Cagri Ozcaglar
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Research

My research interests broadly include:
  • Data Mining
  • Data Fusion
  • Machine Learning
  • Multiway Analysis
  • Bioinformatics
  • Population Biology
  • Social Network Analysis
  • Disease Spread Modeling

I worked on the following projects:

  • TB-Insight
    • TCF: Tensor Clustering Framework using Multiple-Biomarker Tensors
    • UBF: Unified Biclustering Framework for host-pathogen association analysis of tuberculosis patients
    • TB-Vis: Visualization - spoligoforests and host-pathogen maps
    • Epidemiological models of M. tuberculosis complex infections
  • Topic Clustering
    • Enron email classification using Latent Dirichlet Allocation
  • MetPetDB
    • MetPetDB: A database for Metamorphic Petrology

My current and future research projects include:

  • DIQB: Density-invariant quasi-bicustering
  • Discovering document clusters and topics via graphical structure: A case study of Enron
  • Non-deterministic tensor decomposition
  • Disease spread modeling via online social networks