Ahraemi Kim | Work-Life Balance | Research Excellence Award

Assoc. Prof. Dr. Ahraemi Kim | Work-Life Balance | Research Excellence Award

Associate Professor | The University of Seoul Women’s University | South Korea

Assoc. Prof. Dr. Ahraemi Kim is a scholar whose advances knowledge in diversity management, social policy, and human service systems. With 11 peer reviewed publications, her work has achieved significant academic visibility, accumulating 630 citations and an h-index of 10, reflecting sustained scholarly impact. Her research examines how organizational diversity strategies influence service effectiveness, equity, and outcomes within social welfare and child-focused systems. Through empirical analysis and policy-oriented inquiry, her publications contribute to evidence based discussions on service delivery models, workforce development, and child rights frameworks. Her work is recognized for integrating organizational theory with social welfare policy, offering practical insights relevant to policymakers, practitioners, and researchers alike. The citation performance of her publications demonstrates strong engagement within the fields of social work, social policy, and human services, underscoring the relevance and influence of her scholarly contributions at both national and international levels.

Citation Metrics (Scopus)

700

500

300

100

0

Citations
630

Documents
11

h-index
10

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Featured Publication

 

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

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.

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

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,