Monim Al-Jiboori | Employee Engagement | Research Excellence Award

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Prof. Dr. Monim Al-Jiboori | Employee Engagement | Research Excellence Award

Attmospheric Science | The University of  Mustansiriyah University | Iraq

Prof. Dr. Monim Al-Jiboori is a leading scholar in atmospheric physics and environmental sciences, recognized for his influential contributions to boundary-layer meteorology, urban climatology, air pollution studies, and optical turbulence. With a publication record spanning 75 scientific documents, his work integrates theoretical, experimental, and modeling approaches to advance understanding of atmospheric processes in complex urban and semi-arid environments. His research portfolio reflects strong interdisciplinary depth, addressing turbulent fluxes, similarity theory, surface atmosphere interactions, aerosol optical properties, and environmental impacts of dust storms, industrial emissions, and climate variability. His early foundational studies on local similarity relationships, turbulence structure, and vertical variations in the atmospheric boundary layer remain widely referenced and continue to inform contemporary micro-meteorological research. In recent years, Prof. Al-Jiboori has focused extensively on urban atmospheric dynamics, including analyses of urban heat island behavior, aerodynamic roughness, refractive-index structure coefficients, and wind-energy assessment in densely built environments. His investigations on drought monitoring, synoptic meteorology, and climate-related hazards further contribute to environmental risk assessment and regional climate adaptation strategies. Across his body of work, Prof. Al-Jiboori has accumulated 341 citations and achieved an h-index of 13, underscoring the sustained impact of his research in atmospheric sciences. His publications appear in reputable journals such as Boundary Layer Meteorology, Advances in Atmospheric Sciences, Arabian Journal of Geosciences, and several regional journals addressing Middle Eastern climate challenges.

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Featured Publications

Imran Imran | Rewards & Recognition | Research Excellence Award

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Prof. Imran Imran | Rewards & Recognition | Research Excellence Award

Prof | The University of South China Agricultural University | China

Dr. Imran is an accomplished agronomist and climate-smart agriculture researcher whose work spans crop production, soil health, environmental sustainability, UAV aerodynamics in agriculture, and climate change impacts on agro ecosystems. With two international postdoctoral fellowships one in UAV & rotorcraft microclimate engineering  South China Agricultural University, China  and another in soil health, carbon sequestration, and climate change mitigation  Çukurova University, Turkey he has emerged as a leading contributor to advanced agricultural technologies and regenerative farming systems. His multidisciplinary expertise integrates crop science, plant physiology, soil ecology, nano agriculture, biochar technology, heavy metal remediation, phosphorus biofortification, and carbon-based soil amendments. Dr. Imran has authored several internationally published books spanning agronomy, UAV applications in agriculture, climate-smart strategies, soil restoration, and sustainable food systems, including multiple titles with Springer and Taylor & Francis. With 59 peer reviewed research articles published across high impact international journals, his scientific contributions cover rotor wind microclimate engineering, nano fertilizers, organic inorganic nutrient synergy, heavy metal mitigation, carbon dynamics, and climate resilient cropping systems. His work is widely recognized, with numerous publications in the Journal of Plant Nutrition, Communications in Soil Science and Plant Analysis, International Journal of Phytoremediation, Agriculture, Agronomy, and Scientific Reports.

Profile: ORCID 

Featured Publications

Imran, & Li, J. Crop interaction with UAVs.

Imran, & Li, J. Drone airflow dynamics and crop interaction.

Imran, & Li, J. Enhanced agricultural productivity: UAV-based technology for precision crop yield estimation and disease detection.

Imran, & Li, J. Environmental and economic impact of UAV technology in agriculture.

Imran, & Li, J. Environmental impact and sustainability.

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.

Svetlana Fa Nedeljkovic | Learning & Development | Research Excellence Award | 2704

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Dr. Svetlana Fa Nedeljkovic | Learning & Development | Research Excellence Award

Senior Research Associate | The University of  Faculty of Sciences University of Novi Sad | Serbia

Dr. Svetlana Fa Nedeljković is a distinguished researcher whose scientific contributions lie at the intersection of reproductive toxicology, developmental biology, endocrine disruption, and epigenetic regulation. Her work advances fundamental understanding of how environmental contaminants particularly endocrine-disrupting chemicals interfere with cellular signaling, steroidogenesis, reproductive development, and early-life programming of health and disease. With a research portfolio comprising 35 peer-reviewed publications, 578 citations, and an h-index of 17, she has made a sustained and influential impact within the fields of toxicology and environmental health sciences. Her research spans multiple biological systems, including human granulosa cells, endothelial cells, zebrafish models, and rodent reproductive cells, enabling multi-layered insight into mechanisms of toxicity. She has significantly contributed to deciphering how chemicals such as phthalates bisphenol A, atrazine, and hexabromocyclododecane alter intracellular pathways, including linked regulatory cascades. Her findings helped reveal how these pathways subsequently impact steroid hormone synthesis, mitochondrial function, angiogenesis, reproductive competence, and cellular homeostasis. A notable dimension of her work addresses the Developmental Origins of Health and Disease  through epigenetic changes in early fetal tissues. Her studies on methylation patterns in response to maternal exposures have contributed valuable evidence for understanding how early environmental influences shape long-term physiological outcomes. Dr. Nedeljković has also engaged in extensive collaborative research across international projects focusing on reproductive biology, ecotoxicology, chemical risk assessment, and artificial intelligence based toxicological modeling. Her work integrates in vitro, in vivo, in silico, and systems-level approaches to build mechanistic frameworks for predicting human health risks. Through her broad and methodologically diverse contributions, Dr. Nedeljković continues to advance cutting edge research aimed at protecting reproductive health and improving scientific foundations for chemical safety evaluation.

Profiles:  Scopus | ORCID 

Featured Publications

Tesic, B., Fa Nedeljkovic, S., Markovic Filipovic, J., Samardzija Nenadov, D., Pogrmic-Majkic, K., & Andric, N. Early-life exposure to di(2-ethylhexyl) phthalate impairs reproduction in adult female zebrafish (Danio rerio).

Tesic, B., Samardzija Nenadov, D., Tomanic, T., Fa Nedeljkovic, S., Milatovic, S., Stanic, B., Pogrmic-Majkic, K., & Andric, N. DEHP decreases steroidogenesis through the cAMP and ERK1/2 signaling pathways in FSH-stimulated human granulosa cells.

Stanic, B., Milošević, N., Sukur, N., Samardzija Nenadov, D., Fa Nedeljkovic, S., Škrbić, S., & Andric, N.  An in silico toxicogenomic approach in constructing the aflatoxin B1-mediated regulatory network of hub genes in hepatocellular carcinoma.

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.

Xu Xinsheng | Strategic HR Management | Research Excellence Award

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Prof. Xu Xinsheng | Strategic HR Management | Research Excellence Award

Professor | The University of Shandong University of Aeronautics | China

Prof. Xinsheng Xu is an accomplished scholar whose research sits at the intersection of supply chain management, inventory theory, risk analytics, and quantitative optimization. With 34 academic documents, over 300 citations, and an h-index of 10, his scholarly impact is reflected in both the depth and breadth of his contributions to operations research and management science. His work advances understanding of decision-making under uncertainty, particularly focusing on how risk attitudes such as loss aversion and risk aversion shape procurement and ordering behavior. A significant portion of his research extends classical models such as the newsvendor framework, exploring new dimensions that incorporate backlogging, shortage penalties, fill rate considerations, opportunity loss, and advanced risk measures including Conditional Value-at-Risk. These models offer improved decision-support tools for retailers, suppliers, and logistics managers facing increasingly volatile market environments. Beyond behavioral decision models, his research also encompasses multi sourcing procurement, dual sourcing under emergency conditions, supply option contracts, supplier default risks, and portfolio purchasing strategies. He has developed analytical methods for optimizing procurement in hybrid sourcing systems, considering mismatch costs, spot market dynamics, emergent replenishment strategies, and utility maximizing approaches for risk-sensitive buyers. In parallel, Xinsheng Xu has made influential contributions to optimization theory, including bilevel programming, tri level supply chain models, smoothing techniques for penalty functions, and algorithmic strategies for constrained optimization. These theoretical developments are applied in multi-stage supply chain design, cooperative risk-sharing, and interaction programming problems. His work appears in respected journals such as International Journal of Production Economics, International Journal of Production Research, Annals of Operations Research, Industrial Management & Data Systems, Computers & Industrial Engineering, Mathematics, Discrete Dynamics in Nature and Society, and Numerical Functional Analysis and Optimization.

Featured Publications

Xu, X., Sang, S., & Lee, C. K. M. The optimal ordering decision of a retailer with a spot buying. International Journal of Production Research.

Xu, X., & Lee, C. K. M. Portfolio procurement with an option contract and spot market. International Journal of General Systems.

Sang, S., Xu, X., & Lee, C. K. M. A purchaser’s optimal procurement strategy under emergencies. International Journal of General Systems. Published online.

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.

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.