Eleni Andreou | Psychology | Research Excellence Award

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Prof. Eleni Andreou | Psychology | Research Excellence Award

Professor | The University of Thessaly | Greece

Prof. Eleni Andreou is a leading scholar in educational psychology whose research has significantly shaped contemporary understanding of bullying, peer aggression, school climate, and student psychosocial adjustment. Her work integrates developmental, cognitive, and socio-emotional perspectives to examine how interpersonal relationships, coping responses, and contextual factors influence children’s and adolescents’ behavior within educational settings. With 48 scholarly documents, over 1,300 citations, and an h-index of 19, her research is recognized internationally for both theoretical contribution and applied impact. A major focus of her scholarship examines bully victim dynamics, emphasizing the role of self-efficacy, coping strategies, social cognition, and resilience in children’s responses to aggression. Through longitudinal and intervention-based studies, she has demonstrated how intentional programming, bibliotherapy, and prevention frameworks can positively influence student attitudes, reduce victimization, and enhance school belonging. Her also explore early childhood bullying, using naturalistic observation and multimethod assessment to uncover how aggression emerges and interacts with contextual variables in preschool environments.Microaggressions, inclusion challenges, and academic adjustment. These works offer evidence based insights for fostering equitable learning environments and strengthening support systems within schools and universities. Across her collaborative international projects, she contributes to large scale cross cultural examinations of peer aggression, socio emotional competencies, and student well being.

Profiles:  Scopus | ORCID | Google Scholar

Featured Publications

Vlachou, A., Stavroussi, P., Andreou, E., & Toulia, A. The development of the “Checklist for Life Skills Educational Assessment” (CLSEA). Education Sciences.

Touloupis, T., Andreou, E., & Chasapis, D.  Relations among perceived school context-related factors, cyberbullying, and school adjustment: An examination between native and immigrant students in elementary and secondary education.

Didaskalou, E., Cefai, C., Brighi, A., Bravo-Sanzana, M., Bochaver, A., Bauman, S., & Andreou, E.  A global study of the wellbeing of adolescent students during the COVID-19 2020 lockdown.

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.

Chao-Feng Shih | Leadership Development | Best Researcher Award

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Assist. Prof. Dr. Chao-Feng Shih | Leadership Development | Best Researcher Award

Assist. Prof | The University of  Central Police University | Taiwan

Dr. Chao-Feng Shih is a scholar and engineer specializing in marine engineering, maritime safety, smart port technologies, and computational mechanics. His academic background and research trajectory focus on advancing hydrodynamics, nonlinear sloshing analysis, marine risk assessment, and intelligent port-based monitoring systems. He has developed strong expertise in integrating engineering theory with modern computational tools to address complex maritime challenges and enhance operational safety in port and offshore environments. His doctoral research applied a modified Lie-Group algorithm to nonlinear sloshing problems, contributing new numerical strategies for analyzing fluid structure interactions in confined and dynamic marine systems. Dr. Shih’s broader research in nonlinear hydrodynamics includes studies on sloshing suppression using baffle designs, meshless methods for heat transfer simulation, and explicit/implicit Lie-Group numerical schemes. His work has been published in reputable indexed journals, addressing topics such as underwater vehicle acoustics, two-dimensional tank sloshing behavior, and Trefftz-based multi-scale methods. Beyond theoretical contributions, Dr. Shih’s research intersects with applied maritime safety and smart harbor development. He has played key roles in projects involving 5G-enabled port monitoring, based inspection systems, and driven maritime applications. His recent works explore remote sensing for port operations, edge-computing frameworks for drone communications, and AI-enhanced solutions for underwater environmental monitoring. These efforts highlight his commitment to integrating emerging technologies with marine engineering to support safer, more efficient, and data-driven maritime operations. His academic publications also include studies on fire prevention in cargo vessels, unmanned underwater vehicle applications, and marine safety risk assessment. Future research directions involve developing AI assisted maritime training systems, simulation-based digital twin platforms, autonomous navigation technologies, and advanced predictive models for port-level risk management. Through this multidisciplinary research portfolio, Dr. Shih continues to contribute to innovation across marine engineering, intelligent maritime systems, and computational analysis.

Featured Publications

Tan, C.-C., Shih, C.-F., Shen, J.-H., & Chen, Y.-W.  A time–space numerical procedure for solving the sideways heat conduction problem.

Chen, Y.-W., Pan, C.-C., Lin, Y.-H., Shih, C.-F., Shen, J.-H., & Chang, C.-M. Acoustic field radiation prediction and verification of underwater vehicles under a free surface. Journal of Marine Science and Engineering

Beáta Šofranková | HR Technology and Digital Transformation | Best Researcher Award

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Mrs. Beáta Šofranková | HR Technology and Digital Transformation | Best Researcher Award

Associate Professor | The University of Presov| Slovakia

Mrs. Beáta Šofranková, is a researcher in the field of management whose scholarly work centers on digital transformation, competitiveness, economic performance, and sustainable development across European countries. Her research integrates economic-mathematical reasoning with modern managerial perspectives, providing a multidimensional understanding of how digitalization and innovation impact institutional performance and long-term economic resilience. Her scientific portfolio consists of 16 published research documents, collectively cited 235 times, resulting in an h-index of 8. These metrics reflect a steady scholarly influence and demonstrate the relevance of her work within the fields of management, economics, and regional development. Her publications frequently address the evolving conditions of European economies, exploring strategic determinants of competitiveness, the role of digital technologies in economic growth, and the implications of sustainable development frameworks on national and regional performance indicators. She has contributed significantly to research initiatives through her involvement in major national grant projects, where she has designed, coordinated, or supported scientific tasks focused on digital readiness, innovation performance, and socio-economic transformation. Her participation in  projects reflects sustained engagement in evidence-based research aligned with national priorities and international academic standards. These projects have produced theoretical and empirical outputs that inform management practices, public policy, and academic debate. Her work also incorporates a strong comparative perspective, drawing on interdisciplinary frameworks that connect economic modelling, management theory, and sustainability science. She frequently collaborates within research teams exploring emerging digital trends, performance analytics, and the competitiveness challenges faced by European economies in the context of global transformations. Through her publication record, research leadership, and active contribution to national scientific projects, her scholarly profile demonstrates a consistent commitment to advancing knowledge about digital transformation and sustainable economic development. Her research output continues to support academic, institutional, and policy-oriented discussions within the broader European research community.

Featured Publication

Kiselakova, D., Sofrankova, B., Gombar, M., & Matijova, M. Modelling the impact of innovation performance on digital competitiveness: The key role of innovation and technologies. Asian Economic and Financial Review,

Salah-Eddine Chorfi | Rewards & Recognition | Young Researcher Award

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Assist. Prof. Dr. Salah-Eddine Chorfi | Rewards & Recognition | Young Researcher Award

Assistant Professor | The University of Cadi Ayyad University | Morocco

Dr. Salah-Eddine Chorfi is an applied mathematician whose research lies at the intersection of inverse problems, control theory, and the analysis of partial differential equations. His work focuses on developing rigorous mathematical frameworks to address fundamental questions related to identification, stability, and controllability in complex dynamical systems. A key aspect of his research involves studying equipped with dynamic boundary conditions, which arise in models describing diffusion, heat transfer, and wave propagation in heterogeneous media. Chorfi’s contributions span multiple interrelated themes. He investigates inverse source problems, coefficient determination, and initial data reconstruction using advanced tools such as Carleman estimates, semigroup theory, and logarithmic convexity methods. These approaches enable the establishment of uniqueness and quantitative stability results for parabolic, hyperbolic, and time-fractional evolution equations. His work also explores the control and stabilization of PDEs, including null controllability, impulsive control, and finite-time stabilization, offering new insights into systems governed by coupled or degenerate equations. Another significant direction in his research is the analysis of time-fractional diffusion models and mean field game systems, where he examines backward problems, non-symmetric operators, and degenerate dynamics. His investigations contribute to bridging theoretical PDE analysis with computational and applied challenges, particularly in contexts where data are incomplete or the underlying systems are ill-posed. Chorfi has authored 23 scientific documents, which collectively have received 67 citations, resulting in an h-index of 7. His work is published in highly regarded journals including Evolution Equations and Control Theory, Journal of Mathematical Analysis and Applications, Mathematical Methods in the Applied Sciences, Applicable Analysis, Inverse Problems, and others. Through his collaborations with researchers in analysis, control theory, and mathematical modeling, he contributes to advancing modern approaches to inverse problems and dynamical systems. His research continues to influence emerging methodologies for understanding complex driven phenomena in both theoretical and applied settings.

Featured Publications

Chorfi, S. E., Habbal, A., Jahid, M., Maniar, L., & Ratnani, A. Stability of backward inverse problems for degenerate mean field game systems.

Chorfi, S.-E., Ismailov, M. I., Maniar, L., & Oner, I. Boundary null controllability of the heat equation with Wentzell boundary condition and Dirichlet control.

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.