Interests in applied mathematics

  • Dimension reduction techniques

  • Orthogonal projections and Grassmannian manifolds

  • Image segmentation (2D and higher dimensional images)

  • Feature extraction with traditional image processing methods

  • Variational methods and energy minimization in image processing

  • Supervised and unsupervised learning algorithms

  • Shallow and deep (convolutional) neural networks

Interests in biomedical imaging

  • Image analysis of optical coherence tomography (OCT) volumes

  • Retinal fluid classification and quantification

  • Disease identification