Dr. Foteini Kyriazi
Assistant Professor of Quantitative and Mathematical Methods in the Department of Agribusiness and Supply Chain Management at the Agricultural University of Athens, Greece
Dr. Foteini Kyriazi
LinkedIn Profile: https://www.linkedin.com/in/d r-foteini-kyriazi-717aa676/

Assistant Professor
Professional Summary
Dr. Kyriazi Foteini is an Assistant Professor of Quantitative and Mathematical Methods in the Department of Agribusiness and Supply Chain Management at the Agricultural University of Athens, Greece. Additionally, she is a Visiting Professor at the National and Kapodistrian University of Athens (NKUA), Department of Business Administration. She has served for several years as Director at OPEKEPE, the only EU-certified organization in Greece responsible for agricultural subsidies. Her current research interests focus on forecasting and time series analysis, quantitative investment strategies and statistical and probabilistic inference in decision making. She has published articles in international peer-reviewed journals included in the ABS list, such as Annals of Operations Research, International Journal of Forecasting, IMA Journal of Management Mathematics, Cogent Economics & Finance, among others. She has also contributed to books and collective volumes and has extensive experience in research projects.
My research explores the methodology of predictive models and quantitative methods, with a focus on prediction theory and the dynamics of simplicity versus complexity. This dual approach—balancing theoretical foundations with practical applications—finds a strong ally in Artificial Intelligence (AI). Machine learning algorithms, capable of analyzing intricate data while maintaining flexibility, are redefining the boundaries between simple and complex predictive systems.
Simultaneously, AI is transforming the workplace by automating repetitive tasks and creating new opportunities that demand critical thinking. However, its rapid development raises ethical questions, from data privacy to algorithmic transparency. In the future, AI will enhance fields like healthcare and education, but the true challenge will lie in striking a harmony between technological progress and human values.

Values: Foundations in Interdisciplinary Excellence
Our laboratory is rooted in the synergy between cybernetics-the science of communication and control in systems-and artificial intelligence. We uphold:

Mission: Advancing Intelligent Systems for Societal Good
Our laboratory exists to pioneer innovations that harmonize theoretical depth with real-world impact.

Vision: A Future of Symbiotic Intelligence
We envision a world where AI and cybernetic systems empower humanity to tackle existential challenges while preserving dignity and diversity.