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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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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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.

Xiaochun Sun | Learning & Development | Research Excellence Award

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Prof. Dr. Xiaochun Sun | Learning & Development | Research Excellence Award

Professor | The University of  Northwest Normal University | China

Prof. Dr. Xiaochun Sun is a leading scholar in harmonic analysis and partial differential equations, recognized for advancing several foundational and emerging areas within modern mathematical analysis. His research spans Littlewood Paley theory, time-frequency analysis, potential theory, and analytical methods related to fluid dynamics, forming a cohesive body of work that contributes both to theoretical mathematics and to its applied dimensions. His studies frequently intersect classical harmonic analysis with complex operator theory, enabling refined tools for understanding differential equations and non-linear mathematical models. With thirty-five publications in high quality and Scopus-indexed journals, his research output demonstrates breadth, depth, and sustained scholarly productivity. His articles appearing in journals such as Mathematics, Journal of Evolution Equations, Mathematical Methods in the Applied Sciences, and Frontiers of Mathematics reflect a strong command of analytical techniques, careful formulation of mathematical problems, and contributions that open pathways for continued development in analysis and . Prof. Sun has played a substantial role in national research development through nine funded projects supported by the National Natural Science Foundation of China . These projects address advanced problems such as the study of function spaces linked to differential operators, boundedness of Calderón Zygmund and oscillatory commutators, harmonic analysis on variable exponent spaces, and applications of analytical methods in generalized viscous incompressible fluid equations. His youth and regional fund engagements further highlight his long-term commitment to exploring complex structures within modern analysis. His research portfolio also includes six consultancy and industry-related projects, showing the practical value of his theoretical insights in applied contexts. Through sustained collaborations across national research programs, contributions to mathematical problem-solving, and active engagement with global research communities, Prof. Sun has established a respected academic profile. His work continues to influence harmonic analysis, theory, and interdisciplinary applications where rigorous mathematical frameworks are essential.

Profiles:  Scopus | ORCID 

Featured Publications

Sun, X., Ma, R., & Li, F. Global well-posedness for the fractional magneto-micropolar equations in variable exponent Fourier Besov spaces. Computational Mathematics and Mathematical Physics.

Ma, Ruohong. & Sun, X. Global well-posedness for the Boussinesq–Coriolis equations in variable exponent Fourier Besov Morrey spaces. Pure Mathematics.

Zhang, J., & Sun, X. Adaptedness of Wick product on Guichardet-Fock space. Research Square.

Sun, X., Wu, Y., & Xu, G. Global well-posedness for the 3D rotating Boussinesq equations in variable exponent Fourier Besov spaces. AIMS Mathematics.

Sun, X., Liu, M., & Zhang, J. Global well-posedness for the generalized Navier–Stokes–Coriolis equations with highly oscillating initial data. Mathematical Methods in the Applied Sciences.

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.

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.

Imran Muhammad | Learning & Development | Research Excellence Award

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Dr. Imran Muhammad | Learning & Development | Research Excellence Award

PostDoc | The University of Xinjiang University | China

Dr. Imran Muhammad is an accomplished researcher in advanced analytical chemistry, with a strong publication record comprising 35 scientific documents, 276 citations, and an h-index of 11. His work spans a diverse range of contemporary research fields, with a central focus on sensor technologies, analytical method development, and environmental monitoring. His expertise bridges multiple interdisciplinary domains, including fluorescent probe design, chemosensors, biosensors, polymer-based sensing platforms, computational chemistry, and catalysis. A significant portion of his research is dedicated to developing innovative sensing systems for detecting toxic environmental pollutants such as mercury ions nitroaromatics, dioxins, and heavy metals. He has made notable contributions to the design of dansyl-based fluorescent sensors, graphene oxide–based solid-phase sensing materials, and β-cyclodextrin inclusion complexes, offering enhanced selectivity, sensitivity, and environmental applicability. Providing an efficient tool for water-quality assessment. In addition to sensor development, his research extends to molecularly imprinted polymers photocatalytic nanomaterials, surface modification, solid-phase extraction, and advanced material synthesis. His studies in photocatalysis, catalytic pyrolysis of plastics, and nanostructured metal oxides contribute to sustainable technologies and environmental remediation. Dr. Muhammad’s technical skills span a broad array of analytical instruments, including Fluorescence spectroscopy, and supporting his capacity to conduct rigorous and high-impact experimental work. He also integrates computational studies to elucidate molecular interactions and sensing mechanisms, strengthening the theoretical foundation of his analytical methodologies. Through continuous publication in high-ranking journals and participation in global scientific discussions, he maintains a strong commitment to advancing analytical chemistry and environmental science, with research aimed at delivering practical, efficient, and sustainable technological solutions.

Featured Publication

Yao, N., Cai, Y., Li, J., Nulahong, A., Okitsu, Imran, M., & Ren, T. Enhanced low-temperature performance of CO₂ methanation over Ni-Y zeolite molecular sieve.

Khan, M. I., Kim, H. Y., Ali, R., & Miyazaki, S. A comparison of conventional aging and defect-assisted precipitation mechanisms in TiNiPdCu-based high-temperature shape memory alloys.

Rida, B. N., Bakhsh, N. Investigating the high-temperature oxidation of the Hf₀.₅Nb₀.₅Ta₀.₅Ti₁.₅Zr refractory high-entropy alloy. Journal of Thermal Analysis and Calorimetry.

Arega Debu | HR Technology and Digital Transformation | Editorial Board Member

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Mr. Arega Debu | HR Technology and Digital Transformation | Editorial Board Member

Lecturer| The University of  Dire Dawa University | Ethiopia

Mr. Arega Debu an emerging researcher in the fields of thermal engineering, renewable energy systems, and mechanical design. His academic work primarily centers on developing sustainable solutions that address critical resource challenges, with a particular focus on accessible water purification technologies for underserved communities. His master’s research explored solar desalination as a practical and energy-efficient avenue to provide clean water in remote regions. By investigating system performance, thermal behavior, and energy optimization, his work contributes to the broader field of solar-driven water treatment technologies and aligns with global efforts toward sustainable development. His research background also includes mechanical system design, with particular interest in dynamic systems and mobility solutions. Earlier academic projects involving suspension systems demonstrate his strong analytical capabilities, design proficiency, and commitment to engineering innovation. These foundational studies reflect a wider interest in mechanical structures and the integration of engineering principles for improved performance, efficiency, and user-centered design. He possesses strong technical skills that support his research activities, including proficiency in major mechanical engineering software tools such as SolidWorks and ANSYS for simulation, modeling, and design analysis. In addition, his training in computer hardware systems and digital tools enhances his ability to integrate technology-driven approaches into engineering problem-solving. His growing competency in digital productivity tools and technical communication further complements his interdisciplinary research focus. Beyond technical competence, the author maintains an interest in emerging renewable technologies, heat transfer applications, and sustainable engineering solutions. His research vision centers on advancing affordable, practical, and community-oriented engineering innovations particularly those that enhance water security, promote renewable energy adoption, and support long-term socio-economic development. Through continued inquiry and collaboration, he aims to expand contributions to fields such as thermal systems engineering, solar technologies, and applied mechanical design.

Featured Publication

Debu, A. A., Adem, K. D., & Nigussie, S. G. Design and thermal performance investigation of solar-powered water purifying system for Dire Dawa rural area. Solar Energy Advances.

Yağmur Guler | Coaching & Mentoring | Best Researcher Award

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Assist. Prof. Dr. Yağmur Guler | Coaching & Mentoring | Best Researcher Award

Department of Physical Education and Sport Teaching | The University of  Ankara University | Turkey

Dr. Yağmur Güler is an academic researcher in the field of sport sciences, focusing on physical education, teacher development, and ethics in sports. Her research explores the professional identity of pre-service physical education teachers, the mentoring process in teacher education, and the role of ethical awareness and child protection in sports settings. She has contributed extensively to understanding how pedagogical practices and psychosocial factors shape the effectiveness and integrity of sports education. Her academic publications include articles in respected international journals such as Sport, Education and Society, Children, and Frontiers in Psychology. These works address issues including child abuse prevention in sports, creative and design thinking in physical education, and the development of 21st-century teaching competencies. She has also contributed to national and international conferences with studies on topics like mindfulness in athletes, ethical decision-making, and recreational awareness. Dr. Güler has authored and co-authored several scientific book chapters related to sports ethics, performance evaluation, and mentorship, enriching the academic dialogue in her discipline. Her recent research also engages in multidisciplinary projects supported by national scientific bodies, focusing on child safeguarding and alternative assessment approaches in sports. Her scholarly output reflects a strong commitment to advancing the scientific and ethical foundations of sports education. Through her contributions to research, publication, and collaborative academic projects, she continues to influence the evolution of professional standards, child protection practices, and innovative learning strategies within the global field of sport sciences.

Featured Publications

Güler, Y., & Tuncel, S. Professional identity of pre-service physical education and sports teachers and the role of mentor teachers. Sport, Education and Society. Advance online publication.

Güler, D., Güler, Y., Cengiz, C., Tuncel, S., & Karayiğit, R. Investigating child abuse in sports: An ecological systems perspective.

Aras, D., Onlu, A. S., Durmus, T., Cengiz, C., Guler, D., Guler, Y., Ugurlu, A., Aldhahi, M. I., & Gülü, M. A brief body scan mindfulness practice has no positive effect on the recovery of heart rate variability and cognitive tasks in female professional basketball players.

Cengiz, C., & Güler, Y. The effect of design thinking on the creative thinking of physical education and sports teachers. African Educational Research Journal.

Eren, H. B., Güler, Y., Güler, D., Çokluk-Bökeoğlu, Ö., & Tuncel, S. Çevrim içi beden eğitimi ve spor dersine yönelik öğrenci memnuniyet ölçeğinin geliştirilmesi  Avrasya Spor Bilimleri ve Eğitim Dergisi,