vgeny’s research interests encompass the areas of regression based on Gaussian processes and kernel methods for multi-fidelity surrogate modeling and optimization, Deep Learning for 3D Data Analysis and manifold learning, on-line sequence learning for prediction and non-parametric anomaly detection. The main aim is development of new machine learning methods and their use for solution of applied engineering problems.