Welling*, S., and Sinha, S.K., (2013). “A Cost Data Standard for Drinking Water Pipeline Infrastructure Renewal Engineering,” International Journal of Modern Engineering Research, IAJC Publication (Paper accepted with minor editorial revisions: July 24, 2013).
Rathor*, A., and Sinha, S.K., (2013). “Web-based Benchmarking Preliminary Analysis for Water Utilities in the United States,” Journal of American Water Works Association, AWWA Publication (Paper accepted for publication: June 24, 2013).
Gay*, L.F., and Sinha, S.K., (2013) “Resilience of Civil Infrastructure Systems: A State-of-the-Art Literature Review toward Improved Asset Management,” International Journal of Critical Infrastructures, InderScience Publishers (Paper accepted to be published in the forthcoming issue:http://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijcis).
Gay*, L.F., and Sinha, S.K., (2013) “Stochastic Simulation Methodology for Resilience Assessment of Water Distribution Networks,” International Journal of Critical Infrastructures, InderScience Publishers (Paper accepted to be published in the forthcoming issue:http://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijcis).
Angkasuwansiri*, T., and Sinha, S.K., (2013) “Comprehensive list of Parameters Affecting Wastewater Pipe Performance,” The International Journal of Engineering Research and Innovation (IJERI), (Paper accepted for publication: April 23, 2013).
St. Clair*, A.M., and Sinha, S.K., (2013). “Development of a Fuzzy Inference Performance Index for Ferrous Drinking Water Pipelines,” ASCE Journal of Pipeline Infrastructure Systems and Practice, (Paper accepted with minor editorial revisions: May 14, 2013).
St. Clair*, A.M., and Sinha, S.K., (2012). “State-of-the-Technology Review on Water Pipe Condition, Deterioration, and Failure Rate Prediction Models,” Journal of Urban Water, Taylor and Francis, vol. 9, no. 2, pp. 85-112.
Iyer*, S., Sinha, S. K., and Tittmann, B. R., (2012). ‘Ultrasonic Signal Processing Methods for Detection of Defects in Concrete Pipes,’ Journal of Automation in Construction, Elsevier Publication, vol. 22, pp. 135-148.
Iyer*, S., Sinha, S. K., and Tittmann, B. R., (2012). ‘Evaluation of Ultrasonic Inspection and Imaging Systems for Concrete Pipes,’ Journal of Automation in Construction, Elsevier Publication, vol. 22, pp. 149-164.
Jung*, Y.J., and Sinha, S. K. (2012). ‘Evaluation of Subsurface Utility Engineering for Highway Projects: Benefit–Cost Analysis,’ International Journal of Tunneling and Underground Space Technology, Elsevier Publication vol. 27, issue 1, pp. 111-122.
Alanis*, L.G., and Sinha, S.K., (2011). ‘Measuring the Energy Efficiency of Water Utilities”, ASCE Journal of Infrastructure Systems, vol. 1, no. 2, pp. 43-61.
Jung*, Y.J., and Sinha, S. K. (2009). “Utility Impact Rating with Subsurface Utility Engineering in Project Development,” Canadian Journal of Civil Engineering, vol. 36, pp. 1744–1754.
Jung*, Y.J., and Sinha, S. K. (2007). ‘Critical Analysis of Modern Trenchless Technology Methods for Urban Infrastructure,’ ASCE Journal of Infrastructure Systems, vol. 13, no. 2, pp. 144-156.
Sinha, S.K., and McKim, R. A. (2007). ‘Probabilistic Based Integrated Pipeline Management System,’ International Journal of Tunneling and Underground Space, Elsevier Publication, vol. 22, no. 5-6, pp. 543-552.
Sinha, S.K., and Wang, M. C. (2007). ‘Artificial Neural Network Prediction Models for Soil Compaction and Permeability,’ Journal of the Geotechnical and Geological Engineering, Springer Publication, vol. 27, pp. 1573-1529.
Sinha, S.K., Thomas, R. H., and Kulka, J. H. (2007). ‘Integrating Ethics into Engineering Design of Construction Process,’ ASCE Journal of Professional Issues in Engineering Education, vol. 133, no. 4, pp. 291-299.
Pedrick*, M., Iyer*, S., Tittmann, B. R., and Sinha, S.K., (2007). “Ultrasonic Discontinuity Detection in Thin-Walled Concrete,” Journal of Materials Evaluation, The American Society for Nondestructive Testing (ASNT), vol. 65, no. 9, pp. 923-928.
Sinha, S.K., and Fieguth, P. W. (2006). ‘Segmentation of Buried Concrete Pipe Images,’ Journal of Automation in Construction, Elsevier Publication, vol. 15 (1), pp. 47-57.
Sinha, S.K., and Fieguth, P. W. (2006). ‘Automated detection of Cracks in Buried Concrete Pipe Images,’ J. of Automation in Construction, Elsevier Publication vol. 15 (1), pp. 58-72.
Sinha, S.K., and Fieguth, P. W. (2006). ‘Neuro-fuzzy Network for the Classification of Buried Pipe Defects,’ Automation in Construction, Elsevier Pub., vol. 15 (1), pp. 73-83.
Ok*, S. C., and Sinha, S. K. (2006). ‘Construction Equipment Productivity Estimation Using Artificial Neural Network Model,’ Journal of Construction Management & Economics, Taylor & Francis, vol. 24, no. 10, pp. 1029-1044.
Thomas, R.H., Riley, D. R., and Sinha, S. K. (2006). ‘Fundamental Principles for Avoiding Congested Work Areas on Masonry Work – A Case Study,’ ASCE Journal of Practical Periodical on Structural Design and Construction, vol. 11, no. 4, pp. 197-205.
Iyer*, S, and Sinha, S. K. (2006). ‘Segmentation of Pipe Images for Crack Detection in Buried Sewers,’ Computer-Aided Civil and Infrastructure Engineering, Blackwell Publication, vol. 21, no. 2, pp. 395-410.
Sinha, S.K., and Fieguth, P. W. (2006). ‘Morphological Segmentation and Classification of Underground Pipe Images,’ Machine Vision and Applications, Springer-Verlag Publication, vol. 17(1), pp. 21 – 31.
Iyer*, S., and Sinha, S. K. (2005). ‘Automated Condition Assessment of Buried Sewer Pipes Based on Digital Imaging Techniques,’ The Journal of the Indian Institute of Science (IISc), Bangalore, India, vol. 85, no. 5, pp. 235-252.
Lee, D., Pietrucha, M. T., and Sinha, S. K., (2005). ‘Application of Fuzzy Logic to Evaluate Driver Perception of Variable Message Signs,’ Journal of Transportation Research Record, TRB, 1937, pp. 96-104.
Iyer*, S, and Sinha, S. K. (2005). ‘A Robust Approach for Automatic Detection & Segmentation of Cracks in Underground Pipeline Images,’ Journal of Image and Vision Computing, Elsevier Publication, vol. 23 (10), pp. 921-933.
Iyer*, S., Sinha, S. K., and Schokker, A. J., (2005). ‘Ultrasonic Imaging of Post-Tensioned Bridges to Investigate Corrosion Status,’ Journal of Computer-Aided Civil & Infrastructure Engineering, Blackwell Publication, vol. 20, no. 2, pp. 79-94.
Sinha, S.K., and Knight, M. K., (2004). ‘Development of an Intelligent System for Underground Pipeline Management,’ Journal of Computer-Aided Civil & Infrastructure Engineering, Blackwell Publication, vol. 19, no. 1, pp. 42-53.
Iyer*, S., Schokker, A. J., and Sinha, S. K., (2003). ‘Ultrasonic Imaging-A Novel Way to Investigate Corrosion Status in Post-Tensioned Concrete Bridges,’ The Journal of the Indian Institute of Science, Bangalore, India, vol. 82, pp. 197-217.
Sinha, S.K., Fieguth, P. W., and Polak, M. A., (2003). ‘Computer Vision Techniques for Automatic Structural Assessment of Underground Pipes,’ Journal of Computer-Aided Civil & Infrastructure Engineering, Blackwell, vol. 18, no. 1, pp. 95-112.
Iyer*, S., Schokker, A. J., and Sinha, S. K., (2003). ‘Ultrasonic C-Scan Imaging: Preliminary Evaluation for Detecting Corrosion and Voids in Post-Tensioning Tendons,’ Transportation Research Record, TRB, no. 1827, pp. 44-52.
Sinha, S.K. (2003). ‘Automated Condition Assessment of Buried Pipelines Using Computer Vision Techniques, Journal of the Institution of Engineers (India), Computer Engineering, vol. 85, pp. 38-43.
Sinha, S.K., and Pandey, M., (2002). ‘Probabilistic Neural Network for Reliability Assessment of Underground Pipeline Systems,’ Computer-Aided Civil and Infrastructure Engineering, Blackwell Publication, vol. 17, no. 5, pp. 320-329.
Sinha, S.K., and Karray, F. (2002). ‘Classification of Underground Pipe Scanned Images Using Feature Extraction and Neuro-fuzzy Algorithms,’ IEEE Transactions on Neural Networks, vol. 13, no.2, pp. 393-401.
Sinha, S.K., and McKim, R. A., (2000). ‘Artificial Neural Networks for Measuring Organizational Effectiveness,’ ASCE Journal of Computing in Civil Engineering, vol. 14, no.1, pp. 9-14.
McKim, R.A., and Sinha, S. K., (1999). ‘Condition Assessment of Underground Sewer Pipes Using Digital Image Processing,’ International Journal of Tunneling and Underground Space, Official Journal of the International Society of Trenchless Technology, Elsevier Science Publishers, vol. 14, no. 2, pp. 29-37.
