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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Featured Publications

 

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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View Scopus Profile View ORCID Profile View Research Gate Profile

Featured Publications

 

 

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.

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.

Pascal Vrignat | Learning & Development | Best Academic Researcher Award

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Assist. Prof. Dr. Pascal Vrignat | Learning & Development | Best Academic Researcher Award

Assist. Prof. Dr.Pascal Vrignat | The University of Orleans University | France

Dr. Pascal Vrignat is a highly accomplished researcher whose scientific contributions lie at the intersection of operational safety, diagnostics, prognosis, and maintenance strategies for complex systems. His research focuses on the modeling and optimization of system reliability and performance using Markovian and stochastic processes, with particular attention to system obsolescence, shortages, and life-cycle management. He integrates survival laws and Hidden Markov Models  to develop advanced models for remaining useful life prediction and degradation analysis, addressing key challenges in industrial maintenance and decision support. With a strong publication record of 25 scholarly works, 242 citations, and an h-index of 6, Vrignat has established himself as a significant contributor in the fields of industrial systems engineering and intelligent maintenance. His research output includes high-impact journal articles, such as his recent paper, “Contribution to Estimating the Level of Bearing Degradation Using an HMM MultiBranch Approach” which demonstrates a refined methodology for mechanical fault diagnosis and predictive maintenance. His studies consistently bridge theoretical modeling with applied engineering, especially in areas involving industrial computer applications, systems, IoT integration, and digital communication networks. Vrignat’s work extends to the development of AI-driven tools for sustainability and automation, reflecting a broader commitment to advancing the Industry 4.0 and smart manufacturing paradigm. His publication, “The Effectiveness of AI: Feedback on the Experience to Counteract Food Waste” (Journal of Sustainability Research, exemplifies his interdisciplinary reach, applying artificial intelligence for societal benefit. Beyond technical innovation, his research promotes practical solutions that enhance reliability, optimize maintenance planning, and extend system longevity.

Featured Publications

Vrignat, P., Avila, M., Duculty, F., Bardet, C., Begot, S., & Marangé, P. Innovative pedagogies for Industry 4.0: Teaching RFID with serious games in a project-based learning environment. Education Sciences.

Vrignat, P., Kratz, F., Avila, M., Duculty, F., Begot, S., & Bardet, J. C. The effectiveness of AI: Feedback on the project to counteract food waste. Journal of Sustainability Research.

Abebe Kassaye | Industrial Engineering | Best Researcher Award

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Mr. Abebe Kassaye | Industrial Engineering | Best Researcher Award

PhD Candidate | The University of  Addis Ababa University | Ethiopia

Mr. Abebe Shimelis Kassaye demonstrates exceptional academic depth, analytical rigor, and an applied research orientation that make him a strong contender for this award. His strengths lie in integrating theoretical frameworks with practical industry applications, particularly in the domains of industrial engineering, production systems, and technology based entrepreneurship. His published research in reputable journals showcases innovative use of advanced modeling techniques such as Interpretive Structural Modeling and Partial Least Squares Structural Equation Modelling  providing empirical insights into the success factors of Ethiopian technology startups. Mr. Abebe’s ability to synthesize complex interdependencies between business models, operational efficiency, and innovation ecosystems underscores his capacity for multidisciplinary research. His strong command of quality management systems, sustainable industrial development, and lean manufacturing principles reflects a balance between academic excellence and practical impact. Furthermore, his active engagement in professional societies such as the Industrial Engineering and Operations Management Society International strengthens his global outlook and professional network, enhancing his potential to bridge academia and industry effectively. While his accomplishments are commendable, there remain areas of improvement that could further elevate his research influence and professional contribution. Expanding his scholarly output through increased publications in indexed international journals would enhance visibility and citation impact. Developing collaborations with interdisciplinary teams and global research institutions could enrich his research perspectives and foster innovative methodologies. Additionally, gaining experience in consultancy or applied industrial projects would allow him to translate academic findings into tangible outcomes, thereby extending his impact beyond the academic sphere. Strengthening statistical and simulation-based research tools and engaging in data driven policy advisory roles could also enhance the societal relevance of his work. Looking ahead, Mr. Abebe’s future research potential is both promising and strategically significant. His focus on industrial innovation, technology management, and sustainable manufacturing positions him to address emerging challenges in Africa’s industrialization agenda. His research could evolve toward building smart, adaptive production systems integrating artificial intelligence, circular economy principles, and digital transformation strategies.

Featured Publications

Shimelis, A., Beshah, B., & Tesfaye, E.  Measuring successful business models in Ethiopian technology business. African Journal of Science, Technology, Innovation and Development.

Shimelis, A., Beshah, B., & Tesfaye, E.  An investigation on the factors influencing the success of Ethiopian tech startup companies: The ISM approach. African Journal of Science, Technology, Innovation and Development.

Abdoul Karim Saidou | Conflict Resolution & Mediation | Best Researcher Award

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Dr. Abdoul Karim Saidou | Conflict Resolution & Mediation | Best Researcher Award

Political science | The University of  Thomas Sankara | Burkina Faso

Dr. Saidou Abdoul Karim is a distinguished political scientist whose research advances critical understanding of governance, democracy, and security in West Africa. His scholarly contributions explore the complex interactions between political regimes, public policy, and state-building in contexts marked by transition, insecurity, and reform. His research is characterized by a comparative and interdisciplinary approach, bridging political science, sociology of public action, and international relations to examine how African states govern through crises and transformation. Central to his work is the analysis of public policy dynamics, particularly in the areas of security and political reform. He investigates how political regimes shape policy agendas, how institutional instruments influence decision making, and how democratic processes are affected by conflict and instability. His studies frequently focus on Burkina Faso, Niger, and the broader Sahel, addressing the tensions between democracy, governance, and security. His research also engages with the regional dimension of African politics, especially through the role of  in promoting democratic norms and managing security challenges. His numerous peer reviewed publications in leading international journals, such as Democratization, Journal of Modern African Studies, Africa Spectrum, and Afrique Contemporaine, reflect a deep engagement with questions of legitimacy, participation, and power. His writings on the securitization of migration, youth involvement in security policies, gender quotas, and the instrumentalization of democracy contribute to a richer understanding of political change in African societies. His book chapters and collaborative works extend his analysis to regional peace and security mechanisms, the political dimensions of diaspora participation, and the governance of armed conflicts. By combining theoretical innovation with empirical depth, his research provides essential insights into how African states and societies negotiate democracy and security. His work stands as a key contribution to contemporary debates on governance, policy reform, and the political future of the Sahel and West Africa.

Featured Publications

Saidou, A. K., & Bagayoko, S. From euphoria to disenchantment: Temporality and the changing local perceptions of international interventions in Mali. Journal of Intervention and Statebuilding.

Naré, R. H., & Saidou, A. K. Understanding public policy through the lens of political regimes: The case of episodic change in agriculture policy in Burkina Faso  Africa Spectrum.

Saidou, A. K., & Honig, L.  Legitimising regimes and legalising self-defence groups: The case of Burkina Faso’s VDPs. The Journal of Modern African Studies

Saidou, A. K.  L’Afrique face au dilemme des deux analyse constructiviste de la politique étrangère à partir des cas du Niger et du Burkina Faso. Canadian Journal of Political Science.

Saidou, A. K., & Bertrand, E. Security as a campaign issue: Programmatic mobilization in Burkina Faso’s elections.