Rubén Pérez Chacón

Rubén Pérez Chacón is an Assistant Professor in the Department of Languages and Information Systems at the School of Engineering, Universidad Pablo de Olavide, Spain. He also works as a postdoctoral researcher in the Data Science and Big Data Lab while leading an IT team in the public sector with over 10 years of experience.

• Education: Master’s in Information Security (Autonomous University of Barcelona, 2014); Ph.D. in Computer Science (Universidad Pablo de Olavide, 2021).

His research focuses on data mining and machine learning techniques for time series forecasting in big data environments, particularly in electricity consumption analysis. Recent work includes the development of the Pattern Sequence-Based Algorithm (2024) and MV-kWNN (2019).

Key trends in his publications (2016–2025) highlight advancements in multivariate time series forecasting, bioinspired metaheuristics (e.g., Coronavirus Optimization Algorithm), and distributed computing frameworks like Spark for smart city energy analytics.

He contributes to interdisciplinary projects such as Big Time, EasyM2M, and IA2GIP, integrating data science into practical applications.