Elias Ribeiro is a psychologist and researcher with a Master’s degree in Natural Sciences, focused on Science Education and Neuroeducation. He also holds postgraduate training in Neuropsychology and Cognitive-Behavioral Therapy, and a bachelor's degree in Psychology from ISECENSA.

His work lies at the intersection of neuroscience, learning, attention, and artificial intelligence. He investigates how cognitive processes—particularly executive functions, attention systems, language-related mechanisms, and neurodevelopmental factors—influence academic performance and learning outcomes. Elias develops and evaluates digital and psychometric tools designed to study attentional models (sustained, selective, divided, and alternating attention) and their relationship with motivation, engagement, and performance.

He is the creator of iGnosi, a psychometric system used to analyze attentional behavior in experimental contexts, and Samantha, an LLM-based tool integrated with iGnosi to generate insights and explore predictive modeling of student engagement and performance. His broader research interest lies in the potential of AI-driven approaches to enhance research workflows, support cognitive assessment, and strengthen executive function training.

Elias has been recognized for his contributions to digital tools in education and neuroeducation research. He received:

• 2nd place in the oral presentation session for Graduate Research (Axis 3: Education, Social Inequality Reduction, and Social Justice) at the IX Congresso Fluminense de Pós-Graduação;
  
  

• Honorable Mention in the Bioethics and Education thematic area with the work Digital and AI Tools for Attention and Academic Performance Analysis: The Case of iGnosi and Samantha.
  
  

He is also the author of the peer-reviewed article “Samantha: AI Applied to the Study of the Relationship Between Attention and Learning”, published in RIAE (2024).

Elias aims to pursue doctoral research integrating neuroscience, cognitive assessment, AI-based methods, and technology-enhanced learning, especially within interdisciplinary environments that explore educational innovation, neurodevelopment, and computational approaches to human cognition.