Hamida Riahi | Conflict Resolution & Mediation | Research Excellence Award

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Dr. Hamida Riahi | Conflict Resolution & Mediation | Research Excellence Award

Lecturer | The University of Northern Border University | Saudi Arabia

Dr. Hamida Riahi is a scholar of contemporary literary and cultural studies whose research engages with postcolonial theory, gender studies, trauma narratives, and Arab/Muslim representation in Anglophone literature. Her work foregrounds intersectionality, Islamic feminism, diaspora studies, and discourse analysis, with particular attention to narrative voice, identity formation, and power structures. She has authored and co authored 6 scholarly documents, published with internationally recognized academic presses and peer-reviewed journals, including outlets indexed in Scopus and the Web of Science. Her publications examine themes such as intertextuality, trauma, migration, racism, and the sociocultural implications of emerging technologies in education and writing practices. Dr. Riahi’s scholarship has received 1 citation, reflecting its growing academic impact, and she currently holds an h-index of 1. Through interdisciplinary and critically engaged research, her work contributes to ongoing global conversations on literature, identity, gender justice, and cultural politics.

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Wang Shiyi | HR Branding & Marketing | Research Excellence Award

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Ms. Wang Shiyi | HR Branding & Marketing | Research Excellence Award

Teaching Assistant | The University of Hankou University | China

Ms. Wang Shiyi is a researcher whose scholarly work focuses on cultural industry studies, cultural policy, and interdisciplinary approaches to humanities and social sciences. Through a disciplinary and policy oriented perspective, her work contributes to understanding how cultural systems evolve within broader social, economic, and institutional frameworks. Wang’s research emphasizes analytical rigor, combining cultural theory with empirical observation to address issues such as cultural resource management, narrative forms in cultural production, and the modernization of cultural governance. Her academic contribution is characterized by a clear methodological orientation and engagement with current debates in cultural studies and management. To date, she has authored 1 scholarly document, which has received 10 academic citation, reflecting emerging recognition of her research within the field and laying a foundation for future scholarly development.

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Featured Publication

The Impact of Air Pollution on the Protection of World Cultural Heritage in China

International Journal of Environmental Research and Public Health, 2022

 

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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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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Featured Publications


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

 

Guoqiang Feng | Employee Engagement | Research Excellence Award

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Dr. Guoqiang Feng | Employee Engagement | Research Excellence Award

Associate Professor | The University of  Lanzhou University | China

Dr. Guoqiang Feng is an economist whose research spans organizational theory, institutional economics, governance, environmental policy, and urban and industrial economics. His work integrates both theoretical and empirical approaches, with a focus on local governance, environmental regulation, and the interaction between institutions and economic outcomes. Feng’s studies explore the role of organizational structures, institutional arrangements, and governance mechanisms in shaping economic and social processes, with recent emphasis on environmental governance, digital transformation, and enterprise life cycles. Among his notable publications are “Gender Bias in Leadership in Environmental Governance” , “A Study on the Impact of Growth Targets on the Allocation of Local Environmental Attention” , “The Boundaries of the Role of Interviews: A Case Study of Neighboring Cities’ Feedback Responses to Interviews by the Ministry of Environmental Protection” , “Rent and Taxation: The Theoretical Logic of Local Government Role Selection and “The Level of Decentralization and Property Rights Protection”. Dr. Feng’s research has been widely cited, with over 25 citations across multiple journals. His scholarly influence is reflected in an h-index of 2. His work is recognized for bridging institutional theory with empirical insights, offering policy relevant evidence on governance, environmental management, and organizational dynamics, contributing to both academic discourse and applied economic strategies.

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Featured Publication

Kazem Badv | Learning & Development | Research Excellence Award

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Prof. Kazem Badv | Learning & Development | Research Excellence Award

Faculty Member, Professor | The University of  Urmia University | Iran

Prof. Kazem Badv is a distinguished scholar in Civil and Environmental Engineering with extensive contributions to geotechnical and geo-environmental research. His academic work spans soil mechanics, environmental geotechnics, unsaturated soils, and solid waste engineering, with a focus on advancing sustainable solutions for challenging soil and environmental conditions. Over his career, he has developed notable expertise in marine geotechnics, geosynthetics, and environmental impact assessment related to large-scale infrastructure projects. Prof. Badv has authored 23 research documents that collectively reflect his multidisciplinary approach to complex engineering problems. His publications have attracted 164 citations and achieved an h-index of 8, underscoring the significance and growing impact of his work in the scientific community. He has also contributed to the advancement of knowledge through multiple books in soil mechanics, environmental geotechnics, and landfill engineering, helping shape academic learning and professional practice. His research emphasizes innovative solutions for soil behavior analysis, waste containment systems, contaminant transport, and environmental risk mitigation. Through pioneering efforts, including leading an Environmental Geotechnics Research Laboratory, he continues to foster scientific inquiry, mentor emerging researchers, and contribute to the global advancement of geo-environmental engineering.

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Featured Publications

Selman Kızılkaya | Health Management | Best Academic Researcher Award

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Assoc. Prof. Dr. Selman Kızılkaya | Health Management | Best Academic Researcher Award

Head of the Department of Health Management | The University of Dicle University | Turkey

Assoc. Prof. Dr. Selman Kızılkaya is a researcher in health management whose work focuses on critical challenges influencing healthcare systems, professional well-being, and public trust. His research spans healthcare system distrust, violence against healthcare professionals, work engagement, burnout, epidemic-related anxiety, reproductive health, and behavioral determinants shaping health outcomes. He has contributed more than 20 publications in internationally indexed journals, including SCI and Scopus outlets such as Discover Psychology, Current Psychology, Health Expectations, Discover Social Science and Health, and Disaster Medicine & Public Health Preparedness. His Google Scholar metrics 78 citations, h-index of 5, and i10-index of 2 reflect the growing influence of his interdisciplinary scholarship. A significant aspect of his work lies in developing and validating psychometric scales that capture healthcare professionals’ experiences, patient provider communication dynamics, and public perceptions of health systems. His studies provide evidence-based insights that support policy development, improve workplace safety in healthcare settings, and reinforce trust-building strategies between patients and health institutions. He is also engaged in collaborative research across public health, behavioral science, and organizational psychology, contributing to knowledge that informs healthcare workforce policies and patient centered care. His ongoing research continues to shape understanding of health behavior and system-level determinants affecting healthcare quality and outcomes.

Profiles: ORCID | Google Scholar 

Featured Publications

Kızılkaya, S., & Şenel Tekin, P. The effect of COVID-19 on quality of life: A community-based study in Türkiye. Disaster Medicine and Public Health Preparedness.

Kizilkaya, S., Şeremet, G. G., & Ekİncİ, N. Fertility-related quality-of-life scale for women: Development and validation. Women’s Reproductive Health.

Kizilkaya, S., & Ekİncİ, N. The moderating effects of gender and age on the relationship between stress management training, work engagement, and epidemic anxiety in healthcare professionals. Discover Psychology.

Durgun, B., & Kızılkaya, S. Determinants of fertility rates in Türkiye: The role of women’s income, human capital, participation in civil society and life expectancy.

Kızılkaya, S., & Buğdali, B. he relationship between healthcare system distrust and intention to use violence against health professionals: The mediating role of health news perceptions.

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.

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.

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.