photoluminescence in a columnar liquid crystal doped with metallic nanoparticles. Liquid Crystals. Advance online publication.

Avila, L. B., Chulkin, P., Serrano, P. A., Dreyer, J. P., Berteau-Rainville, M., Orgiu, E., Franca, L. D. L., Zimmermann, L. M., Bock, H., Faria, G. C., … (2024). Perylene-based columnar liquid crystal: Revealing resistive switching for nonvolatile memory devices. Journal of Molecular Liquids, 413, 124757.

Alves, A. L., Bernardino, S. V., Stadtlober, C. H., Girotto, E., Farias, G., do Nascimento, R. M., Curcio, S. F., Cazati, T., Dotto, M. E. R., Eccher, J., … (2023). Charge carrier transport in perylene-based and pyrene-based columnar liquid crystals. Beilstein Journal of Organic Chemistry, 19, 128.

Silva, F. N., Luciano, H. M., Stadtlober, C. H., Farias, G., Durola, F., Eccher, J., Bechtold, I. H., Bock, H., Gallardo, H., & Vieira, A. A. (2023). Dissymmetric triaryltriazines: Small mass columnar glasses. Chemistry – A European Journal, 29(46), e202301319.