Director of CEE Graduate Programs,
Civil and Environmental Engineering
ATLSS Engineering Research Center
Imbt Labs - Room B208
117 ATLSS Drive
Bethlehem, PA 18015-4729, USA
• Postdoctoral Appointment in Structural Engineering, The University of California, Berkeley, 2008
• Ph.D., Civil and Environmental Engineering, The University of California, Berkeley, 2008
• M. S., Civil and Environmental Engineering, San Jose State University, San Jose, California, 2000
• B. S., Civil Engineering, The Baha'i Institute for Higher Education, Iran, Tehran, 1995
Dr. Pakzad’s research interests include structural health monitoring; wireless sensor networks; damage detection; system identification and signal processing; probabilistic methods in civil engineering and structural reliability; random vibrations and structural dynamics; and structural monitoring of large infrastructures and bridges.
To review Dr. Pakzad’s current teaching portfolio, click here.
To meet his current and former research advisees, click here.
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. DOI: 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. DOI: 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. DOI: 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 DOI: 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. DOI: 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. DOI: 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 DOI: 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 DOI: 10.1080/15732479.2012.757795.