Mr. Hamid Abbasi | Dentistry | Best Researcher Award

Mr. Hamid Abbasi, Tabriz University of Medical Sciences, Iran

Hamid Abbasi is a dedicated Nutrition & Dietetics student at the Tabriz University of Medical Sciences. With a passion for clinical nutrition in neurology, Hamid has actively participated in research projects through the Student Research Committee and the Neurosciences Research Center. His academic focus revolves around conditions like multiple sclerosis, cognitive disorders, and epilepsy. Throughout his studies, Hamid has been involved in impactful scientific research, earning a notable H-index of 2 and contributing to numerous publications in peer-reviewed journals. His keen interest in exploring the dietary and neurological interface has led to significant insights into how nutrition influences neurological health. Alongside his studies, he has contributed as a reviewer for renowned journals, showcasing his analytical and scientific acumen. Hamid’s ongoing research, driven by curiosity and a commitment to advancing clinical nutrition, highlights his potential for making a transformative impact in the field.

Professional Profile

orcid

Summary of Suitability for the Research for Best Researcher Award

Hamid Abbasi, a Bachelor of Science student specializing in Nutrition and Dietetics at Tabriz University of Medical Sciences, demonstrates impressive research achievements and academic potential. Despite still being in his undergraduate studies, he has been actively involved in research that intersects clinical nutrition and neurology, with a particular focus on neurological disorders such as multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), epilepsy, and cognitive disorders. His research addresses vital aspects of nutrition in relation to neurological health, showcasing a depth of interest and expertise unusual for a student at this academic stage.

Education

Hamid Abbasi is currently pursuing a Bachelor of Science in Nutrition & Dietetics (2021-2025) at Tabriz University of Medical Sciences. His academic journey is anchored at two key institutions: the Student Research Committee and the Neurosciences Research Center, both situated in Tabriz, East Azerbaijan, Iran. His comprehensive education covers clinical nutrition with a focus on neurological disorders, emphasizing the interplay between dietary interventions and neurological health. Hamid’s commitment to academic excellence is evident in his impressive GPA of 3.43/4 as of his sixth semester. Throughout his education, he has demonstrated a strong inclination towards research, engaging in multiple studies and collaborations. His academic work has helped him develop a nuanced understanding of how nutrition impacts neurological conditions, preparing him to make meaningful contributions to clinical nutrition research.

Professional Experience

Hamid Abbasi’s professional experience is deeply rooted in his research endeavors. He has been an active member of the Student Research Committee at Tabriz University of Medical Sciences, where he has contributed to projects examining the dietary impact on neurological disorders. Hamid has presented his findings at esteemed international congresses, including the 10th International Congress on Research and Technology of Iranian Medical Students. His engagement extends to reviewing manuscripts for journals such as the Journal of Clinical Neuroscience and Heliyon, showcasing his critical expertise in evaluating scientific literature. Additionally, Hamid has developed strong skills in statistical analysis, utilizing tools like IBM SPSS, STATA, and RStudio for data analysis. His experience reflects a commitment to advancing the field of clinical nutrition, with an emphasis on innovative research that bridges diet and neurology.

Awards and Recognition

Hamid Abbasi has earned significant recognition for his contributions to the field of clinical nutrition and neurology. His research on Mediterranean-like diets for multiple sclerosis and the impact of trace elements on seizures has been widely acknowledged, with presentations at international congresses like the 10th International Congress on Research and Technology of Iranian Medical Students. His scientific insights and systematic reviews have placed him at the forefront of neurological nutrition research. Additionally, his H-index of 2 signifies the academic influence of his work, and he has been invited to review articles for journals such as Journal of Clinical Neuroscience and Heliyon. These achievements underline Hamid’s dedication to scientific excellence and his potential to advance understanding in nutrition and neurological health.

Research Skills

Hamid Abbasi possesses a wide array of research skills, with a focus on nutrition and its impact on neurological conditions. He is adept at systematic reviews and meta-analyses, having published studies on topics like the effects of trace elements on seizures and the role of cannabidiol in epilepsy. His skills extend to advanced statistical analysis using software such as IBM SPSS, STATA, and RStudio. Hamid is proficient in conducting comprehensive literature reviews and synthesizing research findings, which is crucial for evidence-based nutritional recommendations. His research interests cover multiple sclerosis, neuromyelitis optica spectrum disorder (NMOSD), amyotrophic lateral sclerosis (ALS), and cognitive disorders, where he explores dietary interventions. His strong analytical and methodological capabilities support his goal of contributing to clinical nutrition advancements.

Publication Top Notes

Title: Shining a Light on Trace Elements: A Systematic Review and Meta-analysis of Serum Concentrations in Febrile Seizure

Title: The Link Between Vitamin D and the Risk of Aneurysmal Subarachnoid Hemorrhage: A Systematic Review

Title: Effects of Coffee and Tea Consumption on Glioma Risk: An Umbrella Review of Systematic Reviews and Meta-analyses

Title: Exploring the Efficacy and Safety of Cannabidiol in Individuals with Epilepsy: An Umbrella Review of Meta-analyses and Systematic Reviews

Title: Iron-Status Indicators and HFE Gene Polymorphisms in Individuals with Amyotrophic Lateral Sclerosis: An Umbrella Review of Meta-analyses and Systematic Reviews

Prof. Dr. Haiyan Wang, Kansas State University, United States

Professor Haiyan Wang, based at Kansas State University, is an esteemed academic in the Department of Statistics. With a Ph.D. from The Pennsylvania State University (2004), she has developed a robust research profile in statistical methods, specializing in nonparametric techniques for big data, image analysis, and high-dimensional data studies. Her scholarly journey encompasses profound contributions to advancing rank tests, functional data analytics, and data mining. At Kansas State University, Professor Wang has risen through the ranks from Assistant Professor to a full Professorship, illustrating her steadfast commitment to academic excellence and statistical innovation. Her research impacts not only theoretical statistics but also practical applications in data science, fostering collaboration across various disciplines. With a passion for teaching and mentoring, she continues to shape future statisticians while driving forward significant breakthroughs in her field.

Summary of Suitability for the Research for Best Researcher Award

Professor Haiyan Wang, a distinguished researcher in the Department of Statistics at Kansas State University, brings a wealth of expertise in statistical methods that are highly relevant in the current era of big data. Her research contributions span several critical areas, including nonparametric methods for big data, high-dimensional data analysis, image analysis, and computational statistics. These research domains are crucial in addressing the challenges posed by the explosion of data in science and industry, making her work both timely and impactful.

Education

Haiyan Wang earned her Ph.D. in Statistics from The Pennsylvania State University in 2004, where she focused on testing in multifactor heteroscedastic ANOVA and repeated measures designs with a large number of levels. Under the guidance of Professor Michael G. Akritas, she honed her expertise in statistical modeling and data analysis. Prior to her doctoral studies, she completed both her Master of Science (1999) and Bachelor of Science (1996) degrees at Beijing University, China. Her education laid a strong foundation for her analytical acumen, blending rigorous theoretical knowledge with applied methodologies. Through her studies, Professor Wang gained proficiency in complex statistical approaches, equipping her to tackle challenges in high-dimensional data, computational statistics, and advanced nonparametric techniques, which have become central to her research and academic endeavors.

Professional Experience

Haiyan Wang began her academic career as a Graduate Teaching Assistant at The Pennsylvania State University from 1999 to 2003, transitioning to a Graduate Research Assistant role until 2004. She joined Kansas State University as an Assistant Professor in 2004, where she demonstrated exceptional research and teaching capabilities. Her commitment earned her tenure as an Associate Professor in 2010. In 2016, she was promoted to Professor, a testament to her continued excellence in statistical research and academic service. Throughout her career, she has actively engaged in teaching, curriculum development, and mentorship, shaping the future of statistics students. Her professional journey is marked by significant scholarly output, leadership roles in research collaborations, and active involvement in academic and research committees, further enhancing the reputation of Kansas State University in the field of statistics.

Awards and Recognition

Professor Haiyan Wang has received several accolades acknowledging her contributions to statistics and academia. Her research, often groundbreaking in nonparametric and high-dimensional data analysis, has been recognized through grants and publication awards. Her ability to innovate in computational and data-driven statistical methods has drawn acclaim from academic peers and professional organizations. In addition to research honors, she has been celebrated for her excellence in teaching and mentorship, fostering a new generation of statisticians and researchers. As a leading scholar at Kansas State University, she has also been acknowledged for her contributions to cross-disciplinary projects that leverage statistical analysis for broader scientific discoveries, securing her place as a respected voice in the global statistical community.

Research Skills

Professor Wang’s research skills are diverse and comprehensive. She specializes in nonparametric methods for big data analysis, including techniques for high-dimensional datasets, image analysis, and the development of rank tests. Her expertise extends to longitudinal and functional data analysis, crucial for understanding time-dependent and complex structured data. She is also adept in computational methods, utilizing advanced algorithms to facilitate large-scale data mining. Her skill set includes analyzing clustered and structured data, essential for applications in bioinformatics and social sciences. A visionary researcher, she combines rigorous theoretical development with practical applications, pushing the boundaries of what is possible in statistical analysis, machine learning, and big data interpretation.