ROBT 407
Machine Learning with Applications
Supervised and unsupervised learning, neural networks, deep learning, kernels and experiment design using Python-based ML tools.
Teaching
Courses & learning
Research-informed courses combining mathematical foundations, modern machine learning and hands-on neurotechnology.
ROBT 613
Brain-Machine Interfaces
Invasive and non-invasive BMI systems, neural signal processing, machine learning and hands-on demonstrations with assistive and robotic interfaces.
ROBT 206
Microcontrollers with Lab
Digital logic, computer system design, microcontroller programming and laboratory work with FPGA and embedded hardware.
Learning resources
Open workshop materials
Public workshop resources supporting practical work in brain–computer interfaces and contemporary AI.
Open-weight language models
LLM Open-Weight Workshop
Practical materials for working with open-weight large language models, from local setup to applied AI workflows.
Brain–machine intelligence
BMI Workshop
Hands-on notebooks covering P300, motor imagery, SSVEP, signal processing, and machine-learning methods with MNE-Python.
Student projects
Microcontroller final projects
Selected final projects from ROBT 206: Microcontrollers with Lab.