The start of Intelligent Sensing Lab includes three key areas:
1. Machine design (flexible electronics printer and medical device);
2. Control (Sensing, metrology, pattern analysis, feedback control)
3. Machine intelligence (Machine vision, image processing, deep learning)
We use eye-tracking approaches to analyze how physicians and nurses interact with health information technology. We are able to see what information they pay attention to, and ignore, as they make clinical decisions or complete processes. These findings can be used to guide the redesign of electronic health record systems and related technologies. Read More...
Our research applies and integrates fundamental engineering principles, such as manufacturing, biomechanics, materials science, and micro/nanoengineering, to understand and harness the mechanobiology of stem cells for modeling currently incurable human diseases and for applications in regenerative medicine. Current research interests include: