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.

Magdalena Sobieska | Rewards & Recognition | Research Excellence Award

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Prof. Magdalena Sobieska | Rewards & Recognition | Research Excellence Award

Dept. of Rehabilitation and Physiotherapy | The University of  Poznań University of Medical Sciences | Poland

Prof. Magdalena Sobieska is a distinguished researcher whose scholarly contributions sit at the intersection of immunology, physiotherapy, and rehabilitation medicine. Her work is characterized by a sustained commitment to understanding the biological mechanisms underpinning inflammatory responses, acute phase reactions, and immune activation in both clinical and physiotherapeutic contexts. With 117 scientific documents, 1,868 citations, and an h-index of 20, she has established herself as an influential figure in multidisciplinary biomedical research. A major thematic focus of her research involves the clinical applicability of acute phase proteins, cytokines, and biochemical markers in diverse medical conditions. She has extensively investigated their diagnostic and prognostic value in rheumatic diseases, traumatic injuries, inflammatory disorders, and immune related pathologies. Her studies have contributed valuable insights into how inflammatory biomarkers respond to physical activity, stress, physiotherapy interventions, and complex disease states. Prof. Sobieska has also made important scientific advances in the fields of exercise immunology, rehabilitation sciences, and rheumatologic diagnostics, demonstrating how laboratory-based biomarker profiling can be integrated into personalized therapeutic strategies. Her early contributions to understanding immunological disturbances in mental health disorders and metabolic diseases have provided additional depth to her multidisciplinary approach. Her international collaborations broadened her expertise in eosinophil activation, cytokine regulation, and immune pathways that influence chronic inflammatory conditions.

Profiles:  Scopus | ORCID

Featured Publications

Pawlak-Andryszczyk, Ż., Andryszczyk, M., & Sobieska, M. Movements induced by optic flow in relation to HINE.

Bieniaszewska, A., Sobieska, M., & Gajewska, E. ,Functional and structural analysis of SITTER patients with spinal muscular atrophy.

Gajewska, E., Surowińska, J., Chałupka, A., Moczko, J., Michalak, M., & Sobieska, The qualitative motor assessment at three months allows a better prognosis than the traction test.

Christina Tassi | Mental Health Programs | Research Excellence Award

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Dr. Christina Tassi | Mental Health Programs | Research Excellence Award

Postdoctoral Researcher | The University of  Ioannina | Greece

Dr. Christina Tassi is a scholar in counseling psychology whose work bridges group counseling theory, person centered facilitative conditions, and positive psychology interventions. Her research emphasizes the psychosocial development and emotional well-being of children and adolescents, with a particular focus on those facing psychological economic hardship. Through her publications and collaborative research, she has contributed valuable insights into how group processes, therapeutic factors, and supportive interpersonal climates can enhance participants’ resilience, adjustment, and overall mental health. Across 7 peer reviewed publications, Dr. Tassi’s research demonstrates methodological rigor and applied relevance, yielding a measurable scholarly impact reflected in 68 citations and an h-index of 4. Her studies explore a range of topics, including process outcome relationships in positive psychological interventions, person centered attitudes among facilitators, and the mechanisms through which group programs foster emotional growth in school-age populations. She has also examined the effectiveness of online positive psychology interventions implemented during the  pandemic, contributing early evidence on the feasibility and therapeutic value of digital group-based mental health support. Dr. Tassi has co authored a book on positive psychology and contributed chapters focusing on poverty’s psychological effects on children, strengths-based counseling, and psychoeducational interventions for youth with diverse needs. Her interdisciplinary collaborations reflect a commitment to advancing evidence-based practices in educational and therapeutic contexts.

Profile:  Scopus 

Featured Publication

Tassi, C., & Brouzos, A. Therapeutic factors in a group positive psychological intervention  for primary school students facing parental psychological economic hardship. International Journal of Applied Positive Psychology.

Svetlana Fa Nedeljkovic | Learning & Development | Research Excellence Award | 2704

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Dr. Svetlana Fa Nedeljkovic | Learning & Development | Research Excellence Award

Senior Research Associate | The University of  Faculty of Sciences University of Novi Sad | Serbia

Dr. Svetlana Fa Nedeljković is a distinguished researcher whose scientific contributions lie at the intersection of reproductive toxicology, developmental biology, endocrine disruption, and epigenetic regulation. Her work advances fundamental understanding of how environmental contaminants particularly endocrine-disrupting chemicals interfere with cellular signaling, steroidogenesis, reproductive development, and early-life programming of health and disease. With a research portfolio comprising 35 peer-reviewed publications, 578 citations, and an h-index of 17, she has made a sustained and influential impact within the fields of toxicology and environmental health sciences. Her research spans multiple biological systems, including human granulosa cells, endothelial cells, zebrafish models, and rodent reproductive cells, enabling multi-layered insight into mechanisms of toxicity. She has significantly contributed to deciphering how chemicals such as phthalates bisphenol A, atrazine, and hexabromocyclododecane alter intracellular pathways, including linked regulatory cascades. Her findings helped reveal how these pathways subsequently impact steroid hormone synthesis, mitochondrial function, angiogenesis, reproductive competence, and cellular homeostasis. A notable dimension of her work addresses the Developmental Origins of Health and Disease  through epigenetic changes in early fetal tissues. Her studies on methylation patterns in response to maternal exposures have contributed valuable evidence for understanding how early environmental influences shape long-term physiological outcomes. Dr. Nedeljković has also engaged in extensive collaborative research across international projects focusing on reproductive biology, ecotoxicology, chemical risk assessment, and artificial intelligence based toxicological modeling. Her work integrates in vitro, in vivo, in silico, and systems-level approaches to build mechanistic frameworks for predicting human health risks. Through her broad and methodologically diverse contributions, Dr. Nedeljković continues to advance cutting edge research aimed at protecting reproductive health and improving scientific foundations for chemical safety evaluation.

Profiles:  Scopus | ORCID 

Featured Publications

Tesic, B., Fa Nedeljkovic, S., Markovic Filipovic, J., Samardzija Nenadov, D., Pogrmic-Majkic, K., & Andric, N. Early-life exposure to di(2-ethylhexyl) phthalate impairs reproduction in adult female zebrafish (Danio rerio).

Tesic, B., Samardzija Nenadov, D., Tomanic, T., Fa Nedeljkovic, S., Milatovic, S., Stanic, B., Pogrmic-Majkic, K., & Andric, N. DEHP decreases steroidogenesis through the cAMP and ERK1/2 signaling pathways in FSH-stimulated human granulosa cells.

Stanic, B., Milošević, N., Sukur, N., Samardzija Nenadov, D., Fa Nedeljkovic, S., Škrbić, S., & Andric, N.  An in silico toxicogenomic approach in constructing the aflatoxin B1-mediated regulatory network of hub genes in hepatocellular carcinoma.

Xiaochun Sun | Learning & Development | Research Excellence Award

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Prof. Dr. Xiaochun Sun | Learning & Development | Research Excellence Award

Professor | The University of  Northwest Normal University | China

Prof. Dr. Xiaochun Sun is a leading scholar in harmonic analysis and partial differential equations, recognized for advancing several foundational and emerging areas within modern mathematical analysis. His research spans Littlewood Paley theory, time-frequency analysis, potential theory, and analytical methods related to fluid dynamics, forming a cohesive body of work that contributes both to theoretical mathematics and to its applied dimensions. His studies frequently intersect classical harmonic analysis with complex operator theory, enabling refined tools for understanding differential equations and non-linear mathematical models. With thirty-five publications in high quality and Scopus-indexed journals, his research output demonstrates breadth, depth, and sustained scholarly productivity. His articles appearing in journals such as Mathematics, Journal of Evolution Equations, Mathematical Methods in the Applied Sciences, and Frontiers of Mathematics reflect a strong command of analytical techniques, careful formulation of mathematical problems, and contributions that open pathways for continued development in analysis and . Prof. Sun has played a substantial role in national research development through nine funded projects supported by the National Natural Science Foundation of China . These projects address advanced problems such as the study of function spaces linked to differential operators, boundedness of Calderón Zygmund and oscillatory commutators, harmonic analysis on variable exponent spaces, and applications of analytical methods in generalized viscous incompressible fluid equations. His youth and regional fund engagements further highlight his long-term commitment to exploring complex structures within modern analysis. His research portfolio also includes six consultancy and industry-related projects, showing the practical value of his theoretical insights in applied contexts. Through sustained collaborations across national research programs, contributions to mathematical problem-solving, and active engagement with global research communities, Prof. Sun has established a respected academic profile. His work continues to influence harmonic analysis, theory, and interdisciplinary applications where rigorous mathematical frameworks are essential.

Profiles:  Scopus | ORCID 

Featured Publications

Sun, X., Ma, R., & Li, F. Global well-posedness for the fractional magneto-micropolar equations in variable exponent Fourier Besov spaces. Computational Mathematics and Mathematical Physics.

Ma, Ruohong. & Sun, X. Global well-posedness for the Boussinesq–Coriolis equations in variable exponent Fourier Besov Morrey spaces. Pure Mathematics.

Zhang, J., & Sun, X. Adaptedness of Wick product on Guichardet-Fock space. Research Square.

Sun, X., Wu, Y., & Xu, G. Global well-posedness for the 3D rotating Boussinesq equations in variable exponent Fourier Besov spaces. AIMS Mathematics.

Sun, X., Liu, M., & Zhang, J. Global well-posedness for the generalized Navier–Stokes–Coriolis equations with highly oscillating initial data. Mathematical Methods in the Applied Sciences.

Zhaoxia Li | HR Technology and Digital Transformation | Research Excellence Award

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Mrs. Zhaoxia Li | HR Technology and Digital Transformation | Research Excellence Award

Associate Professor | The University of  Yunnan University of Finance and Economics | China

Mrs. Zhaoxia Li is an emerging researcher in the field of Management Science and Engineering, specializing in supply chain management, digital transformation, and HR digitalization. Her scholarly work is driven by a commitment to strengthening the integration of data analytics and decision sciences within organizational systems, particularly focusing on the evolving dynamics of digital supply chains and human resource technologies. With a growing research portfolio, she has contributed to the development and evaluation of innovative decision models designed to improve efficiency, adaptability, and sustainability across complex supply chain environments. Her academic contributions span multiple peer-reviewed journals and conference publications, including studies on logistics alliance strategies, low carbon pharmaceutical cold chain distribution, intelligent cold chain quality control, and evolutionary game models for distribution optimization. These publications demonstrate her ability to merge theoretical modeling with practical industry challenges, offering actionable insights for digital transformation in modern enterprises. She has published four academic papers, including two journal articles indexed in SCI and Scopus, which reflect her increasing impact within her discipline. Mrs. Li has completed or is currently engaged in five research projects, including work related to digital tools, evolutionary models, and algorithm-driven optimization. Her research has also generated a patent currently under review, underscoring her inclination toward applied innovation. Although early in her research career, her contributions have already gained attention through growing citation activity and expanding scholarly collaborations. Her central research agenda emphasizes the construction of multi dimensional adaptive frameworks that integrate supply chain decision making with HR digitalization. This framework seeks to advance enterprise digital transformation by aligning operational processes, technology adoption, and organizational decision systems. Through her consistent academic output, systems oriented perspective, and commitment to digital innovation, Mrs. Li is establishing a meaningful trajectory within the global research community of Management Science and Engineering.

Profile: ORCID 

Featured Publications

Ran, W., Li, Z., Xue, Y., & He, D.  Literature review: Current trends and future prospects of digital vaccine supply chain support technology.

Li, Z., Ran, W., Zheng, H., & Xue, Y. Quality control of vaccine cold chain transportation under intelligent system monitoring From China’s experience. In Lecture Notes on Data Engineering and Communications Technologies.

Ran, W., Li, Z., & Xue, Y. Optimization and application of pharmaceutical low-carbon cold chain logistics distribution model based on improved ant colony algorithm.

Ran, W., He, D., Li, Z., Xue, Y., He, Z., & Basnayaka Gunarathnage, Research on distribution strategy of logistics enterprise alliance based on three-party evolution game.

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.

Sarina Hui-Lin Chien | Learning & Development | Research Excellence Award

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Prof. Sarina Hui-Lin Chien | Learning & Development | Research Excellence Award

Professor | The University of China Medical University | Taiwan

Prof. Sarina Hui-Lin Chien is a cognitive neuroscientist whose research bridges perceptual development, face processing, and early cognitive mechanisms across the lifespan. Her scholarly work, reflected in 32 peer-reviewed publications, over 307 citations, and an h-index of 12, demonstrates strong and sustained contributions to understanding how humans interpret, encode, and respond to complex visual and social information. A major theme in her research involves the developmental trajectory of face perception, including sensitivity to identity, race, emotional expressions, and trait inferences. She has conducted extensive studies examining how infants, children, and adults categorize faces, perceive trustworthiness, and discriminate subtle facial cues. This work extends to populations with atypical development, such as individuals with autism spectrum characteristics, providing insights into perceptual and social cognitive variability. Her investigations also contribute significantly to perceptual organization and early visual cognition, including studies on topological and geometric properties, visual short term memory, and the mechanisms underlying perceptual narrowing. By integrating behavioral methods, psychophysics, and eye tracking, she advances multi method approaches to understanding how perception evolves and adapts under different developmental and environmental conditions. Another core dimension of her scholarship explores how context, familiarity, and essentialist thinking shape visual categorization, race perception, and social preferences. This line of work intersects cognitive development with social cognition, offering a broader framework for understanding how perceptual biases emerge and change over time. Her recent projects investigate the impact of public health contexts such as mask-wearing on face recognition and emotional interpretation in children, reflecting her interest in real-world influences on cognitive development. Overall, Prof. Chien’s body of work illustrates a coherent and influential research program that deepens scientific understanding of visual cognition, developmental trajectories, and the foundations of human social perception.

Featured Publications

Ali, M., & Chien, S. H.-L. Within-person face recognition strongly correlates with objective face processing assessments: A study beyond the populations.

Lin, C.-Y., Ho, M. W.-R., & Chien, S. H.-L.  Exploring face perception efficiency in patients with lacunar stroke: A study with familiar and unfamiliar face recognition.

Wang, H.-T., Lyu, J.-L., & Chien, S. H.-L.  Dynamic emotion recognition and expression imitation in neurotypical adults and their associations with autistic traits. Sensors.

Junfeng Zhao | Learning & Development | Research Excellence Award

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Prof. Junfeng Zhao | Learning & Development | Research Excellence Award

Professor | The University of Henan University | China

Prof. Junfeng Zhao is an influential researcher in psychology whose scholarship integrates educational, developmental, health, and social psychology to address learning, adaptation, and mental health among children and adolescents. Across 98 publications, with 1,349 citations and an h-index of 26, his body of work combines rigorous empirical methods, longitudinal designs, and interdisciplinary approaches to investigate resilience, peer attachment, self-esteem, and school adaptation. He emphasizes applied outcomes measurement development, intervention design, and translation to educational practice while advancing theoretical understanding of developmental processes. A major strand of his research focuses on children affected by social disadvantages such as left-behind children, and those with sensory impairments examining risk and protective factors that shape psychological outcomes. Through multi-year tracking studies and psychometric scale evaluation, he has produced validated instruments and intervention-informed findings that clarify how family dynamics, peer relationships, and school contexts contribute to mental health trajectories. This work informs community based strategies and educational policies aimed at improving psychosocial supports for vulnerable groups. In educational psychology, his studies illuminate learning motivation, cognitive styles, learning strategies, and classroom processes, offering practical implications for curriculum design and teacher training. His research addresses early identification models for learning difficulties, the neural correlates of cognitive control and the psychological underpinnings of teacher professional identity and its influence on student well being. The portfolio demonstrates a productive mix of quantitative, qualitative, and neurophysiological methods. Methodologically, Zhao emphasizes mixed methods, longitudinal analyses, culturally sensitive measurement, and robust psychometrics strengthening the reliability and applicability of findings across contexts. His publications consistently bridge theory and practice, targeting educators, clinicians, and policymakers. The cumulative impact of his research lies in deepening understanding of how developmental mechanisms interact with social environments and in providing evidence-based frameworks for interventions that promote resilience and healthy development in children and adolescents. Overall, his work offers actionable frameworks for policy and practice.

Featured Publications

Huang, G., Qian, C., Newman-Norlund, R. D., Zhao, J., & Li, X.  Perceived stigma mediates the relationship between regional gray matter volume and aggressive behavior in children affected by parental.

Ji, L., Yu, Y., Wan, J., Zhang, Y., Zhao, J., & Chen, C. Relationship between cumulative peer risk and sense of security among adolescents: A moderated mediation model. BMC Psychology.

Wan, J., Ji, L., Wang, Z., Zhao, J., & Li, X.  Social exclusion and mental health of youths affected by parental HIV/AIDS in China: Based on a serial mediating model.

Chen, C., Wu, Q., Zhao, J., Zhao, G., Li, X., Du, H., & Chi, P. Enacted stigma influences bereavement coping among children orphaned by parental. A longitudinal study with network analysis.

Wu, J., Li, Q., Chi, P., Zhao, J., & Zhao, J. Mindfulness and well-being among socioeconomically disadvantaged college students: Roles of resilience and perceived discrimination.

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.