Skip Navigation

Jin-Song Pei

Jin-Song Pei

Jin-Song Pei.

Email: jspei@ou.edu
Phone: (405) 325-4272
Office: Carson Engineering Center, Room 327E

Curriculum Vitae (PDF)
Team Web Site

Education
Ph.D., Civil Engineering and Engineering Mechanics (2001)
Columbia University

M.S., Civil Engineering and Engineering Mechanicals (2000)
Columbia University

M.S., Engineering (1997)
Nanyang Technological University, Singapore

B.S. Structural Engineering (1989)
Xi'an Jiaotong University, China 

Jinsong Pei is the resident interdisciplinary expert of the Fears Lab structures team, and joined the OU structural engineering faculty in the fall of 2002.

Professor Pei guides education and research efforts in a wide variety of engineering fields, and especially at the interface of structural and electrical engineering.  Her research efforts include advanced sensor efforts for structural health monitoring, wireless communication techniques relevant to civil infrastructure, and the repair of damaged structural systems.

Jinsong teaches courses in analysis and in mechanics, including the materials and structural analysis courses in the undergraduate curriculum.  At the graduate level, she teaches courses in structural dynamics and advanced mechanics, and supports both undergraduate and graduate student research efforts.

  • Nonlinear dynamical system, nonlinear hysteresis, nonlinear system identification, memristors, memcapacitors, function approximation, artificial neural network, constructive method, piecewise smooth model, hybrid dynamical system, FPGA-based computation, embedded algorithm, structural health monitoring, damage detection, structural dynamics and earthquake engineering.

Are you grounded in engineering mechanics and structural engineering, and are you excited about learning cutting-edge multidisciplinary knowledge? Do you enjoy scientific research? We are working on a National Science Foundation (NSF) project to empower structural engineers with machine learning techniques that are interpretable, informed, and interactive — abbreviated as IML. In our project, machine learning will not be treated as a black box. Engineering mathematics, computational science, and creativity are calling. We are looking for a PhD student who wants to work towards this goal. You will collaborate with a diverse team of international partners, study nonlinear dynamics, advance IML, and contribute to nonlinear system identification. To facilitate your professional growth, a teaching assistantship will supplement your research assistantship. This position starts in January 2026. Contact Professor Jin-Song Pei at jspei@ou.edu for more information about this position, or apply directly to https://gograd.ou.edu/apply/.

Founded in 1890, the University of Oklahoma (OU) is a major public Research University in the United States (https://ou.edu/about). School of Civil Engineering and Environmental Science (CEES) has incredibly talented faculty (https://www.ou.edu/coe/cees/people). The OU campus is beautiful, and the campus life is colorful (https://www.ou.edu/admissions/campus-life). Graduate students enjoy English training and certification programs (https://www.ou.edu/gradcollege/student- life/etcs), including the writing center (https://www.ou.edu/writingcenter), among other professional development workshops (https://www.ou.edu/gradcollege/student- life/events-and-activities).