Unimelb BSci CV
Brain Computer Interface enthusiast
Po is an electrical systems graduate pursuing an honours in neural engineering with an interest in rehabilitation; specifically Brain Computer Interfaces. In combination with robotics he aspires to integrate machine learning and neuroscience to improve the quality of life for people who suffer from cognitive and neuromuscular disorders.
Outside of my role in the Student Science Squad, I mentor for In2science, hoping to show students that studying STEM is an opportunity to aspire to, not an obstacle to avoid.
UPDATE
I have finally finished my Brain Computer Interface Controller Code! Please check it out below
under "Real Time Motor Imagery Classification"
🔥🔥🔥I've also had the wonderful opportunity to lead a Brain Computer Interface project! We are focussing on BCI spellers and BCI driven wheelchairs that are all solely controlled through thought and gaze tracking, click on the purple and green icon for more info🔥🔥
❤️Also had a paper accepted into EMBC2022❤️
(I promise they're interesting)
Deep Learning
Tensorflow
Sklearn
Basic Computer Vision
Fusion360 for CAD design
KiCAD for PCB design
PCB / circuit assembly
Signal processing
Machine learning
Feature extraction
G.tec EEG recording software & hardware
Microcontrollers
Basic sensor systems
Python3
MATLAB
C/C++
Front end web dev
Some stuff I've documented because I had time - ask me about my other ones!
Deep Learning Specialisation
Signal Processing
Neuroscience
Machine Learning
BCI + gaze tracking wheel chair
BCI P300 speller
Circadian rhythm + sleep parameters in brain health
Statistics
High Performance Computing
R, Bash & Python
Multi-model ICM+ data curation
Physiological signal processing & analysis
Automatic artefact correction
GUI for simulink heart model
Traumatic Brain Injury (TBI) treatment protocol
Paper accepted into EMBC2022!
Quantify Error Related Potentials and integration with SSVEP
G.tec Encephalogram operation
Design and execution of experimental protocol