Virginia Tech® home

Sunil K. Sinha

Sunil Sinha
117-C Patton Hall
Blacksburg, VA, USA 24061
Mail Code: (0105)

Program Area : Construction Engineering and Management
Personal Homepage : http://www.swim.cee.vt.edu/

Area of Interest

Water and Wastewater Infrastructure Systems, Asset Management, Cyber Infrastructure, Pattern Recognition, Artificial Intelligence, Sensor Informatics, Information Visualization, Subsurface Utility Engineering, Rehabilitation and Renewal Engineering.

  • BE, Civil Engineering, Birla Institute of Technology, India
  • MASc, Civil Engineering, University of Waterloo, Ontario, Canada
  • PhD, Civil & Systems Design Engineering, University of Waterloo, Ontario, Canada
  • 2014 - present, Professor, Civil & Environmental Engineering, Virginia Tech
  • 2008 - present, Director, Sustainable Water Infrastructure Management (SWIM) Center, Virginia Tech
  • 2007 - 2014, Associate Professor, Civil & Environmental Engineering, Virginia Tech
  • 2001 - 2007, Assistant Professor, Civil & Environmental Engineering, Penn State
  • 2000 - 2001, Post-doctoral Fellow, Systems Design, University of Waterloo, Canada
  • 1996 - 2000, Research Assistant, Civil & Computer Engineering, University of Waterloo
  • 1987 - 1996, Project Engineer, World Bank Cell, Govt. of India, New Delhi
  • National Science Foundation (NSF) CAREER Award
  • Natural Sciences & Engineering Research Council (NSERC), Canada - Post-Doctoral Fellowship
  • Natural Sciences & Engineering Research Council (NSERC), Canada - Doctoral Postgraduate Scholarship
  • Natural Sciences & Engineering Research Council (NSERC), Canada - Industrial Postgraduate Scholarship
  • Ontario Graduate Scholarship (OGS), Ontario, Canada
  • CEE 5084 : Information Technology for Infrastructure and Environmental Systems
  • CEE 2804 : Introduction to Civil and Environmental Engineering
  • CEE 4014 : Estimating, Production and Cost Engineering
  • CEE 5080 : Infrastructure Asset Management
  • (02/2006-01/2011) Sustainable Water Infrastructure Management System (SWIMS), NSF Career Award; $429,992
  • (08/2007-12/2010) Development of Performance Prediction Model for Buried Pipes, WERF; $325,000
  • (01/2008-12/2010) Condition Assessment of Water Transmission and Distribution System, US EPA; $150,000
  • (05/2008-12/2010) Rapair and Rehabilitation of Water and Watsewater Pipes, US EPA; $162,000
  • (06/2007-05/2008) Condition Rating System for Buried Pipes; 3RWWP; $55,000
  • (07/2007-07/2008) Web-based Municipal Infrastructure Asset Management System, UE EPA; $70,000
  • (08/2005-05/2007) Ultrasonic Inspection of Water & Sewer Pipes, TTC; $225,000
  • (08/2005-05/2007) Automated Image Analysis of CCTV Inspection, PB, Inc.; $83,000
  • (01/2006-05/2007) Virtual Construction of Civil Infrastructure, Autodesk, Inc.; $70,000
  • (07/2006-07/2007) Subsurface Utility Engineering for Highway, Penn DOT; $145,000
  • (01/2006-12/2006) MFL Signal Processing of Oil & Gas Pipeline, BJ Pipeline; $77,000
  • (08/2004-03/2006) Avoiding Delays during the Construction Phase of Highway Projects, NCHRP; $250,000
  • 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 Wang, M. C. (2007). ‘Artificial Neural Network Prediction Models for Soil Compaction & Permeability,’ Journal of the Geotech and Geological Eng., Springer, vol. 27, pp. 1573-1529.
  • Sinha, S. K., and McKim, R. A. (2007). ‘Probabilistic Based Integrated Pipeline Management System,’ Journal of the International Society of Trenchless Technology, Elsevier, vol. 22, no. 5-6, pp. 543-552.
  • Sinha, S. K., Thomas, R. H., and Kulka, J. H. (2007). ‘Integrating Ethics into Engineering Design of Construction Process,’ ASCE Jornal of Proffesional Issues in Engineering Education, vol. 133, no. 4, pp. 291-299.
  • Ok, S. C., and Sinha, S. K. (2006). ‘Estimating Construction Equipment Productivity: An Artificial Neural Network Based Approach,’ Journal of Construction Management & Economics, Taylor & Francis, vol. 24, no. 10, pp. 1029-1044.
  • Sinha, S. K., and Fieguth, P. W. (2006). ‘Morphological Segmentation & Classification of Underground Pipe Images,’ Journal of Machine Vision & Applications, Springer-Verlag, vol.17(1), pp.21 – 31.
  • 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 Ressearch Record, TRB, vol. 1937, pp. 96-104.
  • Iyer, S, and Sinha, S. K. (2005). ‘A Robust Approach for Automatic Detection & Segmentation of Cracks in Buried Pipeline Images,’ Journal of Image & Vision Computing, Elsevier, vol. 23 (10), pp. 921-933,
  • Sinha, S. K., and Fieguth, P. W. (2005). ‘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. (2005). ‘Automated Identification of Crack Defects in Buried Concrete Pipe Images,’ Journal of Automation in Construction, Elsevier, vol. 15(1), pp. 58-72.
  • Sinha, S. K., and Fieguth, P. W. (2005). ‘Projection Neural Network Model for Classification of Pipe Defects,’ Journal of Automation in Construction, Elsevier, vol. 15(1), pp. 73-83.
  • 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(2), pp. 393-401.