Eileen Johnson
· Physical TherapistUniversity of Southern California · Doctor of Physical Therapy Program
Active 1906–2025
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
About
Eileen Johnson, PT, DPT, WCS, is a Clinical Assistant Professor of Physical Therapy at USC and serves as the Director of the Women's Health Physical Therapy Residency. She is a board-certified women’s health clinical specialist with a focus on treating pelvic floor dysfunction. Her clinical interests include helping patients during pregnancy and postpartum with orthopedic and lumbopelvic conditions, as well as managing oncology-related pelvic floor dysfunction and pelvic pain. Dr. Johnson has prior experience working in pediatric, neurological, and orthopedic settings. She is actively involved in interdisciplinary collaborations within the USC Institute of Urology and has contributed to developing the Pelvic Floor Pre-Operative Class for patients undergoing prostate and bladder cancer surgeries. Additionally, she participates in research related to pelvic health and assists in teaching pelvic health content within the physical therapy academic curriculum.
Research topics
- Computer Science
- Statistics
- Artificial Intelligence
- Mathematics
- Mechanical engineering
- Structural engineering
- Algorithm
- Engineering
- Physics
- Materials science
Selected publications
Computer Methods in Applied Mechanics and Engineering · 2023-12-20 · 23 citations
articleREIN: Reliability Estimation via Importance sampling with Normalizing flows
Reliability Engineering & System Safety · 2023 · 20 citations
Senior authorCorrespondingJournal of Engineering Mechanics · 2018-06-26 · 15 citations
articleCorrespondingModels are used to represent and characterize physical phenomena. When there are many plausible models for a particular phenomenon, the modeler can exploit the computational tool called model falsification to systematically eliminate models that do not reasonably fit measured data. Model falsification typically compares measurements and their predictions by different models, and rejects a model if some metric of the difference between them is outside some prescribed bounds. This paper compares t…
Engineering Structures · 2016-10-05 · 15 citations
articleSenior authorJournal of Engineering Mechanics · 2020 · 13 citations
Measured force-displacement sensing data are analyzed to create nonlinear hysteretic models for elastic sliding bearings and steel dampers. These data were collected during full-scale experimental tests of a base-isolated structure at Japan’s National Research Institute for Earth Science and Disaster Resilience (NIED) “E-Defense” Hyogo Earthquake Engineering Research Center in 2013 that employed historical and synthetic earthquake inputs. Several models are explored for each isolation-layer devi…
Recent grants
NSF · $206k · 2014–2019
NSF · $215k · 2013–2018
RAPID: NEES/E-Defense Collaboration for Design of E-Defense Smart Base Isolation Experiments
NSF · $68k · 2011–2014
Frequent coauthors
- 49 shared
Richard Christenson
- 45 shared
Billie F. Spencer
University of Illinois Urbana-Champaign
- 27 shared
B. F. Spencer
University of Illinois Urbana-Champaign
- 23 shared
A. MacKinnon
Imperial College London
- 20 shared
Yozo Fujino
Fukui City Museum of Natural History
- 19 shared
Steven F. Wojtkiewicz
Clarkson University
- 19 shared
Keisuke Seto
- 18 shared
Satish Nagarajaiah
Rice University
Education
Other, Physical Therapy
University of Southern California
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