Professor and Chair
Center for Advanced Technology for Large Structural Systems (ATLSS)
117 ATLSS Drive, IMBT Labs
Bethlehem, PA 18015

Phone Number: 
(610) 758-3566

Areas of Research

Structural Engineering
Structural Identification and Damage Detection
Wireless ad-hoc and Sensory Networks
Signal Processing
Nondestructive Evaluation of Materials and Structures
Large-Scale Structural Testing and Simulation
Large Structures
Infrastructure Hazard Mitigation
Dynamic Systems and Control
Disaster Management and Resilience of the Infrastructure


An expert in structural health monitoring, Shamim Pakzad studies the use of wireless sensor networks to monitor and detect damage in bridges and other large structures. Pakzad is also interested in system identification and signal processing, probabilistic methods in civil engineering and structural reliability, and random vibrations and structural dynamics.

Pakzad has published widely on these subjects in academic journals, technical reports, and conference proceedings. In 2010, his research acquired a new international audience, thanks to a feature article published in The Economist.


Teaching and Service

To review Dr. Pakzad’s current teaching portfolio, click here.

To meet his current and former research advisees, click here.


Selected Publications

Pakzad, S.N., Fenves, G.L., Kim, S. and Culler, D.E. (2008), “Design and Implementation of Scalable Wireless Sensor Network for Structural Monitoring”, (ASCE) Journal of Infrastructure Systems, Vol. 14(1):89-101. https://doi.org/10.1061/(ASCE)1076-0342(2008)14:1(89)  (Invited article in SPECIAL ISSUE: New Sensors, Instrumentation, and Signal Interpretation).

Pakzad, S.N., and Fenves, G.L. (2009). “Statistical Analysis of Vibration Modes of a Suspension Bridge Using Spatially Dense Wireless Sensor Network”, (ASCE) Journal of Structural Engineering, Vol. 135(7):863-872. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000033

Pakzad, S.N. (2010). “Development and deployment of large scale wireless sensor network on a long-span bridge”, (Techno Press) Smart Structures and Systems, An International Journal, Vol. 6(5-6): 525-543. (Invited article in SPECIAL ISSUE: Wireless Sensor Advances and Applications for Civil Infrastructure Monitoring).

Pakzad, S.N., Rocha, G.V, and Yu, B. (2011). “Distributed modal identification using restricted auto regressive models”, (Taylor & Francis) International Journal of Systems Science, Vol. 42(9): 1473-1489. https://doi.org/10.1080/00207721.2011.563875  (Invited article in SPECIAL ISSUE: Distributed Estimation and Filtering for Sensor Networks).

Chang, M., and Pakzad, S.N. (Accepted  December 2011). “Modified Natural Excitation Technique for Stochastic Modal Identification-Proof”, (ASCE) Journal of Structural Engineering, In Press https://doi.org/10.1061/(ASCE)ST.1943-541X.0000559 (Invited article in SPECIAL ISSUE: Real-world Application of Structural Identification and Health Monitoring Methodologies).

Yao, R., and Pakzad, S.N. (2012). “Autoregressive statistical pattern recognition algorithms for damage detection in civil structures”, (Elsevier) Journal of Mechanical Systems and Signal Processing, Vol. 31: 355-368. https://doi.org/0.1016/j.ymssp.2012.02.014

Dorvash, S., and Pakzad, S.N. (2012). “Effects of measurement noise on modal parameter identification”, (IOP Publishing) Smart Materials & Structures, Vol. 21(6): 065008.  https://doi.org/10.1088/0964-1726/21/6/065008

Dorvash, S., and Pakzad, S.N. (Accepted August 2012). “Stochastic Iterative Modal Identification Algorithm and Application in Wireless Sensor Networks”, (Wiley-Blackwell) Structural Control and Health Monitoring, In Press https://doi.org/10.1002/stc.1521

Dorvash, S., Pakzad, S.N., and Cheng, L. (Accepted March 2012). “An Iterative Modal Identification Algorithm for Structural Health Monitoring using Wireless Sensor Networks”, (EERI) Earthquake Spectra, In Press.

Dorvash, S., Pakzad, S.N., Naito, C.J., Hodgson, I.C., and Yen, B. (Accepted October 2012). “Application of state of the art in measurement and data analysis techniques for vibration evaluation of a tall building”, (Taylor & Francis) Structure and Infrastructure Engineering, In Press https://doi.org/10.1080/15732479.2012.757795.


Ph.D., Civil and Environmental Engineering, The University of California - Berkeley
M.S., Civil and Environmental Engineering, San Jose State University
B.S., Civil Engineering, The Baha’i Institute for Higher Education (Iran)