Graphic representing 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


Photo of David Allstot

David Allstot
Analog, mixed-signal, and radio frequency integrated circuits and systems

Photo of Larry Cheng

Larry Cheng
Micro- / nano-fluidics; biomedical devices; electronic devices; functional materials; nanofabrication

Photo of John Conley

John F. Conley, Jr.
Thin film materials and devices; atomic layer deposition; MIM devices; TFTs; reliability; structure of electrically active point defects; directed assembly & device applications of nanomaterials

Photo of Pallavi Dhagat

Pallavi Dhagat
3D printed magnetic materials and devices; biomedical imaging and sensing using magnetic nanoparticles; novel data storage and signal processing devices based on interactions between acoustic waves and spin waves; advanced measurements techniques for magnetic materials

Photo of David Hendrix

David Hendrix
Motif finding; non-coding RNA structure & function analysis; apps of machine learning to computational biology; deep sequencing data analysis

Photo of Liang Huang

Liang Huang
Natural language processing, including parsing and translation; structured machine learning; computational structural biology (RNA and protein folding); deep learning

Photo of Albrecht Jander

Albrecht Jander
Magnetoresistive magnetic sensors and applications; semiconductor spintronics; magnetic resonance force microscopy; magnetic MEMS

Photo of Matt Johnston

Matt Johnston
Biosensor and bioelectronic platforms; massively-parallel sensing; lab-on-chip technologies for medical monitoring and point-of-care diagnostics

Photo of V John Mathews

V John Mathews
Adaptation & learning; nonlinear signal processing; application of signal & information processing to neural engineering & biomedical applications, structural health monitoring, audio & communication systems

Photo of Raviv Raich

Raviv Raich
Adaptive sensing/sampling; manifold learning; sparse representations for signal processing

Photo of Stephen Ramsey

Stephen Ramsey
Machine learning; computational systems biology; bioinformatics; integrative computational methods to map gene regulatory networks

Photo of Tom Weller

Tom Weller
Reconfigurable microwave circuits; microwave applications of additive manufacturing and 3D printing; electromagnetic sensors; microwave circuit and antenna design; equivalent circuit modeling