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

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Prof. Dr. Yu-Liang Zhang | Learning & Development | Research Excellence Award

Professor | The University of Quzhou University | China

Prof. Dr. Yu-Liang Zhang is an expert in fluid machinery, computational fluid dynamics and numerical simulation, with a focus on centrifugal pumps and turbines. His research encompasses theoretical modeling, experimental investigations, and numerical simulations to analyze pump performance, flow characteristics, startup processes, and efficiency under various operating conditions. Zhang has significantly contributed to understanding transient flow, volumetric and hydraulic efficiency, and spatio temporal flow dynamics in pumps and turbines. He has authored 138 documents, which have garnered over 1,014 citations, reflecting an h-index of 17. His publications include high-impact journal articles and academic monographs that explore both practical engineering applications and fundamental fluid mechanics principles. Zhang’s work provides valuable insights into optimizing pump and turbine design, improving energy efficiency, and enhancing the reliability of fluid machinery systems.

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Ander Ernaga Lorea | Leadership Development | Research Excellence Award

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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.

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Xuebing Wang | AI in HR | Research Excellence Award

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Dr. Xuebing Wang | AI in HR | Research Excellence Award

Dr | The University of Xi’an Jiaotong University | China

Dr. Xuebing Wang is a scholar in business administration with research expertise in human resource management, organizational behavior, and technology ethics. His research primarily examines the ethical and psychological implications of emerging technologies in organizations, including artificial intelligence in recruitment, virtual environments, and digital monitoring. He is particularly interested in understanding how technology reshapes employee cognition, creativity, organizational attraction, and social responsibility. His work adopts interdisciplinary perspectives and employs rigorous quantitative and mixed-methods approaches. Dr. Wang has published and presented research in leading international journals and conferences in the fields of management and human resources, including studies on AI interviews, virtual game engagement, and supervisory monitoring as double edged organizational phenomena. His scholarship contributes to advancing theory and practice at the intersection of technology, ethics, and sustainable organizational development.

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Featured Publication

Kick robots away with heart and head: how and when AI interviews undermine organizational attraction
– The International Journal of Human Resource Management, 2025 Zhe Zhang; Xuebing Wang

Rafael Lemos Paes | People-Centric Leadership | Research Excellence Award

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Assist. Prof. Dr. Rafael Lemos Paes | People-Centric Leadership | Research Excellence Award

Pesquisador | The University of  Estado-Maior da Aeronáutica | Brazil

Assist. Prof. Dr. Rafael Lemos Paes is a researcher recognized for his contributions to orbital Synthetic Aperture Radar , remote sensing, and computational intelligence applied to defense, maritime surveillance, and electromagnetic environment analysis. His work spans analytical, methodological, and applied perspectives, advancing techniques for ship and target detection, pattern recognition, polarimetric SAR interpretation, and image processing for military and environmental applications. His publication set includes 8 scientific documents, accumulating 296 citations and an h-index of 8, reflecting consistent impact in geoscience and remote sensing communities. Paes has authored studies on based ship detection, multi-sensor comparisons, band camouflage detection models, and machine-learning approaches for recognizing artificial targets in complex environments. His research also supports operational domains such as maritime patrol, search-and-rescue missions, image interpretation, and radar signature understanding. Paes actively collaborates with national and international research groups, contributing to advancements in SAR oceanography, defense remote sensing, and AI-enhanced image analysis. His work frequently appears in specialized symposia and technical workshops, strengthening scientific exchange within aerospace, defense, and geospatial fields.

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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.

Imran Imran | Rewards & Recognition | Research Excellence Award

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Prof. Imran Imran | Rewards & Recognition | Research Excellence Award

Prof | The University of South China Agricultural University | China

Dr. Imran is an accomplished agronomist and climate-smart agriculture researcher whose work spans crop production, soil health, environmental sustainability, UAV aerodynamics in agriculture, and climate change impacts on agro ecosystems. With two international postdoctoral fellowships one in UAV & rotorcraft microclimate engineering  South China Agricultural University, China  and another in soil health, carbon sequestration, and climate change mitigation  Çukurova University, Turkey he has emerged as a leading contributor to advanced agricultural technologies and regenerative farming systems. His multidisciplinary expertise integrates crop science, plant physiology, soil ecology, nano agriculture, biochar technology, heavy metal remediation, phosphorus biofortification, and carbon-based soil amendments. Dr. Imran has authored several internationally published books spanning agronomy, UAV applications in agriculture, climate-smart strategies, soil restoration, and sustainable food systems, including multiple titles with Springer and Taylor & Francis. With 59 peer reviewed research articles published across high impact international journals, his scientific contributions cover rotor wind microclimate engineering, nano fertilizers, organic inorganic nutrient synergy, heavy metal mitigation, carbon dynamics, and climate resilient cropping systems. His work is widely recognized, with numerous publications in the Journal of Plant Nutrition, Communications in Soil Science and Plant Analysis, International Journal of Phytoremediation, Agriculture, Agronomy, and Scientific Reports.

Profile: ORCID 

Featured Publications

Imran, & Li, J. Crop interaction with UAVs.

Imran, & Li, J. Drone airflow dynamics and crop interaction.

Imran, & Li, J. Enhanced agricultural productivity: UAV-based technology for precision crop yield estimation and disease detection.

Imran, & Li, J. Environmental and economic impact of UAV technology in agriculture.

Imran, & Li, J. Environmental impact and sustainability.

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.

Xiaochun Sun | Learning & Development | Research Excellence Award

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

Professor | The University of  Northwest Normal University | China

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

Profiles:  Scopus | ORCID 

Featured Publications

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

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

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

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

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

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.

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.