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.

Citation Metrics (Scopus)

100

60

20

0

Citations
25

Documents
5

h-index
2

                              Citations
Documents
h-index


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Featured Publication

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.

Citation Metrics (Scopus)

500

400

300

200

50

0

Citations
499

Documents
75

h-index
13

                             Citations
           Documents
h-index


View Scopus Profile

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.

Fereshteh Abbasi | Learning & Development | Research Excellence Award

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Dr. Fereshteh Abbasi | Learning & Development | Research Excellence Award

Researcher | The University of Tehran | Iran

Dr. Fereshteh Abbasi is a horticultural science researcher whose work centers on optimizing greenhouse production systems, improving floricultural crop performance, and advancing controlled environment agriculture. Her research spans the physiology of ornamental plants, plant nutrition, and responses of cut flower species particularly Lilium hybrids to environmental and nutritional variables. With a growing scholarly footprint that includes 3 research publications, 15 citations, and an h-index of 2, her contributions reflect a focused and emerging expertise in floriculture physiology and soilless cultivation technologies. Her studies investigate critical factors such as nutrient solution composition, calcium ammonium ratios, and the efficiency of aeroponic and ultrasonic soilless systems to enhance growth, yield, and postharvest quality. Dr. Abbasi’s work on biochemical and morphological responses of Lilium cultivars to growth regulators such as salicylic acid and benzyl adenine adds significant insight into improving vase life and stress tolerance in ornamentals. Additionally, she has explored the effects of macro- and nano-nutrient applications on physiological traits, contributing to sustainable and high-efficiency greenhouse management practices. Overall, her research advances knowledge in modern horticulture by integrating plant physiology, applied biotechnology, and innovative cultivation systems to support the development of resilient and high-quality floricultural products.

Profiles: Scopus | Google Scholar 

Featured Publication

Abbasi, F., Khandan-Mirkohi, A., Haji Ahmad, A., Kafi, M., & Shokrpour, M. Optimization of aeroponic and ultrasonic soilless culture systems in terms of timing and growth characteristics of Lilium OT hybrid

Magdalena Sobieska | Rewards & Recognition | Research Excellence Award

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Prof. Magdalena Sobieska | Rewards & Recognition | Research Excellence Award

Dept. of Rehabilitation and Physiotherapy | The University of  Poznań University of Medical Sciences | Poland

Prof. Magdalena Sobieska is a distinguished researcher whose scholarly contributions sit at the intersection of immunology, physiotherapy, and rehabilitation medicine. Her work is characterized by a sustained commitment to understanding the biological mechanisms underpinning inflammatory responses, acute phase reactions, and immune activation in both clinical and physiotherapeutic contexts. With 117 scientific documents, 1,868 citations, and an h-index of 20, she has established herself as an influential figure in multidisciplinary biomedical research. A major thematic focus of her research involves the clinical applicability of acute phase proteins, cytokines, and biochemical markers in diverse medical conditions. She has extensively investigated their diagnostic and prognostic value in rheumatic diseases, traumatic injuries, inflammatory disorders, and immune related pathologies. Her studies have contributed valuable insights into how inflammatory biomarkers respond to physical activity, stress, physiotherapy interventions, and complex disease states. Prof. Sobieska has also made important scientific advances in the fields of exercise immunology, rehabilitation sciences, and rheumatologic diagnostics, demonstrating how laboratory-based biomarker profiling can be integrated into personalized therapeutic strategies. Her early contributions to understanding immunological disturbances in mental health disorders and metabolic diseases have provided additional depth to her multidisciplinary approach. Her international collaborations broadened her expertise in eosinophil activation, cytokine regulation, and immune pathways that influence chronic inflammatory conditions.

Profiles:  Scopus | ORCID

Featured Publications

Pawlak-Andryszczyk, Ż., Andryszczyk, M., & Sobieska, M. Movements induced by optic flow in relation to HINE.

Bieniaszewska, A., Sobieska, M., & Gajewska, E. ,Functional and structural analysis of SITTER patients with spinal muscular atrophy.

Gajewska, E., Surowińska, J., Chałupka, A., Moczko, J., Michalak, M., & Sobieska, The qualitative motor assessment at three months allows a better prognosis than the traction test.

Christina Tassi | Mental Health Programs | Research Excellence Award

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Dr. Christina Tassi | Mental Health Programs | Research Excellence Award

Postdoctoral Researcher | The University of  Ioannina | Greece

Dr. Christina Tassi is a scholar in counseling psychology whose work bridges group counseling theory, person centered facilitative conditions, and positive psychology interventions. Her research emphasizes the psychosocial development and emotional well-being of children and adolescents, with a particular focus on those facing psychological economic hardship. Through her publications and collaborative research, she has contributed valuable insights into how group processes, therapeutic factors, and supportive interpersonal climates can enhance participants’ resilience, adjustment, and overall mental health. Across 7 peer reviewed publications, Dr. Tassi’s research demonstrates methodological rigor and applied relevance, yielding a measurable scholarly impact reflected in 68 citations and an h-index of 4. Her studies explore a range of topics, including process outcome relationships in positive psychological interventions, person centered attitudes among facilitators, and the mechanisms through which group programs foster emotional growth in school-age populations. She has also examined the effectiveness of online positive psychology interventions implemented during the  pandemic, contributing early evidence on the feasibility and therapeutic value of digital group-based mental health support. Dr. Tassi has co authored a book on positive psychology and contributed chapters focusing on poverty’s psychological effects on children, strengths-based counseling, and psychoeducational interventions for youth with diverse needs. Her interdisciplinary collaborations reflect a commitment to advancing evidence-based practices in educational and therapeutic contexts.

Profile:  Scopus 

Featured Publication

Tassi, C., & Brouzos, A. Therapeutic factors in a group positive psychological intervention  for primary school students facing parental psychological economic hardship. International Journal of Applied Positive Psychology.

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.

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.

Tolasa Tamasgen | HR Technology and Digital Transformation | Editorial Board Member

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Assist. Prof. Dr. Tolasa Tamasgen | HR Technology and Digital Transformation | Editorial Board Member 

Course Instructor and Researcher | The University of Bonga University | Ethiopia

Dr. Tolasa Tamasgen Hirpha, is a dedicated scholar in Condensed Matter optical properties, nanostructures, and computational physics. His academic pathway includes a in Condensed Matter Physics, complemented by strong interdisciplinary grounding through master’s degrees in Physics and Project Management. His research interests bridge fundamental physics and applied materials science, with a particular emphasis on nanocomposites, thin films, electronic structure calculations, and field-enhancement phenomena. His scholarly work demonstrates strong competence in both theoretical modeling and materials characterization. Publications authored or co-authored address critical topics such as the optical and structural behavior of PbS thin films, local field enhancement mechanisms in spheroidal core-shell nanocomposites, nonlinear optical responses, and the impact of interfacial layers on enhancement factors in metal–dielectric systems. He has also contributed to computational investigations of bulk and monolayer using Density Functional Theory, reflecting his ability to apply modern simulation tools to explore electronic and optical properties. Additional interdisciplinary research includes fault-tolerant control systems for electrical machines, highlighting versatility beyond physics-focused domains. Proficient he integrates computational analysis with high-quality scientific documentation. His research strengths include data interpretation, modeling, simulation, and the dissemination of findings through peer-reviewed publications and scientific presentations. His academic foundation and research record demonstrate a continuous commitment to advancing materials science, physics-based modeling, and interdisciplinary scientific inquiry. He remains strongly interested in further integrating project management principles into scientific research methodologies to enhance applied outcomes and broaden the real-world impact of theoretical concepts.

Featured Publications

Hirpha, T. T., Gurmesa, G. S., Ali, B. M., & Aga, G. S. Investigation of the electronic and optical properties of bulk and monolayer AlxGa(1−x)N structure using density functional theory.

Chehhat, A., Chouchane, N., Si-Ameur, M., Rebai, B., Larguech, S., Hirpha, T. T., & Menni, Y. Investigation of compressible internal flow mechanisms and thermofluid interactions in centrifugal compressors through advanced hub-to-shroud computational fluid dynamics for diesel engine turbocharger performance.

Bellali, B., Makhloufi, S., Belbekri, T., Alkhafaji, M. A., Hirpha, T. T., Bousserhane, I. K., & Menni, Y. Active fault-tolerant control for asynchronous machines using EKF-based fault estimation and 3-H-bridge inverter mitigation of ITSCs.

Hirpha, T. T., Bergaga, G. D., Ali, B. M., & Gebre, S. S. Investigation of optical bistability in spheroidal core–shell nanocomposites with passive and active dielectric cores.

Hirpha, T. T., Bergaga, G. D., Ali, B. M., & Gebre, S. S.  Local field enhancement factor of spheroidal core–shell nanocomposites with passive and active dielectric cores.