Taras-Svitozar Kucherenko

Ph.D. in Machine Learning for Robotics. Currently with emphasis on deep learning. My main research interest is in making robots behave in a human-like way, including understanding our emotions and conveying appropriate emotions in response. At the moment (September 2017), I am working on the MoCap missing marker problem and hand-over animation.

Student-assistant at I6 department : Human Language Technology and Pattern Recognition Group : I am building a system for Unsupervised Learning for Handwritten Recognition. Using HMM as the basic model and EM as the main training method.

Tutor of all types of math (such as High Math, Calculus, Probability theory, Statistics, Algebra, Trigonometry and many others) and programming (C++, C, Java, Python, Fortran and OOP). I have been teaching students being from 10 to 36 y/o.

Student assistant, for CATS : Computational Analysis of Technical Systems : I was programming a converter for geometrical objects from a format of a program Rhino ( .tsm) into a T-spline format.

Deep Learning for modeling and executing human non-verbal social behavior on different robots

Machine Learning, Handwritten Recognition

Cryptography