How a Control Engineer Approaches Neuroscience
Real-time closed-loop BCI architecture combining neuroscience and control engineering
Featured Research Projects
Cutting-edge neurotechnology research at the intersection of AI, neuroscience, and control engineering
Last Moment Change of Mind
Hardware-synchronized closed-loop EMG-EEG BCI system for detecting and responding to last-moment decision changes. Features sub-millisecond precision timing, real-time EMG onset detection, and adaptive response gating.
P300 BCI Robotic Control
Novel control algorithm for a 2-DoF robotic arm using P300-based brain-computer interface with 97% recognition accuracy. Real-time EEG processing enables precise robotic movement control.
Prosody-on-Demand
AI-driven audio-neural interface that transforms speech into memorable formats using real-time EEG feedback. 40%+ memory improvement in clinical studies.
Agency-Safe HMIs
Establishing ethical timing thresholds for BCIs to preserve human sense of agency, autonomy, and legal responsibility in ultra-fast systems.
Multi-Modal BCI Platform
Real-time closed-loop system integrating EEG, ECG, and EMG for sensorimotor decision-making. Latency-optimized architecture with SIL/HIL validation.
Decoding Human Agency: Exploring the 'Point of No Return' through a real-time EEG-based Brain-Computer Interface experiment.
Real-time EEG experiment probing decision thresholds and the neural signatures of the 'point of no return'. Methods, stimuli, and analysis code will be published here.
Heart-Brain Interaction via a ECG-EEG-based realtime BCI experiemnt: How heart affects the Brain in learning
ECG-EEG real-time investigations into cardiac phase effects on learning and neural processing. Data, experiment code, and measurement protocols will be posted here.
Building Brain-Computer Interfaces
Research scientist specializing in real-time ML on biosignals (EEG/EMG/ECG) and neural interfaces that enhance human capabilities
