Monim Al-Jiboori | Employee Engagement | Research Excellence Award

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

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.

Junfeng Zhao | Learning & Development | Research Excellence Award

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.

Pascal Vrignat | Learning & Development | Best Academic Researcher Award

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.

Juan Xu | Women in Leadership | Best Researcher Award

Mrs. Juan xu | Women in Leadership | Best Researcher Award

NCWU at The University of North China University of Water Resources and Electric Power | China

Mrs. Xu Juan is a dedicated Lecturer at the School of Electrical Engineering, North China University of Water Resources and Electric Power, recognized for her strong academic foundation and research excellence in electronic science and energy storage materials. She earned her Ph.D. in Electronic Science and Technology from Huazhong University of Science and Technology , following a solid academic path that included a Bachelor’s degree in Physics from Xinxiang University and postgraduate studies in Electronic Science and Technology at the same institution. Since joining her current university in 2018, she has actively engaged in teaching and research, contributing significantly to the fields of zinc-ion and sodium-ion batteries, supercapacitors, and nanostructured materials. Her research interests focus on cation doping regulation, oxygen vacancy engineering, and advanced energy storage technologies, aiming to enhance electrochemical performance and energy efficiency. Mrs. Xu has published 24 scientific papers, receiving 80 citations with an h-index of 5, showcasing her growing academic influence. Her technical expertise includes materials synthesis, electrochemical analysis, and nanomaterial interface engineering, combining theoretical understanding with experimental innovation. She has also contributed to two Chinese patents and was part of a research team that won the Henan Provincial First-Class Award for Scientific and Technological Progress for advancements in high-power nonlinear optical terahertz radiation sources. Her professional strengths lie in collaborative research, analytical problem-solving, and high-quality scholarly output. Looking ahead, Mrs. Xu aims to expand her research through interdisciplinary collaborations and explore next-generation flexible and sustainable energy storage systems. With her academic excellence, innovative mindset, and strong commitment to scientific advancement, she continues to be a promising scholar contributing meaningfully to the development of modern energy technologies.

Profile:  SCOPUS

Featured Publications

Authors unavailable. Enhancing interfacial electron transfer by gradiently constructing polyaniline electron bridge between MOF and MnOx for high-performance flexible supercapacitors. Journal of Power Sources.

Authors unavailable. The optimal integrating state of VOx with the synergistic effect of Cu²⁺ cation and polyaniline for high-performance flexible fiber zinc-ion battery. Journal of Energy Storage.