Weitao Yue | Engineering | Research Excellence Award

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Mr. Weitao Yue | Engineering | Research Excellence Award

China University of Mining and Technology | China

Mr. Weitao Yue is a Ph.D. candidate at the China University of Mining and Technology, specializing in Safety Science and Engineering with a focus on coal and rock dynamic disaster prevention and control. His research is dedicated to addressing critical challenges in coal mine safety, emphasizing the investigation of underlying mechanisms, monitoring and early warning systems, and the development of innovative control technologies for coal and rock dynamic disasters. He has actively contributed to multiple national-level major research projects, including the National Natural Science Foundation of China (NSFC) projects, National Key Research and Development Program projects, and National Major Scientific Instrument Development projects, where he played pivotal roles in theoretical innovation, experimental research, and data analysis. Mr. Yue has published seven high-impact SCI papers as first or corresponding author in top-tier journals such as International Journal of Mining Science and Technology, Engineering Geology, Rock Mechanics and Rock Engineering, Measurement, Journal of Central South University, and Physics of Fluids. Notably, two of his papers have been recognized as ESI Highly Cited, ranking among the top 1% most cited globally, reflecting his significant academic influence. His research provides theoretical foundations and technical solutions to enhance coal mine safety, contributing substantially to the advancement of mining engineering and disaster prevention technologies.

Profile : Orcid

Featured Publications

Feng, X., Yue, W., Cao, Z., Zhou, S., Cao, X., & Wang, E. (2026). “Multi-scale DEM simulation and experimental validation of water-saturated coal failure under variable-angle shear loading: Revealing hydrochemical coupling damage mechanisms.” Measurement. https://doi.org/10.1016/j.measurement.2025.119812

Feng, X., Yue, W., Zhao, X., Wang, D., Liu, Q., & Ding, Z. (2025). “Evolution law and risk analysis of fault-slip burst in coal mine based on microseismic monitoring.” Environmental Earth Sciences. https://doi.org/10.1007/s12665-024-12080-5

Zitong Gao | Big data Integration | Research Excellence Award

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Ms. Zitong Gao | Big data Integration | Research Excellence Award

Dalian University | China

Ms. Zitong Gao is a dedicated nursing graduate student specializing in quantitative research methodologies within the field of chronic disease management. Building on a Bachelor of Science in Nursing and currently pursuing a Master of Science in Nursing at Dalian University, she has developed a strong academic foundation in nursing theories, advanced health assessment, geriatric nursing, and evidence-based practice. Her research experience includes participating in quantitative studies, collecting and analyzing data, and contributing to the development of academic manuscripts. In addition to her research background, she completed a comprehensive clinical internship at a university-affiliated hospital, where she gained hands-on experience in internal medicine, surgery, and holistic patient care through assessment, care planning, implementation, and evaluation. Skilled in statistical software such as SPSS, Mplus, Excel, and Stata, she integrates data-driven approaches into her research work. Her professional interests focus on improving patient outcomes, chronic disease self-management, gerontological nursing, and advancing nursing practice through rigorous quantitative inquiry. She has earned her nurse qualification certificate, demonstrating a solid commitment to professional standards in clinical care. With a strong blend of academic training, research competence, and clinical experience, she aims to contribute meaningfully to nursing science and patient-centered healthcare advancements.

Profile : Orcid

Featured Publication

Latent transition of social participation and its relationship with frailty among older adults with chronic non-communicable diseases in China: A national longitudinal study, 2025

Mebarka Allaoui | Machine Learning and AI Applications | Best Paper Award

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Dr. Mebarka Allaoui | Machine Learning and AI Applications | Best Paper Award

Bishop’s University | Canada

Dr. Mebarka Allaoui dedicated computer science researcher with a strong background in machine learning, manifold learning, and computer vision, this scholar holds a PhD in Computer Science focused on embedding techniques and their applications to visual data analysis. Their academic journey includes a master’s degree in industrial computer science and a bachelor’s degree in information systems, all completed with high distinction. Professionally, they have served as a Postdoctoral Fellow contributing to industry-funded research on anomaly detection, developing novel embedding, deep learning, and clustering methods to enhance the interpretability of latent representations and improve fraud detection in real-world financial datasets. Prior experience includes working as a computer engineer supporting system administration, software development, data analysis, and network configuration, alongside several teaching appointments delivering practical courses in software engineering, algorithmics, and web development. Their research contributions span dimensionality reduction, clustering, optimization, document analysis, and scientific information retrieval, with publications in reputable journals and conferences. Collaborative work further extends to studies on optimizers, object detection, and embedding initialization strategies. Recognized for high-quality academic performance and impactful research outputs, they continue to advance data-driven methodologies, aiming to bridge theoretical innovation with practical applications in intelligent systems and decision-support technologies.

Profile : Google Scholar

Featured Publications

Allaoui, M., Kherfi, M. L., & Cheriet, A. (2020). “Considerably improving clustering algorithms using UMAP dimensionality reduction technique” in International Conference on Image and Signal Processing, 317–325.

Drid, K., Allaoui, M., & Kherfi, M. L. (2020). “Object detector combination for increasing accuracy and detecting more overlapping objects” in International Conference on Image and Signal Processing, 290–296.

Allaoui, M., Belhaouari, S. B., Hedjam, R., Bouanane, K., & Kherfi, M. L. (2025). “t-SNE-PSO: Optimizing t-SNE using particle swarm optimization” in Expert Systems with Applications, 269, 126398.

Allaoui, M., Kherfi, M. L., Cheriet, A., & Bouchachia, A. (2024). “Unified embedding and clustering” in Expert Systems with Applications, 238, 121923.

Allaoui, M., Kherfi, M. L., & Cheriet, A. (2020). “International Conference on Image and Signal Processing” in Springer.

Hongyan Jin | Bioinformatics | Young Researcher Award

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Ms. Hongyan Jin | Bioinformatics | Young Researcher Award

Tarim University | China

Ms. Hongyan Jin dedicated and accomplished biologist with a strong foundation in plant molecular biology, bioinformatics, and physiological research. Holds a Master’s degree in Biology from Tarim University, with a cumulative GPA of 87.64, earning recognition as an Outstanding Graduate and recipient of multiple university-level scholarships. Academic training includes advanced courses in plant physiology, molecular and cell biology, biochemistry, bioinformatics, and biostatistics. Experienced in genome-wide identification and analysis of gene families, particularly the SnRK2 gene family in Populus euphratica, and proficient in total RNA extraction and qRT-PCR techniques. Research focuses on plant responses to abiotic stresses, integrating computational and experimental approaches to explore stress-responsive gene functions. Published research in the International Journal of Molecular Sciences, highlighting expertise in genome-wide bioinformatics analysis and molecular plant biology. Fluent in English (CET-6) and holds a Mandarin proficiency certificate, demonstrating strong communication skills. Recognized for academic excellence, diligence, and integrity, with a proactive and detail-oriented approach to research and professional responsibilities. Committed to continuous learning and tackling scientific challenges with rigor and persistence. Possesses a clear understanding of professional knowledge, strong integrative abilities, and a collaborative mindset, making significant contributions to plant biology and stress response research.

Profile : Scopus

Featured Publications

(2025). The identification and characterization of the PeGRF gene family in Populus euphratica Oliv. heteromorphic leaves provide a theoretical basis for the functional study of PeGRF9. International Journal of Molecular Sciences.

(2025). Genome-Wide Identification of the SnRK2 Gene Family and Its Response to Abiotic Stress in Populus euphratica

(2024).Comparative Genomics Analysis of the Populus Epidermal Pattern Factor (EPF) Family Revealed Their Regulatory Effects in Populus euphratica Stomatal Development

Naima Rahiel | Public Health Analytics | Women Researcher Award

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Mrs. Naima Rahiel | Public Health Analytics | Women Researcher Award

QARTZ, Université Paris 8 | France

Naima Rahiel is a doctoral researcher in Industrial Engineering and Productics at the University of Paris 8, specializing in the modeling and optimization of complex systems, with a particular focus on hospital logistics and supply chain resilience. She holds a Master’s and a Bachelor’s degree in Industrial Engineering from the University of Oran 2, Algeria, where she built strong foundations in probabilistic analysis, production systems, and decision-making under uncertainty. Her professional experience includes academic teaching at IUT de Montreuil and practical research in industrial and healthcare environments, such as Tosyali Algeria and the Canastel Pediatric Hospital in Oran. Her research explores the resilience of healthcare supply chains through analytical and simulation-based approaches, leading to several international conference presentations and peer-reviewed publications, including contributions to Springer’s book series and the journal Environmental Systems and Decision. Passionate about innovation, data analysis, and system reliability, she aims to bridge theoretical modeling with real-world decision support tools for sustainable and adaptive supply chain management. Her academic achievements and active participation in scientific events demonstrate her commitment to advancing research on healthcare logistics and resilience engineering, contributing valuable insights to the industrial and operational research community.

Profile : Google Scholar

Featured Publication

Rahiel, N., El Mhamedi, A., & Hachemi, K. (2024). Healthcare Supply Chain: Resilience Qualitative Evaluation. In Hospital Supply Chain: Challenges and Opportunities for Improving Healthcare.

Rahiel, N., El Mhamedi, A., Hachemi, K., Aouffen, N., & Rahiel, I. (2025). Resilience of the hospital supply chain: a case study-based approach on safety stock. Environment Systems and Decisions, 45 (4), 56.

Rahiel, N., Addouche, S.A., El Mhamedi, A., & Hachemi, K. (2025). Function-Based Modeling for Reactive Optimization of Healthcare Resource Reallocation. In Proceedings of the 16th International Conference on Logistics and Supply Chain Management (LOGISTIQUA 2025).

Wenhu Xu | Quantitative Research | Best Researcher Award

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Mr. Wenhu Xu | Quantitative Research | Best Researcher Award

Peking University | China

Wenhu Xu is a doctoral candidate in Demography at Peking University, with a master’s degree in Social Work from the same institution and a bachelor’s degree from Jimei University. His research focuses on population aging, elderly health, social policy, and the silver economy. Xu has actively contributed to national research projects, including the National Key Research and Development Plan and the National Social Science Foundation major project on elderly care systems with Chinese characteristics. His work has been published in both international and Chinese core journals, addressing topics such as chronic diseases, medical burden, and the impact of AI and accessibility technologies on vulnerable groups. He has presented at multiple international conferences, including IJCAI and AIDBEI, and received distinctions such as the Peking University May Fourth Scholarship and recognition as a merit student. Xu’s academic endeavors integrate demographic analysis with social innovation, emphasizing data-driven insights for improving health equity and active aging. His goal is to contribute to policy optimization and the sustainable development of China’s aging society through interdisciplinary research and evidence-based strategies.

Profile: Scopus

Featured Publication

A Cohort of Sociodemographic and Health-Related Risk Factors for All-Cause Mortality in Middle-Aged and Older Adults in China, 2025

Amon Exavery | Statistical Analysis | Transcontinental Excellence in Research Data Analysis Award

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Dr. Amon Exavery | Statistical Analysis | Transcontinental Excellence in Research Data Analysis Award

University of Dodoma | Tanzania

Dr. Amon Exavery is a distinguished statistician and public health researcher with over 15 years of experience in research, evaluation, and learning. He holds a Ph.D. in Statistics from the University of Dodoma, a Master’s degree in Epidemiology from the University of the Witwatersrand, and a Bachelor’s degree in Statistics from the University of Dar es Salaam. Dr. Exavery has led numerous large-scale health and social service research projects, including impactful programs on Orphans and Vulnerable Children (OVC), HIV/AIDS, malaria, WASH, nutrition, reproductive, maternal, and child health, adolescent sexual and reproductive health, and sustainable livelihoods. As a Senior Research and Learning Advisor at Pact Tanzania, he has spearheaded multiple secondary data analyses, impact evaluations, and evidence-based program improvements. Previously, he served as a Statistician and Research Scientist at Ifakara Health Institute and Monitoring & Evaluation Officer at Jhpiego, where he applied advanced statistical modeling, multilevel analysis, and predictive analytics to inform policy and practice. A prolific author, Dr. Exavery has published over 40 peer-reviewed articles, presented at international conferences, and contributed to global public health knowledge. Recognized for his strategic leadership, mentorship, and innovative research approaches, he continues to drive evidence-based interventions and strengthen research capacity across Tanzania and the wider region.

Profile : Orcid

Featured Publications

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2026). “Enhancing Longitudinal Impact Evaluation of Non-Experimental Interventions: A Comparative Analysis of Generalized Estimating Equations and Multilevel Models Based on Empirical Evaluation of Temporal Change in Food Security Following an Economic Empowerment Intervention.” Evaluation and Program Planning.

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2025). “Determinants of Participation in WORTH Yetu Economic Empowerment Intervention among Caregivers of Orphaned and Vulnerable Children in Tanzania: A Longitudinal Multivariable Logistic Regression Analysis.” Social Sciences & Humanities Open.

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2024). “Longitudinal Evaluation of the Influence of WORTH Yetu on Household Economic Status Based on the Count of Non-Asset Resources for Orphaned and Vulnerable Children’s Well-Being in Tanzania.” Child Indicators Research.

Exavery, A., Katbi, M., Kirigiti, P. J., Balan, R. T., & Charles, J. (2024). “Multivariate Mixed-Effects Ordinal Logistic Regression Models with Difference-in-Differences Estimator of the Impact of WORTH Yetu on Household Hunger and Socioeconomic Status among OVC Caregivers in Tanzania.” PLOS ONE.

Exavery, A., Alam, K., Charles, J., Barankena, A., Bajaria, S., Minja, E., Mulikuza, J., Mbwambo, T., Ally, A., Mseya, R., et al. (2022). “Impact of Household Economic Strengthening Intervention on Food Security among Caregivers of Orphans and Vulnerable Children in Tanzania.” PLOS ONE.

Huiyuan Ye |  Educational Data Analysis | Best Researcher Award

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Dr. Huiyuan Ye |  Educational Data Analysis | Best Researcher Award

Shanghai Jian Qiao University | China

Dr. Huiyuan Ye is a distinguished scholar in higher education management and sustainable development. Holding a Doctor of Education (Ed.D.) from the University of Pittsburgh (2017) and prior degrees in English Literature from Shanghai International Studies University (M.A. 2009; B.A. 2006), he has held academic, research, and administrative roles at institutions including the University of Pittsburgh, Southern New Hampshire University, Duke Kunshan University, and currently Shanghai Jian Qiao University, where he serves as Vice Dean for Research and Faculty Director of the Research Center for Sustainable Development of Foreign Language Education. His research, published in SSCI Q1 journals, focuses on liberal arts and sciences education, global higher education, and embedding UNESCO’s Education for Sustainable Development (ESD) agenda into foreign language curricula. He has contributed to 11 scholarly documents, cited 140 times, and maintains an h‑index of 6. Dr. Ye’s work emphasizes interdisciplinary pedagogy, competency‑based education, workforce insights, and sustainable development strategies. Recognized with awards such as the “Great Educator of the New Age” nomination by the Shanghai Municipal Education Commission, he has collaborated with international organizations including UNESCO, USAID, and Lumina Foundation. Through research, curriculum innovation, and international engagement, Dr. Ye continues to advance higher education reform and comparative education scholarship, bridging theory and practice in East Asian and global contexts.

Profiles : Scopus | Google Scholar

Featured Publications

Ye, H. (2024). Interdisciplinary mobility: An approach to measuring interdisciplinary learning outcomes by using curricular checkpoints. International Journal of Sustainability in Higher Education, ahead-of-print(ahead-of-print).

Ye, H. (2024). Setting off the dominoes: A theory of change for scaled interdisciplinarity at a Sino-American joint-venture liberal arts and sciences University in China. Asia Pacific Education Review.

Wang, X., Xiong, W., & Ye, H. (2023). Chinese Doctoral Students’ Perceptions of Employability in the United States: Cultivating Preparedness for a Challenging World. In T. Brown (Ed.), Graduate Students at Work: Exploited Scholars of Neoliberal Higher Education (Rethinking Careers, Rethinking Academia). University Press of Kansas

Mok, K.-H., Xiong, W., & Ye, H. (2021). COVID-19 Crisis and Challenges for Graduate Employment in Taiwan, Mainland China, and East Asia: A Critical Review of Skills Preparing Students for Uncertain Futures. Journal of Education and Work.

Wang, X., Jacob, W. J., Blakesley, C. C., Xiong, W., Ye, H., Xu, S., & Lu, F. (2020). Optimal Professional Development ICT Training Initiatives at Flagship Universities. Education and Information Technology.

Gracia Cristina Villodres | Descriptive Analytics | Best Research Article Award

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Mrs. Gracia Cristina Villodres |  Descriptive Analytics | Best Research Article Award

University of Granada | Spain

Gracia Cristina Villodres is a predoctoral fellow at the University of Granada, specializing in physical activity, health, and education. She holds a Bachelor’s Degree in Primary Education with a specialization in Physical Education (2020), and two Master’s Degrees—one in Research and Innovation in Curriculum and Teacher Training (2021) and another in Physical Activity and Health (2022). Currently completing her PhD (FPU Fellowship 2021–2025) on healthy habits, cognitive function, and academic performance, she is also pursuing a Degree in Psychology. Her research interests focus on physical activity, body image, academic achievement, and mental health in youth populations. She has participated in four competitive research projects, serving as both researcher and principal investigator, and has published over 50 book chapters with ISBN. Her scholarly impact includes an H-index of 4 in Web of Science, 12 in Scopus, and 5 in Google Scholar, with a total of over 55 citations across databases. She has completed a research stay at the University of Bern and received the University of Granada Talent Award (2022). Through her teaching and research, she promotes evidence-based approaches to education and health, aiming to enhance well-being, inclusion, and performance in school and university settings.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Villodres, G. C., Pérez-Díaz, J.-J., Salas-Montoro, J.-A., & Muros, J. J. (2025). Sex-based differences in lifestyle behaviours, self-esteem, and academic performance: A structural equation model in high-socioeconomic-status school-aged youth from southern Spain. Children.

Villodres, G. C., Rodríguez-Mérida, M., Vizcaíno-Cuenca, R., & Muros, J. J. (2025). Effectiveness of physical education interventions on mental health in children and adolescents: A systematic review of wellbeing and distress across educational levels. Adolescent Research Review.

Villodres, G. C., Campos-Pérez, L. M., Salvador-Pérez, F., Muros, J. J., & Vizcaíno-Cuenca, R. (2025). Relación entre el uso de redes sociales, hábitos saludables y factores psicológicos relacionados con la percepción de la imagen corporal en estudiantado universitario. Retos.

Navidad Cobo, L., Villodres, G. C., & Padial-Ruz, R. (2025). Efecto de un programa de actividad física y educación nutricional para la mejora de hábitos saludables en educación primaria. Retos.

Villodres, G. C., Salvador-Pérez, F., & Muros, J. J. (2024). Factors associated with Mediterranean diet adherence in a sample of high socio-economic status children from southern Spain. Public Health Nutrition.

Eman Ayman Nada |  Public Health Analytics | Best Researcher Award

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Dr. Eman Ayman Nada |  Public Health Analytics | Best Researcher Award

Mnistry of Health, Damietta | Egypt

Dr. Eman Ayman Nada is a pharmacist-researcher who earned her Bachelor’s degree in Pharmaceutical Sciences at the Tanta University (2017–2022), graduating with a “Very Good” grade. She currently serves as a hospital pharmacist at Kafr Saad Central Hospital in Damietta, Egypt, and as a researcher with the Medical Research Group of Egypt (MRGE) in Arlington, USA. In her research role she has led systematic reviews and meta-analyses (including as first or corresponding author), performing data analysis with RevMan and SPSS. Her education and internships have included clinical research training (via Negida Academy) and GCP certification (viaMedical Agency for Research and Statistics in London). Her research interests span clinical pharmacy, systematic reviews and meta-analysis, pharmacoepidemiology, drug safety and pharmacovigilance, and the intersection of data-analysis / machine-learning with public-health outcomes. She has also served in student-research leadership roles, coordinating training for hundreds of students in scientific research methodology. Looking ahead, she aims to further publish high-impact evidence-based medicine studies, mentor emerging researchers, and contribute to improved pharmaceutical care through rigorous clinical research.

Profiles : Orcid | Scopus

Featured Publications

1️⃣ Nada, E. A., Abu Kaddorah, M. E., El Jamal, M., Hamad, A., & Mansour, F. R. (2025). Eggshell waste as a sustainable resource for nanoparticle preparation; synthesis, characterization and applications. Environmental Nanotechnology, Monitoring & Management.

2️⃣ Varghese, C., Peters, L., Gaborit, L., Xu, W., Kalyanasundaram, K., Basam, A., Park, M., Wells, C., McLean, K. A., Schamberg, G., et al. (2025). Predicting opioid consumption after surgical discharge: a multinational derivation and validation study using a foundation model. npj Digital Medicine.

3️⃣ Zaazouee, M. S., Nada, E. A., Al-kafarna, M., Shaheen, A., Ramu, S. K., Hafez, A. H., Matar, S. G., Assar, A., Elshennawy, M., Abu El-Enien, H., et al. (2025). A multinational cross-sectional study on the prevalence and predictors of long COVID across 33 countries. Scientific Reports.

4️⃣ Abdelghany, A., Qutob, I. A., Abdel Azim, A., Assem, M., Gad, M., Shawkat, A., Gamal, A., & Nada, E. A. (2025). Perioperative and oncological outcomes of laparoscopic versus open pancreaticoduodenectomy: A meta-analysis of randomized controlled trials. Annals of Oncology.

5️⃣ Chukr, M., Mohamady, A. O., Abdallh, F., Farrag, D. A., Nada, E. A., Qutob, I. A., & Elsayed, M. M. (2025). Knowledge, Attitudes, and Practices of Blood Donation Among Medical Students: A Systematic Review Across Nine Countries. Preprint.