Rachel Jones
Lecturer
Charles V. Schaefer, Jr. School of Engineering and Science
Department of Biomedical Engineering
Edwin A. Stevens Hall 411
Education
- PhD (2022) The University of Texas at Dallas (Biomedical Engineering)
- BS (2017) Wichita State University (Biomedical Engineering)
Research
Dr. Jones's research is in the field of biomechanics. Past projects have involved musculoskeletal modeling, ergonomics, and rehabilitation research.
General Information
Dr. Jones came to Stevens Institute of Technology as a Lecturer in the Fall of 2024. She come to Stevens from NJIT where she was a postdoc researcher and adjunct teaching faculty.
Experience
Stevens Institute of Technology, Schaefer School of Engineering and Science, Department of Biomedical Engineering, Lecturer, 2024
New Jersey Institute of Technology, Newark College of Engineering, Department of Biomedical Engineering, Adjunct, 2023-2024
New Jersey Institute of Technology, Newark College of Engineering, Department of Biomedical Engineering, Adjunct, 2023-2024
Selected Publications
1. Xu, S., Jones, R., Ratnakumar, N., Akbas, K., Powell, J., Zhuang, Z., and Zhou, Z. (2024). Impact of Self-Contained Breathing Apparatus (SCBA) Weights on Firefighter’s Kinematics During Simulated Firefighter Tasks. 15th International Conference on Applied Human Factors and Ergonomics, (paper, DOI: 10.54941/ahfe1004872). July 24-27, Nice, France.
2. Ratnakumar, N., Akbas, K., Jones, R., You, Z., and Zhou, X. Predicting sit-to-stand motions with a deep reinforcement learning based controller under idealized exoskeleton assistance. Multibody System Dynamics. (2024) DOI: 10.1007/s11044-024-10009-1
3. Jones, R., Akbas, K., Ratnakumar, N., and Zhou, X. Delayed center of mass feedback in elderly humans leads to greater muscle co-contraction and altered balance strategy under perturbed balance: A predictive musculoskeletal simulation study. PLOS One, (2024) DOI: 10.1371/journal.pone.0296548.
4. Marena, M., Ratnakumar, N., Jones, R., Zhou, X., Das, S. and Shen, B. (2023). Predicting metabolic rate for firefighting activities with worn loads using a heart rate sensor and machine learning. IEEE International Conference on Wearable and Implantable Body Sensor Networks, (paper, DOI: 10.1109/BSN58485.2023.10331063). October 9-11, Boston, MA.
5. Jones, R. and Fey, N. (2021). Femur abduction associated with transfemoral amputation alters the profile of lumbopelvic mechanical forces and moments during generalized end-limb loading. The Engineering in Medicine and Biology Conference, (paper DOI: 10.1109/EMBC46164.2021.9630149). October 31 – November 4. Virtual.
2. Ratnakumar, N., Akbas, K., Jones, R., You, Z., and Zhou, X. Predicting sit-to-stand motions with a deep reinforcement learning based controller under idealized exoskeleton assistance. Multibody System Dynamics. (2024) DOI: 10.1007/s11044-024-10009-1
3. Jones, R., Akbas, K., Ratnakumar, N., and Zhou, X. Delayed center of mass feedback in elderly humans leads to greater muscle co-contraction and altered balance strategy under perturbed balance: A predictive musculoskeletal simulation study. PLOS One, (2024) DOI: 10.1371/journal.pone.0296548.
4. Marena, M., Ratnakumar, N., Jones, R., Zhou, X., Das, S. and Shen, B. (2023). Predicting metabolic rate for firefighting activities with worn loads using a heart rate sensor and machine learning. IEEE International Conference on Wearable and Implantable Body Sensor Networks, (paper, DOI: 10.1109/BSN58485.2023.10331063). October 9-11, Boston, MA.
5. Jones, R. and Fey, N. (2021). Femur abduction associated with transfemoral amputation alters the profile of lumbopelvic mechanical forces and moments during generalized end-limb loading. The Engineering in Medicine and Biology Conference, (paper DOI: 10.1109/EMBC46164.2021.9630149). October 31 – November 4. Virtual.
Courses
BME 502/503: Engineering Physiology 1 and 2
BME 512/513: Engineering Physiology Lab 1 and 2
BME 512/513: Engineering Physiology Lab 1 and 2