My research combines principles from human factors and ergonomics (HF/E) and data analytics to develop new methods that can be used to improve human performance and well-being in occupational settings and constructed environments for diverse populations.
Functional capabilities in humans are very diverse and are affected differently by environmental circumstances and the demands of tasks. Lack of design consideration for the diversity in human functional capabilities leads to an increase in the prevalence of work-related injuries, and even limits certain vulnerable populations, such as persons with mobility impairments, from accessing environments and services (e.g., public transportation). My research focuses on assessing human movement and performance by combining functional biomechanics, wearable sensing technologies, and data analytics in a range of environmental contexts.
ANNOUNCEMENT: I am currently recruiting highly motived Ph.D. students (including financial support) with research interests in human factors and ergonomics, wearable sensors, and smart & connected healthcare system.
I am also looking for exceptional undergraduate students and master students to work with. Students typically start with a research credit (SIE 492) and continue on as paid-research assistants depending on their interest and satisfactory work performance.
If you are interested, please complete this SURVEY and send me an email (lims@email.arizona.edu).
Ph.D. in Industrial and Operations Engineering, 2019
University of Michigan, Ann Arbor
Graduate Certificate in Data Science, 2018
Michigan Institute for Data Science, University of Michigan, Ann Arbor
M.S. in Biomedical Engineering, 2015
University of Michigan, Ann Arbor
M.S. in Industrial Engineering, 2011
Seoul National University, Seoul, Korea
B.S. in Clothing and Textiles, 2009
Yonsei University, Seoul, Korea
Assessment tool that estimates the physical workload of workers exposed to different work conditions using wearable inertial sensor-derived data by Task and Intensity Classification
Investigation on quantitative metrics to assess dynamic balance of individuals with high BMI during one leg standing
How to measure user performance that can be used to operationalize accessibility and usability of mobility impaired users while riding public transit buses?