Career Profile
Ph.D. in mechanical engineering, with solid background of biomedical engineering and electrical engineering, with strong communication skills developed from classroom teaching experience and attending academic conferences, and strong writing skills developed from publishing journals articles and conferences papers.
Expertise in system development in general and particularly of wireless medical devices, also in dynamic and control systems.
Education
Dissertation: A Hybrid-Powered Wireless System for Multiple Biopotential Monitoring.
- Design and develop a wireless wearable system for biopotential monitoring.
- Develop a triboelectric energy harvester for harvesting energy from human motion.
- Investigate the fundamental mechanism of triboelectric artifacts in biopotential monitoring.
- Design and develop instruments for lung cancer VOCs.
- Analyze images data and process images information with MATLAB.
- Design and fabricate data acquisition system for ECG signals.
- Development of medical devices.
- Data analysis and images processing with MATLAB.
Experiences
- Design and conduct the experiments to test the motion artifacts on fabric materials.
- Test the machine learning methods (i.e. DNNs) for the personalized stress intervention project.
Prepared the guideline of practice sessions; guided students using the simulation tools; supervised and led the hand-on sessions; graded the assignments and team projects; provided the feedback to the instructor team.
- Mechanical Engineering Practice III for undergraduate students.
- Apply the engineering design process by combing engineering science with simulation tools to guide design decisions;
- Tools: Solidworks, AMESim, MotionView, 3D FEA, Inspire, etc.;
Co-Instructor for Summer Youth Programs in Michigan Tech.
- This program is a division of the Center for Pre-College Outreach at Michigan Technological University.
- Diversity: Over 1,000 students from diverse background.
Worked on NSF projects related to internet of things, wireless wearable electronics, and cloud manufacturing.
- Designed and developed a wireless wearable system for biopotential monitoring.
- Designed and developed an slider-crank system which equipped function of distance detection, acceleration monitoring, and energy harvesting, for scientific experiments.
Projects
Projects in the following fields: Wireless Sensor Networks; Health Monitoring; Internet of Things; Machine Learning; Python; MATLAB; Cloud Manufacturing; Triboelectric Energy Harvesting; Signal Acquisition; Wearable Systems; Mechanical System Design and etc.
- Build the water tank, located the sensors, and enable the tank functioning properly;
- Build the MySQL database to store the sensor data;
- Initialize the machine learning method by proposing a preliminary solution based on the existing TensorFlow or PyTorch framework;
- Control the system with a Raspberry Pi 3B+ and build the web service based on Flask with Python.
- Design the wearable electrical system for health monitoring;
- Find solutions to embroider the entire wearable system on the fabric cloth;
- Develop the cloud manufacturing framework featured online design, ordering and manufacturing.
- Design and develop a wireless wearable system for biopotential monitoring;
- Develop a triboelectric energy harvester for harvesting energy from human motion;
- Investigate the fundamental mechanism of triboelectric artifacts in biopotential monitoring.
Publications
Awards & Honors
Service
- IEEE Sensors Journal 2016 - present
- IEEE Biomedical and Health Informatics (BHI) and the Body Sensor Networks (BSN) Conference 2018
- GeoShanghai International Conference 2018
- Facilitator of Graduate School for the orientation of department of Mechanical Engineering-Engineering Mechanics 2017