Gabriel Alves

Gabriel Alves is a Brazilian computer science researcher affiliated with the University of Pernambuco and collaborating with institutions like Federal Higher Education Institutions and Pontifical Catholic University of Minas Gerais. His work focuses on performability evaluation, stochastic modeling, and learning analytics, particularly applied to education technology and transport logistics systems.

• Research Interests: Performability analysis, stochastic modeling, learning analytics, cyber-physical systems, cloud computing, and green supply chain optimization
• Key Contributions: Development of Tutoria platform for educational feedback, performability models for BRT systems, and frameworks for AI-driven instructor support tools

His publications span journals like IEEE Transactions on Learning Technology and conferences including SMC and EC-TEL, with recent work exploring natural language processing for educational assessment.

Current collaborations include researchers from Chile (Dragan Gasevic), Brazil (Rafael Ferreira Mello, Paulo Maciel), and Portugal (Taciana Falcão).