Overview
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
Faculty
David Allstot
Analog, mixed-signal, and radio frequency integrated circuits and systems
Larry Cheng
Micro- / nano-fluidics; biomedical devices; electronic devices; functional materials; nanofabrication
Patrick Chiang
Energy-efficient VLSI systems (on/off chip interconnects; robust, near-threshhold computing); power-constrained, wireless medical electronics
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
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
David Hendrix
Motif finding; non-coding RNA structure & function analysis; apps of machine learning to computational biology; deep sequencing data analysis
Liang Huang
Natural language processing, including parsing and translation; structured machine learning; computational structural biology (RNA and protein folding); deep learning
Albrecht Jander
Magnetoresistive magnetic sensors and applications; semiconductor spintronics; magnetic resonance force microscopy; magnetic MEMS
Matt Johnston
Biosensor and bioelectronic platforms; massively-parallel sensing; lab-on-chip technologies for medical monitoring and point-of-care diagnostics
V John Mathews
Adaptation & learning; nonlinear signal processing; application of signal & information processing to neural engineering & biomedical applications, structural health monitoring, audio & communication systems
Raviv Raich
Adaptive sensing/sampling; manifold learning; sparse representations for signal processing
Stephen Ramsey
Machine learning; computational systems biology; bioinformatics; integrative computational methods to map gene regulatory networks
Tom Weller
Reconfigurable microwave circuits; microwave applications of additive manufacturing and 3D printing; electromagnetic sensors; microwave circuit and antenna design; equivalent circuit modeling
OREGON STATE UNIVERSITY
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