Picture of Dr. Wei Song

Associate Professor

Center for Sustainable Infrastructure, Civil, Construction and Environmental Engineering

2037F SERC
 (205) 348-0774
 (205) 348-0783
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  • Ph.D., Civil Engineering, Purdue University, 2011
  • M.S., Systems Science and Mathematics, Washington University in St. Louis, 2008
  • M.S., Structural Engineering, Tongji University, 2004
  • B.S., Civil Engineering, Tongji University, 2001


Dr. Wei Song’s research interests include structural condition assessment, advanced experimental technique, cyber-physical system design promoting community resilience and optimal control design for nonlinear stochastic systems. Song is most focused on addressing the challenges of developing resilient and sustainable communities through civil engineering. His research approach is designed specifically to develop, assess and implement advanced techniques for next-generation structural condition assessment and retrofitting tools.

Areas of Research

Latest Publications

  • Song, W., “Generalized Minimum Variance Unbiased Joint Input-State Estimation and Its Unscented Scheme for Dynamic Systems with Direct Feedthrough,” Mechanical Systems and Signal Processing99, pp. 886-920, (2018) (DOI: 10.1016/j.ymssp.2017.06.032)
  • Hayati, S., and Song, W., “Design and Performance Evaluation of an Optimal Discrete-Time Feedforward Controller for Servo-Hydraulic Compensation,” Journal of Engineering Mechanics144(2), (2018) (DOI: 10.1061/(ASCE)EM.1943-7889.0001399)
  • Zhou, S., and Song, W., “Environmental-Effects-Embedded Model Updating Method Considering Environmental Impacts,” Structural Control and Health Monitoring, 25(3), (2018) (DOI: 10.1002/stc.2116)
  • Song, W., Hayati, S., and Zhou, S., “Real-time Model Updating for Magnetorheological Damper Identification: An Experimental Study,” Smart Structures and Systems20(5), pp. 619-636, (2017) (DOI: 10.12989/sss.2017.20.5.619)
  • Hayati, S., and Song, W., “An Optimal Discrete-Time Feedforward Compensator for Real-Time Hybrid Simulation,” Smart Structures and Systems20(4), pp. 483-498. (2017) (DOI: 10.12989/sss.2017.20.4.483)