Machine Learning: Kernel Methods, Large Margin Estimation, Predicting Structured Outputs, Probabilistic Graphical Models, Unsupervised Learning

Computer Vision: Human Pose Estimation and Action Recognition, Object Detection and Recognition, Image Representation and Feature Extraction

Applied Mathematics: Convex Optimization, Harmonic Analysis, Sparse Representation, Matrix Optimization