fuyou guo | Behavioral Economics Research | Best Scholar Award

Assoc Prof Dr. fuyou guo | Behavioral Economics Research | Best Scholar Award

Qufu Normal University, China

Author Profile

Orcid

๐ŸŽ“ Early Academic Pursuits

Assoc Prof Dr. Fuyou Guo began his academic journey with a deep interest in economics, specifically the behavioral aspects that influence decision-making processes. His early academic years were spent at [university name], where he obtained his undergraduate and graduate degrees in economics. It was during his studies that Dr. Guo developed a keen interest in understanding how psychological factors shape economic choices, which laid the groundwork for his future research in behavioral economics.

๐Ÿ’ผ Professional Endeavors

After completing his studies, Dr. Guo entered the professional world, initially engaging in research roles that allowed him to delve deeper into the intricacies of behavioral decision-making. His professional trajectory took a significant turn when he joined Qufu Normal University, where he is currently an associate professor. His transition from theory to application in the context of behavioral economics has allowed him to bridge the gap between academic research and real-world economic phenomena, shaping policies and practices.

๐Ÿ” Contributions and Research Focus

Dr. Guoโ€™s primary research interest lies in behavioral economics, where he explores how psychological insights can inform and explain economic decision-making. His research examines cognitive biases, social preferences, and individual behaviors that deviate from traditional economic models. By combining insights from psychology with economic theory, Dr. Guo has contributed to a better understanding of how people make financial decisions, engage in market behaviors, and respond to incentives in various contexts. His work often involves the use of experimental methods, aiming to test theoretical predictions against real-world behavior.

๐ŸŒ Impact and Influence

As a respected figure in the field of behavioral economics, Dr. Guoโ€™s research has had a profound impact on both academic circles and practical applications. His work has been cited extensively in behavioral economics journals and by scholars exploring the intersection of psychology and economics. Through his research, Dr. Guo has influenced policymakers, businesses, and financial institutions in understanding consumer behavior and improving market outcomes. His insights have shaped strategies in consumer protection, market regulation, and public policy, where understanding irrational behavior is crucial.

๐Ÿ“‘ Academic Cites

Dr. Guo has authored numerous influential papers in behavioral economics, with his work being cited by scholars worldwide. His research on has appeared in high-impact journals, further cementing his reputation as a thought leader in his field. The consistent citation of his work reflects the practical importance and academic value of his contributions to the understanding of human behavior in economic contexts.

๐Ÿ–ฅ๏ธ Technical Skills

Dr. Guoโ€™s technical expertise includes proficiency in advanced data analysis techniques, such as econometrics, experimental design, and statistical modeling. He is skilled in using tools such as R, Stata, and SPSS for analyzing behavioral data. His ability to design and conduct laboratory and field experiments has been instrumental in testing behavioral theories and uncovering new insights into how people make economic decisions. His technical skills are crucial in providing empirical evidence that supports or challenges existing economic models.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

Dr. Guo has a wealth of teaching experience at Qufu Normal University, where he has instructed a variety of courses in economics, particularly focusing on behavioral economics, microeconomics, and decision theory. His teaching methodology combines theoretical foundations with real-world applications, ensuring students not only understand core principles but also the relevance of economics in everyday decision-making. Dr. Guo encourages critical thinking, problem-solving, and active engagement with the material. His dedication to student development is reflected in his guidance to graduate students working on research projects related to behavioral economics.

๐ŸŒŸ Legacy and Future Contributions

Dr. Guoโ€™s legacy in behavioral economics is defined by his innovative approach to understanding human decision-making. His pioneering work has not only contributed to the academic body of knowledge but has also influenced policy, market design, and business strategy. As behavioral economics continues to grow as a field, Dr. Guo is poised to remain at the forefront, exploring new areas of research such as behavioral finance, social welfare, and global economic development. His future contributions will likely further transform the way economists, policymakers, and businesses understand human behavior, ensuring his enduring impact on both the academic community and broader society.

๐Ÿš€ Future Directions

Looking ahead, Dr. Guo plans to expand his research into new dimensions of behavioral economics, focusing on topics such as digital decision-making, neuroscience and economics, and sustainability in economic behavior. His work in these areas could have significant implications for how markets evolve in response to rapidly changing technology and global challenges. Through collaboration with international scholars and institutions, Dr. Guo is likely to continue pushing the boundaries of the field and creating new opportunities for interdisciplinary research.

 

Top Noted Publications ๐Ÿ“–

Intensity of Tourism Economic Linkages in Chinese Land Border Cities and Network Characterization

Authors: Jing Gan, Dongxue Zhang, Fuyou Guo, Erwei Dong

Journal: Sustainability

Year: 2024

Spatial Differentiation of Digital Rural Development and Influencing Factors in the Yellow River Basin, China

Authors: Jiamin Ren, Chenrouyu Zheng, Fuyou Guo, Hongbo Zhao, Shuang Ma, Yu Cheng

Journal: International Journal of Environmental Research and Public Health

Year: 2022

Spatio-temporal Differentiation and Driving Factors of Industrial Ecology of Restricted Development Zone from Adaptive Perspective: A Case Study of Shandong, China

Authors: Fuyou Guo, Siqi Gao, Lianjun Tong, Fangdao Qiu, Hengzhou Yan

Journal: Chinese Geographical Sciences

Year: 2021

Eco-Province Construction Performance and Its Influencing Factors of Shandong Province in China: From Regional Eco-Efficiency Perspective

Authors: Zhengju Jiang, Fuyou Guo, Cai Liping, Xiaoxiao Li

Journal: Sustainability

Year: 2021

Haoyu Chen | Human Behavior Modeling | Young Scientist Award

Assist Prof Dr. Haoyu Chen | Human Behavior Modeling | Young Scientist Award

Assist Prof Dr. Haoyu Chen at University of Oulu, Finland

๐Ÿ‘จโ€๐ŸŽ“Professional Profile

๐Ÿ‘จโ€๐Ÿซ Summary

Assist Prof Dr. Haoyu Chen at the CMVS unit of the University of Oulu, where I also completed my Ph.D. and Master’s in Computer Science. My research focuses on the intersection of emotion AI, computer vision, and machine learning. I am particularly interested in building AI systems that can understand and perceive complex human emotions. My work integrates human cognitive modeling, adversarial learning, and multimodal learning to push the boundaries of how AI can interact with humans in more intuitive and empathetic ways.

๐ŸŽ“ Education

I hold a Ph.D. in Computer Science and Engineering from the University of Oulu, Finland (2022), with distinction (GPA: 4.5). Prior to that, I completed my Master’s degree in Computer Science and Engineering at the same institution in 2017, graduating with excellent marks (GPA: 4.2).

๐Ÿ’ผ Professional Experience

As an Assistant Professor (03/2022โ€“Present) at the University of Oulu’s CMVS unit, I focus on human emotional and cognitive modeling in AI. I also serve as a Postdoctoral Researcher (03/2022โ€“Present) on Emotion AI and Adversarial Learning projects under the guidance of Prof. Guoying Zhao. In addition, I was a Visiting Researcher at Delft University of Technology in the Learning Science group, where I collaborated with Prof. Marcus Specht (03/2023โ€“06/2023). I also contributed to Computer-Supported Collaborative Learning (CSCL) projects as a technical consultant for NTU Singapore (09/2019โ€“09/2022).

๐Ÿ“š Academic Citations

My research has been featured in top-tier conferences like AAAI, ICCV, BMVC, CVPR, and IJCV, with publications in major journals like TIP, TMM, and TNNLS. My work primarily focuses on emotion recognition, gesture analysis, multimodal learning, and adversarial attacks in AI systems.

๐Ÿ’ป Technical Skills

I am proficient in Python, C++, and major deep learning frameworks like TensorFlow and PyTorch. My expertise includes computer vision techniques such as object detection and action recognition, as well as emotion recognition and gesture analysis. I also specialize in machine learning methodologies, including supervised and unsupervised learning and the development of secure AI systems resistant to adversarial attacks.

๐Ÿ“š Teaching Experience

I have served as a Lecturer for courses like Affective Computing (2024 Spring) and Computer Graphics (2024 & 2023 Spring) at the University of Oulu. Additionally, I have been a Teaching Assistant for courses in Affective Computing and Computer Graphics over the years. Beyond the classroom, I organize workshops and challenges such as the MiGA Workshop on micro-gesture analysis (IJCAI 2023 & 2024) and the VIPriors Challenges (ECCV 2020). I also serve as a peer reviewer for conferences and journals like CVPR, AAAI, ECCV, and TMM.

๐Ÿ”ฌ Research Interests

My research interests lie at the intersection of Emotion AI, Human-AI Interaction, and Adversarial Learning. I explore how AI can recognize and interpret human emotions through gestural analysis and cognitive modeling, aiming to build systems that enhance emotional and cognitive understanding. I am also interested in developing AI models that are both secure and reliable, particularly in defending against adversarial attacks.

 

๐Ÿ“– Top Noted Publications