Hui Fang - Neuroscience - Best Researcher Award

Guangdong University of Finance - China

Professional Profiles:

Scopus

Early Academic Pursuits

Hui Fang's academic journey is rooted in a commitment to excellence, marked by her birth in October 1983. With a passion for knowledge, she ventured into the academic realm, laying the groundwork for a prolific career. Her early academic pursuits paved the way for a Doctorate in Management, an achievement that laid the foundation for her contributions to the field.

Professional Endeavors

As an Associate Professor and Master Tutor at Guangdong University of Finance, Hui Fang's professional endeavors extend beyond the confines of traditional academia. She holds distinguished positions in esteemed organizations such as the Neuromanagement and Neuroengineering Branch of China Society of Management Science and Engineering, the Neuroeconomic Management Professional Committee of China Society of Technical Economics, and the Guangdong Provincial Association of Entrepreneur Leadership Science. Her role as a member of these prestigious bodies signifies her active involvement in shaping the landscape of management, bridging the gap between theory and practical application.

Contributions and Research Focus

With a wealth of experience in enterprise management consulting, Hui Fang excels in constructing and implementing management systems. Her expertise encompasses enterprise performance management, talent assessment, and employee help plans. Beyond these applications, she has devoted significant efforts to researching employee motivation and mental health. Hui Fang's distinctive approach involves the use of cutting-edge technologies such as EEG and eye tracking, combined with diverse research methods. Her research portfolio boasts nearly 20 published academic papers in prominent domestic and foreign journals, including Motivation and Emotion, Personality and Individual Differences, and Neuroscience Letters.

Accolades and Recognition

Hui Fang's contributions have not gone unnoticed, earning her accolades and recognition in the academic and professional spheres. Her active participation in organizations like the Neuromanagement and Neuroengineering Branch and the Neuroeconomic Management Professional Committee attests to her standing as a respected figure in her field.

Impact and Influence

Hui Fang's impact extends beyond her roles in academic and professional organizations. Her work in enterprise management consulting, employee motivation, and mental health has practical implications for various industries. By actively participating in projects such as the National Natural Science Foundation Youth Project and Guangzhou Philosophy and Social Science Planning Project, she has positioned herself as an influential force in shaping research and practice.

Legacy and Future Contributions

As an Associate Professor and Master Tutor, Hui Fang is already leaving a lasting legacy at Guangdong University of Finance. Her contributions to research, teaching, and industry collaboration showcase a commitment to excellence. The projects she has led, the papers she has published, and the organizations she is affiliated with collectively contribute to the legacy she is building.

Future Contributions Highlight

Looking forward, Hui Fang's future contributions are poised to further elevate her impact. With a solid foundation in management and a focus on emerging technologies, she may continue to pioneer innovative approaches to employee well-being, performance management, and talent assessment. As a Master Tutor, her influence on the next generation of scholars and practitioners is paramount, ensuring a continued legacy of excellence in the academic and professional realms.

Notable Publications

A surprising source of self-motivation: Prior competence frustration strengthens one’s motivation to win in another competence 2018

Multimedia based fast face recognition algorithm of speed up robust features 2019

Trapped in the woods: High performance goal orientation impedes competence restoration 2019

Being eager to prove oneself: U-shaped relationship between competence frustration and intrinsic motivation in another activity 2017

Early Academic Pursuits:

Tahmineh Azizi's academic journey is a testament to her unwavering commitment to mathematics and computational biology. Graduating with a Master's degree in Applied Mathematics from Isfahan University of Technology in 2013, she later pursued a Ph.D. in Applied Mathematics at Kansas State University, completing her studies in August 2021.

Professional Endeavors:

Azizi's professional trajectory has been marked by significant roles in prestigious institutions. As a Research Associate at the University of Wisconsin-Madison, she contributes to the Department of Biostatistics and Medical Informatics in the School of Medicine and Public Health. Prior to this, she served as a Post-Doctoral Scholar and Research Scientist at Florida State University, specializing in Aero-Propulsion, Mechatronics, and Energy.

Contributions and Research Focus:

Azizi's research spans diverse domains, showcasing her versatility in mathematics and biology. Her expertise includes brain segmentation, computational anatomy, optimal transport, Bayesian regression analysis, computational neuroscience, multiscale modeling, uncertainty quantification, and more. Her doctoral dissertation, "Mathematical modeling with applications in biological systems, physiology, and neuroscience," reflects the depth of her contributions.

Teaching Experience:

Beyond her research, Azizi has excelled in teaching, offering courses such as "Renewable Energy IoT for Big Data" and "Intelligent Energy Digital Business." Her commitment to education aligns with her broader goal of nurturing the next generation of professionals in mathematics and computational biology.

Accolades and Recognition:

Azizi's outstanding contributions have earned her recognition on both national and international platforms. Notably, she received the NSF-supported project Award, contributing significantly to topology, partial differential equations, and applications to network security and biology in 2020. Her recent accolades, including the "Best Researcher Award" in various international research awards, underscore her impact.

Impact and Influence:

As a distinguished researcher, Azizi's influence extends beyond her direct contributions. Her work in neural systems, mathematics, and optimization methods has earned her grants from prestigious organizations like NSF. Her effectiveness in online teaching is currently under investigation, showcasing her commitment to enhancing educational practices.