M. C. Deo

M. C. Deo works as a Professor of civil engineering in IIT, Bombay. His current research interest belongs to applications of artificial intelligence techniques such as neural networks, genetic programming, model tress, support vector machines, and locally weighted learning, to analyze and forecast oceanographic data, such as waves, wind, tide, currents, sediment movement. He has about 25 years of experience in teaching, research, and consultancy and has guided a number of students for their Ph.D. and M.Tech. theses. He has published over 100 papers so far in leading journals and conference proceedings. Dr. Deo is on the editorial boards of three international and one national journal, including the ASCE Journal of Computing in Civil Engineering. He also acts currently as President of the Indian Society for Hydraulics.

Biography Updated on 10 March 2008

Personal Home Page

http://www.civil.iitb.ac.in/~mcdeo/

Articles in Scholarly Journals [Incomplete List]

  1. Filling up gaps in wave data with genetic programming
    Marine Structures, 2008
  2. Real-time wave forecasts off the western Indian coast
    Applied Ocean Research, vol. 29, no. 1-2, pp. 72–79, 2007
  3. Genetic programming for retrieving missing information in wave records along the west coast of India
    Applied Ocean Research, vol. 29, no. 3, pp. 99–111, 2007
  4. Suitability of different neural networks in daily flow forecasting
    Applied Soft Computing, vol. 7, no. 3, pp. 968–978, 2007
  5. Derivation of coastal wind and wave parameters from offshore measurements of TOPEX satellite using ANN
    Coastal Engineering, vol. 54, no. 3, pp. 187–196, 2007
  6. Authors’ reply to the discussion by, M. Ozger and A. Altunkaynak on: Estimation of wave spectral shapes using ANN by, R. Naithani and M.C. Deo
    Advances in Engineering Software, vol. 38, no. 1, pp. 69–69, 2007
  7. Soft and hard computing approaches for real-time prediction of currents in a tide-dominated coastal area
    Proceedings of the Insitution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, vol. 221, no. 4, pp. 147–163, 2007
  8. Neural network–genetic programming for sediment transport
    Maritime Engineering, vol. 160, no. 3, pp. 113–119, 2007
  9. Application of Artificial Neural Network Model in Estimation of Wave Spectra
    Journal of Waterway, Port, Coastal, and Ocean Engineering, vol. 132, no. 5, p. 415, 2006
  10. RBF network for spatial mapping of wave heights
    Marine Structures, vol. 18, no. 3, pp. 289–300, 2005
  11. Neural Networks for Estimation of Scour Downstream of a Ski-Jump Bucket
    Journal of Hydraulic Engineering, vol. 131, no. 10, p. 898, 2005
  12. Estimation of wave spectral shapes using ANN
    Advances in Engineering Software, vol. 36, no. 11-12, pp. 750–756, 2005
  13. Artificial neural network to translate offshore satellite wave data to coastal locations
    Ocean Engineering, vol. 32, no. 16, pp. 1917–1932, 2005
  14. Design wave estimation considering directional distribution of waves
    Ocean Engineering, vol. 31, no. 17-18, pp. 2343–2352, 2004
  15. Wave parameter estimation using neural networks
    Marine Structures, vol. 17, no. 7, pp. 536–550, 2004
  16. Artificial Neural Networks for Wave Propagation
    Journal of Coastal Research, vol. 20, no. 4, p. 1061, 2004
  17. Neural-Network Approaches to Electromagnetic-Based Modeling of Passive Components and Their Applications to High-Frequency and High-Speed Nonlinear Circuit Optimization
    IEEE Transactions on Microwave Theory and Techniques, vol. 52, no. 1, pp. 436–449, 2004
  18. Forecasting wind with neural networks
    Marine Structures, vol. 16, no. 1, pp. 35–49, 2003
  19. Estimation of pile group scour using neural networks
    Applied Ocean Research, vol. 25, no. 4, pp. 225–234, 2003
  20. Wave tranquility studies using neural networks
    Marine Structures, vol. 16, no. 6, pp. 419–436, 2003
  21. Prediction of breaking waves with neural networks
    Ocean Engineering, vol. 30, no. 9, pp. 1163–1178, 2003
  22. Analysis of Wave Directional Spreading Using Neural Networks
    Journal of Waterway, Port, Coastal, and Ocean Engineering, vol. 128, no. 1, p. 30, 2002
  23. On-line wave prediction
    Marine Structures, vol. 15, no. 1, pp. 57–74, 2002
  24. Neural networks for wave forecasting
    Ocean Engineering, vol. 28, no. 7, pp. 889–898, 2001
  25. Interpolation of wave heights
    Ocean Engineering, vol. 27, no. 9, pp. 907–919, 2000
  26. Directional spread parameter at intermediate water depth
    Ocean Engineering, vol. 27, no. 8, pp. 889–905, 2000
  27. Hydrological Forecasting Using Neural Networks
    Journal of Hydrologic Engineering, vol. 5, no. 2, p. 180, 2000
  28. Estimation of wave directional spreading in shallow water
    Ocean Engineering, vol. 26, no. 1, pp. 83–98, 1999
  29. Real time wave forecasting using neural networks
    Ocean Engineering, vol. 26, no. 3, pp. 191–203, 1998
  30. River Stage Forecasting Using Artificial Neural Networks
    Journal of Hydrologic Engineering, vol. 3, no. 1, p. 26, 1998
  31. Wave Height Estimation Using Disaggregation Models
    Journal of Waterway, Port, Coastal, and Ocean Engineering, vol. 123, no. 2, p. 63, 1997