Prof. Dr. Jaime Iván López Veyna is a distinguished computer scientist whose research focuses on search engines, keyword search, big data, and data analytics, with notable contributions to web mining, natural language processing (NLP), and the semantic web. His scholarly work demonstrates a strong interdisciplinary approach, integrating artificial intelligence and data science to address societal and technological challenges such as cybercrime detection, cyberbullying prevention, and public health analytics. Prof. Dr. Jaime Iván López Veyna has developed intelligent systems for detecting harmful online behaviors, leveraging big data analytics and NLP to enhance digital safety and understanding of internet communication. His publications also explore the intersection of data representation, machine learning, and human-computer interaction, with applications extending to mHealth technologies and educational contexts. In recent years, he has applied machine learning models to predict health outcomes and psychological conditions, such as COVID-19 recovery patterns and postpartum depression, underscoring his commitment to socially impactful computational research. Recognized by Mexico’s National System of Researchers (SNI) and the Programa para el Desarrollo Profesional Docente for his academic excellence, Prof. Dr. Jaime Iván López Veyna has contributed extensively to the advancement of intelligent systems and semantic technologies. His body of work, published in reputable journals and conferences, reflects a deep engagement with emerging challenges in information retrieval, web intelligence, and data-driven decision-making, positioning him as a leading figure in applied computational research in Mexico and the global research community.
Profiles: Scopus | Orcid | Google Scholar
Featured Publication
Lopez-Veyna, J. I. (2020). Intelligent system for detection of cybercrime vocabulary on websites. DYNA, 95(5), 1–8.
Lopez-Veyna, J. I. (2020). Internet data analysis methodology for cyberterrorism vocabulary detection, combining techniques of big data analytics, NLP and semantic web. International Journal on Semantic Web and Information Systems, 16(1), 45–63.
Lopez-Veyna, J. I. (2019). Helping students detecting cyberbullying vocabulary in Internet with web mining techniques. 2019 International Conference on Inclusive Technologies and Education (CONTIE), 1–5.
Lopez-Veyna, J. I. (2018). Analyzing typical mobile gestures in mHealth applications for users with Down syndrome. Mobile Information Systems, 2018, 1–10.
Lopez-Veyna, J. I. (2017). Combinación de técnicas de Big Data Analytics y Web Semántica para la detección de vocabulario de acoso escolar en Internet. DYNA Ingeniería e Industria, 92(3), 1–7.