Xiyuan Liu

Assistant Teaching Professor
Dean’s Faculty Fellow for Academic Affairs

Mechanical and Aerospace Engineering

359 Link Hall

xliu127@syr.edu

315.443.1733

Degrees

  • Ph.D. Mechanical Engineering, Michigan State University
  • M.S. Mechanical Engineering, Clemson University, USA
  • B.S. Electrical Engineering and Automation, Hefei University of Technology, China

Areas of Expertise:

  • Microfluidics
  • Point of care diagnosis
  • Wearable biosensor

Xiyuan specializes in microfluidics, point-of-care diagnosis and flexible wearable biosensor development. Specifically, her work focuses on developing biosensing, lab-on-a-chip systems for the emerging applications in clinical diagnosis, wearable sensing and mobile heath (mHeath) technology.

Honors

  • Council of Graduate Student (COGS) Conference Reward, 2017
  • MSUFCU Award of Research Translation in Engineering Graduate Research Symposium, 2016
  • Recognition for Outstanding Research in Engineering Graduate Research Symposium, 2016
  • Annals of Biomedical Engineering Award – Most Downloaded Article, 2015

Selected Publications:

  • A. Kowalczewski, C.M. Sakolish, P. Hoang, X. Liu, S. Jacquir, I. Rusyn, Z, Ma. Integration of nonlinear analysis and machine learning for human iPSC-based drug cardiotoxicity testing. (2022) Journal of Tissue Engineering and Regenerative Medicine, 16(8): 732-743.
  • X. Liu. Introducing Data Analytics into Mechanical Engineering Curriculum. Proceedings of American Society for Engineering Education 2022 Annual Conference and Exposition, Minneapolis, MN, 2022.
  • X. Liu. Implementation of interactive technology tools to improve students’ active learning and engagement in MATLAB programming. Extended Abstract of ASEE conference St. Lawrence section Annual Conference, Syracuse, NY, 2022
  • X. Liu and P.B. Lillehoj. Embroidered electrochemical sensors on gauze for rapid quantification of wound biomarkers. (2017) Biosensor and Bioelectronics, 98: 189-194.
  • X. Liu and P.B. Lillehoj. Embroidered electrochemical sensor for biomolecular detection. (2016) Lab on a Chip, 16:2093-98