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

Postdoc in Computer & Information Science

2019 - 2022
University of Pennsylvania

Ph.D. in Mechanical Engineering

2015 - 2019
Michigan Technological University

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.

M.S. in Biomedical Engineering

2012 - 2015
Chongqing University
  • 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.

B.S. in Biomedical Engineering

2008 - 2012
Tianjin University
  • Development of medical devices.
  • Data analysis and images processing with MATLAB.

Experiences

Research Associate

July 2019 - Present
Michigan Technological University, Houghton, MI
  • 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.

Teaching Assistant

Sept. 2017 - Dec. 2018
Michigan Technological University, Houghton, MI

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

June 2017
Michigan Technological University, Houghton, MI

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.

Research Assistant

Aug. 2015 - Aug. 2017
Michigan Technological University, Houghton, MI

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.

SEEP Water Tank Project - An initial project about applying AI techniques to infrastructure components such as geo-systems.
  • 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.
System-on-Cloth: A Cloud Manufacturing Framework for Embroidered Wearable Electronics - To establish a cloud-based manufacturing framework for embroidered wearable electronics as an accessible platform technology towards System-on-Cloth.
  • 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.
Understanding and Mitigating Triboelectric Artifacts in Wearable Electronics by Synergic Approaches - To understand the fundamental mechanism of triboelectric artifacts in wearable devices and provide synergistic solutions to mitigating the artifacts.
  • 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

[1] An SSHI interface for triboelectric energy harvesting
Xian Li, Ye Sun
IEEE Transactions on Power Electronics, 2019
[3] A wearable system for situational awareness estimation in underground mines
Xian Li, Ye Sun, Zhen Liu, Matthew Portfleet
2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
[6] Design and evaluation of a non-contact wireless biopotential monitoring system with motion artifacts
Xian Li, Ye Sun
2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)
[7] NCMB-Button: A wearable non-contact system for long-term multiple biopotential monitoring
Xian Li, Ye Sun
2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
[9] TriboWalk: Triboelectric dual functional wireless system for gait monitoring and energy harvesting
Xian Li, Hui Huang, Ye Sun
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
[10] A triboelectric motion sensor in wearable body sensor network for human activity recognition
Hui Huang, Xian Li, Ye Sun
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
[11] Investigation of motion artifacts for biopotential measurement in wearable devices
Xian Li, Hui Huang, Ye Sun
2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
[12] A novel device based on a fluorescent cross-responsive sensor array for detecting lung cancer related volatile organic compounds
Jin-can Lei, Chang-jun Hou, Dan-qun Huo, Xiao-gang Luo, Ming-ze Bao, Xian Li, Mei Yang, Huan-bao Fa
Review of Scientific Instruments, 2015

Awards & Honors

Dean’s Award for Outstanding Scholarship, 2019
Recognizing demonstrated academic or professional qualities that set them apart within their academic program. (< 1%)
Michigan Technological University
Doctoral Finishing Fellowship Award, 2019
Recognizing outstanding PhD candidates who are in need of financial support to finish their degrees and are also contributing to the attainment of goals outlined in The Michigan Tech Plan.
Michigan Technological University
NSF Student Attendance Scholarship, 2018
Recognizing students who have a strong academic background and shown research interests in the field of connected health, as demonstrated by coursework and/or project experience.
National Science Foundation (NSF)
NSF Student Attendance Scholarship, 2017
Recognizing students who have a strong academic background and shown research interests in the field of connected health, as demonstrated by coursework and/or project experience.
National Science Foundation (NSF)
Teaching Assistantships (GTA), 2017 & 2018
Involve working to assist faculty with teaching (GTA) or being fully responsible for teaching a course (GTI).
Michigan Technological University
Research Assistantships (GA), 2015 & 2016 & 2017
Involve working to support research on a specific externally funded grant or contract (GRA) or an internally funded project (GA).
Michigan Technological University

Service

Peer Reviewer
  • IEEE Sensors Journal 2016 - present
  • IEEE Biomedical and Health Informatics (BHI) and the Body Sensor Networks (BSN) Conference 2018
  • GeoShanghai International Conference 2018
Community Service
  • Facilitator of Graduate School for the orientation of department of Mechanical Engineering-Engineering Mechanics 2017

Skills & Proficiency

Python

C

C++

MATLAB

Solidworks

AutoCAD

Labview

Altair AMESim (i.e. Hydraulics Simulation)

Altair MotionView

Altair 3D FEA

Altair Inspire

Autodesk EAGLE

FlexPDE

HTML5 & CSS

MongoDB

SQL

PHP

Git

Raspberry Pi

Arduino

Microsoft Office (Word, Excel, PowerPoint, etc.)