- DARPA tFUS Closed‑Loop Sleep Modulation
- NASA Ventilatory Threshold GUI Tools
- Neural Prosthetics Projects
- 3.1 Peripheral Nerve Signal Analysis
- 3.2 EMG Signal Analysis
- 3.3 Longitudinal EEG-MI Plasticity
- 3.4 Evaluating the Impact of Inhibitory rTMS on Source-Localized BCI Training for Motor Imagery
- EEG Seizure Detection GUI
- Kaggle Liver Cirrhosis Prediction (3rd Place)
- Brain Pong BCI & Leadership
- Additional Neurotech Platforms
- Grant Writing Experience
- Digital Art & Multimedia
Developed Deep Learning Algorithm & Pipeline for High‑density EEG + wearable tFUS for real‑time sleep staging & stimulation.
Automated VT detection in MATLAB/R, cutting manual analysis by 97%.
32 kHz PSD filtering & MAV/VAR feature extraction for 4‑class classification.
Band‑pass/Notch filtering + MAV/ZCR features & run‑wise LDA/RF decoding.
448‑dim PSD scalograms, Fisher scoring, and motor‑imagery learning trends.
inhibitory rTMS, Riemannian Decoder, Source Localization, Motor Imagery BCI, Feature Analysis
LSTM/CNN/XGBoost pipelines (90.5% acc, AUC 0.96) + real‑time Tkinter demo.
Imputation, domain‑informed feature engineering, Optuna‑tuned XGBoost ensemble.
Initiated & developed OpenBCI real‑time ping‑pong, co‑founder of 200+ member Longhorn Neurotech.
As President of Neurotech Scholars Foundation (NTSF), Lead Outreach, Business Partnership, Collaboration with: Neuralink/Microsoft BCI/Paradromics/AFRl/NASA Neuro/Neurable/Phantom Neuro/Rice NT/UW/ICL/UPenn and others.
Research Experience in EOG/EMG/EEG (hydrogel, bio‑adhesive, E‑tattoo, in‑ear), SEM, 3 T fMRI, tFUS, rTMS, Neurable Device
PI on NASA “NeuroFlight” VR‑EEG GUI platform; authored NIH R01 Aim 3.1 (HMM‑driven tFUS).
Solo photo exhibit; OpenCV & P5.js web artworks; Ethereum‑NFT deployments.
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