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)

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5

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h-index


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Featured Publication

Yifei Zhang | Learning & Development | Research Excellence Award

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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

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

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

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

Featured Publications

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

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

Ghasem Noorkhajavi | Leadership Development | Best Researcher Award

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Dr. Ghasem Noorkhajavi | Leadership Development | Best Researcher Award

Researcher | The University of  Tabriz Medical Sciences | Iran

Ghasem Noorkhajavi is an accomplished researcher whose scientific contributions span the interdisciplinary fields of nanomedicine, cancer immunotherapy, and biomedical nanotechnology. His research primarily focuses on developing and optimizing nanostructured systems for targeted drug delivery, immunogenic cell death induction, and exosome-mediated cancer therapy. With a growing academic influence reflected in 6 research documents, 93 citations, and an h-index of 6, his scholarly work demonstrates both depth and innovation in translational nanomedicine. His studies have explored the immunotherapeutic mechanisms of icilin and menthol-loaded nanoparticles, emphasizing their role in triggering  and enhancing antitumor immune responses. Through the design of icilin-based nanostructures and nanolipid carriers, he has contributed to understanding how nanoscale systems can modulate cancer cell signaling and immune activation. His research also extends to the synthesis of quantum dots and carbon nanomaterials with applications in bioimaging, drug delivery, and cancer detection. Beyond oncology, his investigations encompass postbiotics and their potential applications in detoxification, antimicrobial defense, and as adjuvants in viral therapy. Notable works include studies on aflatoxin biodetoxification, pesticide mitigation, and postbiotics for SARS-CoV-2 disease therapy, which highlight his multidisciplinary approach bridging nanotechnology, microbiology, and biomedical engineering. His publications in reputed journals such as Nanomedicine, Cancer Cell International, Journal of Biological Engineering, and Probiotics and Antimicrobial Proteins reflect both academic rigor and translational potential. Through his innovative focus on nanostructured systems and biological interactions, his research contributes significantly to advancing therapeutic nanotechnology, particularly in the context of precision oncology and regenerative medicine. Ghasem Noorkhajavi’s scholarly profile embodies a balance of scientific curiosity, technological innovation, and commitment to improving human health through the integration of nanoscience and biomedical research.

Featured Publications

Khani, N., Abedi Soleimani, R., Noorkhajavi, G., Abedi Soleimani, A., Abbasi, A. Postbiotics as potential promising tools for disease adjuvant therapy. Journal of Applied Microbiology.

Khani, N., Noorkhajavi, G., Soleiman, R. A., Raziabad, R. H., Rad, A. H.Aflatoxin biodetoxification strategies based on postbiotics. Probiotics and Antimicrobial Proteins.

Khani, N., Noorkhajavi, G., Reziabad, R. H., Rad, A. H., & Ziavand, M. Postbiotics as potential detoxification tools for mitigation of pesticides. Probiotics and Antimicrobial Proteins.

Esmaeili, A., Soleimani, M., Rouhani, M., Noorkhajavi, G., Aghaei-Zarch, S. M. Xenograft-based skin substitutes: A critical review. Journal of Drug Delivery Science and Technology.

Panahizadeh, R., Panahi, P., Asghariazar, V., Makaremi, S., Noorkhajavi, G. A literature review of recent advances in gastric cancer treatment: Exploring the cross-talk between targeted therapies. Cancer Cell International.

Maria Tavares | Accounting & Management | Best Researcher Award

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Assist. Prof. Dr. Maria Tavares | Accounting & Management | Best Researcher Award

ISCA-UA | The University of Aveiro | Portugal

Dr. Maria da Conceição da Costa Tavares is a distinguished researcher whose academic work centers on sustainability, accounting, and digital transformation within organizational and public sector contexts. Her research integrates social responsibility, governance, and emerging technologies, offering a multidisciplinary perspective on how ethical and digital innovation contribute to sustainable development. With a scholarly output of 21 indexed documents, 203 citations, and an h-index of 5, Dr. Tavares’s publications reflect both productivity and academic influence in the fields of sustainability reporting, financial transparency, and management sciences. Her studies are widely recognized for advancing the discourse on Environmental, Social, and Governance performance, intellectual capital, and the role of artificial intelligence in sustainable accounting practices. Her research portfolio includes articles in peer-reviewed journals such as Administrative Sciences, Sustainability, Journal of Risk and Financial Management, and International Journal of Financial Studies. She has also contributed to international conferences and edited volumes addressing themes such as Audit 5.0, Industry 5.0, and the digital transformation of higher education. Through collaborations with interdisciplinary teams, Dr. Tavares bridges theoretical insights and empirical evidence to enhance accountability and transparency in both private and public organizations. Her bibliometric impact demonstrates a commitment to addressing global challenges aligned with the Sustainable Development Goals, particularly those related to responsible production, innovation, and institutional integrity. By connecting sustainability frameworks with emerging digital paradigms, her research continues to inform policy, education, and management practices that prioritize ethical, technological, and societal progress.

Featured Publications

Azevedo, G., Oliveira, J., Almeida, T., Borges, M. F. R., Tavares, M. C., & Vale, J. Determinants of financial risks pre- and post in companies listed on Euronext Lisbon. Journal of Risk and Financial Management.

Azevedo, G., Oliveira, J., Sousa, I., Borges, M. F., Tavares, M. C., & Vale, J.  Disclosure of sustainability information under the Corporate Social Responsibility Directive: The degree of compliance of Portuguese stock index companies. International Journal of Financial Studies.