Research

• Stereoscopic Vision Algorithm

  Laboratory for Image & Video Engineering — Dr. Alan Bovik

  Real-time disparity mapping using an ultralight region-based CNN and census transform. 4x faster than anything on the KITTI dataset (2019). Open source. USAF and USN awards.

• SCB & Embedded System Security via Advanced Logic Gate Configurations

  Laboratory for Image & Video Engineering — Dr. Jennifer Dworak

  Designed methods to prevent hardware access to SCBs and embedded systems using LSFRs and LSIBs. Selected as one of 45 students across Texas to research at SMU.

• Plasmonic Gold Nanoparticle-Mediated Hyperthermia for Targeted Oncology

  NASCENT Nanosystems Engineering, UT Austin — Dr. Steve Bruek

  Investigated next-gen targeted cancer therapy using gold nanoparticle drug delivery systems to eradicate malignant cells without affecting normal tissue.

• Gaia Glove

  IoT system to prevent myocardial damage from hypoxemia, ACS, and atrial fibrillation. 3-lead ECG with medical-grade accuracy at under $1/unit. TensorFlow signal processing for fibrillation detection.

• CNN for Exercise Efficacy Tracking

  Skeleton pose approximation neural network using OpenCV and OpenPose estimation. Collaborated with two PhD students on real-time form correction in gym environments.

• Mind Controlled Robot

  Enabling paralyzed individuals to remobilize independently via EEG signal processing. Converted electroencephalography data into precise robotic movements.

• IoT Pillbox

  Defensive publication. Medical adherence device using IBM Watson IoT, MQTT, and Flask to alert users via call, text, email, and audio to take medications.