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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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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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.

Imran Imran | Rewards & Recognition | Research Excellence Award

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Prof. Imran Imran | Rewards & Recognition | Research Excellence Award

Prof | The University of South China Agricultural University | China

Dr. Imran is an accomplished agronomist and climate-smart agriculture researcher whose work spans crop production, soil health, environmental sustainability, UAV aerodynamics in agriculture, and climate change impacts on agro ecosystems. With two international postdoctoral fellowships one in UAV & rotorcraft microclimate engineering  South China Agricultural University, China  and another in soil health, carbon sequestration, and climate change mitigation  Çukurova University, Turkey he has emerged as a leading contributor to advanced agricultural technologies and regenerative farming systems. His multidisciplinary expertise integrates crop science, plant physiology, soil ecology, nano agriculture, biochar technology, heavy metal remediation, phosphorus biofortification, and carbon-based soil amendments. Dr. Imran has authored several internationally published books spanning agronomy, UAV applications in agriculture, climate-smart strategies, soil restoration, and sustainable food systems, including multiple titles with Springer and Taylor & Francis. With 59 peer reviewed research articles published across high impact international journals, his scientific contributions cover rotor wind microclimate engineering, nano fertilizers, organic inorganic nutrient synergy, heavy metal mitigation, carbon dynamics, and climate resilient cropping systems. His work is widely recognized, with numerous publications in the Journal of Plant Nutrition, Communications in Soil Science and Plant Analysis, International Journal of Phytoremediation, Agriculture, Agronomy, and Scientific Reports.

Profile: ORCID 

Featured Publications

Imran, & Li, J. Crop interaction with UAVs.

Imran, & Li, J. Drone airflow dynamics and crop interaction.

Imran, & Li, J. Enhanced agricultural productivity: UAV-based technology for precision crop yield estimation and disease detection.

Imran, & Li, J. Environmental and economic impact of UAV technology in agriculture.

Imran, & Li, J. Environmental impact and sustainability.

Zhaoxia Li | HR Technology and Digital Transformation | Research Excellence Award

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Mrs. Zhaoxia Li | HR Technology and Digital Transformation | Research Excellence Award

Associate Professor | The University of  Yunnan University of Finance and Economics | China

Mrs. Zhaoxia Li is an emerging researcher in the field of Management Science and Engineering, specializing in supply chain management, digital transformation, and HR digitalization. Her scholarly work is driven by a commitment to strengthening the integration of data analytics and decision sciences within organizational systems, particularly focusing on the evolving dynamics of digital supply chains and human resource technologies. With a growing research portfolio, she has contributed to the development and evaluation of innovative decision models designed to improve efficiency, adaptability, and sustainability across complex supply chain environments. Her academic contributions span multiple peer-reviewed journals and conference publications, including studies on logistics alliance strategies, low carbon pharmaceutical cold chain distribution, intelligent cold chain quality control, and evolutionary game models for distribution optimization. These publications demonstrate her ability to merge theoretical modeling with practical industry challenges, offering actionable insights for digital transformation in modern enterprises. She has published four academic papers, including two journal articles indexed in SCI and Scopus, which reflect her increasing impact within her discipline. Mrs. Li has completed or is currently engaged in five research projects, including work related to digital tools, evolutionary models, and algorithm-driven optimization. Her research has also generated a patent currently under review, underscoring her inclination toward applied innovation. Although early in her research career, her contributions have already gained attention through growing citation activity and expanding scholarly collaborations. Her central research agenda emphasizes the construction of multi dimensional adaptive frameworks that integrate supply chain decision making with HR digitalization. This framework seeks to advance enterprise digital transformation by aligning operational processes, technology adoption, and organizational decision systems. Through her consistent academic output, systems oriented perspective, and commitment to digital innovation, Mrs. Li is establishing a meaningful trajectory within the global research community of Management Science and Engineering.

Profile: ORCID 

Featured Publications

Ran, W., Li, Z., Xue, Y., & He, D.  Literature review: Current trends and future prospects of digital vaccine supply chain support technology.

Li, Z., Ran, W., Zheng, H., & Xue, Y. Quality control of vaccine cold chain transportation under intelligent system monitoring From China’s experience. In Lecture Notes on Data Engineering and Communications Technologies.

Ran, W., Li, Z., & Xue, Y. Optimization and application of pharmaceutical low-carbon cold chain logistics distribution model based on improved ant colony algorithm.

Ran, W., He, D., Li, Z., Xue, Y., He, Z., & Basnayaka Gunarathnage, Research on distribution strategy of logistics enterprise alliance based on three-party evolution game.

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.

Junfeng Zhao | Learning & Development | Research Excellence Award

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Prof. Junfeng Zhao | Learning & Development | Research Excellence Award

Professor | The University of Henan University | China

Prof. Junfeng Zhao is an influential researcher in psychology whose scholarship integrates educational, developmental, health, and social psychology to address learning, adaptation, and mental health among children and adolescents. Across 98 publications, with 1,349 citations and an h-index of 26, his body of work combines rigorous empirical methods, longitudinal designs, and interdisciplinary approaches to investigate resilience, peer attachment, self-esteem, and school adaptation. He emphasizes applied outcomes measurement development, intervention design, and translation to educational practice while advancing theoretical understanding of developmental processes. A major strand of his research focuses on children affected by social disadvantages such as left-behind children, and those with sensory impairments examining risk and protective factors that shape psychological outcomes. Through multi-year tracking studies and psychometric scale evaluation, he has produced validated instruments and intervention-informed findings that clarify how family dynamics, peer relationships, and school contexts contribute to mental health trajectories. This work informs community based strategies and educational policies aimed at improving psychosocial supports for vulnerable groups. In educational psychology, his studies illuminate learning motivation, cognitive styles, learning strategies, and classroom processes, offering practical implications for curriculum design and teacher training. His research addresses early identification models for learning difficulties, the neural correlates of cognitive control and the psychological underpinnings of teacher professional identity and its influence on student well being. The portfolio demonstrates a productive mix of quantitative, qualitative, and neurophysiological methods. Methodologically, Zhao emphasizes mixed methods, longitudinal analyses, culturally sensitive measurement, and robust psychometrics strengthening the reliability and applicability of findings across contexts. His publications consistently bridge theory and practice, targeting educators, clinicians, and policymakers. The cumulative impact of his research lies in deepening understanding of how developmental mechanisms interact with social environments and in providing evidence-based frameworks for interventions that promote resilience and healthy development in children and adolescents. Overall, his work offers actionable frameworks for policy and practice.

Featured Publications

Huang, G., Qian, C., Newman-Norlund, R. D., Zhao, J., & Li, X.  Perceived stigma mediates the relationship between regional gray matter volume and aggressive behavior in children affected by parental.

Ji, L., Yu, Y., Wan, J., Zhang, Y., Zhao, J., & Chen, C. Relationship between cumulative peer risk and sense of security among adolescents: A moderated mediation model. BMC Psychology.

Wan, J., Ji, L., Wang, Z., Zhao, J., & Li, X.  Social exclusion and mental health of youths affected by parental HIV/AIDS in China: Based on a serial mediating model.

Chen, C., Wu, Q., Zhao, J., Zhao, G., Li, X., Du, H., & Chi, P. Enacted stigma influences bereavement coping among children orphaned by parental. A longitudinal study with network analysis.

Wu, J., Li, Q., Chi, P., Zhao, J., & Zhao, J. Mindfulness and well-being among socioeconomically disadvantaged college students: Roles of resilience and perceived discrimination.

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.

Zemenu Tadesse Adimas | HR Technology and Digital Transformation | Editorial Board Member

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Mr. Zemenu Tadesse Adimas | HR Technology and Digital Transformation | Editorial Board Member

Lecturer And Researcher | The University of  Bahir Dar University | Ethiopia

Mr. Zemenu Tadesse Adimas is an emerging researcher in the fields of Food Engineering and Biotechnology, with a strong scholarly focus on food product development, formulation, and natural preservation strategies. His academic background in Food Technology and Food Process Engineering has provided a solid foundation for exploring innovative, sustainable, and science-driven approaches to enhancing food quality and safety. He is particularly interested in the utilization of natural preservatives, improvement of indigenous foods, and optimization of storage technologies to reduce post-harvest losses. His research contributions span various critical topics in food science, including shelf-life extension, food processing, bioactive compounds, and the integration of traditional and modern preservation methods. His published works demonstrate both depth and breadth, covering microbial stability, physicochemical property optimization, sensory quality enhancement, hermetic storage systems, and the use of plant-based bioactive compounds for grain protection. These publications appear in reputable international journals such as Cogent Food & Agriculture, Applied Food Research, Heliyon, and the Poly Journal of Engineering and Technology. A notable portion of his work examines the effects of processing conditions such as temperature, time, and formulation ratios on the quality attributes of food and beverage products. His studies on cinnamon extract for juice preservation, roasting parameters for plant beverages, and flour blending for biscuit production showcase his commitment to developing practical, scalable solutions for industry and community-level food systems. His scientific interests also extend to post-harvest technology, where he has investigated hermetic storage methods to minimize losses in staple crops such as maize and wheat. Through systematic experimental design, analytical evaluation, and interdisciplinary collaboration, he contributes to improving food security and promoting value-added food innovations. Across his research portfolio, Zemenu emphasizes evidence-based problem solving, sustainability, and the enhancement of traditional knowledge through modern food science techniques.

Featured Publications

Abera, B. D., Adimas, Z. T., Adimas, M. A., Alemayehu, A. J., & Geletu, M. G. Effect of blending ratios of roasted and unroasted lupine flour on the physicochemical properties, antinutritional factors, and organoleptic qualities of wheat–lupine composite bread. Applied Food Research.

Alemayehu, A. J., Adimas, Z. T., & Abera, B. D. The effect of sugar concentration and storage time on the physicochemical, microbial, and sensory properties of ginger drink. Applied Food Research.

Adimas, Z. T., & Abera, B. D. Effect of roasting time and temperature on the physicochemical and sensory properties of plant beverage from groundnut. Applied Food Research.

Adimas, Z. T., Adimas, M. A., & Abera, B. D.  Plant-based bioactive compounds for grain storage: A comprehensive review. Cogent Food & Agriculture.