Wai Tsz Chang | Hearing Deficit | Outstanding Contribution Award

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Assist. Prof. Dr. Wai Tsz Chang | Hearing Deficit | Outstanding Contribution Award

Department of Otorhinolaryngology, Head and Neck surgery | The University of  The Chinese University of Hong Kong | Hong Kong

Assistant Professor Dr. Wai Tsz Chang is an academic clinician–scientist in otology and neurotology with a strong research focus on minimally invasive ear surgery, endoscopic otologic techniques, lateral skull base surgery, and hearing implantation. Her scholarly work integrates clinical innovation with outcomes research, epidemiology, and biostatistics, contributing to evidence-based advancement in otologic and neurotologic practice. She has led and participated in multicenter and interdisciplinary studies, including international collaborations on endoscopic ear surgery and technology-enhanced surgical training, as well as research on hearing rehabilitation and neuro-otologic disorders. Dr. Chang’s research portfolio includes 22 peer-reviewed publications, with a total of 166 citations and an h-index of 5, reflecting consistent academic impact within her specialty. Her work emphasizes translational relevance, surgical outcome optimization, and the development of novel techniques and technologies to improve patient care in otology and hearing sciences.

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Citations
166
Documents
22
h-index
5

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Elaheh Rahimi | Learning & Development | Research Excellence Award

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Mrs. Elaheh Rahimi | Learning & Development | Research Excellence Award

PhD Student | The University of Canterbury | New Zealand

Mrs. Elaheh Rahimi contributes to early childhood education, philosophy of education, and cultural linguistics by advancing theoretical and methodological understandings of meaning-making in educational contexts. Across 9 peer reviewed documents with 246 citations and an h-index of 5, the work integrates dialogic theory, cultural semiotics, and philosophical inquiry to examine how objects, language, and culture mediate learning and identity. A key contribution is the development of dialogic and Cassirer informed frameworks that reconceptualise infants’ engagement with objects as culturally situated, dynamic, and symbolically rich practices. The research extends beyond early childhood education to address intercultural competence, discourse analysis, and emerging issues such as artificial intelligence and childhood. Published in international journals and disseminated through scholarly conferences, this body of work bridges theory and practice, offering conceptual tools that inform culturally responsive pedagogy, curriculum design, and education policy in diverse and global contexts.

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Citations
246

Documents
9

h-index
5
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Xuebing Wang | AI in HR | Research Excellence Award

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Dr. Xuebing Wang | AI in HR | Research Excellence Award

Dr | The University of Xi’an Jiaotong University | China

Dr. Xuebing Wang is a scholar in business administration with research expertise in human resource management, organizational behavior, and technology ethics. His research primarily examines the ethical and psychological implications of emerging technologies in organizations, including artificial intelligence in recruitment, virtual environments, and digital monitoring. He is particularly interested in understanding how technology reshapes employee cognition, creativity, organizational attraction, and social responsibility. His work adopts interdisciplinary perspectives and employs rigorous quantitative and mixed-methods approaches. Dr. Wang has published and presented research in leading international journals and conferences in the fields of management and human resources, including studies on AI interviews, virtual game engagement, and supervisory monitoring as double edged organizational phenomena. His scholarship contributes to advancing theory and practice at the intersection of technology, ethics, and sustainable organizational development.

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Featured Publication

Kick robots away with heart and head: how and when AI interviews undermine organizational attraction
– The International Journal of Human Resource Management, 2025 Zhe Zhang; Xuebing Wang

Yijng Zhang | HR Technology and Digital Transformation | Excellence in Research Award

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Dr. Yijng Zhang | HR Technology and Digital Transformation | Excellence in Research Award

Postdoctoral Researcher | The University of Capital Normal University | China

Dr. Yijng Zhang  the gendered characteristics of writing media in women’s calligraphic practices during the Song Dynasty from the perspective of material culture. It explores how writing tools and material carriers were embedded with gender coding and social norms, shaping stylistic form, emotional expression, spatial organization, and identity construction in female calligraphy. The study analyzes differences in media selection and innovation among women of varying social classes, revealing how material choices functioned as both cultural resources and symbolic constraints. It further investigates gendered power dynamics in the circulation and evaluation of calligraphic works, including the intervention of male critics and the resistance strategies adopted by female calligraphers. By examining the reproduction and consumption of writing media, the research exposes mechanisms of gender discipline and the structural limits of media transformation. Overall, the study demonstrates how material media enabled women to accumulate cultural capital while simultaneously reinforcing gender boundaries, contributing a nuanced framework for understanding gender, materiality, and artistic identity in Chinese art history.

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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.

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,

Nasiwat Thanathitiphuwaphat | Learning & Development | Best Researcher Award

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Mr. Nasiwat Thanathitiphuwaphat | Learning & Development | Best Researcher Award

Graduate Student | The University of Chulalongkorn University | Thailand

Mr. Nasiwat Thanathitiphuwaphat is a researcher specializing in applied economics, with focused interests in the economics of education, labor economics, and microeconomics. His scholarly work integrates quantitative analysis with a policy-oriented perspective, emphasizing how education and labor systems contribute to equitable and sustainable economic growth. His academic foundation in economics has enabled him to develop research that explores the intersection of individual decision-making, institutional structures, and social outcomes. His published thesis, “Rational Decision-Making Model: AP Micro, AP Macro, A-Level Economics, and IB Economics,” featured in the Journal of Teaching in International Business, provides an innovative framework for understanding economic reasoning in education. The study analyzes how curriculum design and economic learning frameworks influence cognitive behavior and student performance, contributing to the broader literature on education economics and pedagogy. Building on this, his ongoing working papers examine topics such as fair college admissions, educational investment efficiency, and the role of pre-university economics in shaping university outcomes. Collectively, these studies aim to enhance fairness, transparency, and inclusivity within educational and labor systems. In addition to academic research, his work extends to applied economic issues related to labor rights, workforce management, and responsible business conduct. His participation in research and policy dialogues within Southeast Asia reflects a commitment to addressing contemporary challenges surrounding human capital, migration, and labor equity. Employing econometric and data-driven approaches, his research contributes to evidence-based policymaking that supports social and economic inclusion. His research direction is defined by an analytical yet human centered approach, integrating economic modeling with empirical insights. By connecting education, labor, and development economics, his work advances the understanding of how economic principles can be applied to create fairer systems of opportunity and enhance long-term socioeconomic well-being.

Featured Publication

Thanathitiphuwaphat, N., & Tipayalai, K. Rational decision-making model: AP Micro, AP Macro, A-Level Economics, and IB Economics. Journal of Teaching in International Business.