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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)
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.
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
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. (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.
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
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. (2014). “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.
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.
Yao, R., and Pakzad, S.N. (2014). “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.
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, Volume 142, Issue 5, 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, Volume 142, Issue 5, DOI: 10.1061/(ASCE)EM.1943-7889.0001046.
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. 24: e1881. DOI: 10.1002/stc.1881
Chu, X., Ricles, J.M., and Pakzad, S.N. (2017). “Seismic fragility analysis of the Smithsonian Institute Museum Support Center Structure”, (EERI) Earthquake Spectra. February 2017, Vol. 33, No. 1, pp. 85-108. DOI: http://dx.doi.org/10.1193/123115EQS193M
Matarazzo, T.J., and Pakzad, S.N. (2018). “Scalable Structural Modal Identification Using Dynamic Sensor Network Data with STRIDEX”, (Blackwell Publishing) 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 ), Vol. 106, No. 4, 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(D), 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
Sadeghi Eshkevari, S., Pakzad, S.N., Takáč, M., &, Matarazzo, T.J. (2019). “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
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
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. (2021). "Uncertainty quantification in digital image correlation for experimental evaluation of deep learning based damage diagnostic", Structure and Infrastructure Engineering, 17:11, 1459-1473, DOI:10.1080/15732479.2020.1815224.
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. 2021;28:e2646. DOI.org/10.1002/stc.2646.
Sadeghi Eshkevari, S., Takáč, M., Pakzad, S.N. & Jahani, M. (2021) “DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction”. 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”. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering Volume 7, Issue 3 DOI: 10.1061/AJRUA6.0001142
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 (2022) 108368. DOI: 10.1016/j.ymssp.2021.108368
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
Cronin, L., Sadeghi Eshkevari, S., Matarazzo, T.J., & Pakzad, S.N. (2023). “Bridge Modal Property Identification Based on Asynchronous Mobile Sensing Data”, (Sage) Structural Health Monitoring, 2023;22(3):2022-2037. DOI:10.1177/14759217221109014
Sadeghi Eshkevari, S., Sadeghi Eshkevari, S., Sen, D., & Pakzad, S.N. (2023). “Active Structural Control Framework Using Policy-Gradient Reinforcement Learning”, (Elsevier) Engineering Structures, 274 (2023) 115122. DOI: 10.1016/j.engstruct.2022.115122.
Sadeghi Eshkevari, S., Cronin, L., Matarazzo, T.J., & Pakzad, S.N. (2023). “Bridge modal property identification based on asynchronous mobile sensing data”, (Elsevier) Structural Health Monitoring. 2023;22(3):2022-2037. DOI:10.1177/14759217221109014
Matarazzo, T.J., Dabbaghchian, I., Cronin, L., Pakzad, S.N., Eshkeveri, S.S., Yin, H., Lassman, R., Santi, P., & Ratti, C. (2023). “Quality analyses of crowdsourced smartphone trips for bridge dynamic monitoring” , (Taylor & Francis) Life-Cycle of Structures and Infrastructure Systems. 978-1-003-32302-0DOI: 10.1201/9781003323020-100
Cronin, L., Eshkeveri, S.S., Matarazzo, T.J., Milardo, S., Dabbaghchian, I., Santi, P., Pakzad, S.N., & Ratti, C., & (2024). “Bridging the Gap: Commodifying Infrastructure Condition Data with Crowdsensing” , (Nature) Communications Engineering (2024) 3:93. DOI: 10.21203/rs.3.rs-2992014/v1
Sadeghi Eshkevari, S., Sen, D., Sadeghi Eshkevari, S., Dabbaghchian, I., & Pakzad, S.N. (2024). “AI-enabled indirect bridge strain sensing using field acceleration data”, (Elsevier) Computers & Structures. 305 (2024) 107531. DOI:10.1016/j.compstruc.2024.107531
Sadeghi Eshkevari, S., Sadeghi Eshkevari, S., Dabbaghchian, I., Marasco, G., & Pakzad, S.N. (2024). “Spatiotemporal extrapolation for vibration to strain estimation using domain adaptation”, (IOP Pub) Journal of Physics: (2024) 182036. DOI: 10.1088/1742-6596/2647/18/182036
Dabbaghchian, I., Sadeghi Eshkevari, S., Marasco, G., & Pakzad, S.N. (2024). “Output-only response mapping of bridges for dynamic response estimation of gusset plate using convolutional neural networks”, (IOP Pub) Journal of Physics: (2024) 182033. DOI: 10.1088/1742-6596/2647/18/182033
Cronin, L., Sen, D., Marasco, G., Matarazzo, T.J., & Pakzad, S.N. (2025). “Bridge monitoring using mobile sensing data with traditional system identification techniques”, (Wiley) Computer Aided Civil and Infrastructure Engineering 2025;40:579–593. DOI: 10.1111/mice.13358
Cronin, L., Sen, D., Marasco, G., Dabbaghchian, I., Benedetti, L., Matarazzo, T., & Pakzad, S.N. (2025). “A Roadmap for Ubiquitous Crowdsourced Mobile Sensing-Based Bridge Modal Identification”, Sensors, 25(8), 2528. https://doi.org/10.3390/s25082528
Dabbaghchian, I., Matarazzo, T., Sadeghi Eshkevari, S., Cronin, L., & Pakzad, S.N. (2025). “Optimizing bridge modal property estimation via quality-driven crowdsourced smartphone data selection”, Mechanical Systems and Signal Processing 233,112735 DOI: 10.1016/j.ymssp.2025.112735
Sadeghi Eshkevari, S., Marasco, G., Sen, D., Dabbaghchian, I., & Pakzad, S.N. (2025). “Assessing uncertainty in CNN-attention-based indirect bridge strain estimation from field acceleration data”. Structure and Infrastructure Engineering, 1–15. https://doi.org/10.1080/15732479.2025.2593588
Marasco, G., Sen, D., & Pakzad, S.N. (2025). “Graph neural Networks in Structural Health Monitoring: A Scoping Review”. Journal of Computing in Civil Engineering, Accepted

Conference Proceedings

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.
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., Rocha, G.V., and Yu, B (2009). “Distributed Modal Identification of Civil Infrastructures using Restricted Auto-Regressive Models.” Proceedings of the 7th International Workshop on Structural Health Monitoring, Stanford, CA. Vol. 2, pp. 1390–1397.
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., 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.
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., 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.
Li, X., Dorvash, S., Cheng, L., and Pakzad, S.N (2010). “Pipelining in Structure 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.
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.
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., 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.
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.
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.
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 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). “Statistical Modeling Methods for Structural Damage Identification.” Proceedings of the 6th International Workshop on Advanced Smart Materials and Smart Structures Technology ANCRiSST2011, Dalian, China.
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.
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.
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 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.
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.
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.
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., 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.
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.
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., 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.
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.
Dorvash, S., and Pakzad, S.N (2013). “Significance of sensor quality on structural health monitoring results.” Proceedings of the SPIE Sensors and Smart Structures Technologies. San Diego, CA. Vol. 8692. DOI: 10.1117/12.2009828.
Chang, M., and Pakzad, S.N (2013). “Output-only System Identification Methods for Bridge Monitoring using SMIT.” Proceedings of the ASCE’s 45th Structures Congress. Pittsburgh, PA.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Peterson, K., Pakzad, S.N., Shahidi, S., Barbachyn, S., and Kurama, Y (2014). “Advanced Sensing Techniques for Damage Detection in Reinforced Concrete Structures.” Proceedings of the ASCE’s 46th Structures Congress, Boston, MA. pp. 2777–2788. DOI: 10.1061/9780784413357.243.
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.
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.
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.
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.
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.
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.
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.
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. DOI: 10.12783/SHM2015/379.
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. DOI: 10.12783/SHM2015/369.
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. DOI: 10.12783/SHM2015/279.
Gulgec, N.S., Shahidi, G., and Pakzad, S.N (2016). “Compressive Sensing Methodologies for SHM BIGDATA Problem.” Proceedings of the Society of Experimental Mechanics IMAC XXXIV, Orlando, FL.
Matarazzo, T.J., and Pakzad, S.N (2016). “High-Resolution Mode Shape Identification using Mobile Sensors.” Proceedings of the Society of Experimental Mechanics IMAC XXXIV, Orlando, FL.
Horner, M.P., and Pakzad, S.N (2016). “Structural Damage Detection Through Vibrational Feature Analysis Using Mobile Sensors.” Proceedings of the Society of Experimental Mechanics IMAC XXXIV, Orlando, FL.
Matarazzo, T.J., Pakzad, S.N., Kurata, M., and Nakashima, M (2016). “System Identification of a Large Steel Frame Using Defective Sensor Data.” Proceedings of the Geotechnical & Structural Engineering Congress, Phoenix, AZ. DOI: 10.1061/9780784479742.075.
Shahidi, G., Gulgec, N.S., and Pakzad, S.N (2016). “Compressive Sensing Approaches in Structural Damage Detection.” Proceedings of the Geotechnical & Structural Engineering Congress, Phoenix, AZ.
Horner, M.P., and Pakzad, S.N (2016). “Sensitivity Analysis of ARX Parameter-Based Features Derived from Incomplete Data for Structural Damage Detection.” Proceedings of IALCCE 2016, the Fifth International Symposium on Life-Cycle Civil Engineering, Delft, The Netherlands.
Matarazzo, T.J., and Pakzad, S.N (2016). “Compressed sensing strategy for BIGDATA in output-only system identification.” Proceedings of IALCCE 2016, the Fifth International Symposium on Life-Cycle Civil Engineering, Delft, The Netherlands.
Matarazzo, T.J., Horner, M., Koser, K., & Pakzad, S.N (2016). “Multiphase Mobile Sensor Network for Beam Health Monitoring.” (IABMAS 2016) 8th International Conference on Bridge Maintenance, Safety and Management. pp. 186.
Gulgec, N. S., Shahidi, S. G., & Pakzad, S. N (2016). A Comparative Study of Compressive Sensing Approaches for a Structural Damage Diagnosis. In Geotechnical and Structural Engineering Congress 2016 (pp. 1910–1919), Phoenix, AZ. DOI: 10.1061/9780784479742.163.
Matarazzo, T.J., Vazifeh, M., Pakzad, S.N., Santi, P., & Ratti, C (2017). “Smartphone data streams for bridge health monitoring.” International Conference on Structural Dynamics, EURODYN 2017.
Gulgec, N.S., Shahidi, S.G., Matarazzo, T.J., & Pakzad, S.N (2017). “Current Challenges with BIGDATA Analytics in Structural Health Monitoring.” Society of Experimental Mechanics IMAC XXXV. Garden Grove.
Gulgec, N.S., Takac, M., & Pakzad, S.N (2017). “Structural Damage Detection Using Convolutional Neural Networks.” Society of Experimental Mechanics IMAC XXXV. Garden Grove.
Valeti, B., Matarazzo, T.J., & Pakzad, S.N (2017). “Experimental Study on Wireless Mobile Sensor Configurations for Output-Only Modal Identification of a Beam Testbed.” Society of Experimental Mechanics IMAC XXXV. Garden Grove.
Valeti, B. & Pakzad, S.N (2017). “Automated Detection of Corrosion Damage in Power Transmission Lattice Towers Using Image Processing.” Structures Congress 2017. Denver, CO.
Gulgec, N.S., Takac M., Pakzad S.N (2017). “Structural Damage Diagnosis with Time-Varying Loads Using Convolutional Neural Network.” Proceedings of Fourth Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures. Zurich, Switzerland.
Valeti, B., & Pakzad, S.N (2018). “Remaining Useful Life Estimation of Wind Turbine Blades under Variable Wind Speed Conditions Using Particle Filters.” In PHM Society Conference (Vol. 10, No. 1). DOI: 10.36001/phmconf.2018.v10i1.481.
Sadeghi Eshkevari, S. & Pakzad, S.N (2018). “Bridge Structural Identification Using Moving Vehicle Acceleration Measurements.” Dynamics of Civil Structures, Volume 2 (pp. 251–261). DOI: 10.1007/978-3-319-74421-6_34.
Gulgec, N.S., Takáč, M., & Pakzad, S.N (2018). “Innovative Sensing by Using Deep Learning Framework.” Dynamics of Civil Structures, Volume 2 (pp. 293–300). DOI: 10.1007/978-3-319-74421-6_39.
Matarazzo, Santi, P., Pakzad, S.N., Ratti, C., and Moaveni, B (2018). “Operational Modal Identification of a Bridge and Insights from Smartphones in Moving Vehicles.” 31 May 2018, Engineering Mechanics Institute Conference, MIT, Cambridge, MA.
Valeti, B., & Pakzad, S.N (2018). “Estimation of Remaining Useful Life of a Fatigue Damaged Wind Turbine Blade with Particle Filters.” In Dynamics of Civil Structures, Volume 2 (pp. 319–328). DOI: 10.1007/978-3-319-74421-6_42.
Sadeghi Eshkevari, S. & Pakzad, S.N (2019). Signal Reconstruction from Mobile Sensors Network using Matrix Completion Approach. Topics in Modal Analysis & Testing, Volume 8 (pp. 61–75). DOI: 10.1007/978-3-030-12684-1_7.
Sadeghi Eshkevari, S., & Pakzad, S.N (2019). High-Resolution Bridge Mode Shape Identification via Matrix Completion Approach. 12th IWSHM, international workshop on structural health monitoring, Stanford, CA.
Sadeghi Eshkevari, S., Heydari, N., Kutz, J. N., Pakzad, S.N., Diplas, P., Sadeghi Eshkevari, S (2019). Operational Vision-Based Modal Identification of Structures: A Novel Framework. 12th IWSHM, international workshop on structural health monitoring, Stanford, CA.
Gulgec, N. S., Takáč, M., & Pakzad, S.N (2019). Experimental Study on Digital Image Correlation for Deep Learning-Based Damage Diagnosis. Dynamics of Civil Structures, Volume 2 (pp. 205–210). DOI: 10.1007/978-3-030-12115-0_28.
Valeti, B., & Pakzad, S.N (2020). “Uncertainty Quantification of Hybrid Data-Driven and Physics-Based Submodeling Method for Refined Response Estimation.” IMAC 2020.
Sadeghi Eshkevari, S., Sadeghi Eshkevari, S., Sen, D., & Pakzad, S.N (2021). “Structural Active Control Framework Using Reinforcement Learning.” Structural Health Monitoring 2021.
Pakzad, S.N. & Takac, M (2021). “Fatigue Life Estimation of Bridges with Smart Mobile Sensing.” CIAM-UTC-REG7.
Cronin, L., B., Sadeghi Eshkevari, S., Sen, D., & Pakzad, S.N (2021). “Transfer learning for input estimation of vehicle systems.” ICASSP 2021 IEEE International Conference on Acoustics, Speech and Signal Processing.
Sadeghi Eshkevari, S., Sadeghi Eshkevari, S., Pakzad, S.N., Muñoz-Avila, H., & Kishore, S (2022). “Routing of Public and Electric Transportation Systems Using Reinforcement Learning.” Data Science in Engineering, Volume 9: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021.
Gulgec, N. S., Takáč, M., & Pakzad, S.N (2022). “Multi-LSTM-Based Framework for Ambient Intelligence.” Dynamics of Civil Structures, Volume 2: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021.
Sadeghi Eshkevari, S., Dabbaghchian, I., Sadeghi Eshkevari, S., & Pakzad, S.N (2022). “Input Estimation of Four-DOF Nonlinear Building Using Probabilistic Recurrent Neural Network.” Data Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022.
Pakzad, S.N. & Takac, M (2022). “Smart Mobile Platform for Model Updating and Life Cycle Assessment of Bridges.” CIAM-UTC-REG20.
Sadeghi Eshkevari, S., Sen, D., Sadeghi Eshkevari, S., Dabbaghchian, I., & Pakzad, S.N (2023). “Field implementation of indirect strain sensing using acceleration response of bridges.” Engineering Mechanics Institute Conference 2023, Atlanta, GA.
Marasco, G., Sadeghi Eshkevari, S., and Pakzad S.N (2023). “Graph convolutional neural networks based strain estimation.” Proceedings of the 14th International Workshop on Structural Health Monitoring, Stanford, CA.
Dabbaghchian, I., Eshkevari, S.S., Marasco, G., and Pakzad, S.N (2023). “Output-only response mapping of bridges for dynamic response estimation of gusset plate using convolutional neural networks.” Proceedings of the EURODYN2023, Delft, Netherlands.
Eshkevari, S. S., Eshkevari, S. S., Dabbaghchian, I., Marasco, G., and Pakzad, S. N (2023). “Spatiotemporal extrapolation for vibration to strain estimation using domain adaptation.” Proceedings of the EURODYN2023, Delft, Netherlands.
Eshkevari, S.S., Dabbaghchian, I., Sen, D., Eshkevari, S.S., Marasco, G., and Pakzad, S.N (2023). “Data-driven strain estimation using acceleration measurement from Gene Hartzell Memorial bridge (SR33).” Transportation Asset and Infrastructure Management Conference, Lancaster, PA.
Uckac, M.A., Pakzad, S.N., Marasco, G (2023). “PINN-FBM for MDOF Systems.” 11. European Workshop on Structural Health Monitoring, Potsdam, Germany.
Marasco, G., Sadeghi Eshkevari, S., Dabbaghchian, I., and Pakzad, S.N (2024). “Artificial intelligence-aided life-cycle assessment strategies.” KEYNOTE ADDRESS, 10th Intelligent Systems Conference 2024, "Lecture Notes in Networks and Systems"; Amsterdam, NL.
Marasco, G., and Pakzad, S.N (2024). “AI support for bridge SHM and life cycle assessment.” KEYNOTE ADDRESS, Proceedings of the 12th International Conference on Bridge Maintenance, Safety and Management, COPENHAGEN, DK.
Marasco, G., Sen, D., Sadeghi Eshkevari, S., Dabbaghchian, I., and Pakzad, S.N (2024). “A framework for bridge condition assessment using Graph Neural Network.” Proceedings of the 12th International Conference on Bridge Maintenance, Safety and Management, COPENHAGEN, DK.
Matarazzo, T.J., Cronin , L., Dabbaghchian, I., Pakzad, S.N., G., Sadeghi Eshkevari, S., and Sen, D (2024). “Empirical study on smartphone-vehicle trip metadata and bridge modal property estimates.” Proceedings of the 12th International Conference on Bridge Maintenance, Safety and Management, COPENHAGEN, DK.
Eshkevari, S. S., Dabbaghchian, I., Sen, D., Marasco, G., and Pakzad, S.N (2024). “Analyzing Uncertainty in Strain Estimation Framework for Bridge Condition Assessment.” Proceedings of the 12th International Conference on Bridge Maintenance, Safety and Management, COPENHAGEN, DK.
Marasco, G., Sen, D., Sadeghi Eshkevari, S., and Pakzad, S.N (2024). “Towards a graph-based approach for life cycle assessment.” Proceedings of the 3rd International Conference on Resilience, Earthquake Engineering and Structural Health Monitoring, Torino, IT.
Pakzad, S.N. & Takac, M (2024). “Utilizing daily traffic as a sensor network for infrastructure health monitoring.” CIAM-COR-R50.
Marasco, G., Sen, D., and Pakzad S.N (2024). “Graph Neural Networks Based Virtual Sensing: A Machine Learning Approach for Fatigue Assessment.” Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference (EMI/PMC), Chicago, IL.
Matarazzo, T.J., & Pakzad, S.N (2024). “Bridge Modal Identification Using Crowdsourced Vibration Data from Passing Vehicles.” Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024).
Marasco, G., & Pakzad, S.N (2024). “Exploring Graph Neural Networks for Bridges SHM.” ASCE Engineering Mechanics Institute (EMI Vienna).
Marasco, G., Sen, D., Cronin , L., Dabbaghchian, I., Matarazzo, T.J., and Pakzad, S.N (2025). “Intelligent Bridge Monitoring Systems: Towards a Smart Mobile Sensing-Based Decision-Making Paradigm for Bridge Maintenance.” KEYNOTE ADDRESS, 11th Intelligent Systems Conference 2025, "Lecture Notes in Networks and Systems, vol 1553"; Amsterdam, NL.
Eshkevari, S. S., Sen, D., Eshkevari, S. S., Dabbaghchian, I., Marasco, G., and Pakzad, S.N (2025). “Utilization of Bridge Acceleration Response for Indirect Strain Sensing.” Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics.
Dabbaghchian, I., and Pakzad, S.N (2025). “Vehicle Load Identification of Bridges Using Acceleration Response Data.” Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics.

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RESEARCH PRODUCTS

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)

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.

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

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. (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.

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

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. (2014). “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.

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.

Yao, R., and Pakzad, S.N. (2014). “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.

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., 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, Volume 142, Issue 5, 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, Volume 142, Issue 5, DOI: 10.1061/(ASCE)EM.1943-7889.0001046.

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. 24: e1881. DOI: 10.1002/stc.1881

Chu, X., Ricles, J.M., and Pakzad, S.N. (2017). “Seismic fragility analysis of the Smithsonian Institute Museum Support Center Structure”, (EERI) Earthquake Spectra. February 2017, Vol. 33, No. 1, pp. 85-108. DOI: http://dx.doi.org/10.1193/123115EQS193M

Matarazzo, T.J., and Pakzad, S.N. (2018). “Scalable Structural Modal Identification Using Dynamic Sensor Network Data with STRIDEX”, (Blackwell Publishing) 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 ), Vol. 106, No. 4, 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(D), 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

Sadeghi Eshkevari, S., Pakzad, S.N., Takáč, M., &, Matarazzo, T.J. (2019). “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

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

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. (2021). "Uncertainty quantification in digital image correlation for experimental evaluation of deep learning based damage diagnostic", Structure and Infrastructure Engineering, 17:11, 1459-1473, DOI:10.1080/15732479.2020.1815224.

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. 2021;28:e2646. DOI.org/10.1002/stc.2646.

Sadeghi Eshkevari, S., Takáč, M., Pakzad, S.N. & Jahani, M. (2021) “DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction”. Engineering Structures 229, 111582. DOI: 10.1016/j.engstruct.2020.111582.

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 (2022) 108368. DOI: 10.1016/j.ymssp.2021.108368

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

Cronin, L., Sadeghi Eshkevari, S., Matarazzo, T.J., & Pakzad, S.N. (2023). “Bridge Modal Property Identification Based on Asynchronous Mobile Sensing Data”, (Sage) Structural Health Monitoring, 2023;22(3):2022-2037. DOI:10.1177/14759217221109014

Sadeghi Eshkevari, S., Sadeghi Eshkevari, S., Sen, D., & Pakzad, S.N. (2023). “Active Structural Control Framework Using Policy-Gradient Reinforcement Learning”, (Elsevier) Engineering Structures, 274 (2023) 115122. DOI: 10.1016/j.engstruct.2022.115122.

Sadeghi Eshkevari, S., Cronin, L., Matarazzo, T.J., & Pakzad, S.N. (2023). “Bridge modal property identification based on asynchronous mobile sensing data”, (Elsevier) Structural Health Monitoring. 2023;22(3):2022-2037. DOI:10.1177/14759217221109014

Cronin, L., Eshkeveri, S.S., Matarazzo, T.J., Milardo, S., Dabbaghchian, I., Santi, P., Pakzad, S.N., & Ratti, C., & (2024). “Bridging the Gap: Commodifying Infrastructure Condition Data with Crowdsensing” , (Nature) Communications Engineering (2024) 3:93. DOI: 10.21203/rs.3.rs-2992014/v1

Sadeghi Eshkevari, S., Sen, D., Sadeghi Eshkevari, S., Dabbaghchian, I., & Pakzad, S.N. (2024). “AI-enabled indirect bridge strain sensing using field acceleration data”, (Elsevier) Computers & Structures. 305 (2024) 107531. DOI:10.1016/j.compstruc.2024.107531

Sadeghi Eshkevari, S., Sadeghi Eshkevari, S., Dabbaghchian, I., Marasco, G., & Pakzad, S.N. (2024). “Spatiotemporal extrapolation for vibration to strain estimation using domain adaptation”, (IOP Pub) Journal of Physics: (2024) 182036. DOI: 10.1088/1742-6596/2647/18/182036

Dabbaghchian, I., Sadeghi Eshkevari, S., Marasco, G., & Pakzad, S.N. (2024). “Output-only response mapping of bridges for dynamic response estimation of gusset plate using convolutional neural networks”, (IOP Pub) Journal of Physics: (2024) 182033. DOI: 10.1088/1742-6596/2647/18/182033

Cronin, L., Sen, D., Marasco, G., Matarazzo, T.J., & Pakzad, S.N. (2025). “Bridge monitoring using mobile sensing data with traditional system identification techniques”, (Wiley) Computer Aided Civil and Infrastructure Engineering 2025;40:579–593. DOI: 10.1111/mice.13358

Cronin, L., Sen, D., Marasco, G., Dabbaghchian, I., Benedetti, L., Matarazzo, T., & Pakzad, S.N. (2025). “A Roadmap for Ubiquitous Crowdsourced Mobile Sensing-Based Bridge Modal Identification”, Sensors, 25(8), 2528. https://doi.org/10.3390/s25082528

Dabbaghchian, I., Matarazzo, T., Sadeghi Eshkevari, S., Cronin, L., & Pakzad, S.N. (2025). “Optimizing bridge modal property estimation via quality-driven crowdsourced smartphone data selection”, Mechanical Systems and Signal Processing 233,112735 DOI: 10.1016/j.ymssp.2025.112735

Sadeghi Eshkevari, S., Marasco, G., Sen, D., Dabbaghchian, I., & Pakzad, S.N. (2025). “Assessing uncertainty in CNN-attention-based indirect bridge strain estimation from field acceleration data”. Structure and Infrastructure Engineering, 1–15. https://doi.org/10.1080/15732479.2025.2593588

Marasco, G., Sen, D., & Pakzad, S.N. (2025). “Graph neural Networks in Structural Health Monitoring: A Scoping Review”. Journal of Computing in Civil Engineering, Accepted

Conference Proceedings

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.

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., Rocha, G.V., and Yu, B (2009). “Distributed Modal Identification of Civil Infrastructures using Restricted Auto-Regressive Models.” Proceedings of the 7th International Workshop on Structural Health Monitoring, Stanford, CA. Vol. 2, pp. 1390–1397.

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.

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., 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.

Li, X., Dorvash, S., Cheng, L., and Pakzad, S.N (2010). “Pipelining in Structure 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.

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., 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.

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.

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.

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 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). “Statistical Modeling Methods for Structural Damage Identification.” Proceedings of the 6th International Workshop on Advanced Smart Materials and Smart Structures Technology ANCRiSST2011, Dalian, China.

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.

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.

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 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.

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.

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.

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., 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.

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.

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.

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.