1.
Nayak, P. C., Sudheer, K. P., and Saheb,
S. M. (1998-99) Rainfall- runoff modeling of Baitarani
river basin upto Anandapur
using HEC-1, TR/BR-13/98-99
2.
Sudheer, K. P., Nayak, P. C., Satyaji Rao, Y. R. (1998-1999) Representative basin studies: Hydrological
soil classification of Suddagedda basin, Andhra
Pradesh. National
3.
Sudheer, K. P., Nayak, P. C., and Rangan, D. M. (1999-2000) Rainfall Runoff modeling using artificial neural network technique. National
4.
Nayak,
P. C., Sudheer, K. P., and Saheb,
S. M. (1999-2000) Dam break analysis of Ghodahoda Project, Orissa.
National Institute of Hydrology, Roorkee,
CS/AS-15/1999-2000
5.
Nayak,
P. C., Sudheer, K. P., and U. V. N. Rao, (2000-2001) Reservoir operation study of kanjhari reservoir, orissa using
optimization and simulation models, National Institute of Hydrology, Roorkee
6.
Nayak,
P. C., S. V. Vijayakumar, and Saheb,
S. M. (2000-2001) Modeling Flood Water Profiles Upstream of SAC Barrage on
River Akhanda Godavari
Using Hec-2 Model, National Institute of Hydrology, Roorkee,
In Print
7.
Sudheer, K. P., Nayak, P. C. and Rangan, D. M (2000-2001) Application of ANN for real
time operation of Rengali reservoir, Orissa National Institute of Hydrology, Roorkee
8.
Nayak,
P. C., Sudheer, K. P., and Y. R. S. Rao (2001-2002) Application of coceptual
water balance model to Baitarani river basin, orissa, National Institute of Hydrology, Roorkee
9.
Sudheer, K. P., Nayak, P. C. and Rangan, D. M. (2001-2002) Regional drought
characterization of Kalahandi, Bolangir
and Koraput districts of Orissa
based on coupled statistical-neural computing approach
10.
Nayak,
P. C., Sudheer, K. P. and Rangan,
D. M. (2002-2003) Neuro-fuzzy Soft
Computing Technique for Modeling Hydrological Time Series of
11.
Nayak,
P. C. and P. R. Rao (2003-2004) Development of
flood forecasting model for Baitarani basin in Orissa using fuzzy computing approach National
Institute of Hydrology, Roorkee
12.
Nayak,
P. C., Y. R. Satyaji Rao
and P. R. Rao (2003-2004)Groundwater Level
Forecasting in a Shallow Aquifer Using Artificial Neural Network Approach National
Institute of Hydrology, Roorkee