Address the most pressing challenges in biology and medicine from an engineering perspective. Maintain health and prevent disease by monitoring changes in patient state and intervening before the onset of disease. When diseases occur, provide regulated treatment based on patient response rather than on a predetermined therapeutic strategy.
An engineering approach to health
Subareas
Experimental and computational bioengineering
Integrate bioengineering and computational modeling to create synergistic approaches to new discoveries in health care. Address health research based on both experimental tests and computational and theoretical techniques.
Nanomedicine
Integrate experimental and computational nanotechnological methods to engineer drug-delivery vectors, sensors, and imaging devices using nanoscale materials. Focus on dynamic nanoscale constructs and miniaturization methods to design responsive/adaptive platforms for next-generation biomedical tools.
Data-driven modeling and machine learning
Work on technologies to help counter malicious attacks on embedded systems, with in nearly all electronic devices. The benefit of these technologies include: reliability, anti-counterfeiting, and anti-tamper, and hardware security.
Imaging and signal processing
Build better signal processing systems. Focus on human health and physiological signals, such as the nervous system’s regulation of peripheral physiological processes, behavior and movement, audio signal processing, and other real-time signal processing applications.
Device design and fabrication
Define the next generation of personalized health devices designed for a particular patient’s genetic and biological profile. Build wearables, sensors, and other devices that provide the patient with the right treatment at the right time.
Assistive robotics
Develop robotic systems (robot agents, prostheses, or orthoses) to facilitate physical therapy and rehabilitation, to assist people living with physical disabilities or neurological disorders, and to enhance human performance in specialized tasks.
Associated centers, groups, and labs
- Bondesson Lab
- Fibers and Additive Manufacturing Enabled Systems (FAMES) Lab
- Garyfallidis Research Group and Medical Imaging Laboratory
- MathCancer Lab
- Signals and Artificial Intelligence Group in Engineering