Probability and Random Processes Applied in Computer Science and Engineering
       

• Probabilistic Analysis of Algorithms

• Randomized  Algorithms (RA)

• Theoretical models of Evolutionary Algorithms (EA) usingrandom dynamical systems:
• Iterated Random Functions
• Markov chains
• Stochastic differential equations
• Random Iterated Neural Networks (RINN)
  

• Hidden Markov Models (HMMs)

• Applications of EA, RINN, RA, and HMMs in
• Computational biology
• Financial engineering
• Image processing
• Speech recognition
  

• Simulation

Other Interests:

• Combinatoria probabilistica
• Sistemas dinámicos
  
• Teoría Ergódica