My MSc Research focuses on Adaptive Signal Processing for Biomedical and Neural Systems. The project generally consists of some fundamental parts which are:
- Segmentation Strategy
- FFT
- Characterisation of time dependency in the EMG and EEG data sets
- Kalman Filter
- Optimal spectral tracking
- Alternative Approaches
PhD is mainly based on:
- Machine Learning
- Reinforcement Learning
- Q-Learning
- Bio-Inspired Spiking Neural Networks(Hippocampus-Inspired)
- Synaptic Transmission
- Spike Timing Dependent Plasticity
- Maze Platforms & Micromouse
