Yu-Liang Zhang | Learning & Development | Research Excellence Award

Published on by Human Resources Management

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.

                            Citation Metrics ( Scopus )

1200

1000

800

600

400

200

0

 

Citations
1014
Documents
138
h-index
17

Citations

Documents

h-index

View Scopus Profile View ORCID Profile View Web of Science Profile View Research Gate Profile

Featured Publications

 

Ander Ernaga Lorea | Leadership Development | Research Excellence Award

Published on by Human Resources Management

Mr. Ander Ernaga Lorea | Leadership Development | Research Excellence Award

Doctor | The University of  Hospital Universitario de Navarra | Spain

Mr. Ander Ernaga Lorea is an accomplished researcher in the field of endocrinology and metabolic disorders, with a focus on thyroid diseases, acromegaly, hypercholesterolemia, and cerebrovascular complications. He has contributed as first author to nine peer-reviewed publications in high-impact indexed journals, addressing topics such as prognostic markers in thyroid carcinoma, glycemic alterations in acute stroke, chronic diarrhea as an early symptom of medullary thyroid carcinoma, and subclinical atherosclerosis in familial hypercholesterolemia. His work has been cited 65 times, reflecting the relevance and impact of his research 9 documents within the scientific community. He has also led the project, a strategic initiative applying genomic medicine to hypercholesterolemia. With an h-index of 5, his research demonstrates a commitment to advancing understanding of endocrine and metabolic pathologies through both clinical observation and translational studies.

                            Citation Metrics ( Scopus )

90

75

60

45

30

15

0

 

Citations
65
Documents
9
h-index
5

Citations

Documents

h-index

View Scopus Profile View ORCID Profile View Research Gate Profile

Featured Publications

 

 

Mizanur Rahman | HR Technology and Digital Transformation | Research Excellence Award

Published on by Human Resources Management

Dr. Mizanur Rahman | HR Technology and Digital Transformation | Research Excellence Award

Lecturer | The University of  Regent College London | United Kingdom

Dr. Md. Mizanur Rahman’s research focuses on advanced computing, data visualization, distributed systems, and data-driven analytics. His work investigates high performance rendering techniques, scanline-based algorithms, and the visualization of large-scale data sets, contributing to efficient computation and graphical modeling in complex computing environments. Across 11 publications, including international conferences and journals such as, Springer. Dr. Rahman has explored areas spanning geometric modeling, distributed computing architectures, and algorithm optimization for visualization tasks. His studies on cache oblivious algorithms, Java-based systems for large-scale rendering, and data-driven business analytics demonstrate a blend of theoretical rigor and practical application. With four citations and an h-index of 1, his contributions provide foundational insights into computational efficiency, algorithm design, and the integration of data science methods into real-world applications. Dr. Rahman’s work supports advancements in both academic research and applied computing technologies.

Citation Metrics (Google Scholar)

20

16

12

8

4

0

Citations
4

Documents
11

h-index
1

 

View Google Scholar Profile
 View ORCID Profile

Featured Publications


High-performance rendering on clusters of workstations – S Dalal, F Dévai, MM Rahman

– Geometric Modeling and Imaging–New Trends (GMAI’06), 22-27, 2006


Experimental Evaluation of Graphics Algorithms – B Chalk, S Dalal, F Dévai, MM Rahman

– 2008 3rd International Conference on Geometric Modeling and Imaging, 59-65, 2008


The PCC Model in Online Teaching: A Framework for Effective Practice – MM Rahman

– The 2nd International Conference on Education Research – ICER 2025, 2025


Data-driven business strategies with the power of the K-means algorithm – MM Rahman

– International Journal of Higher Education Management 11 (2), 1-10, 2025

 

Guoqiang Feng | Employee Engagement | Research Excellence Award

Published on by Human Resources Management

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


View Scopus Profile

Featured Publication

Kazem Badv | Learning & Development | Research Excellence Award

Published on by Human Resources Management

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.

Citation Metrics (Scopus)

200

160

120

80

40

0

Citations
173

Documents
23

h-index
8

                           Citations
          Documents
h-index


View Scopus Profile

Featured Publications

Eleni Andreou | Psychology | Research Excellence Award

Published on by Human Resources Management

Prof. Eleni Andreou | Psychology | Research Excellence Award

Professor | The University of Thessaly | Greece

Prof. Eleni Andreou is a leading scholar in educational psychology whose research has significantly shaped contemporary understanding of bullying, peer aggression, school climate, and student psychosocial adjustment. Her work integrates developmental, cognitive, and socio-emotional perspectives to examine how interpersonal relationships, coping responses, and contextual factors influence children’s and adolescents’ behavior within educational settings. With 48 scholarly documents, over 1,300 citations, and an h-index of 19, her research is recognized internationally for both theoretical contribution and applied impact. A major focus of her scholarship examines bully victim dynamics, emphasizing the role of self-efficacy, coping strategies, social cognition, and resilience in children’s responses to aggression. Through longitudinal and intervention-based studies, she has demonstrated how intentional programming, bibliotherapy, and prevention frameworks can positively influence student attitudes, reduce victimization, and enhance school belonging. Her also explore early childhood bullying, using naturalistic observation and multimethod assessment to uncover how aggression emerges and interacts with contextual variables in preschool environments.Microaggressions, inclusion challenges, and academic adjustment. These works offer evidence based insights for fostering equitable learning environments and strengthening support systems within schools and universities. Across her collaborative international projects, she contributes to large scale cross cultural examinations of peer aggression, socio emotional competencies, and student well being.

Profiles:  Scopus | ORCID | Google Scholar

Featured Publications

Vlachou, A., Stavroussi, P., Andreou, E., & Toulia, A. The development of the “Checklist for Life Skills Educational Assessment” (CLSEA). Education Sciences.

Touloupis, T., Andreou, E., & Chasapis, D.  Relations among perceived school context-related factors, cyberbullying, and school adjustment: An examination between native and immigrant students in elementary and secondary education.

Didaskalou, E., Cefai, C., Brighi, A., Bravo-Sanzana, M., Bochaver, A., Bauman, S., & Andreou, E.  A global study of the wellbeing of adolescent students during the COVID-19 2020 lockdown.

Magdalena Sobieska | Rewards & Recognition | Research Excellence Award

Published on by Human Resources Management

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.

Asterios Patsiaouras | Coaching & Mentoring | Research Excellence Award

Published on by Human Resources Management

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

Published on by Human Resources Management

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.

Sarina Hui-Lin Chien | Learning & Development | Research Excellence Award

Published on by Human Resources Management

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.