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Selected Publications

• Akane O. Abbasi, Xiaolu Tang, Nancy L. Harris, Elizabeth D. Goldman, Javier G. P. Gamarra, Martin Herold, Hyun Seok Kim, Weixue Luo, Carlos Alberto Silva, Nadezhda M. Tchebakova, Ankita Mitra, Yelena Finegold, Mohammad R. Jahanshahi, Cesar Ivan Alvarez, Tae Kyung Kim, Daun Ryu and Jingjing Liang, (2023). “Spatial database of planted forests in East Asia,” Scientific Data, 2023, Vol. 10, No. 1, 480, DOI: 10.1038/s41597-023-02383-w.


• Abhishek Subedi, Wen Tang, Tarutal Ghosh Mondal, Rih-Teng Wu, Mohammad R. Jahanshahi, (2023). “Ensemble-based deep learning for autonomous bridge component and damage segmentation leveraging Nested Reg-UNet,” Smart Structures and Systems, 2023, Vol. 31, No. 4, 335–349, DOI: 10.12989/sss.2023.31.4.335. [Invited article]


• Tarutal Ghosh Mondal, Mohammad R. Jahanshahi and Zheng Y. Wu, (2023), “Deep learning-based RGB-D fusion for multimodal condition assessment of civil infrastructure,” Journal of Computing in Civil Engineering, American Society of Civil Engineers (ASCE), 2023, Vol. 37, No. 4, 04023017, DOI: 10.1061/JCCEE5.CPENG-5197.


• Wen Tang, Tarutal Ghosh Mondal, Rih-Teng Wu, Abhishek Subedi, Mohammad R. Jahanshahi, (2023), “Deep learning-based autonomous post-disaster building reconnaissance leveraging channel-wise attention and semi-supervised learning,” Smart Structures and Systems, 2023, Vol. 31, No. 4, 365–381, DOI: 10.12989/sss.2023.31.4.365. [Invited article]


• Yu-Ting Huang, Mohammad R. Jahanshahi, Fangjia Shen, and Tarutal Ghosh Mondal, (2023) “Deep learning-based autonomous road condition assessment leveraging inexpensive RGB-D sensors and heterogeneous data fusion: a pothole detection and quantification case study.” Journal of Transportation Engineering, Part B: Pavements, American Society of Civil Engineers (ASCE), 2023, Vol. 149, No. 2, p.04023010, DOI: 10.1061/JPEODX.PVENG-1194.


• Tarutal Ghosh Mondal and Mohammad R. Jahanshahi, (2023), “Fusion of color and hallucinated depth features for enhanced multimodal deep learning-based damage segmentation,” Earthquake Engineering and Engineering Vibration, 2023, Vol. 22, No. 1, 55–68, DOI: 10.1007/s11803-023-2155-2.


• Fu-Chen Chen, Abhishek Subedi, Mohammad R. Jahanshahi, David Johnson and Edward Delp, (2022), “Deep learning-based building attribute estimation from Google Street View images for flood risk assessment using feature fusion and task relation encoding,” Journal of Computing in Civil Engineering, American Society of Civil Engineers (ASCE), 2022, Vol. 36, No. 6, p04022031, DOI: 10.1061/(ASCE)CP.1943-5487.0001025.


• Wen Tang, Rih-Teng Wu and Mohammad R. Jahanshahi, (2022), “Crack segmentation in high-resolution images using cascaded deep convolutional neural networks and Bayesian data fusion,” Smart Structures and Systems, 2022, Vol. 29, No. 1, 221–235, DOI: 10.12989/sss.2022.29.1.221. [Invited article]


• Rih-Teng Wu, Mehdi Jokar, Mohammad R. Jahanshahi and Fabio Semperlotti, (2022), "A physics-constrained deep learning based approach for acoustic inverse scattering problems," Mechanical Systems and Signal Processing, 2022, Vol. 164, 108190, DOI: 10.1016/j.ymssp.2021.108190.


• Mariela Fernandez-Campos, Yu-Ting Huang, Mohammad R. Jahanshahi, Wang Tao Wang, Jian Jin, Darcy Telenko, Carlos Góngora-Canul and Christian D. Cruz, (2021), “Wheat spike blast image classification using deep convolutional neural networks,” Frontiers in Plant Science, 2021, DOI: 10.3389/fpls.2021.673505.


• Elisa Bertino, Mohammad R. Jahanshahi, Ankush Singla and Rih-Teng Wu, (2021), "Intelligent IoT systems for civil infrastructure health monitoring: a research roadmap," Discover Internet of Things, 2021, Vol. 1, No. 1, 1–11, DOI: 10.1007/s43926-021-00009-4.


• Rih-Teng Wu, Ting-Wei Liu, Mohammad R. Jahanshahi, Fabio Semperlotti, (2021), "Design of one-dimensional acoustic metamaterials using machine learning and cell concatenation," Structural and Multidisciplinary Optimization, 2021, Vol: 63, No. 5, 2399–2423, DOI: 10.1007/s00158-020-02819-6..


• Fu-Chen Chen and Mohammad R. Jahanshahi, (2020), "ARF-Crack: Rotation invariant deep fully convolutional network for pixel-level crack detection machine vision and applications," Machine Vision and Applications, Vol. 31, No. 6, DOI: 10.1007/s00138-020-01098-x.


• Tarutal Ghosh Mondal and Mohammad R. Jahanshahi, (2020), "Autonomous vision-based damage chronology for spatiotemporal condition assessment of civil infrastructure using unmanned aerial vehicles," Smart Structures and Systems , Vol. 25, No. 6, 733-749, DOI: 10.12989/sss.2020.25.6.733.


• Tarutal Ghosh Mondal, Mohammad R. Jahanshahi, Rih-Teng Wu and Zheng Yi Wu, (2020), "Deep learning-based multi-class damage detection for autonomous post-disaster reconnaissance," Structural Control and Health Monitoring, in press, Vol. 27, No.4, April 2020, e250, DOI: 10.1002/stc.2507.


• Fu-Chen Chen and Mohammad R. Jahanshahi, (2019), "NB-FCN: Real-time accurate crack detection in inspection videos using deep fully convolutional network and parametric data fusion," IEEE Transactions on Instrumentation and Measurement, Vol. 69, No. 8, December 2019, 5325-5334, DOI: 10.1109/TIM.2019.2959292.


• Rih-Teng Wu, Ankush Singla, Mohammad R. Jahanshahi, Elisa Bertino, Bong Jun Ko and Dinesh Verma, (2019), "Pruning deep convolutional neural networks for efficient edge computing in condition assessment of civil infrastructures," Computer-Aided Civil and Infrastructure Engineering, Special Issue: Innovations in Structural Health Monitoring, Vol. 34, No. 9, September 2019, 774-789, DOI: 10.1111/mice.


• Srinath S. Kumar, Mingzhu Wang, Dulcy M. Abraham, Mohammad R. Jahanshahi, Tom Iseley and Jack C. P. Cheng, (2019), "Deep learning based automated detection of sewer defects in CCTV videos," Journal of Computing in Civil Engineering, American Society of Civil Engineers (ASCE), accepted.


• Ahmadreza Mahmoudzadeh, Sayna Firoozi Yeganeh, Amir Golroo and Mohammad R. Jahanshahi, (2019), "Estimating pavement roughness by fusing color and depth data obtained from an inexpensive RGB-D sensor," Sensors, accepted.


• Muhammad Ali Akbar, Uvais Qidwai and Mohammad R. Jahanshahi, (2019), "An evaluation of image based structural health monitoring using integrated UAV platform," Structural Control and Health Monitoring, in press, Vol. 26, No.1, e2276, DOI: 10.1002/stc.2276.


• Sayna Firoozi Yeganeh, Amir Golroo and Mohammad R. Jahanshahi, (2019), "Automated rutting measurement using an inexpensive RGB-D sensor fusion approach," Journal of Transportation Engineering, Part B: Pavements, American Society of Civil Engineers (ASCE), in press, Vol. 145, No. 1, March 2019, DOI: 10.1061/JPEODX.0000095.


• Rih-Teng Wu and Mohammad R. Jahanshahi, (2019), "Deep convolutional neural networks for structural dynamic response estimation and system identification," Journal of Engineering Mechanics, American Society of Civil Engineers (ASCE), in press, Vol. 145, No. 1, January 2019, DOI: 10.1061/(ASCE)EM.1943-7889.0001556.


• Uvais Qidwai, Muhammad Akbar, Muhammad Maqbool and Mohammad R. Jahanshahi, (2018), “Hierarchical inspection system using visual and MFL probe robots,” International Journal of Robotics and Automation (IJRA), Vol. 7, No. 4, 283–296, DOI: 10.11591/ijra.v7i4 .pp283-296.


• Jongseong Choi, Chul Min Yeum, Shirley J. Dyke and Mohammad R. Jahanshahi, (2018), "Computer-aided approach for rapid post-event visual evaluation of a building facade," Sensors, in press, Vol. 18, No. 9, September 2018, 3017, DOI: 10.3390/s18093017.


• Rih-Teng Wu and Mohammad R. Jahanshahi, (2018), "Data fusion approaches for structural health monitoring and system identification: past, present and future," Structural Health Monitoring, in press, DOI: 10.1177/1475921718798769.


• Srinath S. Kumar, Dulcy M. Abraham, Mohammad R. Jahanshahi, Tom Iseley and Justin Starrc, (2018), "Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks," Automation in Construction, Vol. 91, July 2018, 273-283, DOI: 10.1016/j.autcon.2018.03.028.


• Elisa Bertino and Mohammad R. Jahanshahi, (2018), "Adaptive and cost-effective collection of high-quality data for critical infrastructure and emergency management in smart cities — framework and challenges," ACM Journal of Data and Information Quality (JDIQ), Vol. 10, No. 1, May 2018, DOI: 10.1145/3190579.


• Fu-Chen Chen and Mohammad R. Jahanshahi, (2018), "NB-CNN: Deep learning-based crack detection using convolutional neural network and naïve Bayes data fusion," IEEE Transactions on Industrial Electronics, Vol. 65, No. 5, May 2018, 4392-4400, DOI: 10.1109/TIE.2017.2764844.


• Deegan J. Atha and Mohammad R. Jahanshahi, (2018), "Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection," Structural Health Monitoring, Vol 17, No. 5, September 2018, 1110-1128, DOI: 10.1177/1475921717737051.


• Mohamed Abdelbarr, Yulu Luke Chen, Mohammad R. Jahanshahi, Sami F. Masri, Wei-Men Shen and Uvais A. Qidwai (2017), "3D dynamic displacement-field measurement for structural health monitoring using inexpensive RGB-D based sensor," Smart Materials and Structures, in press, Vol. 26, No. 12, November 2017, DOI: 10.1088/1361-665X/aa9450.


• Mohammad R. Jahanshahi, Wei-Men Shen, Tarutal Ghosh Mondal, Mohamed Abdelbarr, Sami F. Masri and Uvais A. Qidwai, (2017), "Reconfigurable swarm robots for structural health monitoring: a brief review," International Journal of Intelligent Robotics and Applications, Vol. 1, No. 3, November 2017, 287-305., DOI: 10.1007/s41315-017-0024-8.


• Mohammad R. Jahanshahi, Fu-Chen Chen, Adnan Ansar, Curtis Padgett, Daniel Clouse and David Bayard, (2017), "Accurate and robust scene reconstruction in the presence of misassociated features for aerial sensing," Journal of Computing in Civil Engineering, American Society of Civil Engineers (ASCE), in press, Vol. 31, No. 6, November 2017, DOI: 10.1061/(ASCE)CP.1943-5487.0000702.


• Yulu Luke Chen, Mohamed Abdelbarr, Mohammad R. Jahanshahi and Sami F. Masri, (2017), "Color and depth data fusion using an RGB-D sensor for inexpensive and contactless dynamic displacement-field measurement," Structural Control and Health Monitoring, in press, Vol. 24, No. 11, November 2017, DOI: 10.1002/stc.2000. [Winner of the Kobori Prize Award 2017]


• Fu-Chen Chen, Mohammad R. Jahanshahi, Rih-Teng Wu and Chris Joffe, (2017), "A texture-based video processing methodology using Bayesian data fusion for autonomous crack detection on metallic surfaces," Computer-Aided Civil and Infrastructure Engineering, Vol. 32, No. 4, April 2017, 271-287, DOI: 10.1111/mice.12256.publications.html.


• Mohammad R. Jahanshahi, Fu-Chen Chen, Chris Joffe and Sami F. Masri, (2017), "Vision-based quantitative assessment of microcracks on reactor internal components of nuclear power plants," Structure and Infrastructure Engineering, Vol. 13, No. 8, 1013-1026, DOI: 10.1080/15732479.2016.1231207.


• Yulu Chen, Mohammad R. Jahanshahi, Preetham A. Manjunatha, Mohamed Abdelbarr, WeiPhang Gan, John P. Caffrey, Sami F. Masri and Burcin Becerik-Gerber, (2016), "Inexpensive multimodal sensor fusion system for autonomous data acquisition of road surface conditions," IEEE Sensors Journal, Vol. 16, No. 21, August 2016, 7731-7743, DOI: 10.1109/JSEN.2016.2602871.


• Mohammad R. Jahanshahi and Sami F. Masri, (2013), "A new methodology for non-contact accurate crack width measurement through photogrammetry for automated structural safety evaluation," Smart Materials and Structures, in press, Vol. 22, No. 3, DOI: 10.1088/0964-1726/22/3/035019.


• Mohammad R. Jahanshahi, Farrokh Jazizadeh, Sami F. Masri and Burcin Becerik-Gerber, (2013), "Unsupervised approach for autonomous pavement defect detection and quantification using an inexpensive depth sensor," Journal of Computing in Civil Engineering, American Society of Civil Engineers (ASCE), Vol. 27, No. 6, November 2013, 743-754, DOI: 10.1061/(ASCE)CP.1943-5487.0000245.


• Mohammad R. Jahanshahi and Sami F. Masri, (2013), "Parametric performance evaluation of wavelet-based corrosion detection algorithms for condition assessment of civil infrastructure systems," Journal of Computing in Civil Engineering, American Society of Civil Engineers (ASCE), Vol. 27, No. 4, July 2013, 345-357, DOI: 10.1061/(ASCE)CP.1943-5487.0000225.


• Mohammad R. Jahanshahi, Sami F. Masri, Curtis W. Padgett and Gaurav S. Sukhatme, (2013), "An innovative methodology for detection and quantification of cracks through incorporation of depth perception," Machine Vision and Applications, Vol. 24, No. 2, February 2013, 227-241, DOI: 10.1007/s00138-011-0394-0.


• Mohammad R. Jahanshahi and Sami F. Masri, (2012), "Adaptive vision-based crack detection using 3D scene reconstruction for condition assessment of structures," Automation in Construction, Vol. 22, March 2012, 567-576, DOI: 10.1016/j.autcon.2011.11.018.


• Mohammad R. Jahanshahi and Sami F. Masri and Gaurav S. Sukhatme, (2011), "Multi-image stitching and scene reconstruction for evaluating defect evolution in structures," Structural Health Monitoring, Vol. 10, No. 6, November 2011, 643-657, DOI: 10.1177/1475921710395809.


• Mohammad R. Jahanshahi, Jonathan S. Kelly, Sami F. Masri and Gaurav S. Sukhatme, (2009), "A survey and evaluation of promising approaches for automatic image-based defect detection of bridge structures," Structure and Infrastructure Engineering, Vol. 5, No. 6, December 2009, 455-486, DOI: 10.1080/15732470801945930.

Patents

• Fu-Chen Chen and Mohammad R. Jahanshahi, (2019), "Methods and systems for crack detection using a fully convolutional network," pending.


• Fu-Chen Chen and Mohammad R. Jahanshahi, (2020), "Methods and systems for crack detection," US10753881 B1.


• Mohammad R. Jahanshahi, Farrokh Jazizadeh, Sami F. Masri and Burcin Becerik-Gerber, (2015), "Autonomous pavement condition assessment system," US20130155061 A1.


• Mohammad R. Jahanshahi and Sami F. Masri, (2015), "Image-based crack quantification," US20130034305 A1.


• Mohammad R. Jahanshahi and Sami F. Masri, (2013), "Image-based crack detection," US20130034298 A1.

Invited Talks/Workshops

• Tutorial on advances in computer vision-based crack assessment, IMAC-XXXIX Society for Experimental Mechanics Conference, February 9, 2021, Online.


• Research Webinar on Smart City and Resilience, Bentley Systems Inc., September 2019.


• Research Webinar on Advanced Monitoring and Modeling, Bentley Systems Inc., September 2018.


• Conference on Machine Learning in Science and Engineering, Carnegie Mellon University, Pittsburgh, PA, June 7-8, 2018.


• GPU Technology Conference, NVIDIA, San Jose, CA, May 2017.


• Syracuse University, Syracuse, NY, December 2016.


• SPRINT Robotics Seminar on "the global outlook on inspection and maintenance robotics," Chevron, Houston, TX, April 4-5, 2016.


• University of Michigan, Ann Arbor, MI, December 2015.


• Purdue University, West Lafayette, IN, May 2014.


• University of California, Los Angeles, CA, April 2014.


• University of California, Irvine, CA, April 2014.


• Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, September 2013.


• University of Arizona, Tucson, AZ, April 2013.


• Southern Methodist University, Dallas, TX, February 2013.


• University of Notre Dame, Notre Dame, IN, January 2013.


• Georgia Institute of Technology, Atlanta, GA, December 2012.


• McMaster University, Hamilton, ON, Canada, November 2012.


• Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, August 2012.


• Workshop focusing on "Global policies for infrastructure monitoring and management (GPIMM): a paradigm shift in lifecycle costs and optimization of resources." Purdue University, West Lafayette, IN, August 16-17, 2012.


• Louisiana State University, Baton Rouge, LA, May 2012.


• The Ohio State University, Columbus, OH, April 2012.


• University of Washington, Seattle, WA, April 2012.


• Special session on noncontact measurement, SPIE Smart Structures/NDE, San Diego, CA, March 15, 2012.


• Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, December 2010.

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