Alfredo Ferrer Marco

Centre: BIFI
Institution: University of Zaragoza, Zaragoza (Spain)
Position: Technical and research staff hired by BIFI
E-mail: aferrer@bifi.es
Phone: 876 555411
Profile:  Ver  

Personal statement
I graduated in Computer Engineering from the University of Zaragoza. Since 2009, I have been part of BIFI, where I have worked in the development of game theory simulation platforms, analytics and visualization of scientific production data, as well as in the extraction, transformation and analysis of social networks using complex network techniques. In addition, I have participated in the development of Artificial Intelligence models based on Deep Learning for resource forecasting and optimization. All this within the framework of R+D+i projects and technology transfer within the area of computation. In 2014, I participated along with other members of BIFI, of the spin-off company Kampal Data Solutions with which I continue to collaborate.

Researcher profile identity
Currently, I am an R2 level researcher. My main lines of research focus on the analysis of complex networks generated both in academic environments and in social networks, and on the development of artificial intelligence models through supervised learning. In the field of network analysis, my work focuses on the calculation and visualization of metrics and graphs in the field of scientific production on the one hand, as well as detection of communities of interest, relevant nodes and propagation of information in social networks.  On the other hand, in artificial intelligence, the work I do focuses mainly on the development of models in the business sector, for process optimization, classification, categorization, event forecasting and LLM generative language models. 

Why my research is important
As a researcher in the field of complex network analysis and artificial intelligence, I contribute to the generation of new ideas and tools by developing advanced models for process optimization, pattern detection and event forecasting. My work in social networks and scientific production has allowed me to visualize key metrics, identify communities of interest and analyze the propagation of information.

From the applied point of view, these methodologies have been implemented in R&D and technology transfer projects, benefiting both the academic and business sectors. In particular, my contributions in artificial intelligence have facilitated data-driven decision making, improving efficiency in sectors such as business management and network analytics.

The impact of my research translates into tools that optimize resources, promote innovation and allow a better understanding of social and scientific dynamics.

Know more about me and my research
– https://bifi.es/es/computacion/