Paulo's professional page

Academic Interests

Academic life-long topics

  • Stochastic Models, Performance Evaluation and Behavior Forecasting
  • Analytical, Numerical and Simulation Methods to solve Stochastic Models
  • Recently acquired topics

  • Machine Learning, Information Retrieval and Natural Language Processing - Algorithms and Applications
  • Software Engineering – Modeling and Metrics, Statistical Software Testing and Global Software Engineering
  • Basic topics

  • Tensor Algebra
  • Theoretical Aspects of Computer Science
  • Applied Discrete Mathematics

  • "To improve is to change;
    to be perfect is to change often."
    Winston Churchil.