Health Engineering


The health engineering group conducts research on systems, devices, and data analysis for a variety of health related applications. The group develops new bio-sensors, imaging techniques, wireless medical devices, and bio-materials via state-of-the-art research in advanced fabrication, nanomaterials, electronics, and magnetics. Another research emphasis is signal processing and machine learning for neural prosthetic interfaces and other medical applications. The group also studies advanced computational techniques for bio-informatics and computational biology with the goal of enhancing our understanding of health and disease.

Sub Areas

  • Bio Sensors and Materials
  • Bioinformatics and Computational Biology
  • Neural Engineering
  • Health Diagnostics
  • Precision Health

Related Courses

  • ECE 599 Bioelectronic Systems and Devices
  • ECE 560 Stochastic Signals & Systems
  • ECE 564 Digital Signal Processing
  • ECE 468/CS 519: Digital Image Processing
  • ECE 599 Biosensors & Med Devices
  • BB 585: Applied Bioinformatics
  • CS 534: Machine Learning
  • CS 546: Networks in Computational Biology
  • CS 519: Data Exploration and Analytics
  • CS 519: Algorithms for Computational Molecular Biology