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.
Professional Profile
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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.
Publications Top Notes
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Title: New two-sample tests for skewed populations and their connection to theoretical power of Bootstrap-t test