Assoc. Prof. Dr. Ozra Tabatabaei-Malazy | Medicine | Best Researcher Award

Assoc. Prof. Dr. Ozra Tabatabaei-Malazy | Medicine | Best Researcher Award

Assoc. Prof. Dr. Ozra Tabatabaei-Malazy, Tehran University of Medical Sciences, Iran.

Dr. Ozra Tabatabaei Malazy is a distinguished researcher and academic in endocrinology and metabolism, associated with the Tehran University of Medical Sciences (TUMS) Endocrinology & Metabolism Research Institute (EMRI). Born in Iran in 1966, Dr. Tabatabaei has dedicated her career to improving clinical and public health outcomes, particularly in diabetes and metabolic disorders. With an impressive h-index of 23 (Scopus) and 33 (Google Scholar), she has contributed significantly to scientific knowledge through her expertise in clinical trials, cross-sectional studies, and meta-analyses. Her academic achievements include an MD, MPH, and PhD in Pharmacology, culminating in her current position as Assistant Professor. Dr. Tabatabaei’s influence extends to editorial roles in prominent journals, reflecting her commitment to advancing research quality and ethics. Her work is characterized by a focus on translating research into effective treatments and preventive measures, particularly for non-communicable diseases prevalent in Iran and worldwide.

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summary of suitability for Best Researcher Award

Dr. Ozra Tabatabaei Malazy demonstrates an impressive track record in medical research, particularly in endocrinology and metabolism. Her extensive educational background, including an MD, an MPH focused on Knowledge Transfer Exchange, and a PhD in Pharmacology, aligns well with the research and clinical demands of the field. With over two decades of dedicated research experience at Tehran University of Medical Sciences, she has contributed to numerous studies on topics like diabetes, metabolic disorders, oxidative stress, and systematic reviews of therapeutic interventions. Her ongoing involvement in research projects, particularly in clinical trials, cross-sectional studies, and meta-analyses, highlights her commitment to advancing scientific knowledge and clinical practices.

🎓 Education 

Dr. Tabatabaei Malazy’s educational background underscores her dedication to both medical practice and research. She earned her General Medical Doctor (MD) degree in 1993, providing a strong foundation in clinical medicine. In 2006, she pursued a Master of Public Health (MPH) at Tehran University of Medical Sciences (TUMS), where her dissertation focused on Knowledge Transfer Exchange (KTE), a critical area for implementing research findings into healthcare practice. Driven by her passion for pharmacology and therapeutic interventions, she further advanced her academic qualifications with a PhD in Pharmacology in 2016. These degrees equipped her with the skills to integrate clinical insights with a population health perspective, fostering her development as a versatile researcher. Today, as an Assistant Professor, Dr. Tabatabaei combines her expertise in medicine, public health, and pharmacology to contribute to the fields of endocrinology and metabolism through her research and clinical trials.

💼    Experience 

Dr. Tabatabaei has a robust career in endocrinology and metabolism, with over two decades at the Tehran University of Medical Sciences’ Endocrinology & Metabolism Research Institute (EMRI). Since 1998, she has served as a research fellow, contributing to groundbreaking research in diabetes and lipid disorders. Additionally, she has been an active reviewer for journals like Iranian Journal of Diabetes & Lipid Disorders and Plos One, among others. Her influence extends to editorial roles, including Section Editor for the Journal of Diabetes and Metabolic Disorders and Plos One. Dr. Tabatabaei’s contributions are enriched by her membership on EMRI’s peer-review committee and her involvement as a guest editor. These positions showcase her commitment to advancing scientific standards. Through her editorial and peer-review work, Dr. Tabatabaei is shaping the quality of research published in her field, ensuring its relevance and integrity in endocrinology and metabolic sciences.

🏅Awards and Honors 

Dr. Tabatabaei’s outstanding contributions to endocrinology and metabolism have earned her numerous awards and honors, recognizing her influence in clinical research. Her editorial appointments across renowned journals such as Plos One and the Journal of Diabetes and Metabolic Disorders underline her authority in the field. Additionally, Dr. Tabatabaei’s role as a guest editor for Frontiers in Endocrinology highlights her expertise and leadership in metabolic research. Her efforts in reviewing and overseeing high-impact research have further contributed to her esteemed status within the academic community. With her impressive h-index metrics—23 in Scopus and 33 in Google Scholar—she is well-regarded for her scholarly impact. Dr. Tabatabaei’s recognitions underscore her commitment to advancing research and influencing global health perspectives, particularly within endocrinology and non-communicable disease prevention.

🌍   Research Focus 

Dr. Tabatabaei’s research primarily centers on non-communicable diseases, particularly diabetes and metabolic disorders. Her studies explore the underlying mechanisms of these conditions, emphasizing risk factors, preventive measures, and therapeutic interventions. Dr. Tabatabaei has contributed to numerous clinical trials and cross-sectional studies, providing valuable insights into the epidemiology and management of metabolic diseases. Her work often includes systematic reviews and meta-analyses, establishing her as a pivotal figure in evidence-based medicine. Dr. Tabatabaei is also actively involved in scientometric studies that analyze research trends and their impact on healthcare practices. Her commitment to research extends to the field of pharmacology, where she examines the effects of natural and synthetic compounds on metabolic health. Through her extensive research, Dr. Tabatabaei aims to develop practical solutions for managing and mitigating the global burden of diabetes and related metabolic disorders.

📖 Publication Top Notes

  • Title: Nurses’ role in diabetic foot prevention and care; a review
    Citation: 259
  • Title: New horizons in treatment of osteoporosis
    Citation: 211
  • Title: Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the …
    Citation: 185
  • Title: Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in …
    Citation: 161
  • Title: Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease .
    Citation: 149

Prof. Yankuo Qiao | Finance | Best Researcher Award

Prof. Yankuo Qiao | Finance | Best Researcher Award

Prof. Yankuo Qiao, The George B. Delaplaine Jr. School of Business, Hood College, United States

Yankuo Qiao is an Assistant Professor of Finance at Hood College’s George B. Delaplaine Jr. School of Business, where he began in August 2022. Prior to this, he held the position of Visiting Assistant Professor of Finance at Oakland University. His academic journey is marked by a strong focus on finance, having completed a Ph.D. in Management from Rutgers Business School, specializing in Finance and Economics. His research interests span corporate finance, governance, behavioral finance, and corporate social responsibility, among others. Dr. Qiao’s work has been presented at numerous prestigious conferences globally, such as the American Finance Association and the Western Economic Association. With a passion for teaching and mentoring, he imparts knowledge across various finance and management disciplines. His academic achievements and contributions continue to shape the next generation of business leaders while advancing research in finance.

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Summary of Suitability for the Research for Best Researcher Award

Dr. Yankuo Qiao is a highly qualified candidate for the Research for Best Researcher Award. With a Ph.D. in Management from Rutgers Business School, Dr. Qiao has made notable contributions in finance and economics, particularly in corporate finance, governance, and corporate social responsibility. His academic journey is marked by a Dean’s Dissertation Fellowship, which reflects his scholarly excellence.

🎓  Education 

Yankuo Qiao holds a Ph.D. in Management with a focus on Finance and Economics from Rutgers Business School, completed in May 2021. His dissertation, “Three Essays in Corporate Management and Firm Policy,” reflects his deep expertise in corporate finance, with a committee chaired by renowned professors Ivan Brick, Darius Palia, and others. His academic journey began with a B.Sc. in Economics from the School of Business, Shandong University in May 2014. He later pursued an M.Sc. in Quantitative Finance from Rutgers Business School, graduating in May 2016, further enhancing his skills in financial analysis, corporate governance, and investment strategies. His education, combined with his research, has given him a solid foundation for his teaching and professional career, particularly in areas such as corporate governance, behavioral finance, and international business.

💼  Experience

Dr. Yankuo Qiao is currently serving as an Assistant Professor of Finance at Hood College, where he has been since August 2022. He previously held the role of Visiting Assistant Professor of Finance at Oakland University from August 2021 to July 2022. During his academic tenure, he has taught various finance and business-related courses, including Managerial Finance, Corporate Finance, and International Business, at both undergraduate and graduate levels. His expertise extends beyond teaching, as he is also actively involved in academic research and publishing, with a particular focus on corporate governance, corporate social responsibility, and behavioral finance. His teaching experience spans esteemed institutions like Rutgers Business School, where he served as a primary instructor for advanced finance courses. Dr. Qiao’s experience also includes organizing workshops, contributing to curriculum development, and mentoring students in research methodologies.

🏅  Awards and Honors

Throughout his academic career, Dr. Yankuo Qiao has garnered several accolades that reflect his dedication to excellence. Notably, he was awarded the prestigious Dean’s Dissertation Fellowship for Academic Excellence at Rutgers Business School during his Ph.D. studies. His dissertation work, recognized for its insightful contributions to corporate finance and firm policy, earned him further acclaim in his field. Additionally, Dr. Qiao’s research has been featured in top-tier conferences, such as the American Finance Association (AFA) Annual Meeting and the Financial Management Association Annual Meeting. His paper presentations have been well-received at notable venues like the Western Economic Association International, where his innovative research on corporate governance and behavioral finance continues to influence academia. He has also been invited to numerous seminars and conferences worldwide, showcasing his expertise and dedication to advancing financial research.

🌍 Research Focus 

Dr. Yankuo Qiao’s research primarily revolves around corporate finance, governance, and social responsibility, with a keen interest in understanding how corporate decision-making affects firm performance. He explores the dynamics of corporate governance, particularly in how internal and external mechanisms influence a CEO’s investment cycle and decision-making. His research also delves into behavioral finance, examining the psychological factors that affect financial decisions, and corporate social responsibility, exploring its impact on firm value and sustainability. Additionally, Dr. Qiao applies machine learning techniques to financial analysis, investigating the implications of textual data in finance and accounting. His current projects include studies on hate crimes’ impact on analyst behaviors, CEO career experiences in China, and the nexus of top management teams’ structures with stock liquidity and valuation. His forward-looking research is presented at global conferences, contributing significantly to the fields of finance and governance.

 📖 Publuaction Top Notes

  • The Application in the Portfolio of China’s A-share Market with Fama-French Five-Factor Model and the Robust Median Covariance Matrix
    • Citation: 9
  • Impact of Internal Governance on a CEO’s Investment Cycle
    • Citation: 6
  • The impact of external business environment on corporate social responsibility: Theoretical implications and empirical evidence
    • Citation: 3
  • CEO turnover, stakeholder management, and dynamics between corporate social responsibility and firm performance
    • Citation: 2
  • Attunement theory, CEO’s cyclical influence on corporate social responsibility and firm value
    • Citation: 2

Assoc. Prof. Dr. Hui Zhang | Artificial Intelligence | Industry Achievement Award

Assoc. Prof. Dr. Hui Zhang | Artificial Intelligence | Industry Achievement Award

Assoc. Prof. Dr. Hui Zhang, Guizhou University of Finance and Economics, China

Hui Zhang is a distinguished senior engineer and associate professor at the School of Information, Guizhou University of Finance and Economics, China. With a Ph.D. in Computational Mathematics from Guizhou Normal University, Zhang has a diverse background spanning both academia and industry. His expertise ranges from computational mathematics to big data and cloud computing, having held prominent roles in R&D departments in China’s tech industry. Additionally, Zhang has served as a reviewer for prestigious journals, contributed to key projects, and holds multiple patents in data science and technology. His ongoing research and professional services make him a well-recognized expert in his field.

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Summary of Suitability for the Research for Industry Achievement Award

Dr. Hui Zhang demonstrates a unique combination of academic and industrial achievements, making him a strong candidate for the Research for Industry Achievement Award. His background in computational mathematics and computer science, coupled with his experience in R&D and leadership roles in the big data industry, aligns well with the award’s focus on impactful industrial contributions.

🎓    Education

Hui Zhang completed his Bachelor’s in Information and Computational Science from Guizhou Normal University in 2010, alongside a Bachelor’s in English Education. He pursued a Master’s in Computational Mathematics at the same institution from 2010 to 2013. Hui continued his academic journey by earning a Ph.D. in Computational Mathematics, focusing on innovative computational methods. His educational experience highlights a strong foundation in both mathematics and interdisciplinary learning, setting the stage for his research and teaching career at Guizhou University of Finance and Economics.

💼   Experience

Hui Zhang’s career includes a range of positions in both academia and industry. After completing his master’s degree, he worked as a Business Manager at the Postal Savings Bank of China. He then transitioned to academic research while pursuing his Ph.D., contributing to key projects at the Guizhou Key Laboratory of Information and Computing Science. In industry, Zhang served as a Senior R&D Engineer and later General Manager of the R&D Department at Guizhou-Cloud Big Data Industry Development Co. Since 2022, he has been an associate professor at Guizhou University of Finance and Economics and a postdoctoral researcher, continuing to innovate in computer science and data science fields.

🏅  Awards and Honors

Hui Zhang’s numerous recognitions include being a Review Expert for multiple academic and governmental bodies, such as the Guizhou Provincial Department of Science and Technology. His technical contributions have earned him industry accolades, and he was invited to join the Big Data Expert Committee of the China Computer Federation. Zhang has also been honored as an Industrial Mentor in Guizhou Province and contributed as an expert reviewer for the prestigious Alexandria Engineering Journal. His expertise in computational mathematics and data science has made him a sought-after advisor and collaborator.

🌍  Research Focus

Hui Zhang’s research focuses on computational mathematics, big data, and information systems, particularly in developing algorithms and systems for data processing and analysis. He has worked extensively on Pulsar Data Processing, contributing to the design and implementation of comparative analysis and visualization systems. His research extends into numerical analysis, with a focus on finite element methods for solving complex mathematical problems. Zhang’s interdisciplinary approach combines theoretical mathematics with practical applications in data science, making significant advances in these fields.

📖 Publication Top Notes

  1. Generalized picture fuzzy Frank aggregation operators and their applications
  2. A second-order accurate and unconditionally energy stable numerical scheme for nonlinear sine-Gordon equation
  3. Asymmetrical interactions driven by strategic persistence effectively alleviate social dilemmas
  4. A Certificateless Verifiable Bilinear Pair-Free Conjunctive Keyword Search Encryption Scheme for IoMT
  5. Deformations and Extensions of Modified λ-Differential 3-Lie Algebras