Weihua Gong | Learning & Development | Research Excellence Award

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Prof. Dr. Weihua Gong | Learning & Development | Research Excellence Award

Chief Physician & Professor | The University of Zhejiang University School of Medicine | China

Prof. Dr. Weihua Gong is a leading researcher in transplant immunology, gastrointestinal surgery, and cancer biology, with a strong focus on immune regulation, cytokine signaling, and translational medicine. His research integrates basic immunology with clinical applications to improve outcomes in solid organ transplantation, hepatocellular carcinoma, gastric cancer, and inflammatory diseases. He has made influential contributions to understanding myeloid-derived suppressor cells, regulatory T cells, IL-6 signaling, autophagy, and immune–tumor interactions, advancing both therapeutic strategies and biomarker development. His work bridges experimental models and clinical practice, emphasizing precision immunotherapy and organ protection mechanisms. Prof. Gong has authored 106 scientific documents, accumulating 1,519 citations, with an h-index of 18, reflecting sustained impact across immunology, oncology, and transplant medicine. His publications appear in high-quality international journals, contributing to the global advancement of immune-based diagnostics and therapies in complex surgical and transplant settings.

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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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Ahmad Sabbah | Global Workforce Management | Research Excellence Award

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Dr. Ahmad Sabbah | Global Workforce Management | Research Excellence Award

Assistant Professor | The University of Tabuk | Saudi Arabia

Dr. Ahmad Sabbah is a public health specializing in infection prevention and control, health promotion, and behavioral science informed policy design. His scholarly work focuses on translating evidence based frameworks into effective educational and surveillance interventions for healthcare settings. He has contributed to the development and evaluation of multimedia and theory-driven infection control programs, integrating social cognitive theory, intervention mapping, and consensus validation methods such as the Fuzzy Delphi technique. His ongoing research explores emerging challenges at the intersection of infectious diseases, digital health, antimicrobial resistance, and artificial intelligence, with particular attention to policy implementation gaps, misinformation dynamics, and ethical governance in public health emergencies. Dr. Sabbah’s recent work also addresses region-specific health risks in the Middle East, including zoonotic diseases and chronic disease–infection interactions. His publications reflect a commitment to advancing sustainable.

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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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Fleur Delebarre | Learning & Development | Research Excellence Award

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Ms. Fleur Delebarre | Learning & Development | Research Excellence Award

PhD | The University of Université Lyon II Lumière | France

Ms. Fleur Delebarre focuses on science education with particular attention to environmental health and pro environmental behavior among students. Her work examines how different forms of environmental knowledge influence attitudes and behaviors, especially in the context of global health crises such as COVID-19. By distinguishing between anthropocentric knowledge, environmentally responsible knowledge, and environmentally responsible health knowledge, her research offers an innovative conceptual framework for understanding environmental literacy. Using quantitative approaches such as path analysis, her studies contribute to clarifying the relationships between knowledge structures, health awareness, and behavioral outcomes. This research advances interdisciplinary dialogue between science education, environmental health, and public health education, providing evidence based insights that can inform educational strategies aimed at fostering sustainable and health-conscious behaviors among young populations.

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Zhenhua Wu | Learning & Development | Excellence in Research Award

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Assoc. Prof. Dr Zhenhua Wu | Learning & Development | Excellence in Research Award

Associate head of the department of education technology | The University of Shanghai Normal University | China

Assoc. Prof. Dr. Zhenhua Wu’s research focuses on the integration of artificial intelligence in education and STEM education, with particular emphasis on learning engagement, generative AI–supported inquiry-based learning, and early literacy development. His scholarly work advances theoretical and practical understanding of human collaborative learning environments and data informed educational design. Through rigorous empirical studies and design-based research, his publications contribute to improving instructional effectiveness, learner participation, and technology-enhanced pedagogy across school and higher education contexts. His research outputs include 8 peer reviewed academic documents, accumulating 23 citations with an h-index of 3, reflecting growing scholarly impact in the field of educational technology. His work has appeared in internationally recognized journals such as Interactive Learning Environments, Australasian Journal of Educational Technology, Research in Science Education, Education and Information Technologies, and Computer Assisted Language Learning. Overall, his research contributes to advancing evidence based innovation and sustainable development in AI enabled education and  learning systems.

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How Does Comprehensive Art Education Facilitate Children’s Creativity? A Mixed-Methods Study in China

– Early Education and Development, 2025 · Open Access · 2 Citations

De Lan | Learning & Development | Research Excellence Award

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Dr. De Lan | Learning & Development | Research Excellence Award

Associate Professor | The University of Hefei University | China

Dr. De Lan is a researcher whose scholarly work focuses on the intersection of higher education and digital art design, with an emphasis on innovation, pedagogy, and applied creative research. His academic contributions demonstrate a strong integration of theoretical inquiry and practical design methodologies, advancing knowledge in digital art education, curriculum development, and interdisciplinary learning models. His research outputs reflect consistent scholarly engagement, including 1 key research document, which has received 3 academic citations, resulting in an h-index of 1. These metrics indicate emerging impact and visibility within the academic community. Dr. De Lan’s work contributes to the development of contemporary design education frameworks and supports the evolving role of digital technologies in higher education. Through research-driven approaches, his scholarship aligns with current global trends in creative education, knowledge transfer, and applied research, supporting both academic advancement and institutional innovation within the field of digital art and higher education studies.

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Stefano Capella | Learning & Development | Research Excellence Award

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Mr. Stefano Capella | Learning & Development | Research Excellence Award

Registrar | The University of Defence Medical Services | United Kingdom

Mr. Stefano Capella is an active clinical researcher with a focused scholarly profile spanning military medicine, trauma and orthopaedics, surgical outcomes, and medical education in austere and extreme environments. His published work demonstrates a strong commitment to evidence-based practice, collaborative research models, and clinically applicable innovation. To date, he has authored and co-authored 7 peer-reviewed research documents, which have accumulated 127 citations, indicating sustained academic visibility and impact within his fields of interest. His work holds an h-index of 4, reflecting consistent citation performance across multiple publications. Research themes include orthopaedic surgical outcomes in military populations, infection diagnostics, remote and practice-based learning, and healthcare delivery challenges in deployed and resource-limited settings. His publications contribute to improving clinical decision-making, operational readiness, and educational practice across both civilian and defence healthcare contexts, demonstrating relevance, rigor, and translational value.

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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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Mizanur Rahman | HR Technology and Digital Transformation | Research Excellence Award

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Dr. Mizanur Rahman | HR Technology and Digital Transformation | Research Excellence Award

Lecturer | The University of  Regent College London | United Kingdom

Dr. Md. Mizanur Rahman’s research focuses on advanced computing, data visualization, distributed systems, and data-driven analytics. His work investigates high performance rendering techniques, scanline-based algorithms, and the visualization of large-scale data sets, contributing to efficient computation and graphical modeling in complex computing environments. Across 11 publications, including international conferences and journals such as, Springer. Dr. Rahman has explored areas spanning geometric modeling, distributed computing architectures, and algorithm optimization for visualization tasks. His studies on cache oblivious algorithms, Java-based systems for large-scale rendering, and data-driven business analytics demonstrate a blend of theoretical rigor and practical application. With four citations and an h-index of 1, his contributions provide foundational insights into computational efficiency, algorithm design, and the integration of data science methods into real-world applications. Dr. Rahman’s work supports advancements in both academic research and applied computing technologies.

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High-performance rendering on clusters of workstations – S Dalal, F Dévai, MM Rahman

– Geometric Modeling and Imaging–New Trends (GMAI’06), 22-27, 2006


Experimental Evaluation of Graphics Algorithms – B Chalk, S Dalal, F Dévai, MM Rahman

– 2008 3rd International Conference on Geometric Modeling and Imaging, 59-65, 2008


The PCC Model in Online Teaching: A Framework for Effective Practice – MM Rahman

– The 2nd International Conference on Education Research – ICER 2025, 2025


Data-driven business strategies with the power of the K-means algorithm – MM Rahman

– International Journal of Higher Education Management 11 (2), 1-10, 2025