Department of Civil Engineering

IIT Madras

Civil Engineering

 

 

Faculty

Environmental and Water Resources Engineering Division

Dr. K. P. Sudheer

Name:

 

Dr. K. P. Sudheer

Designation:

 

Associate Professor

Office Address:

 

EWR 28

Office Hours:

 

08:00 - 18:00

Phone number:

 

+91 - 44 - 2257 4288 (Office)

e-mail address(es):

 

sudheer@iitm.ac.in

Personal home page:

 

 

 

Dr. K. P. Sudheer

 

 

Education:

 

 

  • B. Tech: Kerala Agricultural University, 1991
  • M. Tech: Indian Institute of Technology Kharagpur, 1994
  • Ph D.: Indian Institute of Technology Delhi, 2000

 

 

 

Professional Experience:

 

 

From November 1996 to December 2002 (6 Years 1 Month)

Scientist with the Deltaic Regional Centre, Kakinada of National Institute of Hydrology (NIH), Roorkee. The NIH is a premier research organization in the filed of hydrology under the Ministry of Water Resources, Govt. of India. The nature of duty involved research and development activities in the field of hydrology. Major responsibilities include processing and analysis of data, database design, development and validation of hydrologic simulation models.

From January 2003 to May 2003 (5 Months) 

Visiting Faculty with Indian Institute of Technology Kanpur, Kanpur in the Department of Civil Engineering. Major responsibilities included teaching undergraduate and graduate students, and conducting regular research studies.

From May 2003 to March 2009

Assistant Professor with Indian Institute of Technology Madras, Chennai in the Department of Civil Engineering. Major responsibilities include teaching undergraduate and graduate students, supervising Masters and Ph D research work, conducting regular research programmes.

From March 2009 till date

Associate Professor with Indian Institute of Technology Madras, Chennai in the Department of Civil Engineering. Major responsibilities include teaching undergraduate and graduate students, supervising Masters and Ph D research work, conducting regular research programmes.

From 2005 February to 2005 July

Visiting Faculty under BOYSCAST fellowship of Govt. of India at the Department of Biological and Agricultural Engineering Department, University of Arkansas, Fayetteville, USA. The visit was for a specific research assignment.

From 2007 May to 2007 July & From 2008 May to July 2008

Visiting Research Scientist at the Department of Biological and Agricultural Engineering Department, Purdue University, West Lafayette, USA under a collaborative project.

 

 

 

Areas of expertise:

 


Hydrologic Modeling, Hydrologic Forecasting, Predictions in ungauged basins, Water Resources Engineering

 

 

 

Most recently taught courses at IIT Madras and elsewhere:

 


IIT Madras

  • Water Resources Engineering
  • Water Resources Project Planning and Design
  • Irrigation Technology
  • Simulation Modeling in Water Resources
  • Hydraulics Laboratory
  • Hydro-systems Laboratory

Elsewhere

  • Computational Methods for Engineers

 

 

Awards:

 

 

  • Best ‘Discussion Paper Award”, Journal of Hydrologic Engineering, ASCE, USA (2006).
  • BOYSCAST Fellowship, Department of Science & Technology, India. (2004-05)
  • INAE Young Engineer Award – 2004, Indian National Academy of Engineering.
  • Indian National Science Academy (INSA) Visiting Scientists Fellowship (2001-02)
  • Indian Institute of Technology, Delhi Fellowship for research studies (1994-1996)
  • Ministry of HRD fellowship for PG Studies (GATE, 1991-1993)
  • Kerala Agricultural University Merit Scholarship (1987-1991)
  • Calicut University Merit Scholarship (1985-1987)
  • State Merit Scholarship for outstanding students in SSLC (Selected in 1985)
  • National Merit Scholarship for talented children from rural areas (1983-85)

 

 

 

Research Interests:

 

 

  • Hydrologic Modeling
  • Flood Forecasting
  • Stochastic Hydrology
  • Application of Soft Computing Techniques in Hydrology
  • Artificial Neural Network & Fuzzy Logic Applications
  • Irrigation Water Management

 

 

 

Current Research:

 

 

  • Knowledge extraction from soft computing based hydrologic models
  • Hybrid intelligent systems for flood forecasting
  • Predictions in ungauged basins
  • Sensitivity and uncertainty analysis

 

 

 

Most recently published papers:

 

 

REFEREED INTERNATIONAL JOURNALS

 

Communicated

 

1.      Cibin, R., Athira, P., Sudheer, K. P. and Chaubey, I. (200x). An effective approach to minimize predictive uncertainty of distributed hydrological models for their application in ungauged basins, Water Resources Research (in review)

2.      Prakash, O., Sudheer, K. P., and Srinivasan, K. (200x). Improved higher lead time river flow forecasts using sequential neural network with error updating. Water Resources Research (in review).

3.      Sudheer, K. P., Lakshmi, G., and Chaubey, I. (200x). A nonlinear sensitivity analysis method for pruning calibration parameters in complex watershed models. Environmental Modeling and Software (in review).

4.      Nayak, P. C., Sudheer, K. P., and Jain, S. K. (200X). “River Flow Forecasting through nonlinear local approximation in a fuzzy model”. Journal of Hydrology (in review).

5.      Srivastav, R. K., Srinivasan, K., and Sudheer, K. P. (200X). Automation of Stochastic Modeling of Streamflows using Multi-Objective Framework. Journal of Hydrology (in review).

6.      Padmini, D, Ilamparuthi, K., and Sudheer, K. P. (2008). Prediction of Pullout Capacity of Circular Anchors embedded in Cohesionless Soils Using Neurofuzzy System. Journal of Applied Soft Computing (in review).

7.      Athira, P., Cibin, R., and Sudheer, K. P. (200X). A Multi-criterion Based Approach to Quantify Predictive Uncertainty of Distributed Hydrologic Models When Applied to Ungauged Basins. Advances in Geosciences (in review).

 

Published/In Press

 

2010

8.      Mohanty, S., Jha, M. K., Kumar, A., and Sudheer, K. P. (2010). Artificial Neural Network Modeling for Groundwater Level Forecasting in Kathajodi River Basin of Orissa, India. Water Resources Management (Abstract). DOI: 10.1007/s11269-009-9527-x.

9.      Cibin, R., Sudheer, K. P. and Chaubey, I. (2010). Sensitivity and Identifiability of stream flow generation parameters of the SWAT model. Hydrological Processes. (Abstract)

10. Sudheer, K. P, Gowda, P.H., Chaubey, I and Howell, T. A. (2010). Artificial Neural Network approach for mapping contrasting tillage practices, Remote Sensing, 2(2), 579-590, doi:10.3390/rs2020579. (Abstract)

11. Maier, H. R., Jain, A., Dandy, G. C. and Sudheer, K. P. (2010). Methods used for the development of neural networks for the prediction of water resources variables in river systems: Current status and future directions. Environmental Modeling and Software. (Available online)

 

2009

12. Soundhrajan, B. and Sudheer, K. P. (2009). Deficit Irrigation Management for Rice using Crop Growth Simulation Model in an Optimization Framework. Paddy and Water Environment, 7(2): 135-149. (Abstract)

2008

13. Jain, S. K., and Sudheer, K. P. (2008). Fitting of Hydrologic Models: A Close Look at The Nash-Sutcliffe Index. Journal of Hydrologic Engineering, ASCE, 13(10): 981-986. (Abstract)

14. Nayak, P. C. and Sudheer, K. P. (2008). Fuzzy model identification based on cluster estimation for reservoir inflow forecasting. Hydrological Processes 22(6): 827-841. (Abstract)

15. Sudheer, K. P., Srinivasan, K., Neelakanthan, T. R., and Srinivas, V. V. (2008). A nonlinear data-driven model for synthetic generation of annual streamflows. Hydrological Processes 22(12): 1831-1845. (Abstract)

16. Jain, S. K., Nayak, P. C., and Sudheer, K. P. (2008). Models for estimating evapotranspiration using artificial neural network and their physical interpretation. Hydrological Processes 22(13): 2225-2234. (Abstract)

17. Padmini, D, Ilamparuthi, K., and Sudheer, K. P. (2008). Ultimate bearing capacity prediction of shallow foundations on cohesionless soils using neurofuzzy models. Computers and Geotechnics 35(1): 33-46. (Abstract)

2007

18. Nayak, P. C., Sudheer, K. P., and Jain, S. K. (2007). Rainfall-runoff modelling through hybrid intelligent system. Water Resources Research 43: W07415, doi:10.1029/2006WR004930. (Abstract)

19. Srivastav, R. K., Sudheer, K. P. and Chaubey, I. (2007) A Simplified Approach to Quantify Predictive and Parametric Uncertainty in Artificial Neural Network Hydrologic Models. Water Resources Research, 43(10): Art. No. W10407.

20. Sudheer, K. P., Chaubey, I., Garg, V., and Migliaccio, K. W. (2007). Impact of time scale of the calibration objective function on the performance of watershed models. Hydrological Processes, 21(25): 3409-3419.

2006

21. Chetan, M., and Sudheer, K. P. (2006). A hybrid linear-neural model for river flow forecasting. Water Resources Research, 42, W04402, DOI: 10.1029/2005WR004072. (Abstract)

22. Sudheer, K. P., Chaubey, I., and Garg, V,  (2006). Lake Water Quality Assessment from Landsat TM Data using Neural Network: An approach to optimal band combination selection. Journal of American Water Resources Society, 42(6): 1683-1695. (Abstract)

23. Nayak, P. C., Rao, Y. R. S., and Sudheer, K. P. (2006) “Ground water level forecasting using artificial neural network in shallow aquifer”. Water Resources Management, 20:77-90. (Abstract)

2005

24. Senthil Kumar, A. R., Sudheer, K. P., Jain, S. K., and Agarwal, P. K. (2005). ANN modeling of rainfall-runoff process: Comparison of network types.  Hydrological Processes, 19(6): 1277-1291. (Abstract)

25. Nayak, P. C., Sudheer, K. P., and Ramasastri, K. S. (2005). Fuzzy computing based rainfall-runoff model for real time flood forecasting. Hydrological Processes, 19(4): 955-968. (Abstract)

26. Nayak, P. C., Sudheer, K. P., Rangan, D. M., and Ramasastri, K. S. (2005). Short term flood forecasting with a neuro-fuzzy model. Water Resources Research, 41(4): Art. # W04004. (Abstract)

27. Sudheer, K. P., Gosain, A. K., and Ramasastri, K. S. (2005) Closure to “Estimating actual evapotranspiration from limited climatic data using neural computing technique”, Journal of Irrigation and Drainage, ASCE, 131(2): 220. (Abstract)

28. Sudheer, K. P. (2005). “Knowledge extraction from trained neural network river flow models” Journal of Hydrologic Engineering, ASCE, 10(4): 264-269. (Abstract)

2004

29. Rao, S. V. N., Sreenivasulu, V., Murty, B. S., Thandaveswara, B. S., and Sudheer, K. P. (2004). Planning groundwater development in coastal aquifers. Hydrological Sciences Journal, 49(1): 157-170. (Abstract)

30. Sudheer, K.P. and Jain, A. (2004), “Explaining the Internal Behaviour of Artificial Neural Network River Flow Models”, Hydrological Processes, 18(4), 833-844. (Abstract)

31. Jain, A., Sudheer, K. P., and Srinivasulu, S. (2004). Identification of Physical Processes inherent in Artificial Neural Network Rainfall Runoff Models, Hydrological Processes, 18 (3), 571-581. (Abstract)

32. Nayak, P. C., Sudheer, K. P., Rangan, D. M., and Ramasastri, K. S. (2004). Neuro-fuzzy Computing Technique for modelling Hydrological Time Series. Journal of Hydrology 291: 52-66. (Abstract)

33. Sudheer, K. P., Ashu Jain, and Srinivasulu, S. (2004). Discussion of “Performance of Neural Networks in daily Streamflow Forecasting” by S. Birkundavyi, R. Labib, H. T. Trung, and J. Rousselle. Journal of hydrologic Engineering, ASCE, 9(6): 553-555. (Abstract)

2003

34. Sudheer, K. P., Nayak, P. C., and Ramasastri, K. S. (2003). Improving Peak Flow Estimates in Artificial Neural Network River Flow Models. Hydrological Processes, 17(3): 677-686. (Abstract)

35. Sudheer, K. P., and Jain, S. K. (2003). Radial basis function neural networks for modelling rating curves. Journal of hydrologic Engineering, ASCE, 8(3): 161-164. (Abstract)

36. Sudheer, K. P., Gosain, A. K., and Ramasastri, K. S. (2003) Estimating actual evapotranspiration from limited climatic data using artificial neural network technique.  Journal of Irrigation and Drainage, ASCE, 129(3): 214-218. (Abstract)

2002

37. Sudheer, K. P., Gosain, A. K., and Ramasastri, K. S. (2002) A data driven algorithm for constructing ANN based rainfall-runoff models. Hydrological Processes, 16(6): 1325-1330. (Abstract)

38. Sudheer, K. P., Gosain, A. K., Saheb, S. M. and Rangan, D. M. (2002) Modelling evaporation using artificial neural network algorithm. Hydrological Processes, 16(16): 3189-3202. (Abstract)

2001

39. Sudheer, K. P., and Panda, R. K. (2000). Digital image processing for determining drop sizes from irrigation spray nozzles. Agricultural Water Management, 45(2): 145-157. (Abstract)

 

 

 

 

REFEREED NATIONAL JOURNALS

 

40. Sudheer, K. P., Rangan, D. M., Saheb, S. M., and Ramasastri, K. S. (2000) Estimating hydrological processes for watershed management: a case study of the Tambaraparani river basin, Tamilnadu. Journal of Applied Hydrology, Vol. 14(2-3): 1-9.

41. Nayak, P. C., Sudheer, K. P. and Ramasastri, K. S. (2003). Operating policy studies using optimisation and simulations models for Kanjhari reservoir in Orissa. Journal of Applied Hydrology, Vol. 16(2): 61-68.

42. Nayak, P. C., Sudheer, K. P., Ramasastri, K. S. (2004) Dam Break analysis of Ghodahoda project, Orissa. Journal of Applied Hydrology, Vol. 17(1): 53-58.

43. Sudheer, K. P., and Jain, A. (2009). Recent advances in knowledge extraction from artificial neural network based hydrologic models. ISH Journal of Hydraulic Engineering, Vol. 15(1): 75-83.

44. Jain, A., Maier, H. R., Dandy, G. C., and Sudheer, K. P. (2009). Rainfall runoff modelling using neural networks: state of art and future research needs. ISH Journal of Hydraulic Engineering, Vol. 15(1): 52-74.

 

REFEREED INTERNATIONAL CONFERENCES

                    

45. Athira, P.., Cibin, R., Sudheer, K. P. and Chaubey, I. (2009). “A multi-criterion based approach to quantify predictive uncertainty of distributed hydrologic models when applied to ungauged basins”. AOGS-2009, Asia Oceania Geosciences Society Annual International Meeting, Singapore (August 11-15)

46. Athira, P.., Sudheer, K. P. and Chaubey, I. (2009). “Regionalization of Parameter Probability Density Function of Distributed Watershed Models for their Application in Ungauged Basin Simulations.” American Society of Agricultural and Biological Engineers Annual International Meeting, Reno, NV, USA (June 21-June 24).

47. Athira, P.., Sudheer, K. P. and Chaubey, I. (2009). “Predictions in Ungauged Basins using Distributed Hydrologic Models: Regionalization of Parameters and Quantification of Predictive Uncertainty” American Geophysical Union Joint Assembly, Toronto, Canada (May 24-27). (Selected for AGU Berkner Fellowship).

48. Prakash, O.[1]., Sudheer, K. P., and Srinivasan, K. (2009). “Sequential Neural Network with Error updating for Improved Higher Lead time Flood Forecasts” Proceedings of the International Conference on Water, Environment, Energy and Society (WEES09), New Delhi, Janaury 12-16, 2009, pp: 745-751.

49. Soundharajan, B[2]., and Sudheer, K. P. (2009). “Irrigation Water Management using a Dynamic Crop Growth Model” Proceedings of the International Conference on Water, Environment, Energy and Society (WEES09), New Delhi, Janaury 12-16, 2009, pp: 1749-1754.

50. Cibin, R., Sudheer, K. P. and Chaubey, I. (2008). “Application of spatially distributed hydrological models in ungauged basins: an approach to minimize predictive uncertainty.” American Geophysical Union Joint Assembly, Florida, USA (May 27-31). (Selected for AGU Berkner Fellowship).

51. Cibin, R., Sudheer, K. P. and Chaubey, I. (2008). “Global sensitivity analysis if distributed hydrological models.” American Society of Agricultural and Biological Engineers Annual International Meeting, Rhode Island, USA (June 29-July2).

52. Soundharajan, B., and Sudheer, K. P. (2008). “Application of a Crop Growth Simulation Model for enhancing the Water Use Efficiency” American Society of Agricultural and Biological Engineers Annual International Meeting, Rhode Island, USA (June 29-July2).

53. Migliaccio, K. W., Chaubey, I., and Sudheer, K. P. (2007). Calibrating watershed models. Proceedings from 2007 ASABE Annual International Meeting. Minneapolis, MN. June 17-20, 2007. Paper No. 072209.

54. Dhanya, S., and Sudheer, K. P. (2007). “River flow forecasting: Probabilistic forecasting based on ensembles’. Proceedings of the ASABE Annual International Meeting, 17-20 June, Minneapolis, USA

55. Prakash, O., Sudheer, K.P. and Srinivasan, K. (2006). Optimal Flood Control Operation of a River-Reservoir System Using Multi-Objective Genetic Algorithm. Proceeding of International Conference on Hydrology & Watershed Management, Hyderabad, December 5-8, 2006, pp. 1072-1082.

56. Abhilash Kumar, S., and Sudheer, K. P. (2006). “Development of a physically based Neural Network Model for Flood Forecasting”. Proceedings of the ASCE-EWRI International Conference, December, New Delhi.

57. Prakash, O., Sudheer, K.P. and Srinivasan, K. (2006). Simulation of Real-Time Flood Operation of a River-Reservoir System. Asia & Pasific Division of the International Association of Hydraulics Engineering and Research & International Symposium on Maritime Hydraulics, Chennai, August 7-9, Vol-1: 567-575.

58. Lakshmi, G., Sudheer, K. P. and Chaubey, I. (2006). “Auto Calibration of Complex Watershed Models using Simulation-Optimization Framework”. Proceedings of the ASABE Annual International Meeting, July, Portland, USA.

59. Sudheer, K. P., Srivastav, R. K., Soundharajan, B., and Jain, S. K. (2006). Ground water perspectives of Chennai: A coastal city in India. Proceedings of the 2nd GWSP-Asia Network Workshop, 8-12, June, Guangzhou, China.

60. Sudheer K. P., Chaubey I., Garg V. (2005) Selection of Optimal Band Combination for Neural Network based Water Quality Retrievals from Landsat TM data, Proceedings of the Indian International Conference on Artificial Intelligence, IICAI-05, Pune, India, 938-951.

61. Chaubey I. and Sudheer K. P. (2005) A frame work to stochastically evaluate watershed models. Proceedings of the Indian International Conference on Artificial Intelligence, IICAI-05, Pune, India, 1094-1109.

62. Jain, S. K. and Sudheer K. P. (2005) Development of integrated discharge and sediment rating curves using radial basis function neural network. Proceedings of the Indian International Conference on Artificial Intelligence, IICAI-05, Pune, India, 1193-1205.

63. Sudheer, K. P., and Nayak, P. C. (2004) “Development of a rainfall-runoff model using neuro-fuzzy technique for river floe forecasting”. Proceedings of the International Conference on Sustainable Water Resources Management, 17-19, November, Colombo: 236-243.

 

64. ANNEXG (2002) An international comparative study of artificial neural network techniques for river-stage forecasting. Presented at the 9th National Symposium on Hydrology, British Hydrological Society, September 2002: pp 75-81. (ANNEXG – Artificial Neural Network Experiment Group and Sudheer, K. P. was a co-author)

 

65. Sudheer, K. P., Gosain, A. K., and Ramasastri, K. S. (2001). Designing the network structure through statistical inferences of the data series in ANN based rainfall-runoff models. Symposium on statistical methods in hydrology, ASAE annual international meeting, Sacramento, California, USA, ASAE Paper No. 01-2248, pp 109-113.

 

66. Sudheer, K. P., Gosain, A. K., and Ramasastri, K. S. (2000).  Neural computation technique for estimating components of hydrologic cycle. Proceedings of the International conference for integrated water resources management, New Delhi, Vol. I: 52-61.

 

67. Satyaji Rao, Y. R., Sudheer, K. P., Jeyakanthan, V.S., and Ramasastri, K.S. (2000). Potential use of remote sensing and GIS for estimation of flood in ungauged catchments.  Proceedings of the International conference on remote sensing and GIS, Hyderabad. Vol 2: 525-531.

 

68. Sudheer, K. P., Sreekala, G., Roy Mathew, Xavier, K. J., and Jamal, A. B. (1997).  Design and development of an automatic drip irrigation system.  Proceedings of the International conference on civil engineering for sustainable development, Roorkee: 217–224.

 

69. Sudheer, K. P., Gosain, A. K., and Ramasastri, K. S.  (2001) Selection of appropriate input vector in neural network based rainfall runoff models. International conference on Civil Engineering, Bangalore, 464-471.

 

70. Satyaji Rao, Y. R., Sudheer, K. P., and Nayak, P. C. (2001). Conceptual catchment water balance and modeling of surface runoff and base flow.  International conference on Civil Engineering, Bangalore, 611-618.

 

71. Sudheer, K. P., Gosain, A. K., and Ramasastri, K. S. (2002) Comparisons between Back Propagation and Radial Basis Function Networks in Rainfall-Runoff Modeling, Proceedings of the International conference on advances in Civil Engineering, IIT, Kharagpur. Vol. 1-149-156.

 

72. Sudheer, K. P., Gosain, A. K., and Ramasastri, K. S. (2002). Investigating the potential of artificial neural network in estimating evapotranspiration. World congress on Computers in Agriculture and Natural Resources, Brazil (accepted).

 

73. Sudheer, K. P., Nayak, P. C., Rangan, D. M., and Ramasastri, K. S. (2002). Simulating inflow to the reservoir using neural computing technique for water resources planning and management. World congress on Computers in Agriculture and Natural Resources, Brazil (accepted).

 

74. Sudheer, K. P., Nayak, P. C., Rangan, D. M., and Ramasastri, K. S. (2002). Spatial analysis neural network for regional drought characterization: A case study of Kalahandi, India. 4th International R&D Conference, CBIP, New Delhi. (accepted based on abstrat).

 

 

REFEREED NATIONAL CONFERENCES

 

75. Sudheer, K. P., Nayak, P. C., Rangan, D. M., and Ramasastri, K. S. (2003) “Spatial analysis neural network for regional drought characterization: a case study of Kalahandi, India”, Proceedings of the HYDRO-2003, Indian Society for Hydraulics, Pune (published)

 

76. Sudheer, K. P., Nayak, P. C., and Ramasastri, K. S. (2002). Spatial characterization of groundwater quality using neural network. Proceedings of the conference on Hydraulics, Water Resources and Ocean Engineering (HYDRO-2002), IIT, Bombay, India, pp. 462-466.

 

77. Nayak, P. C., Sudheer, K. P., Rangan, D. M., and Ramasastri, K. S. (2002). Integrated soft computing technique for hydrological modelling. Proceedings of the conference on Hydraulics, Water Resources and Ocean Engineering (HYDRO-2002), IIT, Bombay, India pp.384-388.

 

78. Sudheer, K. P., Gosain, A. K., and Ramasastri, K. S. (2000).  River flow forecasting using multivariate time series analysis. Proceedings of the 10th National Symposium in Hydrology, July 2000, New Delhi, India, pp. 225-236.

 

79. Sudheer, K. P., Gosain, A. K., Nayak, P. C. and Rangan, D. M. (2000) River flow forecasting through artificial neural network approach. Proceedings of the National Conference on Hydraulics and water resources, October 2000, Kurukshetra, India. pp 79-86.

 

80. Sudheer, K. P., Saheb, S. M., Rangan, D. M., and Gosain A. K. (1998) Generating evaporation data using artificial neural network computation. Proceedings of the 9th National Symposium in Hydrology, July 2000, Amritsar, India. pp. 295-306.

 

81. Sudheer, K. P., Rangan, D. M., and Saheb, S. M. (1998)  Irrigation management using simulated data.  Proceedings of the XXXII annual convention of the Indian Society of Agricultural Engineers, Bhopal, India.

 

82. Sudheer, K. P., and Seethapathi, P.V. (1997) Design of data base using GIS for water resources development. Proceedings of the 8th National Symposium in Hydrology, Calcutta, India.

 

83. Sudheer, K. P., and Panda, R. K. (1996)  A computer model for performance evaluation of sprinkler irrigation system. Proceedings of the XXX annual convention of the Indian Society of Agricultural Engineers, Coimbatore, India.

 

84. Sudheer, K. P., and Panda, R. K. (1996) A finite element algorithm for hydraulic design of sprinkler irrigation system. Proceedings of the XXXI annual convention of the Indian Society of Agricultural Engineers, Trichur, India.

 

 

TECHNICAL REPORTS

 

85. Senthil Kumar, A. R., Sudheer, K. P., (2002) Rainfall-runoff modelling using ANN: a case study of Malaprabha basin, Karnataka. National Institute of Hydrology, Roorkee (under review).

 

86. Sudheer, K. P., Nayak, P. C., Rangan, D. M. (2002) Regional Drought Characterization of Kalahandi, Bolangir and Koraput Districts of Orissa based on coupled statistical-neural computing technique National Institute of Hydrology, Roorkee (under review).

 

87. Nayak, P. C., Satyaji Rao, Y. R., Sudheer, K. P. (2002) Application of conceptual water balance model to Baitarani river basin, Orissa. National Institute of Hydrology, Roorkee (under review).

 

88. Sudheer, K. P., Nayak, P. C., and Rangan, D. M. (2001) Application of artificial neural network technique for real-time operation of Rengali Reservoir, Orissa, India National Institute of Hydrology, Roorkee (in press)

 

89. Nayak, P. C., Sudheer, K. P., and Rao, U. V. N. (2001).  Reservoir operation using simulation and optimization models for Kanijharai reservoir, Orissa, India. National Institute of Hydrology, Roorkee (in press)

 

90. Sudheer, K. P., Nayak, P. C., and Rangan, D. M. (2000) Rainfall Runoff modeling using artificial neural network technique.  National Institute of Hydrology, Roorkee (in press)

 

91. Sudheer, K. P., and Rangan D. M. (2000) Investigation on the capabilities of artificial neural network for estimating evapotranspiration from minimum weather data. National Institute of Hydrology, Roorkee (in press).

 

92. Nayak, P. C., Sudheer, K. P., and Saheb, S. M. (2000) Dam break analysis of Ghodahoda Project, Orissa. National Institute of Hydrology, Roorkee (in press).

 

93. Sudheer, K. P., Rangan, D. M., and Saheb, S. M. (1999) Estimating hydrological parameters for water balance studies in Tambaraparni River, Tamilnadu. National Institute of Hydrology, Roorkee.CS/AR-23/98-99

 

94. Sudheer, K. P., Nayak, P. C., Satyaji Rao, Y. R. (1999) Representative basin studies: Hydrological soil classification of Suddagedda basin, Andhra Pradesh. National Institute of Hydrology, Roorkee. CS/AR-32/98-99

95. Sudheer, K. P., Thomas, T., Saheb, S. M., and Rangan, D. M. (1998) Development of data simulation model and Irrigation schedule for eastern Godavari delta, Andhra Pradesh, National Institute of Hydrology, Roorkee, CS/AR-15/97-98.

 

96. Satyaji Rao, Y. R. and Sudheer, K. P. (1998) Representative basin studies: Changes in land use/cover and establishment SCS runoff curve number for Suddagedda basin, Andhra Pradesh. National Institute of Hydrology, Roorkee. CS/AR-34/98-99.

 

97. Satyaji Rao, Y. R. and Sudheer, K. P. (1998) Representative basin studies: Morphometric analysis of Suddagedda basin, Andhra Pradesh. National Institute of Hydrology, Roorkee. CS/AR-24/97-98

 

 

 

 

Short term courses conducted:

 

 

  • Modeling approaches for Environmental and Water Resources Systems Management (2008)
  • Soft computing Techniques in Civil Engineering (2004)
  • Computer Applications in Water Resources Engineering (2004)

 

 

 

Details of major sponsored research projects (as PI)

 
  • “Investigating the Potential of Neuro-Fuzzy Computing Technique in Hydrologic Time Series Modelling”, (INR 2.30 Lakhs, IIT Madras Seed Money - Completed). [2003-2006]

(Published 4 International Journal Papers and 1 International Conference Paper from the research finding of this project)

  • “Flood forecasting in a spatio-temporal framework”, (INR 3.24 Lakhs, Department of Science and  Technology, Govt. of India, New Delhi) [ongoing, 2005-2008]

 

  • “Application of Artificial Neural Network for Ungauged Catchment’s Flood Prediction”,  (US $ 6850, International Foundation for Science, Sweden) [ongoing, 2005-2008]
  • “Spatio-temporal Modeling of Ground Water Quality Using Artificial Neural Network”, (INR 13.00 Lakhs, Indian National Committee on Hydrology, Ministry of Water Resources, Govt. of India, New Delhi.

 

 

Memberships in professional societies:

 

 

  • Member, American Society of Civil Engineers, Reston, VA, USA.
  • Member, International Association of Hydrological Sciences, New York
  • Member, American Society of Agricultural and Biological Engineering, New York, USA.
  • Member, Indian Society of Agricultural Engineers, New Delhi, India
  • Member, Indian Association of Hydrologists, Roorkee, India
  • Member, Association of Hydrologists of India, Visakhapatnam, India

 

 

 

Current Ph.D. thesis guidance:

 
  • B. Soundharajan              -  Irrigation water management under deficit conditions
  • Jacob Chandapillai         -  Equitable distribution of water supply: Development of low cost devices
  • Roshan karan Srivastav -  Synthetic generation of seasonal and annual streamflow using soft computing techniques
  • T. Thomas                      - Impact of Climate Change on the Watershed Scale
  • Kasi Viswanathan           - Uncertainty analysis of ANN based hydrologic models
  • Athira, P.                        – Predictions in Ungauged Basins

 

 

 

Past Ph.D. thesis guidance:

 
  • P. C. Nayak (2008) - Improved river flow forecasts through hybrid intelligent systems
  • Om Prakash (2008) - Adaptive multi-objective framework for dynamic flood control operation of multiple river-reservoir systems (co-advisor: Prof. K. Srinivasan)

 

 

 

 


[1] Ph D Student

[2] Ph D Student