I am a Teaching Assistant in Data Science at City, University of London for modules such as Machine Learning, Principles of Data Science, Visual Analytics, Neural Computing, Computer Vision and Big Data.
In my research I work on speech separation problems using CNN and Capsule Networks.
My current main interest is employing deep reinforcement learning approaches for NLP problems as well as applying Minimum Hyperspherical Energy (MHE) for neural networks to improve their generalisation ability in various applications.
Staines, T.; Weyde, T. and Galkin, O. "Monaural Speech Separation with Deep Learning Using Phase Modelling and Capsule Networks", 27th European Signal Processing Conference (EUSIPCO 2019), A Coruña, Spain
Perez-Lapillo, J.; Galkin, O and Weyde, T. "Improving Singing Voice Separation With The Wave-U-Net Using Minimum Hyperspherical Energy" (submitted), 45th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, Barcelona, Spain