734-647-1766

Applications:
Bioinformatics, Computer Vision, Healthcare Management and Outcomes, Human Subjects Trials and Intervention Studies, Sensors and Sensor Networks
Methodologies:
Bayesian Methods, Data Collection Design, Data Quality, Decision Science, Machine Learning

Albert Shih

Professor

Mechanical Engineering


Affiliation(s):

Biomedical Engineering

My research is focused on the human biometric data (such as motion) to guide the design and manufacturing of assistive and proactive devices. Embedded and external sensors generate ample data which require scientific approaches to analyze and create knowledge. I have worked closely with the University of Michigan Orthotics and Prosthetics Center in the design and manufacturing of custom assistive devices using 3D-printing and cyber-based design. The goal is to create a cyber-physical system that can acquire the data from scanning, sensors, human motion, user feedback, clinician diagnosis into quantitative health metrics and guidelines to improve the quality of care for people with needs.