Sol Lim
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Assistant Professor of Systems and Industrial Engineering
Sol Lim is an assistant professor of Systems and Industrial Engineering at the University of Arizona. Her 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 daily lives, occupational settings, and constructed environments for diverse populations.
Degrees
- Ph.D. Industrial and Operations Engineering
- University of Michigan, Ann Arbor, Michigan, United States
- Combining wearable sensing and predictive modeling for biomechanical exposure assessment in specific material handling tasks.
- M.S. Biomedical Engineering
- University of Michigan, Ann Arbor, Michigan, United States
- M.S. Industrial Engineering
- Seoul National University, Seoul, Korea, Republic of
- B.S. Clothing and Textiles
- Yonsei University, Seoul, Korea, Republic of
Work Experience
- Systems and Industrial Engineering, University of Arizona (2019 - Ongoing)
Interests
Research
Ergonomics & Human factors, wearable technology, predictive modeling, occupational health & safety, healthcare ergonomics, biomechanics in disability and inclusive design
Licensure & Certification
- Graduate Certificate in Data Science, Michigan Institute for Data Science (MIDAS) (2018)
Selected Publications
Journals/Publications
- Lim, S., & D'Souza, C. (2020). A Narrative Review on Contemporary and Emerging Uses of Inertial Sensing in Occupational Ergonomics. International Journal of Industrial Ergonomics, 76. doi:https://doi.org/10.1016/j.ergon.2020.102937
- Lim, S., & D'Souza, C. (2019). Statistical prediction of load carriage mode and magnitude from inertial sensor derived gait kinematics. Applied Ergonomics, 76, 1-11. doi:https://doi.org/10.1016/j.apergo.2018.11.007
Proceedings Publications
- Lim, S., & D'Souza, C. (2019, October). Gender and Parity in Statistical Prediction of Anterior Carry Hand-Loads from Inertial Sensor Data. In 63rd Annual Meeting of the Human Factors and Ergonomics Society (HFES).
- Lim, S., & D’Souza, C. (2018). Inertial Sensor-based Measurement of Thoracic-Pelvic Coordination Predicts Hand-Load Levels in Two-handed Anterior Carry. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 62.
- Lim, S., Luo, Y., Ebert, S., Jones, M. L., Varban, O., & D’Souza, C. (2018). Preliminary Study of Obstacle Clearance and Compensatory Movements in Individuals with High Body Mass Index. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 62.
- Lim, S., & D'Souza, C. (2017, October). Statistical Prediction of Hand Force Exertion Levels in a Simulated Push Task using Posture Kinematics. In Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual Meeting, 61, 1031-1035.
- Lim, S., Case, A., & D'Souza, C. (2016, September). Comparative Analysis of Inertial Sensor to Optical Motion Capture System Performance in Push-Pull Exertion Postures. In Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual Meeting, 60, 970-974.
- Lim, S. I., Woo, J. C., Bahn, S., & Nam, C. S. (2012). The effects of individuals’ mood state and personality trait on the cognitive processing of emotional stimuli. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 56.
Awards
- Best Student Paper Award
- Occupational Ergonomics Technical Group at Human Factors and Ergonomics Society (HFES), Fall 2019