Mónica F. Bugallo

 
 
 


  1. • Bayesian estimation and Monte Carlo methods

  2. • Adaptive Importance Sampling

  3. • Particle filtering

  4. • Cost-reference particle filtering

  5. • Population Monte Carlo

  6. • Monte Carlo methods for high dimensional complex systems

  7. • Improvement of Monte Carlo methods by biology-inspired ideas

  8. • Robustness of Monte Carlo-based methods

  9. • Application to communications, positioning, navigation and tracking, and sensor networks


  11. •Signal processing for biology

  12. •Modeling, simulation and prediction of the evolution of cancer stem cells

  13. •Fast simulation of biochemical networks


  1. •Signal processing methods for monitoring radiation, detection of cosmic rays and analysis of flux measurements.


  1. •Engineering education research related to strategies to enhance diversity, engaging underrepresented students, teachers/counselors, and faculty in engineering.