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.

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.

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

Salah-Eddine Chorfi | Rewards & Recognition | Young Researcher Award

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Assist. Prof. Dr. Salah-Eddine Chorfi | Rewards & Recognition | Young Researcher Award

Assistant Professor | The University of Cadi Ayyad University | Morocco

Dr. Salah-Eddine Chorfi is an applied mathematician whose research lies at the intersection of inverse problems, control theory, and the analysis of partial differential equations. His work focuses on developing rigorous mathematical frameworks to address fundamental questions related to identification, stability, and controllability in complex dynamical systems. A key aspect of his research involves studying equipped with dynamic boundary conditions, which arise in models describing diffusion, heat transfer, and wave propagation in heterogeneous media. Chorfi’s contributions span multiple interrelated themes. He investigates inverse source problems, coefficient determination, and initial data reconstruction using advanced tools such as Carleman estimates, semigroup theory, and logarithmic convexity methods. These approaches enable the establishment of uniqueness and quantitative stability results for parabolic, hyperbolic, and time-fractional evolution equations. His work also explores the control and stabilization of PDEs, including null controllability, impulsive control, and finite-time stabilization, offering new insights into systems governed by coupled or degenerate equations. Another significant direction in his research is the analysis of time-fractional diffusion models and mean field game systems, where he examines backward problems, non-symmetric operators, and degenerate dynamics. His investigations contribute to bridging theoretical PDE analysis with computational and applied challenges, particularly in contexts where data are incomplete or the underlying systems are ill-posed. Chorfi has authored 23 scientific documents, which collectively have received 67 citations, resulting in an h-index of 7. His work is published in highly regarded journals including Evolution Equations and Control Theory, Journal of Mathematical Analysis and Applications, Mathematical Methods in the Applied Sciences, Applicable Analysis, Inverse Problems, and others. Through his collaborations with researchers in analysis, control theory, and mathematical modeling, he contributes to advancing modern approaches to inverse problems and dynamical systems. His research continues to influence emerging methodologies for understanding complex driven phenomena in both theoretical and applied settings.

Featured Publications

Chorfi, S. E., Habbal, A., Jahid, M., Maniar, L., & Ratnani, A. Stability of backward inverse problems for degenerate mean field game systems.

Chorfi, S.-E., Ismailov, M. I., Maniar, L., & Oner, I. Boundary null controllability of the heat equation with Wentzell boundary condition and Dirichlet control.

Djimet Guemona | Archéologie | Best Researcher Award

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 Dr. Djimet Guemona | Archéologie | Best Researcher Award

Attaché de Recherche | The University of Centre National De Recherche Pour Le Developpement | Chad

Dr. Djimet Guemona is a dedicated archaeologist and researcher whose scholarly work focuses on the preservation, analysis, and digital reconstruction of African cultural heritage, particularly in Chad. His academic interests lie at the intersection of traditional archaeological research and emerging digital technologies such as 3D modeling, and artificial intelligence. By combining field-based methodologies with advanced digital tools, Guemona contributes to a more comprehensive understanding of Africa’s ancient metallurgical and artistic traditions, while also promoting innovative approaches to cultural heritage documentation and management. His recent collaborative work, Reconstructing Ancient Iron-Smelting Furnaces of Guéra Through 3D Modeling and AI-Assisted Video Generation, published in Electronics  exemplifies his commitment to interdisciplinary innovation. This research merges archaeological field data with computational modeling to recreate ancient iron-smelting processes, offering valuable insights into the technological sophistication of early African societies. Another key publication, Analyse techno-stylistique de la céramique du pays fanian , published in Afrique  Archéologie & Arts explores stylistic and technological aspects of ceramics, contributing to the understanding of regional cultural identities and material expressions. Guemona’s scholarly output, though emerging, reflects a growing influence in the field of African archaeology. His research has garnered academic recognition with 2 indexed publications, 5 citations, and an h-index of 1. His work stands out for its integration of heritage science, community-based archaeology, and digital preservation techniques, aligning traditional cultural studies with modern technological perspectives. By bridging archaeological theory, field practice, and digital innovation, Guemona is advancing the documentation and safeguarding of African heritage, while fostering global awareness of the continent’s archaeological richness. His research trajectory demonstrates strong potential for continued contributions to both academic scholarship and sustainable heritage management.

Featured Publication

Barreau, J. B., Guemona, D., & Robion-Brunner, C. Reconstructing ancient iron-smelting furnaces of Guéra  through 3D modeling and AI-assisted video generation. Electronics.

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.