Arratia Quesada, Argimiro Alejandro

Argimiro Alejandro Arratia Quesada is a Professor at the Universitat Politècnica de Catalunya-BarcelonaTech (UPC), affiliated with the IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Group and the SOCO - Soft Computing sub-group. He works in the Department of Computer Science under the College of Industrial, Aerospace and Audiovisual Engineering (ESEIAAT).

• Research Interests: Time series analysis, machine learning, descriptive computational complexity, and financial engineering.
• Projects: Developed the clustAnalytics R package for network clustering assessment, contributed to Bayesian modeling of pandemic data, and designed entropy-based portfolio optimization techniques.
• Conference Participation: Actively involved in the International Conference on Time Series and Forecasting (2021-2023) and the Catalan Association for Artificial Intelligence conferences.

Scientific Output Trends: Recent publications span finance (portfolio optimization, cryptocurrency forecasting), epidemiology (Covid-19 burden estimation), network science (clustering evaluation), and mathematical finance. Methodologies emphasize statistical inference, entropy optimization, and machine learning.