Junfeng Zhao | Learning & Development | Research Excellence Award

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Prof. Junfeng Zhao | Learning & Development | Research Excellence Award

Professor | The University of Henan University | China

Prof. Junfeng Zhao is an influential researcher in psychology whose scholarship integrates educational, developmental, health, and social psychology to address learning, adaptation, and mental health among children and adolescents. Across 98 publications, with 1,349 citations and an h-index of 26, his body of work combines rigorous empirical methods, longitudinal designs, and interdisciplinary approaches to investigate resilience, peer attachment, self-esteem, and school adaptation. He emphasizes applied outcomes measurement development, intervention design, and translation to educational practice while advancing theoretical understanding of developmental processes. A major strand of his research focuses on children affected by social disadvantages such as left-behind children, and those with sensory impairments examining risk and protective factors that shape psychological outcomes. Through multi-year tracking studies and psychometric scale evaluation, he has produced validated instruments and intervention-informed findings that clarify how family dynamics, peer relationships, and school contexts contribute to mental health trajectories. This work informs community based strategies and educational policies aimed at improving psychosocial supports for vulnerable groups. In educational psychology, his studies illuminate learning motivation, cognitive styles, learning strategies, and classroom processes, offering practical implications for curriculum design and teacher training. His research addresses early identification models for learning difficulties, the neural correlates of cognitive control and the psychological underpinnings of teacher professional identity and its influence on student well being. The portfolio demonstrates a productive mix of quantitative, qualitative, and neurophysiological methods. Methodologically, Zhao emphasizes mixed methods, longitudinal analyses, culturally sensitive measurement, and robust psychometrics strengthening the reliability and applicability of findings across contexts. His publications consistently bridge theory and practice, targeting educators, clinicians, and policymakers. The cumulative impact of his research lies in deepening understanding of how developmental mechanisms interact with social environments and in providing evidence-based frameworks for interventions that promote resilience and healthy development in children and adolescents. Overall, his work offers actionable frameworks for policy and practice.

Featured Publications

Huang, G., Qian, C., Newman-Norlund, R. D., Zhao, J., & Li, X.  Perceived stigma mediates the relationship between regional gray matter volume and aggressive behavior in children affected by parental.

Ji, L., Yu, Y., Wan, J., Zhang, Y., Zhao, J., & Chen, C. Relationship between cumulative peer risk and sense of security among adolescents: A moderated mediation model. BMC Psychology.

Wan, J., Ji, L., Wang, Z., Zhao, J., & Li, X.  Social exclusion and mental health of youths affected by parental HIV/AIDS in China: Based on a serial mediating model.

Chen, C., Wu, Q., Zhao, J., Zhao, G., Li, X., Du, H., & Chi, P. Enacted stigma influences bereavement coping among children orphaned by parental. A longitudinal study with network analysis.

Wu, J., Li, Q., Chi, P., Zhao, J., & Zhao, J. Mindfulness and well-being among socioeconomically disadvantaged college students: Roles of resilience and perceived discrimination.

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.

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.

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

Zemenu Tadesse Adimas | HR Technology and Digital Transformation | Editorial Board Member

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Mr. Zemenu Tadesse Adimas | HR Technology and Digital Transformation | Editorial Board Member

Lecturer And Researcher | The University of  Bahir Dar University | Ethiopia

Mr. Zemenu Tadesse Adimas is an emerging researcher in the fields of Food Engineering and Biotechnology, with a strong scholarly focus on food product development, formulation, and natural preservation strategies. His academic background in Food Technology and Food Process Engineering has provided a solid foundation for exploring innovative, sustainable, and science-driven approaches to enhancing food quality and safety. He is particularly interested in the utilization of natural preservatives, improvement of indigenous foods, and optimization of storage technologies to reduce post-harvest losses. His research contributions span various critical topics in food science, including shelf-life extension, food processing, bioactive compounds, and the integration of traditional and modern preservation methods. His published works demonstrate both depth and breadth, covering microbial stability, physicochemical property optimization, sensory quality enhancement, hermetic storage systems, and the use of plant-based bioactive compounds for grain protection. These publications appear in reputable international journals such as Cogent Food & Agriculture, Applied Food Research, Heliyon, and the Poly Journal of Engineering and Technology. A notable portion of his work examines the effects of processing conditions such as temperature, time, and formulation ratios on the quality attributes of food and beverage products. His studies on cinnamon extract for juice preservation, roasting parameters for plant beverages, and flour blending for biscuit production showcase his commitment to developing practical, scalable solutions for industry and community-level food systems. His scientific interests also extend to post-harvest technology, where he has investigated hermetic storage methods to minimize losses in staple crops such as maize and wheat. Through systematic experimental design, analytical evaluation, and interdisciplinary collaboration, he contributes to improving food security and promoting value-added food innovations. Across his research portfolio, Zemenu emphasizes evidence-based problem solving, sustainability, and the enhancement of traditional knowledge through modern food science techniques.

Featured Publications

Abera, B. D., Adimas, Z. T., Adimas, M. A., Alemayehu, A. J., & Geletu, M. G. Effect of blending ratios of roasted and unroasted lupine flour on the physicochemical properties, antinutritional factors, and organoleptic qualities of wheat–lupine composite bread. Applied Food Research.

Alemayehu, A. J., Adimas, Z. T., & Abera, B. D. The effect of sugar concentration and storage time on the physicochemical, microbial, and sensory properties of ginger drink. Applied Food Research.

Adimas, Z. T., & Abera, B. D. Effect of roasting time and temperature on the physicochemical and sensory properties of plant beverage from groundnut. Applied Food Research.

Adimas, Z. T., Adimas, M. A., & Abera, B. D.  Plant-based bioactive compounds for grain storage: A comprehensive review. Cogent Food & Agriculture.

Tolasa Tamasgen | HR Technology and Digital Transformation | Editorial Board Member

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Assist. Prof. Dr. Tolasa Tamasgen | HR Technology and Digital Transformation | Editorial Board Member 

Course Instructor and Researcher | The University of Bonga University | Ethiopia

Dr. Tolasa Tamasgen Hirpha, is a dedicated scholar in Condensed Matter optical properties, nanostructures, and computational physics. His academic pathway includes a in Condensed Matter Physics, complemented by strong interdisciplinary grounding through master’s degrees in Physics and Project Management. His research interests bridge fundamental physics and applied materials science, with a particular emphasis on nanocomposites, thin films, electronic structure calculations, and field-enhancement phenomena. His scholarly work demonstrates strong competence in both theoretical modeling and materials characterization. Publications authored or co-authored address critical topics such as the optical and structural behavior of PbS thin films, local field enhancement mechanisms in spheroidal core-shell nanocomposites, nonlinear optical responses, and the impact of interfacial layers on enhancement factors in metal–dielectric systems. He has also contributed to computational investigations of bulk and monolayer using Density Functional Theory, reflecting his ability to apply modern simulation tools to explore electronic and optical properties. Additional interdisciplinary research includes fault-tolerant control systems for electrical machines, highlighting versatility beyond physics-focused domains. Proficient he integrates computational analysis with high-quality scientific documentation. His research strengths include data interpretation, modeling, simulation, and the dissemination of findings through peer-reviewed publications and scientific presentations. His academic foundation and research record demonstrate a continuous commitment to advancing materials science, physics-based modeling, and interdisciplinary scientific inquiry. He remains strongly interested in further integrating project management principles into scientific research methodologies to enhance applied outcomes and broaden the real-world impact of theoretical concepts.

Featured Publications

Hirpha, T. T., Gurmesa, G. S., Ali, B. M., & Aga, G. S. Investigation of the electronic and optical properties of bulk and monolayer AlxGa(1−x)N structure using density functional theory.

Chehhat, A., Chouchane, N., Si-Ameur, M., Rebai, B., Larguech, S., Hirpha, T. T., & Menni, Y. Investigation of compressible internal flow mechanisms and thermofluid interactions in centrifugal compressors through advanced hub-to-shroud computational fluid dynamics for diesel engine turbocharger performance.

Bellali, B., Makhloufi, S., Belbekri, T., Alkhafaji, M. A., Hirpha, T. T., Bousserhane, I. K., & Menni, Y. Active fault-tolerant control for asynchronous machines using EKF-based fault estimation and 3-H-bridge inverter mitigation of ITSCs.

Hirpha, T. T., Bergaga, G. D., Ali, B. M., & Gebre, S. S. Investigation of optical bistability in spheroidal core–shell nanocomposites with passive and active dielectric cores.

Hirpha, T. T., Bergaga, G. D., Ali, B. M., & Gebre, S. S.  Local field enhancement factor of spheroidal core–shell nanocomposites with passive and active dielectric cores.

Enyew Zereffa | Employee Engagement | Editorial Board Member | 2306

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Assoc. Prof. Dr. Enyew Zereffa | Employee Engagement | Editorial Board Member

Professor of Inorganic Chemistry | The University of Adama Science and Technology University | Ethiopia

Dr. Enyew Amare Zereffa is an accomplished chemist whose scholarly work spans inorganic chemistry, analytical chemistry, materials science, and nanotechnology. With a strong academic foundation built through advanced degrees in chemistry, he has developed a research career distinguished by innovation, scientific rigor, and impactful contributions to applied chemical sciences. His publication record reflects sustained excellence, comprising 53 peer-reviewed documents, accumulating 1,345 citations, and resulting in an h-index of 18, underscoring the visibility and influence of his work within the scientific community. Central to Dr. Zereffa’s research portfolio is the design, synthesis, and characterization of inorganic materials, particularly nanomaterials and ceramic systems with applications in energy storage, catalysis, water purification, environmental remediation, and biomedical fields. His investigations into ceramic microfilters, nanocomposite structures, and modified metal oxides have contributed to advancements in sustainable technologies and low-cost materials development. These contributions support critical societal needs such as improved water quality, enhanced materials performance, and environmentally conscious industrial processes. His scientific interests bridge fundamental chemistry and applied engineering, emphasizing materials synthesis techniques, solid-state chemistry, surface chemistry, and advanced characterization methods. Dr. Zereffa’s work also demonstrates a strong commitment to problem-solving within local and global contexts, including projects on zinc oxide-based sunscreens, antibacterial nanocomposites, and energy-generating dye-sensitized solar cells. Through collaborations and funded research initiatives, he has driven forward interdisciplinary studies that connect chemistry, materials science, environmental engineering, and nanoscience. As an active contributor to scholarly dissemination, he engages in manuscript reviewing, editorial duties, and academic evaluation, ensuring quality and integrity in scientific publishing. His sustained output, impactful citations, and engagement with emerging research themes position him as a leading figure in contemporary inorganic and materials chemistry research.

Featured Publications

Derbe, T., Gindose, T. G., Sani, T., & Zereffa, E. A. Synthesis of zeolite-A/Fe₃O₄/biochar/MOF-5 composite for the defluoridation of drinking water.

Derbe, T., Sani, T., & Zereffa, E. A. Synthesis of a zeolite-A/MOF-5 composite for the defluoridation of groundwater.

Zereffa, E. A., Segne, T. A., Ananda Murthy, H. C., Gupta, N. K., Orshiso, Aqueous extract phyto-mediated synthesis of ZnO nanoparticles and ZnO-bentonite nanocomposites: Physical analysis and investigation of antibacterial activity.

Gindose, T. G., Gebreslassie, G., Derbe, T., Ashebr, T. G., Daba, Y. T., Mtunzi, T. B. Charge separation enhancement of triple-phase Ag₃PO₄–AgI–ZnO heterojunction for dye photodegradation.

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.

Chih-Hung Pai | Performance Management | Best Researcher Award

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Prof. Chih-Hung Pai | Performance Management | Best Researcher Award

Director of the Leisure Tourism Development Research Center | The University of Zhejiang Yuexiu University | China

Professor Chih-Hung Pai is an accomplished scholar whose research focuses on the intersections of sustainable tourism, hospitality management, and environmental economics. With a portfolio of nine scholarly publications, 78 citations, and an h-index of 4, his academic influence reflects both depth and interdisciplinary breadth. His body of work contributes significantly to understanding how sustainable practices, innovative technology, and policy frameworks can jointly enhance economic growth and ecological preservation within global tourism systems. His recent studies highlight the integration of environmental conservation and economic progress, emphasizing how sustainable tourism practices shape global economies and support long-term resilience. His contributions to leading indexed journals, including Current Issues in Tourism, Humanities and Social Sciences Communications, and Resources Policy, have offered novel insights into green finance mechanisms, carbon neutrality promotion, and cultural tourism development. Through empirical modeling and policy evaluation, he explores strategies that enable regions, particularly in Asia, to transition toward environmentally responsible and economically viable growth models. In parallel, his research investigates technological innovation in hospitality, analyzing how digital tools, machine learning, and green technologies influence customer experience, service recovery, and organizational competitiveness. Studies such as those on technology adoption in green hotels and data-driven assessments of cultural tourism experiences underscore his commitment to integrating artificial intelligence and sustainability in modern service systems. Furthermore, his work on eco tourism experiences, leisure behavior, and corporate social responsibility within the hospitality sector enriches the understanding of human environment interactions and their socio-economic implications. Collectively, Professor Pai’s scholarly output represents a forward-thinking approach to sustainability science bridging theory with practice and providing actionable pathways for policymakers, educators, and industry stakeholders seeking to harmonize economic prosperity with ecological balance in the evolving global tourism landscape.

Featured Publication

Pai, C.-H., Zhang, Y., Wang, Y.-L., Li, K., & Shang, Y. Current challenges and opportunities in cultural heritage preservation through sustainable tourism practices. Current Issues in Tourism.