Prof. Dr. Haiyan Wang | Statistics | Best Researcher Award

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Prof. Dr. Haiyan Wang | Statistics | Best Researcher Award

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

  • Title: New two-sample tests for skewed populations and their connection to theoretical power of Bootstrap-t test

 

Mr. Shuaikang Chang | thermal | Best Researcher Award

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Mr. Shuaikang Chang | thermal | Best Researcher Award

Mr. Shuaikang Chang, CHONGQING UNIVERSITY, China

Shuaikang Chang is a dedicated Ph.D. candidate at Chongqing University, China, specializing in Safety Science and Engineering. His research focuses on the transformative potential of ultra-high-pressure abrasive waterjet machining, particularly its application for thermosensitive and hard-to-machine materials. With a strong foundation in Safety Engineering from his undergraduate studies, Chang has contributed significantly to the field through his pioneering research on the thermal deformation mechanisms in abrasive waterjet machining. He has actively participated in national and special technology innovation grants, where his work addresses advanced engineering solutions for challenging machining processes. Chang’s research collaborations with fellow experts have yielded insights into the thermal effects, cycling mechanisms, and microstructural transformations associated with machining titanium alloys, enhancing their applicability across industries.

Professional Profile

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Summary of Suitability for the Research for Best Researcher Award

Shuaikang Chang’s focused research, early contributions through publication, and engagement in high-impact projects position him as a competitive candidate for the Research for Best Researcher Award. His work aligns with the award’s objective to honor outstanding research contributions and innovation, making him a strong contender for this recognition.

🎓 Education

Shuaikang Chang is currently pursuing his Ph.D. in Safety Science & Engineering through an integrated Master’s and Ph.D. program at Chongqing University. He completed his Bachelor of Engineering (BEng) in Safety Engineering at the same institution, where he developed a solid grounding in engineering principles and safety protocols. During his postgraduate studies, Chang has been associated with the School of Resources and Safety Engineering, Chongqing University. His academic journey reflects a progressive focus on machining technologies and material safety, driven by an interdisciplinary approach. Chang’s coursework and practical experience have centered on the innovative application of waterjet machining, supported by his participation in specialized research projects and high-impact studies that push the boundaries of conventional engineering. He has skillfully leveraged academic resources to deepen his expertise, aligning with his aspiration to create safer and more effective industrial solutions.

💼  Experience 

Shuaikang Chang has been an active postgraduate researcher at the School of Resources and Safety Engineering, Chongqing University, since 2021. His experience primarily revolves around developing advanced abrasive waterjet machining techniques tailored for complex materials. Chang’s research evaluates ultra-high-pressure abrasive waterjets for thermosensitive and hard-to-machine materials, focusing on thermal cycling mechanisms and deformation behaviors. His expertise also extends to cryogenic techniques, investigating the effects of liquid nitrogen-assisted waterjet machining on material properties. Throughout his studies, he has contributed to multiple high-profile research grants, including a National Natural Science Foundation of China project that examined rock fracturing mechanisms using flash boiling liquid carbon dioxide jets. Chang’s insights have informed safer, more efficient machining processes, as evidenced by his publications in respected journals. His work reflects both technical rigor and a commitment to advancing machining technology for industrial applications.

🏅  Awards and Honors

Shuaikang Chang has received recognition for his contributions to engineering and safety science. His achievements include awards related to his pioneering research on abrasive waterjet machining, where he has advanced the understanding of thermal effects and deformation mechanisms on complex materials. Through his involvement in significant research grants from the National Natural Science Foundation of China and the Special Key Project for Technological Innovation in Chongqing, Chang has demonstrated excellence in both academic and applied research settings. His work has been acknowledged for its impact on the field of high-pressure waterjet technology, earning him the esteem of his peers and supervisors. Chang continues to receive commendations for his studies on material properties and safety protocols in machining processes, solidifying his reputation as a leading researcher within his field.

🌍  Research Focus 

Shuaikang Chang’s research focuses on the development and application of ultra-high-pressure abrasive waterjet machining for materials that are traditionally difficult to process. His work investigates the thermal deformation and material property changes induced by high-pressure jet technology, with a particular emphasis on thermosensitive alloys like Ti-6Al-4V. Chang’s research explores how varying jet pressures and the introduction of liquid nitrogen affect the microstructure and macro-properties of materials, aiming to extend the applicability of this machining technology. His studies on the deformation mechanisms and thermal cycling behaviors have the potential to influence several industries by improving safety, efficiency, and material integrity in manufacturing processes. Chang’s research is backed by notable grants, including projects under the National Natural Science Foundation of China, allowing him to push the boundaries of abrasive machining for broader, innovative applications.

📖 Publications Top Notes

Title: Thermal effects and deformation mechanisms in abrasive waterjet machining: insights from Ti-6Al-4V alloy for broader applications

 

Prof. Yankuo Qiao | Finance | Best Researcher Award

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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.

Professional Profile

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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

kelig mahe | fisheries research | Research Excellence Award

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Dr kelig mahe | fisheries research | Research Excellence Award

Dr.kelig mahe, Ifremer, France

Dr. Kélig MAHE is a leading researcher at IFREMER, specializing in marine science, particularly in the fields of sclerochronology and fisheries. Since 2021, he has been the head of the Halieutiques Manche-Mer du Nord Unit, overseeing numerous national and European projects related to fish age estimation and stock management. Dr. MAHE’s expertise spans biological data coordination, fish age determination workshops, and the development of TNPC software. He has co-supervised 11 PhD students and 12 master’s students, contributing significantly to scientific innovation, as demonstrated by his 2010 award for scientific and technological innovation at IFREMER. His contributions extend internationally, with leadership in numerous European research collaborations.

Professinal Profile

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    Education 

    Dr. Kélig MAHE’s academic journey is rooted in marine and environmental sciences. He earned his PhD in Marine Biology from Université du Littoral Côte d’Opale (ULCO) in 2019, focusing on fisheries and environmental ecosystems. Prior to this, he completed his Diplôme d’Etudes Approfondies (DEA) in Coastal and Littoral Ecosystem Dynamics from ULCO in 2002. Dr. MAHE’s foundational knowledge in marine resource management was shaped during his engineering studies at the prestigious Ecole Nationale Supérieure d’Agronomie de Rennes (ENSAR), where he graduated with a specialization in Halieutics in 2003. His multidisciplinary education also includes a Maîtrise des Sciences et Techniques in Environmental Sciences from the University of Rouen, completed in 2001, providing him with a well-rounded scientific background in both marine biology and environmental management.

    Experience 

    Dr. MAHE Kélig has an extensive research career at IFREMER, where he has been actively engaged since 2007. His role evolved from a research cadre to leading the Halieutiques Manche-Mer du Nord Unit in 2021. His vast experience includes coordinating national biological data, managing research programs on fish age estimation, and providing expert advice on stock management. His involvement in European research projects is extensive, including leadership positions in projects like Med-Units, Sumaris, and Microtolithe. Dr. MAHE has also represented IFREMER in international workshops and played a pivotal role in advancing sclerochronology, both through research and the development of TNPC software. His management experience includes overseeing teams and mentoring students, making significant contributions to both scientific research and talent development.

    Awards and Honors 

    Dr. MAHE Kélig’s distinguished contributions to marine science have earned him notable recognition. In 2010, he was awarded the IFREMER Trophée de l’innovation for his pioneering work in scientific, technical, and technological fields. His leadership and contributions have made a global impact, notably in European research collaborations, where he co-chaired 13 international workshops and participated in 4 European working groups. His expertise in sclerochronology has positioned him as an expert for IFREMER in international fora. Dr. MAHE’s influence extends to organizing international symposia, such as the 6th International Symposium on Biological Shape Analysis in 2019. His collaborative spirit and innovative work have consistently advanced marine research, particularly in fisheries biology, earning him respect and recognition within the global scientific community.

    Research Focus

    Dr. MAHE Kélig’s research centers on sclerochronology, the study of calcified structures in fish, to improve age determination methods and enhance fisheries management. His work plays a critical role in understanding fish population dynamics and the impacts of environmental changes, such as temperature fluctuations and CO2 levels, on marine species. Dr. MAHE has been at the forefront of integrating modern technologies in fisheries research, particularly through his contributions to the TNPC software for processing calcified structures. His research also extends to interdisciplinary collaborations, where he has led and participated in numerous European projects, focusing on sustainable fishery practices, species population structures, and biogeographical studies. His commitment to research excellence is evidenced by his active role in advancing knowledge in otolith morphogenesis, age determination, and stock management, all of which are pivotal for sustainable marine resource management.

     Publications Top Notes

    1. 🐟 Asymmetry of Sagittal Otolith Shape in Mediterranean Red Mullet: Comparative Analysis of 2D and 3D Otolith Shape Data (2023).
    2. 🌊 Effect of Temperature and CO2 on Morphogenesis of Sagittal Otoliths in Atlantic Herring (2023).
    3. 📊 Spatial Structuring of Demersal Fish Around Réunion Island Based on Otolith Shape (2023).
    4. 🧬 New Scale Analyses Reveal Centenarian African Coelacanths (2021).
    5. 🐠 Complementarity and Discriminatory Power of Genotype and Otolith Shape in Eastern English Channel Sole (2020).