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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Yu-Liang Zhang | Learning & Development | Research Excellence Award

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Prof. Dr. Yu-Liang Zhang | Learning & Development | Research Excellence Award

Professor | The University of Quzhou University | China

Prof. Dr. Yu-Liang Zhang is an expert in fluid machinery, computational fluid dynamics and numerical simulation, with a focus on centrifugal pumps and turbines. His research encompasses theoretical modeling, experimental investigations, and numerical simulations to analyze pump performance, flow characteristics, startup processes, and efficiency under various operating conditions. Zhang has significantly contributed to understanding transient flow, volumetric and hydraulic efficiency, and spatio temporal flow dynamics in pumps and turbines. He has authored 138 documents, which have garnered over 1,014 citations, reflecting an h-index of 17. His publications include high-impact journal articles and academic monographs that explore both practical engineering applications and fundamental fluid mechanics principles. Zhang’s work provides valuable insights into optimizing pump and turbine design, improving energy efficiency, and enhancing the reliability of fluid machinery systems.

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Ander Ernaga Lorea | Leadership Development | Research Excellence Award

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Mr. Ander Ernaga Lorea | Leadership Development | Research Excellence Award

Doctor | The University of  Hospital Universitario de Navarra | Spain

Mr. Ander Ernaga Lorea is an accomplished researcher in the field of endocrinology and metabolic disorders, with a focus on thyroid diseases, acromegaly, hypercholesterolemia, and cerebrovascular complications. He has contributed as first author to nine peer-reviewed publications in high-impact indexed journals, addressing topics such as prognostic markers in thyroid carcinoma, glycemic alterations in acute stroke, chronic diarrhea as an early symptom of medullary thyroid carcinoma, and subclinical atherosclerosis in familial hypercholesterolemia. His work has been cited 65 times, reflecting the relevance and impact of his research 9 documents within the scientific community. He has also led the project, a strategic initiative applying genomic medicine to hypercholesterolemia. With an h-index of 5, his research demonstrates a commitment to advancing understanding of endocrine and metabolic pathologies through both clinical observation and translational studies.

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Tasawar Nawaz | Learning & Development | Research Excellence Award

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Assoc. Prof. Dr. Tasawar Nawaz | Learning & Development | Research Excellence Award

Assoc. Prof | The University of King Fahd University of Petrolium | Saudi Arabia

Assoc. Prof. Dr. Tasawar Nawaz research integrates both interpretive and positivist approaches, offering rigorous empirical and theoretical insights into governance mechanisms, executive characteristics, faith-based institutions, and financial performance. He has made significant contributions to high-impact international journals, including Financial Times Top-50 outlets, particularly the Journal of Business Ethics. Dr. Nawaz’s scholarly output comprises 32 peer-reviewed documents, which have collectively received 646 citations, reflecting strong academic influence and sustained research relevance. With an h-index of 11, his work demonstrates consistent citation performance across multiple research streams. His publications address contemporary issues such as CEO traits, military and religious entrenchment in governance, intellectual capital efficiency, practices, and Islamic finance structures, contributing meaningfully to global debates in accounting, finance, and strategic management research.

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Chunqiong Li | Learning & Development | Research Excellence Award

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Ms. Chunqiong Li | Learning & Development  | Research Excellence Award

Student | The University of  Southwest Forestry University |  China

Ms. Chunqiong Li is a researcher working at the intersection of computational materials science, adsorption materials, and energy related functional materials. Her research primarily focuses on first principles calculations to investigate gas adsorption mechanisms, electronic structure modulation, and charge transfer behaviors at material interfaces. By integrating density functional theory analysis with experimental validation, her work provides theoretical guidance for the design and optimization of adsorption materials for gas purification, environmental protection, and energy applications. She has authored 2 peer-reviewed documents, which have received 2 citations, with an h-index of 1, reflecting growing academic impact and research visibility within materials science and applied engineering fields.

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Novel two-dimensional K-Ge₂C₄ monolayer as an anode for Li-/Na-ion batteries with high theoretical capacity

– Colloids and Surfaces A Physicochemical and Engineering AspectsThis link is disabled.,2025 

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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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

 

Stephen Clear | Learning & Development | Research Excellence Award

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Mr. Stephen Clear | Learning & Development | Research Excellence Award

Director of Postgraduate Taught Programmes (Law) and Lecturer in Constitutional and Administrative Law | The University of  Bangor University | United Kingdom

Mr. Stephen Clear is a public law scholar whose work spans constitutional law, administrative justice, human rights, devolution, and public procurement. His research explores how legal frameworks shape democratic accountability, judicial oversight, and the evolving relationship between citizens and the state. A strong focus of his scholarship has been on the constitutional implications of major political developments such as Brexit, devolution reforms, and the modernisation of public administration across the UK. His published work includes analyses of judicial review trends, empirical evaluations of public procurement disputes, and assessments of the resilience of the UK’s constitutional arrangements. Clear has contributed significantly to understanding how small and medium-sized enterprises engage with public procurement systems, proposing policy reforms to enhance transparency, accessibility, and decision-making. His research has also addressed legal education, including students’ expectations, mooting pedagogies, and the internationalisation of legal study. As a contributor to public-facing legal commentary, he has written extensively on constitutional debates, human rights protections, judicial diversity, and political accountability. His commentary has been widely circulated through national and international media outlets, supporting better public understanding of legal issues. Clear’s commitment to bridging theory and practice is reflected in his presentation of research at major academic conferences and to professional, governmental, and international audiences. His work continues to contribute to contemporary discussions of constitutional reform, public law adjudication, and the development of inclusive, future-focused legal education.

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Let’s talk: a framework for supporting law students’ wellbeing

– Law Teacher, 2025

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Monim Al-Jiboori | Employee Engagement | Research Excellence Award

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Prof. Dr. Monim Al-Jiboori | Employee Engagement | Research Excellence Award

Attmospheric Science | The University of  Mustansiriyah University | Iraq

Prof. Dr. Monim Al-Jiboori is a leading scholar in atmospheric physics and environmental sciences, recognized for his influential contributions to boundary-layer meteorology, urban climatology, air pollution studies, and optical turbulence. With a publication record spanning 75 scientific documents, his work integrates theoretical, experimental, and modeling approaches to advance understanding of atmospheric processes in complex urban and semi-arid environments. His research portfolio reflects strong interdisciplinary depth, addressing turbulent fluxes, similarity theory, surface atmosphere interactions, aerosol optical properties, and environmental impacts of dust storms, industrial emissions, and climate variability. His early foundational studies on local similarity relationships, turbulence structure, and vertical variations in the atmospheric boundary layer remain widely referenced and continue to inform contemporary micro-meteorological research. In recent years, Prof. Al-Jiboori has focused extensively on urban atmospheric dynamics, including analyses of urban heat island behavior, aerodynamic roughness, refractive-index structure coefficients, and wind-energy assessment in densely built environments. His investigations on drought monitoring, synoptic meteorology, and climate-related hazards further contribute to environmental risk assessment and regional climate adaptation strategies. Across his body of work, Prof. Al-Jiboori has accumulated 341 citations and achieved an h-index of 13, underscoring the sustained impact of his research in atmospheric sciences. His publications appear in reputable journals such as Boundary Layer Meteorology, Advances in Atmospheric Sciences, Arabian Journal of Geosciences, and several regional journals addressing Middle Eastern climate challenges.

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Rafael Lemos Paes | People-Centric Leadership | Research Excellence Award

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Assist. Prof. Dr. Rafael Lemos Paes | People-Centric Leadership | Research Excellence Award

Pesquisador | The University of  Estado-Maior da Aeronáutica | Brazil

Assist. Prof. Dr. Rafael Lemos Paes is a researcher recognized for his contributions to orbital Synthetic Aperture Radar , remote sensing, and computational intelligence applied to defense, maritime surveillance, and electromagnetic environment analysis. His work spans analytical, methodological, and applied perspectives, advancing techniques for ship and target detection, pattern recognition, polarimetric SAR interpretation, and image processing for military and environmental applications. His publication set includes 8 scientific documents, accumulating 296 citations and an h-index of 8, reflecting consistent impact in geoscience and remote sensing communities. Paes has authored studies on based ship detection, multi-sensor comparisons, band camouflage detection models, and machine-learning approaches for recognizing artificial targets in complex environments. His research also supports operational domains such as maritime patrol, search-and-rescue missions, image interpretation, and radar signature understanding. Paes actively collaborates with national and international research groups, contributing to advancements in SAR oceanography, defense remote sensing, and AI-enhanced image analysis. His work frequently appears in specialized symposia and technical workshops, strengthening scientific exchange within aerospace, defense, and geospatial fields.

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