Mr. Víctor Pablo Prado Sánchez | Engineering and Technology | Research Excellence Award
Universidad de Alcalá | Spain
Víctor Pablo Prado-Sánchez is an emerging researcher in the field of information science and artificial intelligence, with a particular focus on the application of large language models to content classification and digital security challenges. According to Scopus records, the author has published 3 scholarly documents, which have received 6 citations, resulting in an h-index of 1, reflecting early but growing academic impact. The research profile demonstrates a solid educational foundation in computing and information-related disciplines, complemented by academic experience in research-driven environments. Professional experience centers on empirical and methodological studies involving natural language processing, zero-shot learning, and the analysis of illicit online ecosystems, particularly within dark web contexts. Research interests include artificial intelligence ethics, automated content moderation, GPT-based modeling, cybersecurity, and data-driven decision support systems. Published work in a high-quality international journal highlights the ability to address complex societal and technological problems using advanced AI techniques. While no major competitive awards or funded grants are currently reported in Scopus, the publication trajectory indicates strong potential for future recognition. Overall, the researcher represents a promising contributor to AI-driven information processing research, with increasing visibility and relevance in the study of intelligent systems for digital risk detection and analysis.
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Featured Publications
Classifying Illegal Activities on Tor Network Based on Web Textual Contents
Structure and Content of the Visible Darknet
Shedding New Light on the Language of the Dark Web
DarkBERT: A Language Model for the Dark Side of the Internet
Illicit Dark Web Classification via Natural Language Processing