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.

Xiaochun Sun | Learning & Development | Research Excellence Award

Published on by Human Resources Management

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.

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.

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.

Bingfei Gu | Rewards & Recognition | Research Excellence Award

Published on by Human Resources Management

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

Published on by Human Resources Management

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.

Yifei Zhang | Learning & Development | Research Excellence Award

Published on by Human Resources Management

Dr. Yifei Zhang | Learning & Development | Research Excellence Award

Professor | The University of Hebei University | China

Dr. Yifei Zhang is a developing scholar whose research contributions span metallurgical physical chemistry, advanced materials processing, non-destructive testing, and intelligent material characterization. With a growing academic profile supported by 13 research documents, 235 citations, and an h-index of 7, the author has established a strong foundation in studying material behavior, performance evolution, and diagnostics using both experimental and data-driven approaches. Their work in alloy systems, particularly titanium alloys produced through selective laser melting and other additive manufacturing pathways, has yielded influential findings regarding microstructural evolution, oxide film dynamics, and electrochemical performance. These studies have improved the understanding of how processing conditions affect long-term material stability, reliability, and corrosion behavior an area of increasing importance for aerospace, biomedical, and high-performance engineering applications. The author’s contributions extend to investigating surface modification and coating technologies, including the impact of residual stress on the adhesion behavior of thin films such as TiN coatings. Their insights into interfacial mechanics and coating performance support the broader development of durable protective layers and engineered surfaces. In parallel, the author has advanced methodological innovation in the field of non-destructive evaluation. By integrating acoustic emission analysis, variational mode decomposition, continuous wavelet transforms, and convolutional neural networks, their work enhances the accuracy of damage mode identification in complex composite structures and stainless steels. These integrated diagnostic frameworks offer improved capabilities for monitoring structural health, predicting failure, and optimizing material maintenance strategies. Collectively, the author’s research demonstrates a commitment to bridging materials science, machine learning, and modern diagnostic technologies. Their publications contribute to both theoretical understanding and practical solutions for evaluating and enhancing material performance. With a steadily increasing citation profile and a diverse research portfolio, the author continues to influence key developments in materials characterization, surface engineering, and intelligent non-destructive testing.

Featured Publication

Zhang, Y., Yao, Y., Li, J., et al. Effect of residual stress on adhesion behaviour of TiN coating. Bulletin of Materials Science.

Chao-Feng Shih | Leadership Development | Best Researcher Award

Published on by Human Resources Management

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

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

Published on by Human Resources Management

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.