Publications

JOURNAL ARTICLES

• 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).
• 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
• Chang, M., and Pakzad, S.N. (2013). “Modified Natural Excitation Technique for Stochastic Modal Identification”, (ASCE) Journal of Structural Engineering, Vol. 139(10):1753-1762. DOI: 10.1061/(ASCE)ST.1943-541X.0000559 (Invited article in SPECIAL ISSUE: Real-world Application of Structural Identification and Health Monitoring Methodologies).
• Dorvash, S., and Pakzad, S.N. (2013). “Stochastic Iterative Modal Identification Algorithm and Application in Wireless Sensor Networks”, (Wiley-Blackwell) Structural Control and Health Monitoring, Vol. 20(8):1121-1137. DOI: 10.1002/stc.1521
• Dorvash, S., Pakzad, S.N., and Cheng, L. (2013). “An Iterative Modal Identification Algorithm for Structural Health Monitoring using Wireless Sensor Networks”, (EERI) Earthquake Spectra, Vol. 29(2):339-365.
• Yao, R., and Pakzad, S.N. (2013). “Damage and noise sensitivity evaluation of autoregressive features extracted from structure vibration”, (IOP Publishing) Smart Materials & Structures, Vol. 23(2): 025007.  DOI: 10.1088/0964-1726/23/2/025007.
• Dorvash, S., Pakzad, S.N., Naito, C.J., Hodgson, I.C., and Yen, B. (2014). “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, Vol. 10(5):654-669. DOI: 10.1080/15732479.2012.757795.
• Yao, R., and Pakzad, S.N. (2014). “Time and Frequency Domain Regression Based Stiffness Estimation and Damage Identification”, (Wiley-Blackwell) Structural Control and Health Monitoring, Vol. 21(3):356-380. DOI: 10.1002/stc.1570.
• Dorvash, S., Pakzad, S.N., and Labuz, E.L. (201). “Statistics Based Localized Damage Detection using Vibration Response”, (Techno Press) Smart Structures and Systems, An International Journal, Vol.14, No.2, pp.85-104. DOI: http://dx.doi.org/10.12989/sss.2014.14.2.085.
• Chang, M., and Pakzad, S.N. (2014). “Observer Kalman filter identification for output-only systems using Interactive Structural Modal Identification Toolsuite”, (ASCE) Journal of Bridge Engineering, Vol. 19(5): 04014002. DOI: 10.1061/(ASCE)BE.1943-5592.0000530.
• Shahidi, G., and Pakzad, S.N. (2014). “Generalized Response Surface Model Updating Using Time Domain Data”, (ASCE) Journal of Structural Engineering, A4014001, DOI: 10.1061/(ASCE)ST.1943-541X.0000915. (Invited article in SPECIAL ISSUE: Computational Simulation in Structural Engineering).
• Nigro, M.B., Pakzad, S.N., and Dorvash, S. (2014). “Localized Structural Damage Detection: A Change Point Analysis”, (Blackwell Publishing) Computer-Aided Civil and Infrastructure Engineering, Vol. 29(6):416-432. DOI: 10.1111/mice.12059.
• Chang, M., and Pakzad, S.N. (2014). “Optimal Sensor Placement for Modal Identification of Bridge Systems Considering Number of Sensing Nodes”, (ASCE) Journal of Bridge Engineering, Vol. 19(6): 04014019. DOI: 10.1061/(ASCE)BE.1943-5592.0000594.
• Shahidi, G., and Pakzad, S.N. (2014). “Effect of Measurement Error and Excitation on Generalized Response Surface Model Updating”, (Elsevier) Engineering Structures, Vol. 75(2014): 51-62. DOI: 10.1016/j.engstruct.2014.05.033.
• Dorvash, S., Pakzad, S.N., Labuz, E.L., Ricles, J.M., and Hodgson, I.C. (2015). “Localized Damage Detection Algorithm and Implementation on a Large-Scale Steel Beam-to-Column Moment Connection”, (EERI) Earthquake Spectra, Vol. 31, No. 3, pp. 1543-1566. DOI: 10.1193/031613EQS069M.
• Shahidi, G., Pakzad, S.N., Ricles, J.M., and Martin, J.R. (2015). “Behavior and damage of the Washington Monument during the 2011 Mineral, Virginia, earthquake“. The 2011 Mineral, Virginia, Earthquake, and Its Significance for Seismic Hazards in Eastern North America: Geological Society of America (GSA) Special Paper 509, DOI:10.1130/2015.2509(13).
• Shahidi, G., Nigro, M.B., Pakzad, S.N., and Pan, Y. (2015). “Structural damage detection and localisation using multivariate regression models and two-sample control statistics”, Structure and Infrastructure Engineering, Vol. 11, No. 10, 1277–1293, DOI: 10.1080/15732479.2014.949277.
• Yao, R., and Pakzad, S.N. (2015) “Multisensor Aggregation Algorithms for Structural Damage Diagnosis Based on a Substructure Concept”, (ASCE) Journal of Engineering Mechanics, 141(6), 04014164. DOI: 10.1061/(ASCE)EM.1943-7889.0000879.
• Chang, M., and Pakzad, S.N. (2015). “Optimal sensor configuration for flexible structures with multi-dimensional mode shapes”, Smart Materials & Structures. Vol. 24: 055012. DOI: 10.1088/0964-1726/24/5/055012.
• Matarazzo, T.J., and Pakzad, S.N. (2015). “Sensitivity Metrics for Maximum Likelihood System Identification”, (ASCE-ASME) Journal of Risk and Uncertainty in Engineering Systems, Part A: Civ. Eng., B4015002. DOI: 10.1061/AJRUA6.0000832.
• Matarazzo, T.J., and Pakzad, S.N. (2016). “STRIDE for Structural Identification Using Expectation Maximization Iterative Output-Only Method for Modal Identification”, (ASCE) Journal of Engineering Mechanics, 04015109, DOI: 10.1061/(ASCE)EM.1943-7889.0000951.
• Matarazzo, T.J., and Pakzad, S.N. (2016). “Truncated Physical Model for Dynamic Sensor Networks with Applications in High-Resolution Mobile Sensing and BIGDATA”, (ASCE) Journal of Engineering Mechanics, In Press, DOI: 10.1061/(ASCE)EM.1943-7889.0001022.
• Matarazzo, T.J., and Pakzad, S.N. (2016). “Structural Identification for Mobile Sensing with Missing Observations”, (ASCE) Journal of Engineering Mechanics, 142 (5), 04016021, DOI: 10.1061/(ASCE)EM.1943-7889.0001046.
• Shahidi, G., Pakzad, S.N., Ricles, J.M., and Martin, J.R. (2016). “Assessment of the 2011 Virginia Earthquake Damage and Seismic Fragility Analysis of the Washington Monument“. (EERI) Earthquake Spectra, Vol. 32, No. 4, pp. 2399-2423. DOI: 10.1193/091515EQS138M.
• Chu, X., Ricles, J.M., and Pakzad, S.N. (2017). “Seismic Fragility Analysis of the Smithsonian Institute Museum Support Center“. (EERI) Earthquake Spectra, Vol. 33, No. 1, pp. 85-108. DOI: 10.1193/123115EQS193M.
• Yao, R., Pakzad, S.N., and Venkitasubramaniam, P. (2017). “Compressive Sensing Based Structural Damage Detection and Localization Using Theoretical and Metaheuristic Statistics“. (Wiley-Blackwell) Structural Control and Health Monitoring, Vol. 24(4):e1881. DOI: 10.1002/stc.1881.
• Matarazzo, T.J., and Pakzad, S.N. (2018). “Scalable Structural Modal Identification Using Dynamic Sensor Network Data”, (ASCE) Computer‐Aided Civil and Infrastructure Engineering 33 (1), 4-20, DOI: 10.1111/mice.12298.
• Matarazzo, T.J., Santi, P., Pakzad, S.N., Carter, K., Ratti, C., Moaveni, B., Osgood, C., & Jacob, N. (2018).
  “Crowdsensing Framework for Monitoring Bridge Vibrations Using Moving Smartphones” , Proceedings of the IEEE (Smart Cities Special Issue). Vol. 106, No. 4. pp. 577-593. DOI: 10.1109/JPROC.2018.2808759
• Gulgec, N.S., Takáč, M., and Pakzad, S.N. (2019). “Convolutional Neural Network Approach for Robust Structural Damage Detection and Localization“. Journal of Computing in Civil Engineering. 33 (3), 04019005, DOI: 10.1061/(ASCE)CP.1943-5487.0000820
• Horner, M.P., Pakzad, S.N., and Gulgec, N.S. (2019). “Parameter Estimation of Autoregressive-Exogenous and Autoregressive Models Subject to Missing Data Using Expectation Maximization“. Frontiers in Built Environment. Vol. 5:109, DOI: 10.3389/fbuil.2019.00109
• Gulgec, N.S., Shi, Z., Deshmukh, N., Takáč, M., and Pakzad, S.N. (2019). “FD-Net with Auxiliary Time Steps Fast Prediction of PDEs using Hessian-Free Trust-Region Methods“. NeurIPS Workshop on Beyond First-Order Methods in ML, arXiv preprint arXiv:1910.12680
• Sadeghi Eshkevari, S., Pakzad, S.N., Takáč, M., & Matarazzo, T.J. (2020). “Modal Identification of Bridges using Mobile Sensors with Sparse Vibration Data”. ASCE Journal of Engineering Mechanics. 146(4), 04020011. DOI: 10.1061/(ASCE)EM.1943-7889.0001733
• Sadeghi Eshkevari, S., Matarazzo, T.J., & Pakzad, S.N. (2020). “Bridge Modal Identification using Datastream from Network of Moving Vehicles”, (Elsevier) Mechanical Systems & Signal Processing. 141:106733. DOI: 10.1016/j.ymssp.2020.106733
• Sadeghi Eshkevari, S., Matarazzo, T.J., & Pakzad, S.N. (2020). “Simplified Vehicle-Bridge Interaction for medium to Long-span Bridges Subject to Random Traffic Load”, (Springer) Journal of Civil Structural Health Monitoring 10, 693–707 (2020). DOI: 10.1007/s13349-020-00413-4
• Gulgec, N.S., Takáč, M., and Pakzad, S.N. (2020). “Structural Sensing with Deep Learning: Strain Estimation from Acceleration Data for Fatigue Assessment”, (Blackwell Publishing) Computer-Aided Civil and Infrastructure Engineering, 2020; 1– 15. DOI: 10.1111/mice.12565
• Valeti, B., and Pakzad, S.N. (2021). “Hybrid Data + Model-Based Submodeling Method for a Refined Response Estimation at Critical Locations”. Journal of Structural Control and Health Monitoring. 28 (1) e2646. DOI: 10.1002/stc.2646
• Sadeghi Eshkevari, S., Takáč, M., Pakzad, S.N., Jahani, M. (2021). “DynNet: Physics-based Neural Architecture Design for Nonlinear Structural Response Modeling and Prediction”, (Elsevier) Engineering Structures
  229, 111582. DOI: 10.1016/j.engstruct.2020.111582
• Valeti, B., and Pakzad, S.N. (2021). “High-Dimensional Uncertainty Quantification in a Hybrid Data+ Model-Based Submodeling Method for Refined Response Estimation at Critical Locations”. Journal of Structural Control and Health Monitoring. 28 (1) e2646. DOI: 10.1061/AJRUA6.0001142
• Gulgec, N.S., Takáč, M., and Pakzad, S.N. (2021). “Structural Sensing with Deep Learning: Strain Estimation from Acceleration Data for Fatigue Assessment”, (Taylor & Francis) Structure and Infrastructure Engineering, 17:11, pp1459– 1459. DOI: 10.1080/15732479.2020.1815224
• Sadeghi Eshkevari, S., Cronin, L., Sadeghi Eshkevari, S., & Pakzad, S.N. (2022). “Input Estimation of Nonlinear Systems Using Probabilistic Neural Network”, (Elsevier) Mechanical Systems and Signal Processing 166, 108368. DOI: 10.1016/j.ymssp.2021.108368
• Cronin, L., Sadeghi Eshkevari, S., Matarazzo, T.J., & Pakzad, S.N. (2022). “Bridge Modal Property Identification Based on Asynchronous Mobile Sensing Data”, (Sage) Structural Health Monitoring, 2022;0(0), 1-16. DOI: 10.1177/14759217221109014
• Matarazzo, T.J., Kondor, D., Milardo, S., Eshkeveri, S.S., Santi, P., Pakzad, S.N., Buehler, M.J., & Jacob, N. (2022).
  “Crowdsourcing Bridge Dynamic Monitoring with Smartphone Vehicle Trips” , (Nature) Communications Engineering. 1, 29. DOI: 10.1038/s44172-022-00025-4
• Sadeghi Eshkevari, Sadeghi Eshkevari, S., Sen, D., & Pakzad, S.N. (2023). “Active Structural Control Framework Using Policy-Gradient Reinforcement Learning”, (Elsevier) Engineering Structures, 274, 115122. DOI: 10.1016/j.engstruct.2022.115122.

REFEREED CONFERENCE PROCEEDINGS

• Shahidi, S.G. and Pakzad, S.N. (2015) “A Compressed Sensing Approach in Structural Damage Identification”, Proceedings of the 10th International Workshop on Structural Health Monitoring, Stanford, CA. Vol. 2, pp. 2245-2252.
• Matarazzo, T.J., Shahidi, S.G. and Pakzad, S.N. (2015) “Exploring the Efficiency of BIGDATA Analyses in SHM”, Proceedings of the 10th International Workshop on Structural Health Monitoring, Stanford, CA. Vol. 2, pp. 2981-2989.
• Matarazzo, T.J., and Pakzad, S.N. (2015) “Direct State-Space Models for Time-Varying Sensor Networks”, Proceedings of the 10th International Workshop on Structural Health Monitoring, Stanford, CA. Vol. 2, pp. 3066-3072.
• Horner, M., Koser, K., Korneva, K, Matarazzo, T.J., and Pakzad, S.N. (2015) “A Wireless Mobile Sensor Platform for Structural Health Monitoring”, Proceedings of the Joint 6th International Conference on Advances in Experimental Structural Engineering (6AESE) and 11th International Workshop on Advanced Smart Materials and Smart Structures Technology (11ANCRiSST), Urbana-Champaign, IL.
• Shahidi, G., and Pakzad, S.N. (2015) “Data-driven Structural Damage Diagnosis”, Proceedings of the Joint 6th International Conference on Advances in Experimental Structural Engineering (6AESE) and 11th International Workshop on Advanced Smart Materials and Smart Structures Technology (11ANCRiSST), Urbana-Champaign, IL.
• Hohrath, B.L., Matarazzo, T.J., and Pakzad, S.N. (2015) “Design and Application of a Mobile Sensing Network for a Bridge Structure”, Proceedings of the Society of Experimental Mechanics IMAC XXXIII, Orlando, FL.
• Yao, R., Pakzad, S.N., and Venkitasubramaniam, P.  (2015) “A compressive sensing scheme for structural damage existence and location identification”, Proceedings of the Society of Experimental Mechanics IMAC XXXIII, Orlando, FL.
• Matarazzo, T.J., Shahidi, G., Chang, M., and Pakzad, S.N. (2015) “Are Today’s SHM procedures Suitable for Tomorrow’s Data?”, Proceedings of the Society of Experimental Mechanics IMAC XXXIII, Orlando, FL.
• Shahidi, G., Yao, R., Pakzad, S.N., Chamberlain, M., and Nigro, M.B.  (2015) “Data-driven structural damage identification using DIT”, Proceedings of the Society of Experimental Mechanics IMAC XXXIII, Orlando, FL.
• Chu, X., Ricles, J., Pakzad, S., Martin, J., and Shahidi, G.  (2014) “Damage Reconnaissance and Seismic Response Prediction of an East Coast U.S. Building Subjected to 2011 Virginia Earthquake”, Proceedings of the ASCE’s 46th Structures Congress, Boston, MA. pp. 1324-1335. DOI: 10.1061/9780784413357.117
• Peterson, K., Pakzad, S.N., Shahidi, S., Barbachyn, S., and Kurama, Y. (2014) “Advanced Sensing Techniques for Damage Detection in Reinforced Concrete”, Proceedings of the ASCE’s 46th Structures Congress, Boston, MA. pp. 2777-2788. DOI: 10.1061/9780784413357.243
• Yao, R., and Pakzad, S.N. (2014). ” Noise Sensitivity Evaluation of Autoregressive Features Extracted from Structure Vibration“, Proceedings of the Society of Experimental Mechanics IMAC XXXII, Orlando, FL. Topics on Model Validation and Uncertainty Quantification, Vol. 3, pp. 79-87.  DOI: 10.1007/978-3-319-04552-8_8
• Matarazzo, T.J., and Pakzad, S.N. (2014) “Modal Identification of Golden Gate Bridge Using Pseudo Mobile Sensing Data with STRIDE“, Proceedings of the Society of Experimental Mechanics IMAC XXXII, Orlando, FL. Topics in Structural Dynamics, Vol. 4, pp. 293-298. DOI: 10.1007/978-3-319-04546-7_33
• Chang, M., and Pakzad, S.N. (2014). “A parameter optimization for mode shapes estimation using Kriging interpolation“, Proceedings of the Society of Experimental Mechanics IMAC XXXII, Orlando, FL. Topics in Structural Dynamics, Vol. 6, pp. 287-293. DOI: 10.1007/978-3-319-04729-4_23
• Chang, M., and Pakzad, S.N. (2014). “Modal parameter uncertainty quantification using PCR implementation with SMIT“, Proceedings of the Society of Experimental Mechanics IMAC XXXII, Orlando, FL. Topics on Model Validation and Uncertainty Quantification, Vol. 3, pp. 185-193.  DOI: 10.1007/978-3-319-04552-8_18
• Matarazzo, T.J., and Pakzad, S.N. (2013). “Mobile Sensors in Bridge Health Monitoring”, Proceedings of the 9th International Workshop on Structural Health Monitoring, Stanford, CA. Vol. 2, pp. 1881-1888.
• Yao, R., and Pakzad, S.N. (2013). “Performance comparison of different autoregressive damage features using acceleration measurements from a truss bridge”, Proceedings of the 9th International Workshop on Structural Health Monitoring, Stanford, CA. Vol. 1, pp. 220-227.
• Nigro, M.B., and Pakzad, S.N. (2013). “The Use of Localized Sensor Networks for Damage Detection: A Likelihood Ratio Test Control Chart”, Proceedings of the 9th International Workshop on Structural Health Monitoring, Stanford, CA. Vol. 2, pp. 2803-2810.
• Shahidi, G., and Pakzad, S.N. (2013). “Time Domain Response Surface Model Updating for Nonlinear Structures”, Proceedings of the 9th International Workshop on Structural Health Monitoring, Stanford, CA. Vol. 1, pp. 1097-1104.
• Dorvash, S., and Pakzad, S.N. (2013). “Uncertainties in Identification of a Steel Bridge Dynamic Characteristic”, Proceedings of the ASCE’s 45th Structures Congress. Pittsburgh, PA. pp. 328-339. DOI: 10.1061/9780784412848.030
• Dorvash, S., and Pakzad, S.N. (2013). “Significance of Sensor Quality in Modal Identification of a Bridge Structure”, Proceedings of the SPIE Sensors and Smart Structures Technologies. San Diego, CA. Vol. 8692. DOI: 10.1117/12.2009828
• Matarazzo, T.J., and Pakzad, S.N. (2013). “Structural Modal Identification using Data Sets with Missing Observations”, Proceedings of the SPIE Sensors and Smart Structures Technologies. San Diego, CA. Vol. 8692.  DOI: 10.1117/12.2012247
• Yao, R., and Pakzad, S.N. (2013). “Structural Damage Localization Using Sensor Cluster Based Regression Schemes“, Proceedings of the Society of Experimental Mechanics IMAC XXXI, Garden Grove, CA. Topics on the Dynamics of Civil Structures, Vol. 4, pp. 307-315.  DOI: 10.1007/978-1-4614-6555-3_34
• Shahidi, G., and Pakzad, S.N. (2013). “Response Surface Model Updating for Nonlinear Structures“, Proceedings of the Society of Experimental Mechanics IMAC XXXI , Garden Grove, CA. Topics on the Dynamics of Civil Structures, Vol. 4, pp 283-288.  DOI: 10.1007/978-1-4614-6555-3_31
• Yao, R., Tillotson, M.L., Pakzad, S.N., and Pan, Y. (2012). “Regression-Based Algorithms for Structural Damage Identification and Localization“, Proceedings of the ASCE’s 44th Structures Congress. Chicago, IL. pp. 747-756. DOI: 10.1061/9780784412367.067
• Dorvash, S., Li, X., Pakzad, S.N., and Cheng, L. (2012). “Network Architecture Design of an Agile Sensing System with Sandwich Wireless Sensor Nodes”, Proceedings of the SPIE Sensors and Smart Structures Technologies, San Diego, CA. Vol. 8345 83450H-1.  DOI: 10.1117/12.915391
• Wang, Z., Pakzad, S.N., and Cheng, L. (2012). “Sandwich Node Architecture for Agile Wireless Sensor Networks for Real-time Structural Health Monitoring Applications”, Proceedings of the SPIE Sensors and Smart Structures Technologies, San Diego, CA. Vol. 8345 83450L-1.  DOI: 10.1117/12.915386
• Dorvash, S., and Pakzad, S.N. (2012). “Iterative Modal Identification Algorithm; Implementation and Evaluation“, Proceedings of the Society of Experimental Mechanics IMAC XXX, Jacksonville, FL. Topics on the Dynamics of Civil Structures, Vol. 1, pp. 229-237.  DOI: 10.1007/978-1-4614-2413-0_23
• Yao, R., and Pakzad, S.N. (2012). “Structural Damage Detection Using Multivariate Time Series Analysis“, Proceedings of the Society for Experimental Mechanics IMAC XXX, Jacksonville, FL. Topics on the Dynamics of Civil Structures, Vol.  1, pp. 299-308.   DOI: 10.1007/978-1-4614-2413-0_30
• Chang, M., Pakzad, S.N., and Leonard, R. (2012). “Modal identification using SMIT“, Proceedings of the Society for Experimental Mechanics IMAC XXX, Jacksonville, FL. Topics on the Dynamics of Civil Structures, Vol. 1, pp.  221-228.   DOI: 10.1007/978-1-4614-2413-0_22
• Wang, Z., Pakzad, S.N., and Cheng, L. (2011). “Sandwich Node Architecture for Task Preemption in Wireless Sensor Networks for Structural Health Monitoring Applications”, Proceedings of the 8th International Workshop on Structural Health Monitoring, Stanford, CA. Vol. 2, pp. 2099-2106.
• Chang, M., Pakzad, S.N., and Schanck, C. (2011). “Framework for Comparison Study of Stochastic Modal Identification Considering Accuracy and Efficiency”, Proceedings of the 8th International Workshop on Structural Health Monitoring, Stanford, CA. Vol. 2, pp. 2141-2148.
• Dorvash, S., Pakzad, S.N., Knorr, R.C., and Horwath, L.M. (2011). “Modal Identification of Steel Truss Bridges using Wireless Sensor Network”, Proceedings of the 8th International Workshop on Structural Health Monitoring, Stanford, CA. Vol. 2, pp. 2173-2180.
• Yao, R., and Pakzad, S.N. (2011). “Statistical Modeling Methods for Structural Damage Identification”, Proceedings of the 6th International Workshop on Advanced Smart Materials and Smart Structures Technology ANCRiSST2011, Dalian, China.
• Labuz, E. L., Pakzad, S.N., and Cheng, L.  (2011). “Damage Detection and Localization in Structures: A Statistics Based Algorithm Using a Densely Clustered Sensor Network”, Proceedings of the ASCE’s 43rd Structures Congress. Las Vegas, NV. pp. 53-64. DOI: 10.1061/41171(401)6
• Yao, R., and Pakzad, S.N. (2011). “Data-Driven Methods for Threshold Determination in Time-Series Based Damage Detection”, Proceedings of the ASCE’s 43rd Structures Congress. Las Vegas, NV. pp. 77-88. DOI: 10.1061/41171(401)8
• Labuz, E. L., Pakzad, S.N., and Wurst, D. (2011). “Localized damage detection in a large-scale moment connection using a strain gauge sensor network”, Proceedings of the SPIE Sensors and Smart Structures Technologies, San Diego, CA. Vol. 7981 79813Q-1. DOI: 10.1117/12.880752
• Li, X., Dorvash, S., Cheng, L., and Pakzad, S.N. (2011). “An Implementation of a Data-transmission Pipelining Algorithm on Imote2 Platforms”, Proceedings of the SPIE Sensors and Smart Structures Technologies, San Diego, CA. Vol. 7981 798104-1. DOI: 10.1117/12.880451
• Dorvash, S., Yao, R., Pakzad, S.N., and Okaly, K. (2010). “Static and dynamic model validation and damage detection using wireless sensor network”, Proceedings of the 5th International Conference on Bridge Maintenance, Safety and Management. Philadelphia, PA. General Sessions, pp. 617
• Labuz, E.L., Chang, M. and Pakzad, S.N. (2010). “Local Damage Detection in Beam-Column Connections Using a Dense Sensor Network”, Proceedings of the ASCE’s 42nd Structures Congress. Orlando, FL. pp. 3143-3154.  DOI: 10.1061/41130(369)282
• Dorvash, S., Pakzad, S.N., Labuz, E.L., Chang, M.,  Li, X. and Cheng, L. (2010). “Validation of a Wireless Sensor Network using Local Damage Detection algorithm for Beam-Column Connections”, Proceedings of the SPIE Sensors and Smart Structures Technologies, San Diego, CA. Vol. 7647, 76719-1.  DOI: 10.1117/12.847581
• Li, X., Dorvash, S., Cheng, L. and Pakzad, S.N. (2010). “Pipelining in Structural Health Monitoring Wireless Sensor Network”, Proceedings of the SPIE Sensors and Smart Structures Technologies, San Diego, CA. Vol. 7647, 76470I-1.   DOI: 10.1117/12.848112
• Pakzad, S.N., Dryden, M. and Fenves, G.L. (2009). “Parametric Bootstrap for System Identification of a Scaled Reinforced Concrete Bridge”, Proceedings of the ASCE’s 41st Structures Congress. Austin, TX.  pp. 397-405. DOI: 10.1061/41031(341)43
• Cheng, L. and Pakzad, S.N. (2009). “Agility of Wireless Sensor Networks for Earthquake Monitoring of Bridges”, Proceedings of the Sixth International Conference on Networked Sensing Systems. Pittsburgh, PA. pp.1-4. DOI: 10.1109/INSS.2009.5409921
• Pakzad, S.N. and Cheng, L. (2009), “A Responsive Modal Identification and Wireless Sensing Platform for Quasi-Realtime Earthquake Monitoring of Long-span Bridges”, Proceedings of the Sixth International Conference on Behavior of Steel Structures in Seismic Areas, Philadelphia, PA. Analytical and Experimental Methods; Connection Behaviour, pp. 861-866.
• Safi, D.M., Pakzad, S.N. and Blum, R. (2009), “Application of Parametric Bootstrap Technique for Damage Detection of a Scaled Reinforced Concrete Bridge”, Proceedings of the 7th International Workshop on Structural Health Monitoring, Stanford, CA. Vol. 2, pp. 2139-2146.
• Pakzad, S.N., Rocha, G.V., and Yu, B. (2009), “Distributed Modal Identification by Regularized Auto Regressive Models”, Proceedings of the 7th International Workshop on Structural Health Monitoring, Stanford, CA. Vol. 2, pp. 1390-1397.
• Kim, S., Pakzad, S., Culler, D., Demmel, J., Fenves, G., Glaser, S., Turon, M. (2007). “Health Monitoring of Civil Infrastructures Using Wireless Sensor Networks”, Proceedings of the 6^th International Conference on Information Processing in Sensor Networks (IPSN).
• Kim, S., Pakzad, S.N., Culler, D., Demmel, J., Fenves, G.L., Glaser, S. and Turon, M. (2006). “Wireless Sensor Networks for Structural Health Monitoring”, Proceedings of the 4th international conference on Embedded networked sensor systems, Pages: 427 – 438.
• Pakzad, S.N., Kim, S., Fenves, G.L., Glaser, S.D., Culler, D.E. and Demmel, J.W. (2005). “Multi-purpose Wireless Accelerometers for Civil Infrastructure Monitoring”, Proceedings of the 5th International Workshop on Structural Health Monitoring, Stanford, CA. pp. 125-132.
• Pakzad, S.N. and Fenves, G.L. (2004). “Structural Health Monitoring Applications Using MEMS Sensor Networks”, Proceedings of the 4th International Workshop on Structural Control, Columbia University, New York.  pp. 47-56.

OTHER CONFERENCE PAPERS

• Dorvash, S., Pakzad, S.N., Li, X. and Cheng, L. (2011). “Deployment and validation of a Wireless Sensor Network for modal identification of a bridge structure”, 2011 NSF Engineering Research and Innovation Conference, Atlanta, Georgia. (recipient of NSF-CMMI 2011 Student Participation Grant)
• Labuz, E.L., Pakzad, S.N. and Sporck, C.N. (2011). “Localized Damage Detection in Structures: A Statistics Based Algorithm Using a Densely Clustered Sensor Network”, 2011 NSF Engineering Research and Innovation Conference, Atlanta, Georgia. (recipient of NSF-CMMI 2011 Student Participation Grant)
• Pakzad, S.N. and Fenves, G.L. (2008). “Statistical Approach for Evaluation of Identified Vibration Properties of a Long-span Bridge Using a Wireless Sensor Network”, Proceedings of the US-Korea Workshop on Bio-inspired Sensor Technology & Infrastructure Monitoring.
• Fenves, G.L. and Pakzad, S.N. (2008). “Scalable Wireless Sensor Networks for Structural Monitoring”, Proceedings of the 5th International Conference on Urban Earthquake Engineering, CUE, Tokyo Institute of Technology.
• Fenves, G.L. and Pakzad, S.N. (2005), “Distributed Sensor Applications for Civil Infrastructure Monitoring”, Proceedings of the China-U.S. Workshop on the Smart Structures and Smart Systems, Jinan, China.

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