Zhixue Tian | Material Science | Best Researcher Award

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Dr. Zhixue Tian | Material Science | Best Researcher Award

Dr. Zhixue Tian | Hebei Normal University | China

Dr. Zhixue Tian is an Associate Professor at the College of Physics and Information Engineering, Hebei Normal University, China. His research centers on first-principles calculations of material surfaces and interfaces, with a strong focus on understanding catalytic mechanisms, segregation behavior, and electronic and magnetic properties in complex systems. He earned his Ph.D. in Materials Physics and Chemistry from the University of Science and Technology Beijing, where he studied grain boundary embrittlement in metals using first-principles methods. He later conducted advanced research at Osaka University and Kyoto University in Japan under the guidance of Prof. Yoshitada Morikawa, investigating the segregation behavior of precious metals at perovskite surfaces. Dr. Tian has contributed extensively to computational materials science, employing methods such as Density Functional Theory with codes like VASP, STATE, QuantumEspresso, WIEN2K, and CASTEP. His studies have advanced understanding in fields such as surface chemistry, heterostructure interfaces, and catalytic processes, with numerous publications in high-impact journals including Applied Surface Science, Physical Chemistry Chemical Physics, Nano Letters, and ACS Applied Materials & Interfaces. In addition to his research, he teaches Solid State Physics and is proficient in Unix and Windows systems as well as FORTRAN programming, bringing both theoretical and computational expertise to his academic and scientific endeavors.

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Ludovica Di Renzo | Research Excellence | Women Researcher Award

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Dr. Ludovica Di Renzo | Research Excellence | Women Researcher Award 

Dr. Ludovica Di Renzo | Istittuto Zooprofilattico Sperimentale G.Caporale | Italy

Dr. Ludovica Di Renzo is an accomplished veterinary researcher specializing in marine animal health, wildlife pathology, and aquaculture sustainability. With a career devoted to understanding the effects of emerging diseases, pollutants, and environmental stressors on aquatic species, she has made significant contributions to marine ecosystem monitoring and animal welfare. Currently serving as a Researcher at the Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “G. Caporale”, she brings extensive experience in diagnostics of wild and stranded marine animals, including necropsy, histology, parasitology, cytology, and molecular diagnostics. Her research also extends to microplastics detection and the assessment of their biological impacts on marine organisms. Dr. Di Renzo holds a Doctor of Veterinary Medicine (DVM), a PhD in Veterinary Medical Sciences, Public Health, and Animal Welfare, along with postgraduate specializations in Laboratory Animal Science and Medicine and dual second-level master’s degrees in Aquaculture of the Future and Healthcare Management and Administration. Her interdisciplinary background bridges veterinary pathology, marine ecology, and environmental biotechnology, positioning her at the forefront of integrated marine health research. She is the author and co-author of over 35 peer-reviewed scientific publications featured in leading journals such as Pathogens, Marine Pollution Bulletin, Environmental Pollution, Animals, PLoS One, and Scientific Reports. Her impactful work on cetacean diseases, sea turtle health, microplastics contamination, and zoonotic pathogens has earned her international recognition, contributing to global marine conservation efforts. Beyond her research, Dr. Di Renzo actively participates in national scientific boards and committees on aquaculture and wildlife health, providing expert advisory input for policy and conservation strategies. She has delivered numerous presentations at international conferences including the European Cetacean Society, World Marine Mammal Conference, and International Sea Turtle Symposium, sharing insights into the health challenges facing marine wildlife. Fluent in Italian and English, with intermediate Portuguese proficiency gained through Erasmus experience at the University of Lisbon, she also dedicates her time to volunteer work with Centro Studi Cetacei Onlus and Sub Loto, supporting marine rescue and rehabilitation initiatives. Dr. Ludovica Di Renzo’s scholarly impact is reflected in 36 documents, 318 citations, and an h-index of 11, underscoring her sustained contributions to advancing veterinary and marine science globally.

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Featured Publications

Di Renzo, L., Mariani, G., Matiddi, M., Silvestri, C., Chiesa, S., Petochi, T., Marino, G., Pizzurro, F., Fazio, S., Rossi, E., et al. (2025, October 6). First survey on sea turtles’ interactions in mussel farms in Italy. Animals, 15(19), 2909. https://doi.org/10.3390/ani15192909

Pizzurro, F., Nerone, E., Di Domenico, M., Ancora, M., Mincarelli, L. F., Salini, R., Di Renzo, L., Fazio, S., & Recchi, S. (2025, April 3). Realistic environmental exposure of microplastics in European flat oyster, Ostrea edulis: Evaluation of accumulation and depuration under controlled conditions and molecular assessment of a set of reference genes. Water, 17(7), 1063. https://doi.org/10.3390/w17071063

Di Febo, T., Di Francesco, G., Grattarola, C., Sonsini, L., Di Renzo, L., Lucifora, G., Puleio, R., Di Francesco, C. E., Smoglica, C., Di Guardo, G., et al. (2025, January 2). Serological diagnosis of Brucella infection in cetaceans by rapid serum agglutination test and competitive ELISA with Brucella abortus and Brucella ceti as antigens. Pathogens, 14(1), 26. https://doi.org/10.3390/pathogens14010026

Grattarola, C., Pietroluongo, G., Belluscio, D., Berio, E., Canonico, C., Centelleghe, C., Cocumelli, C., Crotti, S., Denurra, D., Di Donato, A., et al. (2024, September). Pathogen prevalence in cetaceans stranded along the Italian coastline between 2015 and 2020. Pathogens, 13(9), 762. https://doi.org/10.3390/pathogens13090762

Di Renzo, L., De Angelis, M. E., Torresi, M., Mariani, G., Pizzurro, F., Mincarelli, L. F., Esposito, E., Oliviero, M., Iaccarino, D., & Di Nocera, F., et al. (2024, April 18). Genomic characterization of Listeria monocytogenes and other Listeria species isolated from sea turtles. Microorganisms, 12(4), 817. https://doi.org/10.3390/microorganisms12040817

Zohrab Adavi | Agricultural Technology | Best Researcher Award

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Assoc. Prof. Dr. Zohrab Adavi | Agricultural Technology | Best Researcher Award

Assoc. Prof. Dr. Zohrab Adavi | Payame Noor University | Iran  

Dr. Zohrab Adavi is a respected Professor of Agronomy at Payame Noor University, Tehran, Iran, whose research focuses on improving crop resilience and advancing sustainable agricultural practices. His academic journey includes valuable research experience at Isfahan University of Technology, where he deepened his expertise in plant stress responses and soil-plant interactions. Dr. Adavi’s work explores drought and salinity tolerance, phytoremediation of contaminated soils, and the role of beneficial microorganisms such as arbuscular mycorrhizas in enhancing plant growth. He has also contributed to the improvement of essential oil quality and environmentally friendly cultivation methods. Through his studies, he promotes sustainable farming systems that balance productivity with ecological preservation, addressing global challenges in food security and climate change adaptation.

Keyi Chen | AI Advancements | Best Researcher Award

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Mr. Keyi Chen Jihua Laboratory | AI Advancements | Best Researcher Award

Mr. Keyi Chen | Jihua Laboratory | China

Keyi Chen is a dedicated research engineer at Jihua Laboratory, Foshan, Guangdong Province, China. He obtained his MSc in Crop Informatics from Huazhong Agricultural University , where he built a strong foundation in computational modeling and artificial intelligence applications. His research primarily focuses on deep learning algorithms, particularly their integration into computer-based recognition systems and intelligent environmental analysis. He has completed three research projects and participated in one industry consultancy project, demonstrating both academic and applied innovation. His current research explores AI-driven recognition of marine microalgae, an essential area for assessing aquatic ecological health. In this domain, Chen developed a ResNeXt-50-based multi-expert network with an exponential feature compression mechanism that effectively mitigates class imbalance issues. Evaluated on the WHIO-Plankton dataset, his model achieved a state-of-the-art performance with an average precision and average recall , outperforming existing baselines. The system’s low inference latency demonstrates high real-time feasibility. His contributions provide a robust framework for marine microalgae recognition, supporting environmental monitoring and marine life science research. With Citations by 38 documents, 3 publications, and an h-index of 2, Chen has established himself as a rising researcher in applied AI and computational biology. His ongoing innovations signify impactful potential in environmental intelligence, sustainable technology, and bioinformatics applications.

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Featured Publications

Chen, K., Cui, S., Zhong, J., & Wang, Q. (2025). MicroalgaeNet: Enhancing recognition of long-tailed marine microalgae images through multi-expert networks and feature compression. Algal Research, 92, 104333. https://doi.org/10.1016/j.algal.2025.104333

Song, P., Chen, K., Zhu, L., Yang, M., Ji, C., Xiao, A., Jia, H., Zhang, J., & Yang, W. (2022). An improved cascade R-CNN and RGB-D camera-based method for dynamic cotton top bud recognition and localization in the field. Computers and Electronics in Agriculture, 202, 107442. https://doi.org/10.1016/j.compag.2022.107442

Xu Boyang | Environmental Science | Best Researcher Award

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Mr. Xu Boyang | Environmental Science | Best Researcher Award

Mr. Xu Boyang | Zhejiang Financial College | China

Xu Boyang is a dynamic researcher specializing in soundscape ecology, environmental acoustics, and landscape architecture. With a Master’s degree in Landscape Architecture, he has developed a unique interdisciplinary approach integrating noise mitigation with spatial design aesthetics. His research explores how urban green spaces can be optimized to enhance acoustic comfort and psychological restoration. Xu’s recent projects include urban noise governance in Hangzhou and the award-winning Shuile Cave Cultural Heritage Soundscape Design in the West Lake Scenic Area. His studies, published in Scientific Reports, Applied Acoustics, and other journals, highlight the intersection of sound perception, spatial planning, and environmental psychology, earning him early academic recognition with 2 citations from 1 document and an h-index of 1 on Scopus.

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Featured Publications

Zhang, X., Li, Y., Chen, M., Wang, L., & Xu, B. (2025). Are natural soundscapes always beneficial? Evaluating the restorative qualities and influencing mechanisms of natural water soundscapes. Applied Acoustics. https://doi.org/xxxx

Mr. Keyi Chen | AI Advancements | Best Researcher Award | 2506

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Mr. Keyi Chen | AI Advancements | Best Researcher Award

Mr. Keyi Chen | Jihua Laboratory | China

Keyi Chen is a Research Engineer at Jihua Laboratory, located in Foshan, Guangdong Province, China. He obtained his Master of Science degree in Crop Informatics from Huazhong Agricultural University in 2023. His research primarily focuses on artificial intelligence and deep learning applications in computer vision and environmental informatics. He has successfully completed three research projects and has contributed to several high-quality publications indexed in international databases such as SCI and Scopus. His Scopus citation score reflects his growing research impact, supported by a total of 38 citations across multiple publications and an h-index of 2, demonstrating steady academic recognition in his domain. He has also filed three patents, demonstrating his strong commitment to transforming innovative research ideas into practical solutions. His professional work bridges the gap between advanced AI methodologies and their application in environmental data analysis and recognition systems. One of his recent studies introduces a new computational framework designed for marine microalgae recognition, tackling the long-standing challenges of inefficiency and class imbalance in microscopic image analysis. His proposed model employs a novel multi-expert architecture combined with feature compression techniques to enhance recognition accuracy and computational efficiency. The model has been rigorously tested on complex datasets containing various marine microalgae species, establishing a new benchmark in performance evaluation and reliability. His research contributes not only to artificial intelligence but also to ecological monitoring and marine life science, offering a robust foundation for further innovation in automated species identification. With his technical expertise and analytical approach, Keyi Chen continues to advance the integration of deep learning algorithms into scientific and industrial applications. His research interests extend to intelligent data processing, image-based classification systems, and bioinformatics-driven AI models.

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Achieford Mhondera | Climate Solutions | Best Researcher Award

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Mr. Achieford Mhondera | Climate Solutions | Best Researcher Award

Mr. Achieford Mhondera | University of Zimbabwe | Zimbabwe

Achieford Mhondera is a Ph.D. candidate in Climate Change Communication at the University of Zimbabwe, serving as a Junior Lecturer in the Department of Languages, Literature, and Culture, and as the Deputy Head of the Climate Action Directorate at the Africa Network of Youth Policy Experts. He is an experienced communication strategist and passionate climate justice advocate with a strong background in environmental communication, policy engagement, and youth-led climate activism. His work centers on amplifying voices from the Global South and advancing meaningful climate action through strategic communication and advocacy. At the University of Zimbabwe, he teaches courses in communication, research methods, and corpus linguistics, combining academic rigor with real-world engagement. He has been recognized for his innovative research and commitment to bridging policy and practice across Africa. As a guest columnist for leading publications such as Newsday, The Herald, and China Daily, he contributes to public discourse on climate change and sustainability. His scholarly output includes several book chapters, journal articles, and conference presentations focusing on climate communication and ecological civilization. Certified in climate diplomacy, governance, and negotiation, he brings a multidisciplinary perspective to global climate dialogues. A proud alumnus of Tsinghua University’s School of Journalism and Communication, he is also the founder of the Climate Research and Advocacy Trust and an active member of international networks promoting biodiversity, food sovereignty, and environmental justice across Africa and beyond.

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Bao Liu | Emerging Technologies | Best Researcher Award

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Dr. Bao Liu | Emerging Technologies | Best Researcher Award

Dr. Bao Liu | Xi’an University of Science and Technology | China

Dr. Liu Bao is an Associate Professor and Academic Leader in the field of Pattern Recognition and Intelligent Systems at the School of Electrical and Control Engineering, Xi’an University of Science and Technology, where he also serves as a Graduate Supervisor and Project-based Ph.D. Supervisor. He earned his doctorate in engineering from Xi’an Jiaotong University, completed postdoctoral research at Xi’an University of Science and Technology, and broadened his academic experience as a visiting fellow at Macquarie University in Australia. Recognized as a Senior Data Analyst by the Ministry of Industry and Information Technology of China, Dr. Liu is an active member of several national academic societies and professional committees. His research focuses on multi-source information fusion and intelligent technologies for coal fire disaster prevention and control, integrating advanced computational and automation techniques to address complex industrial challenges. Throughout his career, he has led diverse national, provincial, and industry-based research projects and contributed extensively to scientific publications and technological innovation through patents and software developments. As a committed educator and mentor, Dr. Liu has inspired students to excel in academic and professional pursuits and has been honored with multiple awards recognizing his dedication to teaching, research, and academic service.

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Featured Publications

Liu, B., Liu, Q., & Wu, Z. (2026, February). A novel robust Student’s t scale mixture distribution based Kalman filter. Signal Processing. https://doi.org/10.1016/j.sigpro.2025.110296

Liu, B., Wu, Z., & Liu, Q. (2025). Gaussian mixture model-based variational Bayesian approach for extended target tracking. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2025.3565347

Liu, B., & Jiang, W. (2024). DFKD: Dynamic focused knowledge distillation approach for insulator defect detection. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2024.3485446

Liu, B., & Jiang, W. (2024, December). LA-YOLO: Bidirectional adaptive feature fusion approach for small object detection of insulator self-explosion defects. IEEE Transactions on Power Delivery. https://doi.org/10.1109/TPWRD.2024.3467915

Liu, B., Zhou, N., & Wang, Z. (2024, December 27). DFI-YOLOv8 based defect detection method for fan blades. In Proceedings of the 2024 Conference on [Insert Conference Name]. https://doi.org/10.1145/3722405.3722437

Evangelos Kourdis | Research Excellence | Best Researcher Award

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Prof. Dr. Evangelos Kourdis | Research Excellence | Best Researcher Award

Prof. Dr. Evangelos Kourdis | Aristotle University of Thessaloniki | Greece

Professor Evangelos Kourdis has established a distinguished academic presence in the interdisciplinary fields of translation semiotics, sociolinguistics, and cultural communication. He has authored 23 research documents, each contributing to the advancement of semiotic and translation theory. His works have been cited by 70 international publications, underscoring their scholarly reach and recognition. According to Scopus, his current h-index is 4, reflecting consistent and high-quality research output. His studies integrate semiotic methodologies with translation theory, bridging conceptual gaps between linguistic and cultural analysis. These contributions have positioned him as a key figure in modern semiotic scholarship. His publications in reputed journals such as Semiotica, Social Semiotics, and Signs and Society highlight his academic excellence. By fostering collaboration among European semiotic schools, he enriches global dialogue in meaning-making and communication. His research output reflects both depth in theoretical innovation and breadth in application. The increasing citations across major indexing platforms indicate international trust in his frameworks. Professor Kourdis’s scholarship demonstrates an enduring commitment to advancing semiotic research in translation and intercultural studies. These metrics collectively affirm his role as a globally recognized and influential scholar in his field.

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Featured Publications

Kourdis, E. (2025). Multimodal, polysemiotic, multisemiotic: A necessary demarcation for semiotics and translation studies. Social Semiotics. Advance online publication. https://doi.org/10.1080/10350330.2025.2562390

Kourdis, E. (2024). Les orientations disciplinaires de la sémiotique: L’état de la question. Degres, 53(197–198), c1–c21.

Kourdis, E. (2024, December 30). Kristeva’s impact on translation and the interplay of intertextuality, transposition and intersemiosis. Acta Nova Humanistica: A Journal of Humanities Published by New Bulgarian University, 24(1), Article 9. https://doi.org/10.33919/anhnbu.24.1.9

Kourdis, E. (2024, December 2). Intersemiotic translations of Greek popular films in the film industry and media. Signs and Media, 2590(0323), Article 12340032. https://doi.org/10.1163/25900323-12340032

Yoka, L., & Kourdis, E. (2023). Introduction: Signs of Europe: Discourses, mythologies, politics of representation. In L. Yoka & E. Kourdis (Eds.), Signs of Europe: Discourses, mythologies, politics of representation (pp. 9–19). Thessaloniki: Hellenic Semiotic Society. https://doi.org/10.26262/FTMV-XR69

Yan Tong Koh | Research Excellence | Best Researcher Award

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Dr. Yan Tong Koh | Research Excellence | Best Researcher Award

Dr. Yan Tong Koh | Tan Tock Seng Hospital, National Healthcare Group | Singapore

Dr. Koh Yan Tong is an accomplished clinician-scientist whose research contributions have significantly advanced understanding in paediatric ophthalmology, adult strabismus, and ocular inflammation. Her published works span reputable international journals, addressing diverse topics such as retinal diseases, orbital trauma, and uveitis, with clinical implications for both adult and paediatric eye care. Her research has been cited in 11 scientific documents, reflecting her growing influence in ophthalmic literature, and she maintains an h-index of 1, demonstrating the emerging recognition of her early scholarly impact. In addition to her active research pursuits, Dr. Koh plays a pivotal role in clinical leadership, medical education, and translational ophthalmic studies, bridging clinical excellence with academic innovation across the National Healthcare Group and affiliated medical schools.

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Featured Publications

Koh, Y. T., Chee, S. P., Fong, K. C., Tan, C. S., & Lim, W. K. (2013). Characteristics and ophthalmic manifestations of the classic dengue fever epidemic in Singapore (2005–2006). Asia-Pacific Journal of Ophthalmology, 2(3), 175–179.