Dimitrios Adamis | Psychiatry | Research Excellence Award

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Prof. Dr. Dimitrios Adamis | Psychiatry | Research Excellence Award

HSE | Ireland

Dimitrios Adamis is a consultant psychiatrist and academic researcher with established expertise in adult Attention Deficit Hyperactivity Disorder and delirium. He completed doctoral training at University College Dublin and holds honorary professorial appointments at the University of Galway, the University of Limerick, and University College Dublin. His professional experience combines clinical psychiatry within public health systems with advanced academic research, particularly in outcome measurement and longitudinal data analysis. Research interests focus on adult ADHD, delirium, attention disorders, neuropsychiatric comorbidities, and the development and validation of clinical assessment tools. He has led and contributed to numerous national and international research projects and has authored 139 peer-reviewed scientific documents, accumulating 3,032 citations with an h-index of 30, reflecting sustained research impact. He developed the Adult ADHD Clinical Outcome Scale , a widely used tool for assessing treatment outcomes, and co-authored Ireland’s national “Model of Care for ADHD in Adults,” contributing directly to service development and health policy. His work on delirium has advanced understanding of its epidemiology, subtypes, and diagnostic challenges, particularly in older adults. Through editorial appointments, interdisciplinary collaborations, and evidence-based research, his contributions continue to influence psychiatric practice, clinical research standards, and mental health policy at national and international levels.

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Featured Publications


Occupational stress in teachers in Ireland as Covid-19 pandemic persisted

– International Journal of Educational Research Open, 2022

Naser Safaie | Plant Pathology | Research Excellence Award

Published on by Plant Scientist

Assoc. Prof. Dr. Naser Safaie | Plant Pathology | Research Excellence Award

Tarbiat Modares University | Iran

Naser Safaie is a distinguished plant pathologist and mycologist whose academic journey began with a B.Sc. in Plant Protection from Isfahan University of Technology, followed by an M.Sc. in Plant Pathology from Chamran University, and culminating in a Ph.D. in Plant Pathology–Mycology from Tarbiat Modares University. Over more than three decades, he has developed deep expertise in the biological control of phytopathogenic fungi using microbial antagonists, molecular diagnostics, fungal taxonomy, bioformulation of biocontrol products, and plant–microbe interaction studies. As a seasoned professor and long-time department head at the Faculty of Agriculture, Tarbiat Modares University, he has led numerous high-impact research projects spanning fungal pathogen epidemiology, stress tolerance via endophytes, biofertilizers, and cold-plasma applications in agriculture. Recognized for his leadership roles (including editorial responsibilities and presidency of the Iranian Society of Plant Pathology), he has mentored generations of students and spearheaded the translation of lab innovations into practical biocontrol and biofertilizer products. His work bridges fundamental science and agricultural application, contributing to sustainable crop protection and biotechnology development.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Najafi, M. R., Kordrostami, M., Aghajani, M. A., Safaie, N., & Rahmanpour, S. (2025, October 7). Multilayer perceptron neural network–genetic algorithm for modeling Nicotiana tabacum leaf quality. PLOS One.

Jahedi, A., Safaie, N., Goltapeh, E. M., & Ahmadifar, S. (2024). Auricularia (wood ear mushroom) genus: A contribution to classification and new species records for Iran and world. Plant and Fungal Systematics.

Rahimi-Soujeh, Z., Safaie, N., Moradi, S., Abbod, M., Sharifi, R., Mojerlou, S., & Mokhtassi-Bidgoli, A. (2024, October). New binary mixtures of fungicides against Macrophomina phaseolina: Machine learning-driven QSAR, read-across prediction, and molecular dynamics simulation. Chemosphere.

Abbod, M., Safaie, N., & Gholivand, K. (2024, August). Genetic algorithm multiple linear regression and machine learning-driven QSTR modeling for the acute toxicity of sterol biosynthesis inhibitor fungicides. Heliyon.

Hussein, S. N., Safaie, N., Shams-bakhsh, M., & Al-Juboory, H. H. (2024, August). Harnessing rhizobacteria: Isolation, identification, and antifungal potential against soil pathogens. Heliyon,

Junkang Zhao | Nutritional epidemiology | Best Researcher Award

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Assoc. Prof. Dr. Junkang Zhao | Nutritional epidemiology | Best Researcher Award

Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Taiyuan | China

Dr. Junkang Zhao is a nutritional epidemiologist and health statistician affiliated with Shanxi Bethune Hospital, Third Hospital of Shanxi Medical University. He earned his Ph.D. in Epidemiology and Health Statistics from Shanxi Medical University in 2022. Dr. Zhao’s research primarily focuses on the application of advanced statistical methods in nutritional and medical research, with particular emphasis on dietary pattern analysis, chronic disease epidemiology, and population health. Over the course of his career, including the highly cited review “A Review of Statistical Methods for Dietary Pattern Analysis” (Nutrition Journal, 2021), and has contributed to three National Natural Science Foundation projects while leading two provincial-level research initiatives. His work has garnered significant recognition, including a third prize in a national-level competition. Dr. Zhao actively serves on multiple professional committees, including the Medical and Biostatistics Committee of the China Field Statistics Research Association, Clinical Research and Transformation Committee of the Shanxi Physicians Association, and the Clinical Trials Professional Committee of the Shanxi Anti-Cancer Association. With an H-index reflecting his impactful contributions, and numerous citations and publications to his credit, Dr. Zhao continues to advance evidence-based approaches in nutrition and health research, fostering the translation of statistical insights into clinical and public health applications.

Profile: Orcid

Featured Publications

Wang, J., Chen, S., Zhao, J., Liang, J., Gao, X., Gao, Q., He, S., & Wang, T. (2022). Association between nutrient patterns and hyperuricemia: Mediation analysis involving obesity indicators in the NHANES. BMC Public Health.

Wang, J., Chen, S., Zhao, J., Liang, J., Gao, X., Gao, Q., He, S., & Wang, T. (2022). Association between nutrient patterns and hyperuricemia: Mediation analysis involving obesity indicators for NHANES study .

Zhao, J., Guo, W., Wang, J., & Wang, T. (2022). Exploring the association of dietary patterns with the risk of hypertension using principal balances analysis and principal component analysis. Public Health Nutrition.

Zhao, J., Li, Z., Gao, Q., Zhao, H., Chen, S., Huang, L., Wang, W., & Wang, T. (2021). A review of statistical methods for dietary pattern analysis. Nutrition Journal.

Liang, J., Zhao, J. K., Wang, J. P., & Wang, T. (2020). Association between animal source foods consumption and risk of hypertension: A cohort study. European Journal of Nutrition.