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.

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.

Zewen Zhuo | Rewards & Recognition | Excellence in Research Award

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Mr. Zewen Zhuo | Rewards & Recognition | Excellence in Research Award

Engineer | The University of  Shandong Gangyuan Pipeline Logistics Co., Ltd | China

Mr. Zewen Zhuo is a researcher specializing in the rheology, microstructural behavior, and flow assurance mechanisms of waxy crude oil systems. His scholarly work focuses on understanding how wax crystallization, gel formation, and structural failure processes influence the stability and transport efficiency of crude oil in pipeline environments. Through the integration of rheology, in situ microscopy, and advanced experimental observation methods, his contributions address key scientific challenges associated with long distance crude oil transportation. With 3 published research documents, 48 citations, and a current h-index of 2, his work demonstrates measurable academic influence within the petroleum engineering and flow assurance communities. His studies provide detailed insights into the nonlinear and dynamic behavior of waxy crude oil under thermal and mechanical disturbances, offering data and models that support improved operational reliability in the oil and gas industry. One of his major contributions includes the investigation of the structural failure process of gelled waxy crude oil emulsions, using synchronous rheological and microscopic techniques to reveal how gel networks deform and break under external stress. Another publication examines shear thinning behavior and microstructural evolution in waxy crude oil, providing a clearer understanding of how shear fields disrupt wax crystal aggregates and modify flow characteristics. His additional work explores the destruction mechanisms of gel structures in emulsion systems, contributing to more accurate predictions of restart performance, wax deposition risk, and flow resistance. Across these studies, Mr. Zhuo’s research advances fundamental knowledge of wax oil interactions, microstructural dynamics, and rheological response under complex operating conditions. His contributions support the development of more efficient, safer, and scientifically grounded strategies for crude oil storage, transportation, and flow assurance technology.

Featured Publication

Zhao, J., Zhuo, Z., Dong, H., & Wang, Z. Structural failure process of gelled waxy crude oil emulsion based on rheological-in-situ microscopic synchronous measurement.

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.

Chao-Feng Shih | Leadership Development | Best Researcher Award

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Assist. Prof. Dr. Chao-Feng Shih | Leadership Development | Best Researcher Award

Assist. Prof | The University of  Central Police University | Taiwan

Dr. Chao-Feng Shih is a scholar and engineer specializing in marine engineering, maritime safety, smart port technologies, and computational mechanics. His academic background and research trajectory focus on advancing hydrodynamics, nonlinear sloshing analysis, marine risk assessment, and intelligent port-based monitoring systems. He has developed strong expertise in integrating engineering theory with modern computational tools to address complex maritime challenges and enhance operational safety in port and offshore environments. His doctoral research applied a modified Lie-Group algorithm to nonlinear sloshing problems, contributing new numerical strategies for analyzing fluid structure interactions in confined and dynamic marine systems. Dr. Shih’s broader research in nonlinear hydrodynamics includes studies on sloshing suppression using baffle designs, meshless methods for heat transfer simulation, and explicit/implicit Lie-Group numerical schemes. His work has been published in reputable indexed journals, addressing topics such as underwater vehicle acoustics, two-dimensional tank sloshing behavior, and Trefftz-based multi-scale methods. Beyond theoretical contributions, Dr. Shih’s research intersects with applied maritime safety and smart harbor development. He has played key roles in projects involving 5G-enabled port monitoring, based inspection systems, and driven maritime applications. His recent works explore remote sensing for port operations, edge-computing frameworks for drone communications, and AI-enhanced solutions for underwater environmental monitoring. These efforts highlight his commitment to integrating emerging technologies with marine engineering to support safer, more efficient, and data-driven maritime operations. His academic publications also include studies on fire prevention in cargo vessels, unmanned underwater vehicle applications, and marine safety risk assessment. Future research directions involve developing AI assisted maritime training systems, simulation-based digital twin platforms, autonomous navigation technologies, and advanced predictive models for port-level risk management. Through this multidisciplinary research portfolio, Dr. Shih continues to contribute to innovation across marine engineering, intelligent maritime systems, and computational analysis.

Featured Publications

Tan, C.-C., Shih, C.-F., Shen, J.-H., & Chen, Y.-W.  A time–space numerical procedure for solving the sideways heat conduction problem.

Chen, Y.-W., Pan, C.-C., Lin, Y.-H., Shih, C.-F., Shen, J.-H., & Chang, C.-M. Acoustic field radiation prediction and verification of underwater vehicles under a free surface. Journal of Marine Science and Engineering

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.

Beáta Šofranková | HR Technology and Digital Transformation | Best Researcher Award

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Mrs. Beáta Šofranková | HR Technology and Digital Transformation | Best Researcher Award

Associate Professor | The University of Presov| Slovakia

Mrs. Beáta Šofranková, is a researcher in the field of management whose scholarly work centers on digital transformation, competitiveness, economic performance, and sustainable development across European countries. Her research integrates economic-mathematical reasoning with modern managerial perspectives, providing a multidimensional understanding of how digitalization and innovation impact institutional performance and long-term economic resilience. Her scientific portfolio consists of 16 published research documents, collectively cited 235 times, resulting in an h-index of 8. These metrics reflect a steady scholarly influence and demonstrate the relevance of her work within the fields of management, economics, and regional development. Her publications frequently address the evolving conditions of European economies, exploring strategic determinants of competitiveness, the role of digital technologies in economic growth, and the implications of sustainable development frameworks on national and regional performance indicators. She has contributed significantly to research initiatives through her involvement in major national grant projects, where she has designed, coordinated, or supported scientific tasks focused on digital readiness, innovation performance, and socio-economic transformation. Her participation in  projects reflects sustained engagement in evidence-based research aligned with national priorities and international academic standards. These projects have produced theoretical and empirical outputs that inform management practices, public policy, and academic debate. Her work also incorporates a strong comparative perspective, drawing on interdisciplinary frameworks that connect economic modelling, management theory, and sustainability science. She frequently collaborates within research teams exploring emerging digital trends, performance analytics, and the competitiveness challenges faced by European economies in the context of global transformations. Through her publication record, research leadership, and active contribution to national scientific projects, her scholarly profile demonstrates a consistent commitment to advancing knowledge about digital transformation and sustainable economic development. Her research output continues to support academic, institutional, and policy-oriented discussions within the broader European research community.

Featured Publication

Kiselakova, D., Sofrankova, B., Gombar, M., & Matijova, M. Modelling the impact of innovation performance on digital competitiveness: The key role of innovation and technologies. Asian Economic and Financial Review,

Enyew Zereffa | Employee Engagement | Editorial Board Member | 2306

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Assoc. Prof. Dr. Enyew Zereffa | Employee Engagement | Editorial Board Member

Professor of Inorganic Chemistry | The University of Adama Science and Technology University | Ethiopia

Dr. Enyew Amare Zereffa is an accomplished chemist whose scholarly work spans inorganic chemistry, analytical chemistry, materials science, and nanotechnology. With a strong academic foundation built through advanced degrees in chemistry, he has developed a research career distinguished by innovation, scientific rigor, and impactful contributions to applied chemical sciences. His publication record reflects sustained excellence, comprising 53 peer-reviewed documents, accumulating 1,345 citations, and resulting in an h-index of 18, underscoring the visibility and influence of his work within the scientific community. Central to Dr. Zereffa’s research portfolio is the design, synthesis, and characterization of inorganic materials, particularly nanomaterials and ceramic systems with applications in energy storage, catalysis, water purification, environmental remediation, and biomedical fields. His investigations into ceramic microfilters, nanocomposite structures, and modified metal oxides have contributed to advancements in sustainable technologies and low-cost materials development. These contributions support critical societal needs such as improved water quality, enhanced materials performance, and environmentally conscious industrial processes. His scientific interests bridge fundamental chemistry and applied engineering, emphasizing materials synthesis techniques, solid-state chemistry, surface chemistry, and advanced characterization methods. Dr. Zereffa’s work also demonstrates a strong commitment to problem-solving within local and global contexts, including projects on zinc oxide-based sunscreens, antibacterial nanocomposites, and energy-generating dye-sensitized solar cells. Through collaborations and funded research initiatives, he has driven forward interdisciplinary studies that connect chemistry, materials science, environmental engineering, and nanoscience. As an active contributor to scholarly dissemination, he engages in manuscript reviewing, editorial duties, and academic evaluation, ensuring quality and integrity in scientific publishing. His sustained output, impactful citations, and engagement with emerging research themes position him as a leading figure in contemporary inorganic and materials chemistry research.

Featured Publications

Derbe, T., Gindose, T. G., Sani, T., & Zereffa, E. A. Synthesis of zeolite-A/Fe₃O₄/biochar/MOF-5 composite for the defluoridation of drinking water.

Derbe, T., Sani, T., & Zereffa, E. A. Synthesis of a zeolite-A/MOF-5 composite for the defluoridation of groundwater.

Zereffa, E. A., Segne, T. A., Ananda Murthy, H. C., Gupta, N. K., Orshiso, Aqueous extract phyto-mediated synthesis of ZnO nanoparticles and ZnO-bentonite nanocomposites: Physical analysis and investigation of antibacterial activity.

Gindose, T. G., Gebreslassie, G., Derbe, T., Ashebr, T. G., Daba, Y. T., Mtunzi, T. B. Charge separation enhancement of triple-phase Ag₃PO₄–AgI–ZnO heterojunction for dye photodegradation.