Research:Interests & Expertise

My interests mainly lie in the broad areas of Machine Learning, Pattern Recognition & Detection and Data Mining. A more detailed list of topics that I have either worked on and/or I am currently pursuing is given below. For additional information please visit my Publications. Finally, in my area I usually teach a course in Pattern Recognition & Detection (ECE5258) and another course on the theory of Artificial Neural Networks (ECE5268).

Machine Learning

  • Learning Algorithms
  • Swarm Intelligence
  • Population-based evolution of ML models
  • Kernel Methods

Pattern Recognition

  • Artificial Neural Networks
  • Support Vector Machines
  • Decision Trees

Data Mining

  • Feature/Dimensionality Reduction
  • Outlier Detection
  • Data Visualization

Additionally, over the years I have developed technical expertise in the following areas:

Information Processing

  • Digital Signal Processing
  • Time Series Analysis
  • Digital Image Processing

Optimization & Learning

  • Classic Numerical Optimization
  • Reinforcement Learning
  • Evolutionary Algorithms
  • Simulated Annealing
  • Particle Swarm Optimization

Modeling

  • Artificial Neural Networks
  • Support Vector Models
  • Pattern Recognition & Detection
  • Clustering
  • Regression & Black-Box Modeling
  • Time Series Modeling & Forecasting