Asterios Patsiaouras | Coaching & Mentoring | Research Excellence Award

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Dr. Asterios Patsiaouras | Coaching & Mentoring | Research Excellence Award

EEP | The University of  Thessaly | Greece

Dr. Asterios Patsiaouras is a prominent researcher in sport psychology, sport didactics, and elite performance training, with a particular emphasis on volleyball and team sports. His research portfolio, comprising 18 scholarly documents, has accumulated 244 citations and an h-index of 8, reflecting both the academic impact and practical relevance of his work in applied sport science. A major focus of his studies is resilience, anxiety, and psychological readiness in athletes, particularly volleyball players. His research investigates how team dynamics, gender, and coaching styles influence resilience, stress management, and performance outcomes. Several studies have examined the technical elements of elite volleyball teams and their predictive power for match outcomes, providing data-driven insights to enhance athlete preparation and strategic coaching. Dr. Patsiaouras has also contributed to the understanding of coach athlete relationships, exploring the ethical, social, and value-based dimensions of mentorship in sports. His work highlights the critical role of communication, leadership, and relational dynamics in optimizing athlete development and mental health. In addition, his research addresses broader psychosocial and developmental issues, such as the mental health of children and adolescents, the role of sport in fostering social values, and the integration of neurodiversity considerations in performance and well-being. By combining psychological theory with applied methodology, his studies offer practical recommendations for coaches, educators, and sport professionals seeking to promote both performance excellence and holistic athlete development. Dr. Patsiaouras’s publications, which include peer-reviewed articles, book chapters, and interdisciplinary contributions, are widely recognized for advancing knowledge in sport psychology and applied sports science. His work bridges theory and practice, emphasizing evidence-based approaches to resilience, mental fitness, ethical coaching, and high level performance. Collectively, his contributions provide a comprehensive understanding of the psychological and social factors that influence athletes, their teams, and the broader sporting environment.

Featured Publication

Chatzipanteli, A., Zafeiroudi, A., Trigonis, I., Tsartsapakis, I., Fotiadis, A., Patsiaouras, A., & Digelidis, N.  Justifications for judgment accuracy in sports.

Bingfei Gu | Rewards & Recognition | Research Excellence Award

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Prof. Dr. Bingfei Gu | Rewards & Recognition | Research Excellence Award

Professor | The University of Zhejiang Sci-Tech University | China

Prof. Dr. Bingfei Gu is a prominent researcher in the interdisciplinary domain of digital apparel engineering, computational ergonomics, and intelligent garment technologies. With a scholarly record of 81 publications, 255 citations, and an h-index of 11, the author has built a strong research presence that spans human body modeling, fabric behavior simulation, and advanced garment design systems. Their work integrates computational methods, image processing, 3D point cloud analytics, and artificial intelligence to address long-standing challenges in apparel fit, pattern generation, body measurement accuracy, and digital clothing representation. A central focus of the author’s research is the development of precise and scalable human body measurement frameworks using hybrid scanning and imaging systems. This includes advanced classification of body shape, automated feature extraction, and individualized prototype generation for apparel design. Their studies on digital garment systems explore virtual fittings, numerical simulations of fabric drape, and biomechanics-based modeling of clothing body interaction, contributing to improved prediction of wearer comfort and performance. The author has produced influential work on garment technologies, including new algorithms for pattern adaptation, topologically consistent model reconstruction, and simulation-driven design optimization. Their research in garment virtual simulation extends into computational evaluations of ergonomics, ballistic protection mechanisms, and AI driven virtual try on methods leveraging generative diffusion models. Through collaboration with multidisciplinary teams, the author has contributed to notable advancements in industrial ergonomics, textile engineering, and digital fashion innovation. Their publications in high impact journals demonstrate a commitment to methodological rigor and practical relevance, supporting the broader transition toward intelligent apparel manufacturing, personalized garment engineering, and data-driven fashion technologies. The author’s contributions continue to shape emerging standards in digital human modeling and next-generation garment simulation.

Featured Publications

Hou, J., Lu, Y., Wang, M., Ouyang, W., Yang, Y., Zou, F., Gu, B., & Liu, Z.  A Markov Chain approach for video-based virtual try-on with denoising diffusion generative adversarial network. Knowledge Based Systems.

Jin, S., & Gu,, Production scheduling optimization of shirt component module based on standard man-hour prediction.

Sheng, X., Zhao, S., & Gu, B. Construction of shirt component module groups based on process similarity

Sun, Y., Niu, W., Chen, X., Chen, Q., Gu, B., & Liu, Y. Application of human finite element model in flexible protective products. Journal of Medical Biomechanics.

Feng, H., Sheng, X., Zhang, L., Liu, Y., & Gu, B. Color analysis of brocade from the 4th to 8th centuries driven by image based matching network modeling.

Jin, S., & Gu, B. Individualized generation of women’s prototype based on the classification of body shape.

Yifei Zhang | Learning & Development | Research Excellence Award

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Dr. Yifei Zhang | Learning & Development | Research Excellence Award

Professor | The University of Hebei University | China

Dr. Yifei Zhang is a developing scholar whose research contributions span metallurgical physical chemistry, advanced materials processing, non-destructive testing, and intelligent material characterization. With a growing academic profile supported by 13 research documents, 235 citations, and an h-index of 7, the author has established a strong foundation in studying material behavior, performance evolution, and diagnostics using both experimental and data-driven approaches. Their work in alloy systems, particularly titanium alloys produced through selective laser melting and other additive manufacturing pathways, has yielded influential findings regarding microstructural evolution, oxide film dynamics, and electrochemical performance. These studies have improved the understanding of how processing conditions affect long-term material stability, reliability, and corrosion behavior an area of increasing importance for aerospace, biomedical, and high-performance engineering applications. The author’s contributions extend to investigating surface modification and coating technologies, including the impact of residual stress on the adhesion behavior of thin films such as TiN coatings. Their insights into interfacial mechanics and coating performance support the broader development of durable protective layers and engineered surfaces. In parallel, the author has advanced methodological innovation in the field of non-destructive evaluation. By integrating acoustic emission analysis, variational mode decomposition, continuous wavelet transforms, and convolutional neural networks, their work enhances the accuracy of damage mode identification in complex composite structures and stainless steels. These integrated diagnostic frameworks offer improved capabilities for monitoring structural health, predicting failure, and optimizing material maintenance strategies. Collectively, the author’s research demonstrates a commitment to bridging materials science, machine learning, and modern diagnostic technologies. Their publications contribute to both theoretical understanding and practical solutions for evaluating and enhancing material performance. With a steadily increasing citation profile and a diverse research portfolio, the author continues to influence key developments in materials characterization, surface engineering, and intelligent non-destructive testing.

Featured Publication

Zhang, Y., Yao, Y., Li, J., et al. Effect of residual stress on adhesion behaviour of TiN coating. Bulletin of Materials Science.

Zemenu Tadesse Adimas | HR Technology and Digital Transformation | Editorial Board Member

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Mr. Zemenu Tadesse Adimas | HR Technology and Digital Transformation | Editorial Board Member

Lecturer And Researcher | The University of  Bahir Dar University | Ethiopia

Mr. Zemenu Tadesse Adimas is an emerging researcher in the fields of Food Engineering and Biotechnology, with a strong scholarly focus on food product development, formulation, and natural preservation strategies. His academic background in Food Technology and Food Process Engineering has provided a solid foundation for exploring innovative, sustainable, and science-driven approaches to enhancing food quality and safety. He is particularly interested in the utilization of natural preservatives, improvement of indigenous foods, and optimization of storage technologies to reduce post-harvest losses. His research contributions span various critical topics in food science, including shelf-life extension, food processing, bioactive compounds, and the integration of traditional and modern preservation methods. His published works demonstrate both depth and breadth, covering microbial stability, physicochemical property optimization, sensory quality enhancement, hermetic storage systems, and the use of plant-based bioactive compounds for grain protection. These publications appear in reputable international journals such as Cogent Food & Agriculture, Applied Food Research, Heliyon, and the Poly Journal of Engineering and Technology. A notable portion of his work examines the effects of processing conditions such as temperature, time, and formulation ratios on the quality attributes of food and beverage products. His studies on cinnamon extract for juice preservation, roasting parameters for plant beverages, and flour blending for biscuit production showcase his commitment to developing practical, scalable solutions for industry and community-level food systems. His scientific interests also extend to post-harvest technology, where he has investigated hermetic storage methods to minimize losses in staple crops such as maize and wheat. Through systematic experimental design, analytical evaluation, and interdisciplinary collaboration, he contributes to improving food security and promoting value-added food innovations. Across his research portfolio, Zemenu emphasizes evidence-based problem solving, sustainability, and the enhancement of traditional knowledge through modern food science techniques.

Featured Publications

Abera, B. D., Adimas, Z. T., Adimas, M. A., Alemayehu, A. J., & Geletu, M. G. Effect of blending ratios of roasted and unroasted lupine flour on the physicochemical properties, antinutritional factors, and organoleptic qualities of wheat–lupine composite bread. Applied Food Research.

Alemayehu, A. J., Adimas, Z. T., & Abera, B. D. The effect of sugar concentration and storage time on the physicochemical, microbial, and sensory properties of ginger drink. Applied Food Research.

Adimas, Z. T., & Abera, B. D. Effect of roasting time and temperature on the physicochemical and sensory properties of plant beverage from groundnut. Applied Food Research.

Adimas, Z. T., Adimas, M. A., & Abera, B. D.  Plant-based bioactive compounds for grain storage: A comprehensive review. Cogent Food & Agriculture.

Pascal Vrignat | Learning & Development | Best Academic Researcher Award

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Assist. Prof. Dr. Pascal Vrignat | Learning & Development | Best Academic Researcher Award

Assist. Prof. Dr.Pascal Vrignat | The University of Orleans University | France

Dr. Pascal Vrignat is a highly accomplished researcher whose scientific contributions lie at the intersection of operational safety, diagnostics, prognosis, and maintenance strategies for complex systems. His research focuses on the modeling and optimization of system reliability and performance using Markovian and stochastic processes, with particular attention to system obsolescence, shortages, and life-cycle management. He integrates survival laws and Hidden Markov Models  to develop advanced models for remaining useful life prediction and degradation analysis, addressing key challenges in industrial maintenance and decision support. With a strong publication record of 25 scholarly works, 242 citations, and an h-index of 6, Vrignat has established himself as a significant contributor in the fields of industrial systems engineering and intelligent maintenance. His research output includes high-impact journal articles, such as his recent paper, “Contribution to Estimating the Level of Bearing Degradation Using an HMM MultiBranch Approach” which demonstrates a refined methodology for mechanical fault diagnosis and predictive maintenance. His studies consistently bridge theoretical modeling with applied engineering, especially in areas involving industrial computer applications, systems, IoT integration, and digital communication networks. Vrignat’s work extends to the development of AI-driven tools for sustainability and automation, reflecting a broader commitment to advancing the Industry 4.0 and smart manufacturing paradigm. His publication, “The Effectiveness of AI: Feedback on the Experience to Counteract Food Waste” (Journal of Sustainability Research, exemplifies his interdisciplinary reach, applying artificial intelligence for societal benefit. Beyond technical innovation, his research promotes practical solutions that enhance reliability, optimize maintenance planning, and extend system longevity.

Featured Publications

Vrignat, P., Avila, M., Duculty, F., Bardet, C., Begot, S., & Marangé, P. Innovative pedagogies for Industry 4.0: Teaching RFID with serious games in a project-based learning environment. Education Sciences.

Vrignat, P., Kratz, F., Avila, M., Duculty, F., Begot, S., & Bardet, J. C. The effectiveness of AI: Feedback on the project to counteract food waste. Journal of Sustainability Research.

Chih-Hung Pai | Performance Management | Best Researcher Award

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Prof. Chih-Hung Pai | Performance Management | Best Researcher Award

Director of the Leisure Tourism Development Research Center | The University of Zhejiang Yuexiu University | China

Professor Chih-Hung Pai is an accomplished scholar whose research focuses on the intersections of sustainable tourism, hospitality management, and environmental economics. With a portfolio of nine scholarly publications, 78 citations, and an h-index of 4, his academic influence reflects both depth and interdisciplinary breadth. His body of work contributes significantly to understanding how sustainable practices, innovative technology, and policy frameworks can jointly enhance economic growth and ecological preservation within global tourism systems. His recent studies highlight the integration of environmental conservation and economic progress, emphasizing how sustainable tourism practices shape global economies and support long-term resilience. His contributions to leading indexed journals, including Current Issues in Tourism, Humanities and Social Sciences Communications, and Resources Policy, have offered novel insights into green finance mechanisms, carbon neutrality promotion, and cultural tourism development. Through empirical modeling and policy evaluation, he explores strategies that enable regions, particularly in Asia, to transition toward environmentally responsible and economically viable growth models. In parallel, his research investigates technological innovation in hospitality, analyzing how digital tools, machine learning, and green technologies influence customer experience, service recovery, and organizational competitiveness. Studies such as those on technology adoption in green hotels and data-driven assessments of cultural tourism experiences underscore his commitment to integrating artificial intelligence and sustainability in modern service systems. Furthermore, his work on eco tourism experiences, leisure behavior, and corporate social responsibility within the hospitality sector enriches the understanding of human environment interactions and their socio-economic implications. Collectively, Professor Pai’s scholarly output represents a forward-thinking approach to sustainability science bridging theory with practice and providing actionable pathways for policymakers, educators, and industry stakeholders seeking to harmonize economic prosperity with ecological balance in the evolving global tourism landscape.

Featured Publication

Pai, C.-H., Zhang, Y., Wang, Y.-L., Li, K., & Shang, Y. Current challenges and opportunities in cultural heritage preservation through sustainable tourism practices. Current Issues in Tourism.

Juan Xu | Women in Leadership | Best Researcher Award

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Mrs. Juan xu | Women in Leadership | Best Researcher Award

NCWU at The University of North China University of Water Resources and Electric Power | China

Mrs. Xu Juan is a dedicated Lecturer at the School of Electrical Engineering, North China University of Water Resources and Electric Power, recognized for her strong academic foundation and research excellence in electronic science and energy storage materials. She earned her Ph.D. in Electronic Science and Technology from Huazhong University of Science and Technology , following a solid academic path that included a Bachelor’s degree in Physics from Xinxiang University and postgraduate studies in Electronic Science and Technology at the same institution. Since joining her current university in 2018, she has actively engaged in teaching and research, contributing significantly to the fields of zinc-ion and sodium-ion batteries, supercapacitors, and nanostructured materials. Her research interests focus on cation doping regulation, oxygen vacancy engineering, and advanced energy storage technologies, aiming to enhance electrochemical performance and energy efficiency. Mrs. Xu has published 24 scientific papers, receiving 80 citations with an h-index of 5, showcasing her growing academic influence. Her technical expertise includes materials synthesis, electrochemical analysis, and nanomaterial interface engineering, combining theoretical understanding with experimental innovation. She has also contributed to two Chinese patents and was part of a research team that won the Henan Provincial First-Class Award for Scientific and Technological Progress for advancements in high-power nonlinear optical terahertz radiation sources. Her professional strengths lie in collaborative research, analytical problem-solving, and high-quality scholarly output. Looking ahead, Mrs. Xu aims to expand her research through interdisciplinary collaborations and explore next-generation flexible and sustainable energy storage systems. With her academic excellence, innovative mindset, and strong commitment to scientific advancement, she continues to be a promising scholar contributing meaningfully to the development of modern energy technologies.

Profile:  SCOPUS

Featured Publications

Authors unavailable. Enhancing interfacial electron transfer by gradiently constructing polyaniline electron bridge between MOF and MnOx for high-performance flexible supercapacitors. Journal of Power Sources.

Authors unavailable. The optimal integrating state of VOx with the synergistic effect of Cu²⁺ cation and polyaniline for high-performance flexible fiber zinc-ion battery. Journal of Energy Storage.

Junqiao Hong | Learning & Development | Best Researcher Award

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Dr. Junqiao Hong | Learning & Development | Best Researcher Award

Lecturer at The University of  Southwestern University of Finance and Economics | China

Dr. Junqiao Hong is a distinguished researcher and lecturer at the Southwestern University of Finance and Economics, with a PhD from Renmin University of China. He specializes in rural development, labor migration, and climate change, contributing significantly to understanding the socioeconomic and environmental dynamics in China. Dr. Hong has an impressive academic and professional track record, including publications in high-impact journals such as the Journal of Economic Behavior and Organization and Climate Policy, reflecting his expertise in rigorous quantitative and policy-oriented research. His professional experience encompasses teaching, mentoring, and conducting applied research at the Institute of Western China Economic Research, where he examines the impact of poverty alleviation relocation on rural households’ migration decisions and livelihood vulnerability, as well as analyzing the effects of wildfires on different types of property. He possesses strong research skills in data analysis, field surveys, policy evaluation, and socioeconomic modeling, enabling him to generate insights with practical relevance for policymakers and communities. Dr. Hong is a member of the Beijing Association of Agricultural Economics, highlighting his commitment to professional engagement and scholarly collaboration. While he has yet to engage extensively in editorial roles or consultancy projects, his focused research contributions have already garnered recognition, positioning him for future awards and professional honors in economic and environmental research. Looking ahead, Dr. Hong demonstrates strong potential to advance knowledge at the intersection of climate policy and rural economic development, with opportunities to expand interdisciplinary collaborations, develop innovative methodologies, and influence policy formulation. Overall, Dr. Hong exemplifies a dedicated, impactful researcher and educator whose work not only advances academic understanding but also addresses real-world challenges, establishing him as a leading figure in his field with considerable promise for continued scholarly excellence and societal contribution.

Profile:  ORCID

Featured Publications

 Wang, X., Deng, X., Hong, J., Jian, W., & Yang, Z. The impact of wildfires on local property values in Wisconsin, United States. Climate Policy. Advance online publication.

 Qiu, H., Hong, J., Wang, X., & Filipski, M. Home sweet home: Impacts of living conditions on worker migration with evidence from randomized resettlement in China. Journal of Economic Behavior & Organization. Advance online publication.

 Hong, J., Liu, M., Qiu, H., & Feng, X. Can a poverty alleviation programme really help vulnerable rural households? Insights from China. Applied Economics. Advance online publication.

Eustasy Mwamba | Mathematics Education | Best Researcher Award

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Mr. Eustasy Mwamba | Mathematics Education | Best Researcher Award

Secondary School Teacher at The University of Copperbelt University | Zambia

Mr. Eustasy Mwamba is an accomplished Zambian educator and researcher specializing in Mathematics Education, currently serving as Head of the Mathematics Department at Muyombe Boarding Secondary School under the Ministry of Education. He is pursuing a Ph.D. in Mathematics Education at the Copperbelt University, where his thesis is under examination, after earning a Master of Science in Mathematics Education  from the same institution, a Bachelor of Arts with Education (Mathematics major, Physical Education Studies minor) from Kwame Nkrumah University, and a Secondary Teachers’ Diploma in Mathematics from Mufulira College of Education . His professional journey spans over fifteen years of teaching and academic leadership, during which he has demonstrated strong competence in curriculum delivery, supervision, and instructional innovation. Mr. Mwamba’s research interests lie in formative assessment practices, student self-efficacy in mathematics, the application of SOLO taxonomy, and the use of rubrics to enhance learning outcomes and performance evaluation. He has authored and co-authored several scholarly works, with multiple manuscripts currently under review in reputable journals focusing on mathematics education and assessment. His research skills are advanced, particularly in data analysis, academic writing, and digital literacy, with proficiency in Microsoft Office, SPSS, NVivo, and educational tools such as Zoom, Teams, and Padlet. Among his notable honors, he was recognized as the Best Graduating Student in his Master’s program at the Copperbelt University in 2018 and received a Teachers’ Day Award in 2015 for excellence, leadership, and dedication to duty. Mr. Mwamba’s scholarly and professional contributions reflect a deep commitment to educational advancement, evidence-based teaching, and continuous improvement. As an emerging researcher, he aspires to expand his impact through innovative pedagogical research, mentorship, and participation in global academic collaborations that promote quality mathematics education across Africa.

Profile:  ORCID

Featured Publications

Mwamba, E., Shumba, O., & Mulenga, H.  Impacts of formative use of rubrics on secondary school students’ academic performance on quadratic equation problems. Educational Assessment.

Mwamba, E.  Dataset on the impact of rubrics on secondary mathematics self-efficacy in solving quadratic equation problems  Mendeley.

Mwamba, E. The effect of using SOLO taxonomy on secondary mathematical competencies associated with quadratic equations  Mendeley.

Mwamba, E., & Mubila, L. The effects of using assessment rubrics on the assessment and grading of pupils’ conceptual understanding of algebra. World Journal of Vocational Education and Training, .