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

Arega Debu | HR Technology and Digital Transformation | Editorial Board Member

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Mr. Arega Debu | HR Technology and Digital Transformation | Editorial Board Member

Lecturer| The University of  Dire Dawa University | Ethiopia

Mr. Arega Debu an emerging researcher in the fields of thermal engineering, renewable energy systems, and mechanical design. His academic work primarily centers on developing sustainable solutions that address critical resource challenges, with a particular focus on accessible water purification technologies for underserved communities. His master’s research explored solar desalination as a practical and energy-efficient avenue to provide clean water in remote regions. By investigating system performance, thermal behavior, and energy optimization, his work contributes to the broader field of solar-driven water treatment technologies and aligns with global efforts toward sustainable development. His research background also includes mechanical system design, with particular interest in dynamic systems and mobility solutions. Earlier academic projects involving suspension systems demonstrate his strong analytical capabilities, design proficiency, and commitment to engineering innovation. These foundational studies reflect a wider interest in mechanical structures and the integration of engineering principles for improved performance, efficiency, and user-centered design. He possesses strong technical skills that support his research activities, including proficiency in major mechanical engineering software tools such as SolidWorks and ANSYS for simulation, modeling, and design analysis. In addition, his training in computer hardware systems and digital tools enhances his ability to integrate technology-driven approaches into engineering problem-solving. His growing competency in digital productivity tools and technical communication further complements his interdisciplinary research focus. Beyond technical competence, the author maintains an interest in emerging renewable technologies, heat transfer applications, and sustainable engineering solutions. His research vision centers on advancing affordable, practical, and community-oriented engineering innovations particularly those that enhance water security, promote renewable energy adoption, and support long-term socio-economic development. Through continued inquiry and collaboration, he aims to expand contributions to fields such as thermal systems engineering, solar technologies, and applied mechanical design.

Featured Publication

Debu, A. A., Adem, K. D., & Nigussie, S. G. Design and thermal performance investigation of solar-powered water purifying system for Dire Dawa rural area. Solar Energy Advances.

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.

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.

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.

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.