Ministry of Education
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Dr K. S Kasiviswanathan

vidwan id: 155388
Male

Assistant Professor, Water Resources Development and Management
Indian Institute of Technology Roorkee

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Expertise

  • Water Resources

Publications

Total Articles 16
Books 0
Proceedings 0

Publications

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Scopus

Citations 657
h-index 13

CrossRef

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Citations 449
h-index 10
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Community & Membership

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Bio

Hydrological Modelling , Reservoir operation; Flood and Drought Management; Optimization and Uncertainty Quantification

Personal Details

  • Male
  • Assistant Professor , Indian Institute of Technology Roorkee
  • Water Resources Development and Management, Indian Institute of Technology Roorkee
Ph.D
Indian Institute of Technology Madras 2014
Assistant Professor Dec 2019 – Present
Indian Institute of Technology Roorkee | Water Resources Development and Management

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Co-Authors (9)

Idhaya Chandhiran

Dr Idhaya Chandhiran Ilampooranan

Indian Institute of Technology Roorkee

Santosh Murlidhar

Dr Santosh Murlidhar Pingale

National Institute of Hydrology, Roorkee

Sachin S

Dr Sachin S Gunthe

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Dr Sarita Azad

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Prof Subhankar Karmakar

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Dr Subhamoy Sen

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Dr Vittal Hari

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Scholarly Work

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Scholarly Publications

Potential application of wavelet neural network ensemble to forecast streamflow for flood management

Open Access
Article
Journal of Hydrology. Year: 2016. Volume: 536 , Pages: 161-173 .
Authors: Kasiviswanathan K.S.;He J.;Sudheer K.P.;Tay J.H.
DOI 10.1016/j.jhydrol.2016.02.044
118 138

Quantification of prediction uncertainty in artificial neural network models

Open Access
Book Chapter
Year: 2016. Volume: 628 , Pages: 145-159 .
Authors: Kasiviswanathan K.S.;Sudheer K.P.;He J.
DOI 10.1007/978-3-319-28495-8_8
7 18

Indian summer monsoon rainfall: Implications of contrasting trends in the spatial variability of means and extremes

Open Access
Article
PLoS ONE. Year: 2016. Volume: 11 , Issue: 7 .
Authors: Ghosh S.;Vittal H.;Sharma T.;Karmakar S.;Kasiviswanathan K.S.;Dhanesh Y.;Sudheer K.P.;Gunthe S.S.
DOI 10.1371/journal.pone.0158670
40 134

Comparison of methods used for quantifying prediction interval in artificial neural network hydrologic models

Open Access
Article
Modeling Earth Systems and Environment. Year: 2016. Volume: 2 , Issue: 1 .
Authors: Kasiviswanathan K.S.;Sudheer K.P.
DOI 10.1007/s40808-016-0079-9
26 36

Discussion of comparison of three global optimization algorithms for calibration of the Xinanjiang model parameters by Dong-mei Xu, Wen-chuan Wang, Kwok-wing Chau, Chun-tian Cheng and Shou-yu Chen, 2013 Journal of Hydroinformatics 15 (1), 174-193, doi: 10.2166/hydro.2012.053

Open Access
Article
Journal of Hydroinformatics. Year: 2014. Volume: 16 , Issue: 6 , Pages: 1461-1463 .
Authors: Kasiviswanathan K.S.;Sudheer K.P.
DOI 10.2166/hydro.2014.016

Constructing prediction interval for artificial neural network rainfall runoff models based on ensemble simulations

Open Access
Article
Journal of Hydrology. Year: 2013. Volume: 499 , Pages: 275-288 .
Authors: Kasiviswanathan K.S.;Cibin R.;Sudheer K.P.;Chaubey I.
DOI 10.1016/j.jhydrol.2013.06.043
75 85

Quantification of the predictive uncertainty of artificial neural network based river flow forecast models

Open Access
Article
Stochastic Environmental Research and Risk Assessment. Year: 2013. Volume: 27 , Issue: 1 , Pages: 137-146 .
Authors: Kasiviswanathan K.S.;Sudheer K.P.
DOI 10.1007/s00477-012-0600-2
70 82

Uncertainty analysis on neural network based hydrological models using probabilistic point estimate method

Open Access
Conference Paper
Year: 2012. Volume: 130 AISC , Issue: VOL. 1 , Pages: 377-384 .
Authors: Kasiviswanathan K.S.;Sudheer K.P.
DOI 10.1007/978-81-322-0487-9_36