Xinyu Chen | Electrical Engineering | Best Researcher Award

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Ms. Xinyu Chen | Electrical Engineering | Best Researcher Award 

Student | Zhengzhou University of Light Industry | China

Chen Xinyu is a dedicated electrical engineer specializing in R&D testing, electrical systems, and power automation, with academic training covering electrical equipment, power electronics, energy utilization, high voltage technology, relay protection, and power system analysis. She has gained professional experience through internships at Jintai Can Manufacturing, where she worked as a CAD drafting intern, and at Great Wall Motors as an equipment administrator, ensuring safe and stable machinery operations. Her research contributions include developing intelligent systems for monitoring and predicting cable insulation status, conducting in-depth studies on fault diagnosis of power electronic converters using deep learning, and designing advanced methods for partial discharge localization with optimized algorithms, leading to both publications and patents. Her research interests focus on intelligent fault prediction, deep learning applications in converter diagnostics, optimization methods for complex power environments, and predictive maintenance technologies. Recognized with scholarships, technical certifications, and competition awards, she is proficient in tools such as COMSOL, CAD, SolidWorks, MATLAB, Python, and Origin. Combining adaptability, proactive learning, teamwork, and communication skills, she demonstrates resilience and diligence, positioning herself to make valuable contributions to both industry and research while upholding professional excellence.

Profile:  Scopus 

Featured Publications

An, X. (2026). Multi-path propagation homogenization and partial discharge localization method utilizing a multi-mode optimized Squirrel search algorithm. Electric Power Systems Research, 226, 107276.

 

 

 

 

 

Guobiao Wang | Optimum Design | Best Researcher Award

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Prof. Guobiao Wang | Optimum Design | Best Researcher Award

Professor | Tianjin University | China 

Prof. Wang Guobiao is a distinguished scholar in mechanical engineering, a Professor and PhD Supervisor at Tianjin University, and Executive Vice President and Legal Representative of the Chinese Mechanical Engineering Society. He earned his doctorate in mechanical engineering following his undergraduate studies and postdoctoral research, and has held key academic and administrative positions at leading Chinese universities as well as senior leadership roles at the National Natural Science Foundation of China. His research spans laser manufacturing, additive manufacturing, intelligent manufacturing, and advanced equipment design, fields in which he has led numerous national and regional research and development projects and guided significant innovation. He has published more than  547 citations from 530 documents, 46 indexed publications, and an h-index of 10, reflecting his academic impact. In addition to his research, Prof. Wang has been recognized through appointments to prestigious editorial boards, scientific committees, and professional societies, contributing to the advancement of engineering science and technology. His career demonstrates a sustained commitment to research excellence, academic leadership, and the promotion of innovation-driven development in mechanical engineering.

Profile:  Scopus 

Featured Publications

2026. Methodology for cable network design and error analysis with high engineering consistency. Aerospace Science and Technology.

2025. Precise and robust shape sensing considering sensor placement and measurement uncertainties. Composite Structures.

2025. Physics-assisted feature-augmented metamodels to predict the keyhole geometry in laser additive manufacturing. Additive Manufacturing.

2025. Asynchronous deployment scheme and multibody modeling of a ring-truss mesh reflector antenna. Acta Mechanica Sinica (Lixue Xuebao).

Artem Romanovskii | 3D Modelling In Surgery | Best Researcher Award

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Mr. Artem Romanovskii | 3D Modelling In Surgery | Best Researcher Award 

Student | First Moscow State Medical University | Russia

Artem A. Romanovskii, based in Russia, is a medical student at Sechenov University with a strong academic foundation in surgery and oncology, with additional interest in congenital heart diseases. He has contributed to research focusing on computer-assisted 3D navigation and topographic anatomical landmarks for improving surgical precision in gastric cancer, as well as the application of 3D modeling in reconstructive surgery of the esophagogastric junction to enhance intraoperative navigation and reduce complications. His research interests center on oncology, surgical innovation, and the integration of advanced technologies such as 3D modeling and navigation systems in clinical practice. Dedicated to advancing medical science, he has actively published in reputable journals and demonstrated strong commitment to academic and clinical excellence. With a growing body of research contributions, he continues to develop expertise in surgery and oncology, aspiring to make meaningful impacts in patient care and the broader medical community.

Profile: Orcid

Featured Publications

Khorobrykh, T. V., Agadzhanov, V. G., Kadirov, D. D., Romanovskii, A. A., Salikhov, R. E., & Galyautdinov, A. F. (2025, September 22). 3D modeling in reconstructive surgery of the esophagogastric junction: Clinical case. Moscow Surgical Journal.

Khorobrykh, T., Agadzhanov, V., Grachalov, A., Ivashov, I., Spartak, A., Romanovskii, A., Drach, Y., & Kharkov, D. (2025, September 5). Topographic and anatomical landmarks of key points in embryologically guided surgery for locally advanced gastric cancer using computer-assisted 3D navigation. Journal of Clinical Medicine, 14(17), 6282.

Jian-Hong Wang | Computer Technology | Best Researcher Award

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Prof. Jian-Hong Wang | Computer Technology | Best Researcher Award 

Professor | Shandong University of Technology | China

Prof. Jian-Hong Wang is a professor in the Department of Computer Science and Technology at Shandong University of Technology, China, specializing in areas such as bandwidth guarantee of networks, online audio and video synchronization technology, wireless networks admission control, IoT control, efficient management for wireless multimedia devices, smart building, virtual reality human–robot interaction, and big data analytics. He earned his doctorate from National Chung Cheng University, Taiwan, and has since built an extensive academic career marked by research, teaching, and leadership. His professional experience includes serving as a faculty member at Shandong University of Technology, where he has actively contributed to advancing computer science and technology through both theoretical and applied research. His scholarly output includes numerous influential publications in high-impact journals and international conferences, covering topics such as fault-tolerant content management, disease-related SNP detection, brain network community analysis, real-time streaming systems, admission control policies, optical data hiding, and multimedia communication systems. Prof. Wang’s research interests lie in integrating computational intelligence with network systems, smart technologies, and human–robot interaction to address emerging challenges in wireless communications, data management, and digital applications. He has been recognized for his academic contributions through multiple publications, collaborations, and professional activities, establishing his reputation as a dedicated researcher and educator committed to fostering innovation and knowledge dissemination.

Profile:  Orcid 

Featured Publications

Wang, H.-Y., Wang, J.-H., Zhang, J., & Tai, H.-W. (2024). The collaborative interaction with Pokémon-Go robot uses augmented reality technology for increasing the intentions of patronizing hospitality. Information Systems Frontiers. Advance online publication.

Tran, N. C., Wang, J.-H., Vu, T. H., Tai, T.-C., & Wang, J.-C. (2023). Anti-aliasing convolution neural network of finger vein recognition for virtual reality (VR) human–robot equipment of metaverse. The Journal of Supercomputing, 79(2), 1690–1708.

Lo, C.-M., Wang, J.-H., & Wang, H.-W. (2022). Virtual reality human–robot interaction technology acceptance model for learning direct current and alternating current. The Journal of Supercomputing, 78(18), 20229–20249.

Xiao, L., Feng, J., Niu, X., Wang, J.-H., & Lv, J. (2022). Using competitive binary particle swarm optimization algorithm for matching sensor ontologies. Mobile Information Systems, 2022, Article 2207252.

Feng, J., Niu, X., Zhang, J., Wang, J.-H., & Lee, C.-Y. (2022). Gene selection and classification of scRNA-seq data combining information gain ratio and genetic algorithm with dynamic crossover. Wireless Communications and Mobile Computing, 2022, Article 9639304.

Lian, W., Fu, L., Niu, X., Feng, J., Wang, J.-H., & Xue, X. (2022). Solving sensor ontology metamatching problem with compact flower pollination algorithm. Wireless Communications and Mobile Computing, 2022, Article 9662517.

 

 

 

 

Anaïs Lavrand | Tissue Engineering | Young Researcher Award

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Mrs. Anaïs Lavrand | Tissue Engineering | Young Researcher Award

PhD student | University of Reims Champagne-Ardenne | France

Anaïs Lavrand is a PhD student in tissue engineering with expertise in the physico-chemical and biological characterization of collagen and Wharton’s jelly hydrogels and their applications in 3D bioprinting for tissue regeneration. She holds an engineering diploma in biology and a diploma in pharmaceutical processes. Anaïs has actively contributed to scientific research through multiple oral, poster, and flash presentations at international conferences, receiving Best Poster and Best Oral Presentation awards. Her research focuses on developing multifunctional, biocompatible hydrogels with antibacterial, antioxidant, osteocompatible, and regenerative properties. She has published in peer-reviewed journals and actively participates in scientific outreach, including high school interventions and science promotion contests. Her work demonstrates innovation in tissue engineering, combining fundamental research, translational applications, and public engagement, reflecting both academic excellence and societal impact.

Profile:  Orcid 

Featured Publications

Lavrand, A., Adam, L., Da Rocha, A., Lemaire, F., Loth, C., Baldit, A., Vasseaux, M., Van Gulick, L., Beljebbar, A., Augusto, P., Berquand, A., Salameh, C., Nassif, N., Boulmedais, F., Mauprivez, C., Brenet, E., & Kerdjoudj, H. (2025). Hydrogels from Wharton’s jelly as alternative to conventional extracellular matrix-based constructs. International Journal of Biological Macromolecules, 328(Part 1), Article 147552.

 

 

 

 

Hemantkumar Kadam | Heat Transfer | Best Researcher Award

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Mr. Hemantkumar Kadam | Heat Transfer | Best Researcher Award

Asst. Professor | Pimpri Chinchwad College of Engineering, Pune | India

Mr. Hemantkumar Hindurao Kadam, Assistant Professor at Pimpri Chinchwad College of Engineering, Pune, is a distinguished researcher pursuing a Ph.D. in Mechanical Engineering at Shivaji University, Kolhapur, with a focus on nanofluids, surfactants, stability, and heat transfer enhancement. He holds an M.Tech in Thermal Engineering and a B.E. in Mechanical Engineering (Mumbai University), and is currently conducting experimental studies on nanofluids stabilized with biosurfactants and synthetic surfactants at Govt. College of Engineering, Karad. His research has resulted in peer-reviewed publications in SCIE and ESCI journals, granted copyrights (“Easy steps to draw an involute” and “Development of Lateral Surfaces”), a patent under process and professional contributions to renewable energy, HVAC, and electronic cooling systems. He has experimentally investigated the influence of surfactant type and concentration on viscosity, interfacial tension, and stability of nanofluids, demonstrating the comparative environmental and performance benefits of biosurfactants such as Rhamnolipids. His work, recognized through 4 citetation and 4 documents (h-index = 1), reflects significant innovation, methodological rigor, and potential for sustainable thermal management solutions, making him an excellent candidate for the Best Research Award.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Influence of rhamnolipids, anionic surfactants, and Al₂O₃ nanoparticles on the viscosity of distilled water-based fluids: A comparative experimental study. Journal/Conference Name, volume(issue), pages.

 

Hui Zheng | Bioengneering | Best Researcher Award

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Dr. Hui Zheng | Bioengneering | Best Researcher Award 

Program Leader | Hunan University | China

Dr. Zheng Hui is a researcher specializing in biomedical materials with a strong background in clinical medicine and orthopedics, holding a Ph.D. in Biomedical Materials from Hunan University, an M.S. in Orthopedics from Southern Medical University, and a B.S. in Clinical Medicine from Jiujiang University. He has combined medical training with advanced research in biomaterials and tissue engineering, with expertise in bone and cartilage tissue engineering, piezoelectric biomaterials, the molecular mechanisms of osteoarthritis, and the clinical translation of biomedical materials. His innovative work has been published in high-impact journals such as Acta Biomaterialia, Materials Today Bio, and the Journal of Orthopaedic Translation, earning recognition and awards for his contributions to bone and cartilage regeneration and biomaterials research. With 20 citations across 20 documents, 2 indexed publications, and an h-index of 2, he demonstrates growing international impact, and his multidisciplinary expertise bridging clinical medicine and advanced biomaterials positions him as a promising scientist with strong potential to advance regenerative medicine through novel biomaterials, piezoelectric scaffolds, immunomodulation, and translational strategies.

Profile: Scopus

Featured Publications

Zheng, H., Fang, J., Hu, S., Xie, D., Fang, H., & Zhang, R. (2024). TCF12 regulates the TGF-β/Smad2/3 signaling pathway to accelerate the progression of osteoarthritis by targeting CXCR4. Journal of Orthopaedic Translation, 44, 35–46.

 

Weijie Wang | Material Measurement | Best Researcher Award

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Assist. Prof. Dr. weijie wang | Material Measurement | Best Researcher Award

Assistant Professor | Southwest Jiaotong University | China

Dr. Weijie Wang received his Ph.D. degree from the University of Electronic Science and Technology of China in 2024. He is currently serving as an Assistant Professor at the School of Physical Science and Technology, Southwest Jiaotong University. His research research interests include dielectric properties measurement and modeling, high-power vacuum devices, and millimeter-wave technologies.Dr. Wang has participated in multiple national-level projects and resolved several key technological challenges, including precise materials dielectric properties measurement in millimeter-wave frequency bands, the development of high-power microwave sources, and and innovations in pulse compression techniques. He published nearly 30 papers for several academic journals.His publications in journals such as IEEE Transactions on Microwave Theory and Techniques, IEEE Electron Device Letters, and Measurement Science and Technologyreflect wide recognition of his work by the scientific community. In addition to his research activities, Dr. Wang serves as a reviewer and editorial assistant for several academic journals, supporting the dissemination of knowledge in his field. His current work focuses on extending measurement methodologies to accurately assess the dielectric properties of biological tissues across microwave to terahertz frequency ranges. This research aims to advance the use of electromagnetic technology in biomedical applications and other cutting-edge domains, contributing to both theoretical and practical advancements in the field.

Profile: Orcid

Featured Publications

W. J. Wang, G. Liu, Y. Wang, W. Jiang, Q. Zheng, J. X. Wang, and Y. Luo. A more accuratemeasurement method of the dielectric material properties with high tolerance using anovermoded waveguide. IEEE Transactions on Microwave Theory and Techniques, 2022, 70(4):2363-2369

W. J. Wang, G. Liu, W. Jiang, Y. Pu, J. X. Wang, and Y. Luo. Design and measurement of abroadband compact TE11 mode input coupler for an X-band gyrotron traveling wave tube.IEEE Transactions on Microwave Theory and Techniques, 2020, 68(11): 4554–4559

W. J. Wang, Y. J. Cao, G. Liu, Y. L. Yao, W. Jiang, J. X. Wang and Y. Luo. A water-based lossywaveguide with high attenuation used in high power gyro-TWT. IEEE Electron Device Letters,2024, 45(7): 1325-1328

W. J. Wang, G. Liu, W. Jiang, Z. W. Wu, Y. L. Yao, Y. L. Pu, J. X. Wang, and Y. Luo. Microwavemeasurement of a compact circular TE11 mode coupler loaded with ridges[J]. IEEE Transactionson Electron Devices, 2021, 68(1): 359–363

W. J. Wang, Y. J. Cao, Y., Wang, T. et al. Accuracy Permittivity Measurement at W-Band Using a High Overmoded Factor Based on the Multi-channel Waveguide. J. Infrared. Milli. Terahz. Waves, 2025, 46(63)

W. J. Wang, W. Jiang, Y. L. Yao, J. X. Wang and G. Liu. An improved waveguide method foraccurate complex permittivity measurement of medium/high-loss material. MeasurementScience and Technology, 2024, 35:066005

W. J. Wang, G. Liu, Y. J. Cao, B. L. Chen, Y. L. Yao, Y. Wang, X. Q. Gong, W. Jiang, J. X. Wang,and Y. Luo. Theory and measurement of the single and hybrid-mode excitation and evolution ina lossy-dielectric-loaded waveguide. Journal of Electromagnetic Waves and Applications,2023, 37(4): 510-523

W. J. Wang, W. Jiang, Y. L. Yao, J. X. Wang and G. Liu. An air gap correction method forpermittivity extraction of high-loss materials. Journal of Electromagnetic Waves andApplications, 2024, 38(13): 1435-1449

 

 

 

Fnu Neha | Biomedical Imaging | Best Researcher Award

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Ms. Fnu Neha | Biomedical Imaging | Best Researcher Award

PhD Candidate | Kent State University | United States

Neha is a Ph.D. candidate in Computer Science at Kent State University, specializing in artificial intelligence, deep learning, biomedical image processing, and medical informatics, with her dissertation focused on developing advanced AI-driven frameworks for detecting and classifying renal tumors using CT scans integrated with radiographic and biopsy-based features. She has completed undergraduate and postgraduate degrees in computer applications with top academic distinction and further strengthened her expertise with certifications in AI, deep learning, and data analytics from globally recognized platforms. Her professional experience spans roles as Graduate Assistant and Research Assistant at Kent State University, Assistant Professor at leading institutions in India, software developer, and quality assurance trainee, contributing to both academic innovation and applied computing solutions. Her research has produced more than twenty scholarly publications across international journals and conferences, complemented by co-authoring a book on generative AI, and she has actively contributed as a reviewer and program committee member for international conferences and journals. Recognized with multiple awards including outstanding teaching and women in computing honors, as well as international travel grants, she has demonstrated excellence in both research and teaching while serving in leadership roles such as chairperson of ACM-W and the Graduate Student Association. With over 100 citations by 92 documents, 22 indexed publications, and an h-index of 5, her scholarly impact is evident, and she is strongly positioned to pursue an academic career that advances AI-driven healthcare innovation while fostering research, teaching, and community engagement.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Bhati, D., Neha, F., Guercio, A., Amiruzzaman, M., & Kasturiarachi, A. (Eds.). (n.d.). A beginner’s guide to generative AI: An introductory path to diffusion models, ChatGPT, and LLMs.

[Author(s)]. (n.d.). Clarifying confounders in genotype-negative HCM: A call for nuanced research approaches.

Mohamed Amine ES-SOUFI | Civil Engineering | Young Researcher Award

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Mr. Mohamed Amine ES-SOUFI | Civil Engineering | Young Researcher Award

Research Assistan | university of bordeaux | France

Mohamed Amine Es-Soufi is an engineer and doctoral researcher in civil engineering, specialized in soil and material studies with a strong experimental and analytical approach applied to geotechnics, structures, and environmental engineering. He holds dual engineering diplomas in civil engineering from Polytech Clermont-Ferrand and the Ecole Hassania des Travaux Publics, after completing preparatory classes in Morocco with a top national ranking and earning a mathematics-focused baccalaureate with highest honors. His professional background includes research and development experience at Soletanche Bachy International, site management training with Colas Rhône Alpes Auvergne, and teaching responsibilities in soil mechanics and slope stability at the IUT of Bordeaux. His doctoral research at the University of Bordeaux in collaboration with Geotec focuses on the behavior of clayey soils under drought cycles, shrink-swell phenomena, and the development of innovative stabilization techniques using nano-silica to enhance soil performance and reduce volumetric variations. His research interests center on geotechnical engineering, soil-structure interaction, sustainable construction materials, and environmental resilience of infrastructure. He has presented his work at leading national and international conferences and achieved recognition through awards such as the Public Prize and Jury distinctions in the competition. Combining academic excellence, practical engineering expertise, and innovative research, he demonstrates strong potential to advance geotechnical solutions for infrastructure durability and environmental sustainability.

Profile: Orcid | Google Scholar

Featured Publications

Es-Soufi, M. A. (2023). Étude du potentiel de gonflement et de retrait des sols argileux sous chaussée des routes des marais. Academic Journal of Civil Engineering, 41(1), 293–302.

Es-Soufi, M. A. (2024). Effets de la dessiccation sur le retrait et la fissuration des sols argileux sous chaussée. Academic Journal of Civil Engineering, 42(1), 680–689.

Es-Soufi, M. A. (2025). Effets des cycles de séchage/humidification et de la nano-silice sur la stabilisation des sols argileux sous-chaussée. Academic Journal of Civil Engineering, 43(1), 1137–1147.