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D. Nagesh Kumar

Professor

Dept. of Civil Engineering .
IISc-Bangalore.

Faculty, in the
Center for Earth Sciences (CEaS)
Indian Institute of Science.

Email: nagesh@iisc.ac.in

Education
Ph D.:

Indian In stitute of Science, Bangalore.(1987-1992)

M E:

Anna University.Madras. (1985-1987)

B Tech:

Nagarjuna University, Andhra Pradesh.(1980-1984)

Experience

Professor in Dept. of Civil Engg., I I Sc, Bangalore. (May 2008 to date)

Visiting Professor in Dept. of Geoscience and Environment, Ecole Nationale Supérieure des Mines de Saint-Etienne, Saint-Etienne, France. (Aug to Dec 2012)

Associate Professor in Dept. of Civil Engg.,I I Sc, Bangalore. (May 2002 to May 2008)

Associate Professor in Dept. of Civil Engg., I I T, Kharagpur. (Aug 2000 to May 2002)

BOYSCAST Fellow, Utah Water Research Lab, Utah State Univ., USA. (Jan to July 1999)

Assistant Professor in Dept. of Civil Engg., I I T, Kharagpur. (Sept 1995 to Aug 2000)

Visiting Lecturer in Dept. of Civil Engg., I I T, Kharagpur. (Feb 1994 to Aug 1995)

Scientist in Water Resources Group of National Remote Sensing Agency, Hyderabad, India. (Sept 1992 to Jan 1994)

Membership in Professional Bodies

Member, American Society of Civil Engineers, USA.

Member, American Geophysical Union, USA.

Member, International Association of Hydraulic Engineering and Research (IAHR), Spain.

Member, International Association for Hydrological Sciences, U.K.

Member, International Society on Multi Criteria Decision Making, USA.

Fellow, Institution of Engineers (India), Calcutta, India

Fellow, Indian Society for Hydraulics, Pune, India

Member, Indian Society of Remote Sensing, Dehradun, India

Member, Indian Water Resources Society, Roorkee, India

Awards & Distinctions
  1. IBM Faculty Award – 2012, Received IBM Faculty Award for the year 2012.
  2. Associate Editor, Journal of Hydrologic Engineerng, American Society of Civil Engineering (ASCE), USA, October 2007 to date.
  3. Member, Editorial Board, The Open Hydrology Journal, Bentham Science Publishers Ltd., USA, 2008 to date.
  4. Associate Editor, ISH Journal of Hydraulic Engineering, Indian Society for Hydraulics, Pune, India, 2013 to date.
  5. Member, Editorial Board, Applied Computational Intelligence and Soft Computing, Hindawi Publishing Corporation, Egypt, 2011 to date.
  6. Associate Editor, Nonlinear Science Letters C: Nano, Biology and Environment, Asian Academic Publisher Limited, 2011 to date.
  7. More than 1,000 Citations of research publications with h-index of 20.
  8. Member, Working Group on Climate Change, International Association of Hydraulic Engineering and Research (IAHR), Spain, Jul 2008 to date.
  9. Member, Task Team for ‘Hydrological Modelling of Brahmaputra and Barak basins for flood forecasting using Doppler Weather Radar’, Govt. of Assam, 2006 to date.
  10. Member, Selection Committee for recruitment of faculty, School of Water Resources, IIT, Kharagpur, August 2010.
  11. Member, Board of Appointment for selection of Lecturer, Reader and Professor in the Post-graduate Department of Civil Engineering, Bangalore University, 2003, 2005 & 2007.
  12. Expert Member, AICTE team to inspect private engineering colleges in Karnataka, 2005.
  13. Resource Personfor workshop on 'Curriculum for PostGraduate Education' in National Institute of Technology Karnataka, Surathkal, organized under the World Bank funded Technical Education Quality ImprovementProgram (TEQIP), Feb 2005.
  14. Resource Personfor workshop on 'Curriculum for Post Graduate Education' in Sri Venkateswara Univ, Tirupathi, organized under the World Bank funded TEQIP, Feb 2008.
  15. Reviewer for more than 50 international journals.
  16. Examiner for more than 60 PhD thesis from India and abroad.
  17. Recipient of Young Scientist project award from Department of Science and Technology, India under 'Young Scientist Scheme' to conduct research on Artificial Neural Networks and their adatability to Stochastic Hydrology, 1997-99.
  18. Recipient of BOYSCAST fellowship awardfrom Department of Science and Technology, India to Visit Utah Water Research Laboratory, Utah State Univ., Logan, USA for 6 months (3rdJan to 2ndJuly ’99) for collaborative research on Climate Hydrology.
  19. Best Paper Award for the paper Optimal design of water distribution system using Linear Programming Gradient (LPG) method published in Journal of Indian Water Works Association for the year 1998.
  20. Sir Arthur Cotton Memorial Medal for the paper Multicriterion Q-Analysis and Compromise Programming for Irrigation Planning, Institution of Engineers (India) for the year 2001. 3
  21. Member Secretary, International Conference on Advances in Civil Engineering, IIT, Kharagpur, 3-5 Jan 2002.
  22. Member, Board of Studies in Civil Engineering (UG & PG), Bangalore University, Bangalore, for the period 2008-2011.
  23. Member, Board of Studies in Civil Engineering, Yogi Vemana University, Kadapa, for the period 2008-2011.
    Research Interests
  1. Rainfall-Runoff Modeling
  2. Optimal Reservoir Operation Models
  3. Time Series Analysis in Hydrology
  4. Water Allocation Models
  5. Satellite Remote Sensing in Irrigation Management
  6. Disaggregation Models in Hydrology
  7. Artificial Neural Networks in Hydrology
  8. Multicriterion Decision Making (MCDM) inriver basin development and management
  9. Fuzzy Approach for MCDM in river basin development and management
  10. Evolutionary Algorithms for optimal reservoir operation
  11. Climate Hydrology
  12. Impact of Climate Change on Hydrology of River Basins
  13. Downscaling of Climate Variables
  14. Microwave Remote Sensing for Precipitation Estimation
Publications
    Books
  1. Multicriterion Analysis in Engineering and Management, K. Srinivasa Raju and D.Nagesh Kumar, PHI Learning Private Limited,New Delhi, India, ISBN 978-81-203-3976-7, 2010, pp.288
  2. Floods in a Changing Climate: Hydrologic Modeling, P. P. Mujumdar and D. Nagesh Kumar, International Hydrology Series, Cambridge University Press, Cambridge, U.K., ISBN-13: 9781107018761, pp. 188, 2012. DOI:10.1017/CBO9781139088428.
    3. Journals
  3. tochastic models of stre amflow - Some case studies , P.P.Mujumdar and D.Nagesh Kumar, Hydrological Sciences Journal , IAHS Press, UK, Vol.35, No.4, August 1990, pp.395-410.
  4. Satellite Evaluation of Current status of Irrigation management in Rajolibanda diversion scheme command, Mahaboobnagar District, AP , S.Thiruvengadachari, J.Harikishan and D.Nagesh Kumar, NNRMS Bulletin , Dept. of Space, Bangalore, NNRMS (B)-17, August 1993, pp.39-41.
  5. An integrated model for optim al reservoir operation for irrigation of multiple crops , S.Vedula and D.Nagesh Kumar, Water Resources Research of American Geophysical Union, Vol. 32, No. 4, April 1996, pp. 1101-1108.
  6. Spectral analysis of Cauvery river flows , D.Nagesh Kumar and P.P.Mujumdar, Journal of Indian Water Resources Society , Roorkee, Vol. 2, No. 3, July 1996, pp. 43-48.
  7. An integrated model for optim al reservoir operation for irrigation of multiple crops , S.Vedula and D.Nagesh Kumar, Reprinted, Water Resources Journal of UN-ESCAP, September 1996, pp. 57-66.
  8. Ranking of river basin planning alternatives using ELECTRE , P.Anand Raj and D.Nagesh Kumar, Hydrological Sciences Journal , IAHS Press, UK, Vol.41, No.5, October 1996, pp. 697-713.
  9. Optimal design of water dist ribution system usi ng Linear Programming Gradient (LPG) method , D. Nagesh Kumar, T. Rama Mohana Rao and M. Bandyopadhyay, Journal of Indian Water Works Association , Vol. XXX, No. 2, April-June 1998, pp. 79-87. Received best paper award .
  10. Ranking multi criterion river basin pl anning alternatives using Fuzzy numbers , P.Anand Raj and D.Nagesh Kumar, Fuzzy Sets and Systems Journal , Vol. 100, No. 1-3, November 1998, pp.89-99.
  11. Ranking alternatives with Fuzzy weights using maximising set and minimising set , P.Anand Raj and D.Nagesh Kumar, Fuzzy Sets and Systems Journal , Vol. 105, No. 3, August 1999, pp. 365-375.
  12. Multicriterion decision making in irrigation development strategies , K. Srinivasa Raju and D. Nagesh Kumar, J. Agricultural Systems , Vol. 62, No. 2, November 1999, pp. 117-129.
  13. Irrigation planning of Sri Ra m Sagar Project using Mul tiobjective Fuzzy Linear Programming , K. Srinivasa Raju and D. Nagesh Kumar, ISH Journal of Hydraulic Engineering , Vol. 6, No. 1, March 2000, pp. 55-63.
  14. Optimal Irrigation Allocati on - A Multilevel Approach , Sabu Paul, S.N. Panda, and D.Nagesh Kumar, Journal of Irrigation and Drainage Engineering, ASCE , Vol. 126, No. 3, May/June 2000, pp. 149-156.
  15. Multi-site Disaggregation of Monthly to Daily Streamflow , D. Nagesh Kumar, U. Lall and M.R. Peterson, Water Resources Research , Vol. 36, No. 7, July 2000, pp.1823-1833.
  16. Optimum Cropping Pattern for Sri Ram Saga r Project : A Linear Programming Approach , Srinivasa Raju, K and D. Nagesh Kumar, Journal of Applied Hydrology , Vol. XIII, Nos. 1 & 2, Jan-April, 2000, pp 57-67. Multicriterion Q-Analysis and Compromi se Programming for Irrigation Planning , K.Srinivasa Raju and D. Nagesh Kumar, Journal of Institution of Engineers (India) , Vol. 82, No. CV-1, June 2001, pp. 57-62. Received best paper award (Sir Arthur Cotton Memorial Medal) .
  17. Optimal Crop Planning and Conjunctive use of Water Resources in a Coastal River Basin , Laxmi Narayan Sethi, D. Nagesh Kumar, Sudhindra Nath Panda, Bimal Chandra Mal, Water Resources Management , Vol. 16, No. 2, April 2002, pp. 145-169.
  18. Folded dynamic programming for ope ration of multireservoir system , D.Nagesh Kumar and Falguni Baliarsingh, Water Resources Management , Vol. 17, No. 5, October 2003, pp.337-353.
  19. End-depth in inverted semi circular channels: experime ntal and theoretical studies , Subhasish Dey, D Nagesh Kumar and D Ram Singh, Nordic Hydrology , Vol. 35, No. 1, January 2004, pp. 73-79.
  20. GIS as a Decision Making Tool for Insurer , D. Nagesh Kumar, Invited Paper , Bimaquest , Vol. 4, No.1, January 2004, pp. 48-59.
  21. River flow forecasting usi ng recurrent neural networks , D. Nagesh Kumar, K. Srinivasa Raju and T. Sathish, Water Resources Management , Vol. 18, No. 2, April 2004, pp. 143- 161.
  22. Irrigation planning usi ng genetic algorithms , K.Srinivasa Raju and D.Nagesh Kumar, Water Resources Management , Vol. 18, No. 2, April 2004, pp. 163-176.
  23. End depth computation in in verted semicircular channels using ANNs , R.V. Raikar, D. Nagesh Kumar, S. Dey, Flow Measurement and Instrumentation , Vol. 15, No. 5-6, October – December 2004, pp.285-293.
  24. Planning for sustainable development of a river basin using fuzzy logic , P.Anand Raj and D.Nagesh Kumar, Jalvigyan Sameeksha (Hydrology Review) , Vol. 16, No. 1-2, 2001 (printed in 2004), pp. 59-70.
  25. Fuzzy Multicriterion Decision Making in Irrigation Planning , by K. Srinivasa Raju and D. Nagesh Kumar, Irrigation and Drainage , International Commi ssion on Irrigation and Drainage (ICID), Wiley InterScience, Vol. 54, No. 4, October 2005, pp. 455 - 465. doi: 10.1002/ird.197.
  26. Artificial Neural Netw orks and Multicriterion Analysis fo r Sustainable Irrigation Planning , K. Srinivasa Raju, D. Nagesh Kumar and Lucien Duckstein, Computers & Operations Research , Vol. 33, No. 4, April 2006, pp. 1138-1153. DOI:10.1016/j.cor.2004.09.010.
  27. Optimal reservoir operation for irrigation of multiple crops using genetic algorithms , D. Nagesh Kumar, K. Srinivasa Raju and B. Ashok, Journal of Irrigati on and Drainage Engineering, ASCE . Vol. 132, No. 2, April 2006, pp. 123-129. DOI: 10.1061/(ASCE)0733-9437(2006)132:2(123).
  28. Bayesian dynamic modeling for monthly Indian summer monsoon rainfall using El Nino– Southern Oscillation (ENSO) and Equatorial Indian Ocean Oscillation (EQUINOO) , Rajib Maity and D. Nagesh Kumar, Journal of Geophysical Research – Atmospheres , American Geophysical Union, 111, D 07104, DOI:10.1029/2005JD006539, April 2006.
  29. Ranking Irrigation Planning Strategies using Data Envelopment Analysis , K.Srinivasa Raju and D.Nagesh Kumar, Water Resources Management , Springer, Vol. 20, No. 4, August 2006, pp. 553–566. DOI: 10.1007/s11269-006-3090-5.
  30. Optimal Reservoir Operation using Mu lti-Objective Evolutionary Algorithm , M. Janga Reddy, and D.Nagesh Kumar, Water Resources Management , Springer, Vol. 20, No. 6, December 2006, pp. 861-878. DOI: 10.1007/s11269-005-9011-1.
  31. Ant colony optimization for mul tipurpose reservoir operation , D. Nagesh Kumar, M. Janga Reddy, Water Resources Management , Springer, Vol. 20, No. 6, December 2006, pp. 879-898. DOI: 10.1007/s11269-005-9012-0.
  32. Hydroclimatic association of monthly summer monsoon rainfa ll over India with large- scale atmospheric circula tion from tropical Pacific Ocean and Indian Ocean , Rajib Maity and D.Nagesh Kumar, Atmospheric Science Letters , Wiley InterScience on behalf of Royal Meteorological Society (RMetS), Vol. 7, No. 4, October/December 2006, pp. 101- 107. DOI:10.1002/asl.141.
  33. An efficient multi-objective optimization al gorithm based on swarm intelligence for engineering design , M. Janga Reddy and D. Nagesh Kumar, Engineering Optimization , Taylor and Francis, UK, Vol. 39, No . 1, January 2007, pp. 49-68. DOI: 10.1080/03052150600930493.
  34. Multi-objective differen tial evolution with application to reservoir system optimization , M.Janga Reddy and D. Nagesh Kumar, Journal of Computing in Civil Engineering, ASCE , Vol. 21, No. 2, March 2007, pp. 136-146. DOI: 10.1061/(ASCE)0887- 3801(2007)21:2(136).
  35. Review of hydroclimatic te leconnection between hydrologi c variables and large-scale atmospheric circul ation indices with Indian perspective , Rajib Maity, D Nagesh Kumar and Ravi S Nanjundiah, Journal of Hydraulic Engineering , Indian Society for Hydraulics, Vol. 13, No. 1, March 2007, pp. 77-92.
  36. Multipurpose Reservoir Operation Using Particle Swarm Optimization , D. Nagesh Kumar and M. Janga Reddy, Journal of Water Resources Pl anning and Management, ASCE , Vol. 133, No. 3, May 2007, pp. 192-201. DOI: 10.1061/(ASCE)0733- 9496(2007)133:3(192).
  37. Hydroclimatic teleconnection between global sea surface temperature and rainfall over India at subdivisional monthly scale , Rajib Maity and D. Nagesh Kumar, Hydrological Processes , Wiley InterScience, Vol. 21, No. 14, July 2007, pp. 1802-1813, published online in Aug 2006, DOI: 10.1002/hyp.6300.
  38. Classification of Indian meteor ological stations using clus ter and fuzzy cluster analysis, and Kohonen artificial neural networks , K.Srinivasa Raju and D. Nagesh Kumar, Nordic Hydrology , IWA Publishing, UK, Vol. 38, No. 3, 2007, pp. 303–314. DOI: 10.2166/nh.2007.013
  39. Optimal reservoir operation for irrigation of mu ltiple crops using el itist-mutated particle swarm optimization , M. Janga Reddy, D. Nagesh Kumar, Hydrological Sciences Journal , IAHS Press, UK, Vol. 52, No. 4, Augus t 2007, pp. 686-701, DOI: 10.1623/hysj.52.4.686.
  40. Regional Rainfall Forecasting using Large Sc ale Climate Teleconnections and Artificial Intelligence Techniques , D. Nagesh Kumar, M. Janga Reddy and Rajib Maity, Journal of Intelligent Systems , Freund & Pettman, UK, Vol. 16, No. 4, August 2007, pp. 307-322.
  41. Multi-objective particle swarm optimization for generating optimal trade-offs in reservoir operation , M. Janga Reddy, D. Nagesh Kumar, Hydrological Processes , Wiley InterScience, Vol. 21, No. 21, Octobe r 2007, pp. 2897-2909, DOI: 10.1002/hyp.6507.
  42. Evolving Strategies for Crop Planning and Op eration of Irrigation Re servoir System using Multi-Objective Differential Evolution , M. Janga Reddy and D. Nagesh Kumar, Irrigation Science , Springer, Vol. 26, No. 2, January 2008, pp. 177-190, DOI: 10.1007/s00271-007- 0084-x.
  43. Basin-scale streamflow foreca sting using the information of large-scale atmospheric circulation phenomena , Rajib Maity and D. Nagesh Kumar, Hydrological Processes , Wiley InterScience, Vol.22, No. 5, Februa ry 2008, pp. 643-650, Published online in Jul 2007, DOI: 10.1002/hyp.6630.
  44. Downscaling Precipitation to River Basin in India for IPCC SRES Scenarios Using Support Vector Machine , Anandhi, A, V.V. Srinivas, R.S. Nanjundiah, D. Nagesh Kumar, International Journal of Climatology , Wiley InterScience on behalf of Royal Meteorological Society (RMetS), Vol. 28 , No. 3, March 2008, pp. 401-420, published online in Jun 2007, DOI: 10.1002/joc.1529.
  45. Probabilistic prediction of hy droclimatic variables with nonparametric quantification of uncertainty , Rajib Maity and D. Nagesh Kumar, Journal of Geophysical Research, Atmospheres , American Geophysical Union, Vol. 113, D14105, July 2008, doi:10.1029/2008JD009856.
  46. Bayesian dynamic modeling for nonstationary hy droclimatic time series forecasting along with uncertainty quantification , Rajib Maity and D. Nagesh Kumar, Hydrological Processes , Wiley InterScience, Vol. 22, No. 17, Aug 2008, pp. 3488-3499, DOI: 10.1002/hyp.6951.
  47. Performance Evaluation of Elitist-Mutated Multi-Objective Particle Swarm Optimization for Integrated Water Resources Management , M. Janga Reddy and D. Nagesh Kumar, Journal of Hydroinformatics , IWA Publishing, Vol. 11, No. 1, 2009, pp. 78-88, DOI:10.2166/hydro.2009.042.
  48. Data Mining for Evolution of Association Rules for Drought s and Floods in India using Climate Inputs , C.T. Dhanya and D. Nagesh Kumar, Journal of Geophysical Research - Atmospheres , American Geophysical Union, Vol. 114, D02102, Jan 2009, DOI:10.1029/2008JD010485
  49. Hydroclimatic Influence of Large-scale Circul ation on the Variability of Reservoir Inflow , Rajib Maity and D. Nagesh Kumar, Hydrological Processes , Wiley InterScience, Vol. 23, No. 6, Mar 2009, pp. 934-942, DOI: 10.1002/hyp.7227
  50. Role of Predictors in Downscaling Surface Temperature to River Basin in India for IPCC SRES Scenarios using Support Vector Machine , Anandhi, A, V.V. Srinivas, D. Nagesh Kumar and R.S. Nanjundiah, International Journal of Climatology , Wiley InterScience on behalf of Royal Meteorol ogical Society (RMetS), Vol. 29, No. 4, Mar 2009, pp. 583- 603, DOI: 10.1002/joc.1719
  51. Data Mining and its Applications for Modelling Rainfall Extremes , D. Nagesh Kumar and C.T. Dhanya, Journal of Hydraulic Engineering , Indian Society for Hydraulics, Vol. 15, No.1, May 2009, pp. 25-51.
  52. Data Mining for Evolving Fu zzy Association Rules for Pr edicting Monsoon Rainfall of India , C.T. Dhanya and D. Nagesh Kumar, Journal of Intelligent Systems , Freund & Pettman, UK, Vol. 18, No. 3, 2009, pp. 193-209.
  53. Nonlinear ensemble prediction of a chaotic daily rainfall , C.T. Dhanya and D. Nagesh Kumar, Advances in Water Resources , Elsevier, Vol. 33, No. 3, March 2010, pp. 327- 347, DOI: 10.1016/j.advwatres.2010.01.001
  54. Optimal Reservoir Operation for Flood C ontrol using Folded Dynamic Programming , D.Nagesh Kumar, Falguni Baliarsingh and K. Srinivasa Raju, Water Resources Management , Springer, Vol. 24, No. 6, April 2010, pp. 1045-1064, DOI: 10.1007/s11269- 009-9485-3.
  55. Classification of Microwatersheds bas ed on Morphological Characteristics , K. Srinivasa Raju and D. Nagesh Kumar, Journal of Hydro-en vironment Research , Elsevier, Vol. 5, No. 2, pp. 101-109, June 2011, DOI: 10.1016/j.jher.2010.09.002.
  56. Extended Muskingum Method for Flood Routing , D. Nagesh Kumar, Falguni Baliarsingh and K. Srinivasa Raju, Journal of Hydro-environment Research , Elsevier, Vol. 5, No. 2, pp. 127-135, June 2011, DOI: 10.1016/j.jher.2010.08.003 Multivariate Nonlinear Ensemble Prediction of Daily Chaotic Rainfall with Climate Inputs, C.T. Dhanya and D. Nagesh Kumar, Journal of Hydrology , Elsevier, Vol. 403, No. 3-4, 292 - 306, June 2011, DOI: 10.1016/j.jhydrol.2011.04.009
  57. Predictive uncertainty of chaot ic daily streamflow using ensemble wavelet networks approach , C.T. Dhanya and D. Nagesh Kumar, Water Resources Research , American Geophysical Union, Vol. 47, No. 6, W06507, 28 pp, June 2011, DOI: 10.1029/2010WR010173
  58. Daily Relative Humidity Projections in an Indian River Basin for IPCC SRES Scenarios , A.Anandhi, V.V. Srinivas, D. Nagesh Kumar and R.S. Nanjundiah, Theoretical and Applied Climatology , Springer, Vol. 108, Nos. 1-2, 85-104, April 2012, DOI: 10.1007/s00704-011-0511-z
  59. Computational Algorithms Inspired by Biological Processes and Evolution , M. Janga Reddy and D. Nagesh Kumar, Current Science , Indian Academy of Sciences, Bangalore, India, Vol. 103, No. 4, 370-380, 25 August 2012.
  60. Review of Trend Detection Methods and their Application to Detect Temperature Changes in India , Sonali P and D. Nagesh Kumar, Journal of Hydrology , Elsevier, 476, 212-227, 2013, DOI: 10.1016/j.jhydrol.2012.10.034
  61. Prediction of Ground Water Levels in the Up lands of a Tropical Coastal Riparian Wetland using Artificial Neural Networks , L. Karthikeyan, D. Nagesh Kumar, D. Graillot and S. Gaur, Water Resources Management , Springer, Vol. 27, No. 3, pp. 871-883, 2013, DOI: 10.1007/s11269-012-0220-0.
  62. Application of Artificial Neural Networks and Particle Swarm Optimization for the Management of Groundw ater Resources , S. Gaur, Ch. Sudheer, D. Graillot, B.R. Chahar and D. Nagesh Kumar, Water Resources Management , Springer, Vol. 27, No. 3, pp. 927- 941, 2013, DOI: 10.1007/s11269-012-0226-7.
  63. Fuzzy Data Envelopment Analysis for Perf ormance Evaluation of an Irrigation System , K.Srinivasa Raju and D. Nagesh Kumar, Irrigation and Drainage , Wiley InterScience, Vol. 62, No. 2, pp. 170–180, April 2013, DOI: 10.1002/ird.1721.
  64. Assessing future rainfall projections using multiple GCMs and a multi-site stochastic downscaling model , R. Mehrotra, A. Sharma, D. Na gesh Kumar and T.V. Reshmidevi, Journal of Hydrology , Elsevier, Vol. 488, pp. 84-100, 30 Apr 2013, DOI: 10.1016/j.jhydrol.2013.02.046
  65. Remote Sensing Applications in Water Resources , D. Nagesh Kumar and T.V. Reshmidevi, Journal of the Indian Institute of Science , IISc Press, Vol. 93, No. 2, pp. 163-188, Apr- Jun, 2013.
  66. Prioritization of Micro-catchments based on Morphology , K. Srinivasa Raju and D.Nagesh Kumar, Water Management , Proceedings of Institution of Civil Engineers (ICE), ICE Publishing, UK, Vol. 166, No. 7, pp. 367-380, July 2013, DOI: 10.1680/wama.11.00076
  67. Assessing Severe Dr ought and Wet Events over India in a Future Climate using Nested Bias Correction Approach , Richa Ojha, D. Nagesh Kumar, A. Sharma, R. Mehrotra, Journal of Hydrologic Engineering , American Society of Civil Engineers (ASCE), USA, Vol. 18, No. 7, 760–772, July 2013, DOI:10.1061/(ASCE)HE.1943-5584.0000585
  68. Characterizing Drought using the Reli ability-Resilience-Vuln erability Concept , Rajib Maity, Ashish Sharma, D. Nage sh Kumar and Kironmala Chanda, Journal of Hydrologic Engineering , American Society of Ci vil Engineers (ASCE), USA, Vol. 18, No. 7, 859– 869, July 2013, DOI:10.1061/(ASCE)HE.1943-5584.0000639
  69. Predictability and Chaotic Na ture of Daily Streamflow , C.T. Dhanya and D. Nagesh Kumar, Australian Journal of Water Resources , Engineers Australia, Vol. 17, No. 1, pp. 21 1-12, 2013, DOI: 10.7158/W12-024.2013.17.1
  70. A General Geomorphological Recessi on Flow Model for River Basins , B. Biswal and D. Nagesh Kumar, Water Resources Research , AGU, Wiley InterScience, Vol. 49, No. 8, pp. 4900-4906, 2013, DOI: 10.1002/wrcr.20379
  71. Integrated Sustainable Irrigation Planning with Multiobjective Fuzzy Optimization Approach , D.V. Morankar, K. Srinivasa Raju and D. Nagesh Kumar, Water Resources Management , Springer, Vol. 27, No. 11, pp. 3981-4004, September 2013, DOI: 10.1007/s11269-013-0391-3
  72. Predictability of Non Stationary Time Se ries using Wavelet and EMD Based ARMA Models , L. Karthikeyan and D.Nagesh Kumar, Journal of Hydrology , Elsevier, 2013, Vol. 502, 103-119, 10 October 2013, DOI: 10.1016/j.jhydrol.2013.08.030
  73. Modelling the impact of extensive ir rigation on the groundwater resources , Reshmidevi T. V. and D. Nagesh Kumar, Hydrological Process , Wiley InterScience, 2013, in print, DOI: 10.1002/hyp.9615
  74. Study of Dynamic Behaviour of Recession Curves , Basudev Biswal and D. Nagesh Kumar, Hydrological Process , Wiley InterScience, 2013, in print, DOI: 10.1002/hyp.9604
  75. Multi-site Downscaling of Maximum and Minimum Daily Temperature Using Support Vector Machine , V.V. Srinivas, Bidroha Basu, D. Nagesh Kumar and Sanjay K Jain, International Journal of Climatology , Wiley InterScience, 2013, in print, DOI: 10.1002/joc.3782
  76. Assessing GCM convergence for the Indian regi on using the Variable Convergence Score, Case Study , Richa Ojha, D. Nagesh Kumar, A. Sharma, R. Mehrotra, Journal of Hydrologic Engineering, ASCE , 2013, in print, DOI: 10.1061/(ASCE)HE.1943- 5584.0000888
  77. Estimating Future Climate Change Scenarios of Surface Solar Radiation in Data Sparse Regions: A case Study in Malaprabha River Basin, India , A. Anandhi, V.V. Srinivas, D.Nagesh Kumar, R.S. Nanjundiah and P.H. Gowda, Climate Research , Inter-Research, Germany, 2013, in print, DOI: 10.3354/cr01180
  78. Copula based Modeling of TRMM TMI Bright ness Temperature with Rainfall Type , Indu J and D. Nagesh Kumar, IEEE Transactions on Geoscience and Remote Sensing , IEEE, in print, 2013.
    79. Book Chapters
  79. Satellite Remote Sensing in Irrigation Management , Chapter 6 in the book ‘ Remote Sensing Applications in Applied Geosciences’ , Edited by Saumitra Mukherjee, Manak Publications, New Delhi, 1999, ISBN 81-86562-69-9, pp.79-97.
  80. Remote Sensing Applications to Water Resources , D. Nagesh Kumar, Chapter 8 in the book Research Perspectives in Hydraulics and Water Resources Engineering , Edited by Rama Prasad and S. Vedula, World Scientific Publications, Singapore, 2002, ISBN 981-02- 4929-2, pp.287-316.
  81. Genetic Algorithms in Irrigation Planning: A Case Study of Sri Ram Sagar Project, India , K.Srinivasa Raju and D.Nagesh Kumar, Chapter 16, In New Optimization Techniques in Engineering , Edited by Godfrey C. Onwubolu and B.V. Babu, Springer-Verlag, Germany, ISBN 3-540-20167-x, 2004, pp. 431-443.
  82. ANN Applications in Hydrol ogy - Merits and Demerits , D. Nagesh Kumar, Chapter 3, In Integrated Water Resource s Planning and Management , Eds: K. Srinivasa Raju, A.K.Sarkar and Motilal Dash, Publishers: Jain Brothers, New Delhi, ISBN 81-86321-84-5, 2004, pp.31-42.
  83. An analysis of rainfall in Orissa with sea su rface temperature anomaly by similarity search technique , D. Nagesh Kumar and Rajib Maity, In Prediction in Ungauged Basins for Sustainable Watershed Management , Edited by K. Srinivasa Raju, M/S Jain Brothers, New Delhi, 2006, pp. 27 - 40.
  84. Use of Climate Variables for Streamflow Prediction , D Nagesh Kumar and Rajib Maity, Chapter 15 in Recent Advances in Wa ter Quality & Management , Eds: Sudhakar M. Rao, Monto Mani, N.H. Ravindr anath, Research Publishing Services, Singapore, 2008, pp.292-300.
  85. Fuzzy Clustering Algorithms for Irrigated Area Classi fication from IRS LISS Data , D.Nagesh Kumar, Chapter 13 in Geoinformatics for Natural Resource Management , Eds: P.K. Joshi, P. Pani, S.N. Mohapartra an d T.P. Singh, NOVA Sc ience Publishers Inc., New York, ISBN 978-160692-211-8, 2009, pp. 305-316.
  86. Modeling for Flood Control and Management , D. Nagesh Kumar, K. Srinivasa Raju and Falguni Baliarsingh, Chapter 8 in Natural and Anthropogenic Disasters: Vulnerability, Preparedness and Mitigation , Ed: M.K. Jha, Springer, The Netherlands and Capital Publishing Company, New Delhi, IS BN 978-90-481-2497-8, 2010, pp.147-168.
  87. Impact of Climate Change on Hydr ometeorological Variables in a River Basin in India for IPCC SRES Scenarios , A. Anandhi, V.V. Srinivas, D. Nagesh Kumar, Chapter 12 in Climate Change Modeling, Mitigation, and Adaptation , Eds: Rao Y. Surampalli, Tian C. Zhang, C.S.P. Ojha, B.R. Gurjar, R.D. Tyag i, and C.M. Kao, Amer ican Society of Civil Engineers (ASCE), USA, 2013, pp. 327-356.
  88. Water Resources Assessment in a River Basin using GIS and DEM , A. Anandhi, V.V. Srinivas and D. Nagesh Kumar, In Handbook of Engineering Hydrology : Vol. 3: Environmental Hydrology and Water Management , Ed. S.S. Eslamian, Taylor & Francis, in print.
  89. Elitist-Mutated Multi-Objectiv e Particle Swarm Optimization for Engineering Design , M.Janga Reddy and D. Nagesh Kumar, In Encyclopedia of Information Science & Technology , IGI Global, in print.
  90. Estimation of 'Drainable' Storage - A Geomorphological Approach, Basudev Biswal and D. Nagesh Kumar, Advances in Water Resources, Elsevier, Vol. 77, pp. 37-43, March 2015, DOI: 10.1016/j.advwatres.2014.12.009
  91. Comparative evaluation of inversion approaches of the radiative transfer model for estimation of crop biophysical parameters, Nilimesh Mridha, R.N. Sahoo, V.K. Sehgal, Gopal Krishna, S. Pargal, S. Pradhan, V.K. Gupta and D. Nagesh Kumar, International Agrophysics, Polish Academy of Sciences, Poland, Vol. 29, No. 2, pp. 201-212, April 2015, DOI: 10.1515/intag-2015-0019
  92. Ranking General Circulation Models for India using TOPSIS, K. Srinivasa Raju and D. Nagesh Kumar, Journal of Water and Climate Change, IWA Publishing, UK, Vol. 6, No. 2, pp. 288-299, 2015, DOI: 10.2166/wcc.2014.074 (Published online on 18 August 2014)
  93. Effect of Catchment Characteristics on the Relationship between past Discharge and the Power Law Recession Coefficient, Swagat Patnaik, Basudev Biswal, D. Nagesh Kumar and Bellie Sivakumar, Journal of Hydrology, Elsevier, Vol. 528, pp. 321-328, September 2015, DOI: 10.1016/j.jhydrol.2015.06.032 (Published online on 20 June 2015)
  94. Multiobjective Fuzzy Optimization for Sustainable Groundwater Management using Particle Swarm Optimization and Analytic Element Method, Shishir Gaur, K. Srinivasa Raju, D. Nagesh Kumar and Didier Graillot, Hydrological Processes, Wiley InterScience, Vol. 29, No. 19, pp. 4175-4187, September 15, 2015, DOI: 10.1002/hyp.10441 (Published online on 14 April 2015)
  95. Evaluation of Precipitation Retrievals from Orbital Data Products of TRMM over a Subtropical basin in India, J. Indu and D. Nagesh Kumar, IEEE Transactions on Geoscience and Remote Sensing, IEEE, Vol. 53, No. 12, pp. 6429-6442, December 2015, DOI: 10.1109/TGRS.2015.2440338 (Published online on 23 June 2015)
  96. Detection and Attribution of Seasonal Temperature Changes in India with Climate Models in the CMIP5 Archive, Sonali P. and D. Nagesh Kumar, Journal of Water and Climate Change, IWA Publishing, UK, Vol. 7, No. 1, pp. 83-102, March 2016, DOI: 10.2166/wcc.2015.072 (Published online on 13 October 2015)
  97. Prediction of High Spatio-Temporal Resolution Land Surface Temperature under Cloudy Conditions using Microwave Vegetation Index and ANN, H.R. Shwetha and D. Nagesh Kumar, ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, Vol. 117, pp. 40-55, July 2016, DOI: 10.1016/j.isprsjprs.2016.03.011 (Published online on 02 April 2016)
  98. Rainfall Screening Methodology using TRMM Data over a River Basin, J. Indu and D. Nagesh Kumar, Hydrological Sciences Journal, Taylor & Francis, UK, Vol. 61, No. 14, pp. 2540-2551, 2016, DOI: 10.1080/02626667.2015.1133908 (Published online on 11 July 2016)
  99. A Novel Approach to Validate Satellite Soil Moisture Retrievals using Precipitation Data, L. Karthikeyan and D. Nagesh Kumar, Journal of Geophysical Research - Atmospheres, American Geophysical Union, Vol. 121, No. 19, pp. 11,516-11,535, Oct 2016, DOI: 10.1002/2016JD024829 (Published online on 23 August 2016)
  100. Selection of Global Climate Models for India using Cluster Analysis, K. Srinivasa Raju and D. Nagesh Kumar, Journal of Water and Climate Change, IWA Publishing, UK, Vol. 7, No. 4, pp. 764-774, December 2016, DOI: 10.2166/wcc.2016.112
  101. Spatio-temporal Variability of Temperature and Potential Evapotranspiration over India, Sonali P. and D. Nagesh Kumar, Journal of Water and Climate Change, IWA Publishing, UK, Vol. 7, No. 4, pp. 810-822, December 2016, DOI: 10.2166/wcc.2016.230
  102. Intercomparison of CMIP5 and CMIP3 Simulations of the 20th Century Maximum and Minimum Temperatures over India and Detection of Climatic Trends, Sonali P., D. Nagesh Kumar and R.S. Nanjundiah, Theoretical and Applied Climatology, Springer, Vol. 128, No. 1, pp. 465-489, April 2017, DOI: 10.1007/s00704-015-1716-3 (Published online on 11 January 2016)
  103. Ranking of CMIP5 based Global Climate Models for India using Compromise Programming, K. Srinivasa Raju, Sonali P. and D. Nagesh Kumar, Theoretical and Applied Climatology, Springer, Vol. 128, No. 3, pp. 563-574, May 2017, DOI: 10.1007/s00704-015-1721-6 (Published online on 13 January 2016)
  104. Four Decades of Microwave Satellite Soil Moisture Observations: Part 1. A Review of Retrieval Algorithms, L. Karthikeyan, Pan Ming, Niko Wanders, D. Nagesh Kumar and Eric F. Wood, Advances in Water Resources, Elsevier, Vol. 109, pp. 106-120, November 2017, DOI: 10.1016/j.advwatres.2017.09.006 (Published online on 06 September 2017)
  105. Four Decades of Microwave Satellite Soil Moisture Observations: Part 2. Product Validation and Inter-satellite Comparisons, L. Karthikeyan, Pan Ming, Niko Wanders, D. Nagesh Kumar and Eric F. Wood, Advances in Water Resources, Elsevier, Vol. 109, pp. 236-252, November 2017, DOI: 10.1016/j.advwatres.2017.09.010 (Published online on 15 September 2017)
  106. Linkage between global sea surface temperature and hydroclimatology of a major river basin of India before and after 1980, Sonali Pattanayak, Ravi S Nanjundiah and D Nagesh Kumar, Environmental Research Letters, Open Access, IOP Publishing, Vol. 12, 124002, pp. 1-10, December 2017, DOI: 10.1088/1748-9326/aa9664 (Published online on 27 October 2017)
  107. Estimation of the climate change impact on a catchment water balance using an ensemble of GCMs, Reshmidevi T V., D Nagesh Kumar, R Mehrotra and A Sharma, Journal of Hydrology, Elsevier, Vol. 556, pp. 1192-1204, January 2018, DOI: 10.1016/j.jhydrol.2017.02.016 (Published online on 14 February 2017)
  108. Regional variation of recession flow power-law exponent, Patnaik S, B Biswal and D Nagesh Kumar and B Sivakumar, Hydrological Processes, Wiley InterScience, Vol. 32, No. 7, pp. 866-872, March 2018, DOI: 10.1002/hyp.11441 (Published online on 7 February 2018)
  109. Spectral-Spatial Classification of Hyperspectral Data with Mutual Information based Segmented Stacked Autoencoder Approach, Subir Paul and D. Nagesh Kumar, ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, Vol. 138, pp. 265-280, April 2018, DOI: 10.1016/j.isprsjprs.2018.02.001 (Published online in February 2018)
  110. Estimation of daily vegetation coefficients using MODIS data for clear and cloudy sky conditions, Shwetha H R and D Nagesh Kumar, International Journal of Remote Sensing, Taylor & Francis, Vol. 39, No. 11, pp. 3776-3800, 2018, DOI: 10.1080/01431161.2018.1448480 (Published online on 15 March 2018.)
  111. Assessment of surface water storage trends for increasing groundwater areas in India, Chandan Banerjee and D Nagesh Kumar, Journal of Hydrology, Elsevier, Vol. 562, pp. 780-788, July 2018, DOI: 10.1016/j.jhydrol.2018.05.052 (Published online on 24 May 2018)
  112. Prioritization of Sub-catchments of a River Basin using DEM and Fuzzy VIKOR, Srinivasa Raju K, D Nagesh Kumar, Anmol Jalali, H2 Open Journal, Open Access, IWA Publishing, UK, Vol. 1, No. 1, pp. 1-11, July 2018, DOI: 10.2166/h2oj.2017.001 (Published online on 01 December 2017)
  113. Nagesh Kumar, Water Conservation Science and Engineering, Springer, Vol.3, No. 2, pp. 129-138, July 2018, DOI: 10.1007/s41101-018-0047-5 (Published online on 27 June 2018)
  114. Performance evaluation of satellite based approaches for the estimation of daily air temperature and reference evapotranspiration, Shwetha H R and D Nagesh Kumar, Hydrological Sciences Journal, Taylor & Francis, UK, Vol. 63, No. 9, pp. 1347-1367, September 2018, DOI: 10.1080/02626667.2018.1505046 (Published online on 26 July 2018)
  115. Analyzing large-scale hydrologic processes using GRACE and hydrometeorological datasets, Chandan Banerjee and D. Nagesh Kumar, Water Resources Management, Springer, Vol. 32, No. 13, pp. 4409-4423, October 2018, DOI: 10.1007/s11269-018-2070-x (Published online on 28 July 2018)
  116. Detection and attribution of climate change signal in South India maximum and minimum temperatures, P. Sonali, Ravi S. Nanjundiah and D. Nagesh Kumar, Climate Research, Inter-Research, Germany, Vol. 76, No. 2, pp. 145-160, October 2018, DOI: 10.3354/cr01530 (Published online on 10 October 2018)
  117. Nagesh Kumar, Water Conservation Science and Engineering, Springer, Vol. 4, No. 1, pp. 1-11, March 2019, DOI: 10.1007/s41101-018-0062-6 (Published online on 07 December 2018) Article available in Springer web site
  118. Downscaling and Disaggregation of Wind Speed to River Basin in India for IPCC SRES Scenarios, Anandhi A., V.V. Srinivas, D. Nagesh Kumar and R.S. Nanjundiah, International Journal of Energy Water Food Nexus, Vol. 1, No. 1, pp. 29-41, March 2019,
  119. Multifractal Characterization of Meteorological Drought in India using Detrended Fluctuation Analysis, Adarsh S, D Nagesh Kumar, Deepthi B, Gayathri G, Aswathy SS, Bhagyasree S, International Journal of Climatology, Wiley InterScience on behalf of Royal Meteorological Society (RMetS), Vol. 39, No. 11, pp. 4234-4255, September 2019, DOI: 10.1002/joc.6070
  120. Partial informational correlation-based band selection for hyperspectral image classification, Subir Paul and D Nagesh Kumar, Journal of Applied Remote Sensing, SPIE, Vol. 13, No. 4, 046505, October 2019, DOI: 10.1117/1.JRS.13.046505
  121. Evaluation of Feature Selection and Feature Extraction Techniques on Multi-temporal Landsat-8 Images for Crop Classification, Subir Paul and D Nagesh Kumar, Remote Sensing in Earth Systems Sciences, Springer, Vol. 2, No. 4, pp 197-207, December 2019, DOI: 10.1007/s41976-019-00024-8 (Published online on 26 October 2019)
  122. Simultaneous retrieval of global scale Vegetation Optical Depth, surface roughness, and soil moisture using X-band AMSR-E observations, Karthikeyan L, Ming Pan, Alexandra G. Konings, Maria Piles, Roberto Fernandez-Moran, D. Nagesh Kumar and Eric F. Wood, Remote Sensing of Environment, Elsevier, Vol. 234, 111473, pp. 19, December 2019, DOI: 10.1016/j.rse.2019.111473
  123. Delineation of Flood-Prone Areas using Modified Topographic Index for a River Basin, Nagesh Kumar D, Apoorva R Shastry and K.Srinivasa Raju, H2Open Journal, IWA Publishing, UK, Vol. 3, No. 1, pp. 58-68, January 2020, DOI: 10.2166/h2oj.2020.021
  124. Effect of Structural Uncertainty in Passive Microwave Soil Moisture Retrieval Algorithm, Lanka Karthikeyan, Ming Pan, D. Nagesh Kumar and Eric F. Wood, Special issue on "Radar and Radiometric Sensors and Sensing", Sensors, MDPI, Switzerland, Vol. 20, No. 4, 1225, pp. 12, February 2020, DOI:10.3390/s20041225
  125. Review of Recent Advances in Climate Change Detection and Attribution Studies: A Large-Scale Hydroclimatological Perspective, Invited Review Paper, Sonali P. and D. Nagesh Kumar, Journal of Water and Climate Change, IWA Publishing, UK, Vol. 11, No. 1, pp. 1-29, March 2020, DOI: 10.2166/wcc.2020.091 (Published online on February 5, 2020)
  126. Evolutionary Algorithms, Swarm Intelligence Methods and their Applications in Water Resources Engineering: A State-of-the-Art Review, Invited Review Paper, Janga Reddy M and D. Nagesh Kumar, H2Open Journal, IWA Publishing, UK, Vol. 3, No. 1, pp. 135-188, January 2020, DOI: 10.2166/h2oj.2020.128 (Published online on June 11, 2020)
  127. Review of Approaches for Selection and Ensembling of GCMs, Invited Review Paper, Srinivasa Raju K. and D. Nagesh Kumar, Journal of Water and Climate Change, IWA Publishing, UK, Vol. 11, No. 3, pp. 577-599, September 2020, DOI: 10.2166/wcc.2020.128 (Published online on May 13, 2020)
  128. Evaluation Framework of Landsat-8 based actual evapotranspiration estimates in data-sparse catchment, Subir Paul, C. Banerjee and D. Nagesh Kumar, Journal of Hydrologic Engineering, American Society of Civil Engineers (ASCE), USA, Vol. 25, No. 9, September 2020, DOI: 10.1061/(ASCE)HE.1943-5584.0001992
  129. Canopy Averaged Chlorophyll Content Prediction of Pear Trees using Convolutional Auto-Encoder on Hyperspectral Data, Subir Paul, V. Poliyapram, N. Imamoglu, K. Uto, R. Nakamura and D. Nagesh Kumar, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), IEEE Xplore Digital Library, Vol. 13, No. 1, pp. 1426-1437, December 2020, DOI: 10.1109/JSTARS.2020.2983000 (Published online on March 30, 2020)
  130. Estimation of daily actual evapotranspiration using vegetation coefficient method for clear and cloudy sky conditions, Shwetha H.R. and D. Nagesh Kumar, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), IEEE Xplore Digital Library, Vol. 13, No. 1, pp. 2385-2395, December 2020, DOI: 10.1109/JSTARS.2020.2989422 (Published online on May 14, 2020)
  131. Transformation of Multispectral Data to Quasi-Hyperspectral Data using Convolutional Neural Network Regression, Subir Paul and D. Nagesh Kumar, IEEE Transactions on Geoscience and Remote Sensing, IEEE, Vol. 59, No. 4, pp. 3352-3368, April 2021, DOI: 10.1109/TGRS.2020.3009290 (Published online on July 23, 2020)
  132. Decline in terrestrial water recharge with increasing global temperatures, Chandan Banerjee, Ashish Sharma and D. Nagesh Kumar, Science of the Total Environment, Elsevier, Vol. 764, 142913, pp. 1-10, April 2021, DOI: 10.1016/j.scitotenv.2020.142913 (Published online on October 12, 2020)
  133. Multicriterion decision making in groundwater planning, Shishir Gaur, K. Srinivasa Raju, D. Nagesh Kumar and Mayank Bajpai, Journal of Hydroinformatics, IWA Publishing, Vol. 23, No. 3, pp. 627-638, May 2021, DOI: 10.2166/hydro.2021.122 (Published online on March 04, 2021)
  134. Estimation of Seasonal Base Flow Contribution to a Tropical River using Stable Isotope Analysis, Himanshu Bhagat, Prosenjit Ghosh and D Nagesh Kumar, Journal of Hydrology, Elsevier, Vol. 601, 126661, pp. 22, October 2021, DOI: 10.1016/j.jhydrol.2021.126661 (Published online on July 09, 2021)
  135. An overview of flood concepts, challenges, and future directions, Mishra A.K.; S. Mukherjee; B. Merz; V.P. Singh; D. Wrights; G. Villarini; Subir Paul; D. Nagesh Kumar; Prakash K Dev N; G. Schumann; and J.R. Stedinger, Journal of Hydrologic Engineering, American Society of Civil Engineers (ASCE), USA, Vol. 27, No. 6, 03122001, pp. 1-30, June 2022, DOI: 10.1061/(ASCE)HE.1943-5584.0002164 (Published online on March 24, 2022)
  136. Channel evolution of the Himalayan tributaries in northern Brahmaputra plain in recent centuries, Rajesh Kumar Sah, D. Nagesh Kumar, and Apurba Kumar Das, Acta Geophysica, Springer, Vol. 70, pp. 1317-1330, June 2022, DOI: 10.1007/s11600-022-00780-0 (Published online on May 04, 2022)
  137. Generating pre-harvest crop maps by applying Convolutional Neural Network on Multi-temporal Sentinel-1 Data, Subir Paul, Mamta Kumari, C S Murthy, and D Nagesh Kumar, Special Issue on "Learning from Data for Remote Sensing Image Analysis", International Journal of Remote Sensing, Taylor & Francis, Vol. 43, No. 15-16, pp. 6078-6101, 2022, DOI: 10.1080/01431161.2022.2030072 (Published online on February 07, 2022)
  138. Avulsion distribution on rivers in the Himalayan foreland region, Rajesh Kumar Sah, D. Nagesh Kumar, and Apurba Kumar Das, Hydrological Sciences Journal, Taylor & Francis, UK, Vol. 67, No. 14, pp. 2175-2190, 2022, DOI: 10.1080/02626667.2022.2136000
  139. Streamflow forecasting in a climate change perspective using E-FUSE, Rishith Kumar Vogeti, Sriman Pankaj Boindala, D Nagesh Kumar, and K Srinivasa Raju, Journal of Water and Climate Change, IWA Publishing, UK, Vol. 13, No. 11, pp. 3934-3950, November 2022, DOI:10.2166/wcc.2022.251
  140. Impact of bare soil pixels identification on clay content mapping using airborne hyperspectral AVIRIS-NG data: spectral indices versus spectral unmixing, George E.B., C. Gomez, D. Nagesh Kumar, S. Dharumarajan and M. Lalitha, Geocarto International, Taylor & Francis, Vol. 37, No. 27, pp. 15,912-15,934, 2022, DOI: 10.1080/10106049.2022.2102241 (Published online on 05 September 2022)
  141. Physics-informed deep learning framework to model intense precipitation events at super resolution, Teufel B., F. Carmo, L. Sushama, L. Sun, M. N. Khaliq, S. Belair, A. Shamseldin, D. Nagesh Kumar, and J. Vaze, Geoscience Letters, SpringerOpen, Vol. 10, Article No. 19, pp. 1-9, April 2023, DOI: 10.1186/s40562-023-00272-z
  142. Application of hydrological models in climate change framework for a river basin in India, Rishith Kumar Vogeti, K. Srinivasa Raju, D. Nagesh Kumar, Advani Manish Rajesh, S.V. Somanath Kumar, and Yashraj Santosh Kumar Jha, Journal of Water and Climate Change, IWA Publishing, UK, Vol. 14, No. 9, 3150, September 2023, DOI: 10.2166/wcc.2023.188 (Published online on August 28, 2023)
  143. Evaluating the parameter sensitivity and impact of hydrologic modeling decisions on flood simulations, Ashlin Ann Alexander, D. Nagesh Kumar, Wouter J.M. Knoben, and Martyn Clark, Advances in Water Resources, Elsevier, Vol. 181, 104560, November 2023, DOI: 10.1016/j.advwatres.2023.104560 (Published online on October 12, 2023)
  144. Assessment of spectral reduction techniques for endmember extraction in unmixing of hyperspectral images, George E.B., C.R. Ternikar, R. Ghosh, D. Nagesh Kumar, C. Gomez, T. Ahmad, A.S. Sahadevan, P.K. Gupta, A. Misra, Special Issue on "Parameter Retrieval and Applications with Imaging Spectroscopy Data from AVIRIS-NG", Advances in Space Research, Elsevier, Vol. 73, No. 2, pp. 1237-1251, January 15, 2024, DOI: 10.1016/j.asr.2022.06.028 (Published online on 20 June 2022)
  145. Endmember Variability based Abundance Estimation of Red and Black Soil over Sparsely Vegetated Area using AVIRIS-NG Hyperspectral Image, Sahadevan, A.S., T. Ahmad, R.B. Lyngdoh, D. Nagesh Kumar, Special Issue on "Parameter Retrieval and Applications with Imaging Spectroscopy Data from AVIRIS-NG", Advances in Space Research, Elsevier, Vol. 73, No. 2, pp. 1349-1359, January 15, 2024, DOI: 10.1016/j.asr.2023.05.027 (Published online on 19 May 2023)
  146. Boosting algorithms for projecting streamflow in the Lower Godavari Basin for different climate change scenarios, Bhavesh Rahul Mishra, Rishith Kumar Vogeti, Rahul Jauhari, K. Srinivasa Raju, and D. Nagesh Kumar Water Science and Technology, IWA Publishing, UK, Vol. 89, No. 3, pp. 613-634, 1 February 2024, DOI: 10.2166/wst.2024.011 (Published online on January 18, 2024)
  147. Deep Learning Algorithms and their Fuzzy Extensions for Streamflow Prediction in Climate Change Framework, Rishith Kumar V, Rahul Jauhari, Bhavesh Rahul Mishra, K.Srinivasa Raju, D.Nagesh Kumar, Journal of Water and Climate Change, IWA Publishing, UK, Vol. 15, No. 2, pp. 832-848, 1 February 2024, DOI: 10.2166/wcc.2024.594
  148. Assessment of surface energy fluxes relation with land cover parameters in four distinct Indian cities using remote sensing data, Ruchi Bala, Vijay Pratap Yadav, D. Nagesh Kumar, and Rajendra Prasad Theoretical and Applied Climatology, Springer, in print, 2024, DOI: 10.1007/s00704-023-04791-9 (Published online on 26 December 2023)
  149. Quantification of Surface Urban Heat Island Intensity using MODIS satellite imagery in different Indian cities, Ruchi Bala, Vijay Pratap Yadav, D. Nagesh Kumar, and Rajendra Prasad Journal of the Indian Society of Remote Sensing, Springer, in print, 2024,
    150. Conference Proceedings
  150. Markov mixture model for streamflow forecasting , S.Vedula, D.Nagesh Kumar and R.Srinivasan, Proceedings of conference on Hydromechanics and Water resources engineering, Bangalore, 4 May 1990, pp.136-145.
  151. Real time optimal reservoir operation , P.P.Mujumdar, D.Nagesh Kumar and S.Vedula, Proceedings of International conference on Computer applications in water resources, Taiwan, Vol.1, 3-6 July 1991, pp.125-133.
  152. Seasonal irrigation allocations with soil mo isture balance for variable rainfall and evaporation , D.Nagesh Kumar and S.Vedula, IAHR As ia & Pacific regional division - VIII congress, Pune, India, 20-23 October 1992, pp.A251-A261.
  153. Texture labelling and texture spec trum analysis of ERS-1 SAR data , D.Nagesh Kumar S.Jonna and S.T.Chari, Proceedings of Nati onal symposium on microwave remote sensing and users meet, Ahmedabad, 10-11 January 1994, pp.174-181.
  154. Satellite remote sensing techniques for ir rigation water management with particular reference to system monitoring and evaluation , S.Thiruvengadachari, S.Jonna, P.V.Raju, C.S.Murthy and D.Nagesh Kumar, National seminar on irrigation water management, Trivandrum, 1994.
  155. Least absolute deviations in regr ession analysis of hydrologic data , D.Nagesh Kumar, Proceedings of the National seminar on Wate r and Environment, Trivandrum, 1 December 1994, pp.2-25 to 2-34.
  156. Hydrological drought forecasting through Markov mixture modelling , S.Vedula and D.Nagesh Kumar, Proceedings of All India seminar on Na tural Disaster: Causes and Management, Bangalore, 7-9 December 1995, pp.35-40.
  157. Ranking multi criteria river basin planning and development altern atives using ELECTRE and RANFUW , P. Anand Raj and D. Nagesh Kuma r, Proceedings of International conference on Aspects of c onflicts in reservoir devel opment and management, London, UK, 3-5 September 1996, pp.375-384.
  158. Model investigations of stepped spillway , D.Nagesh Kumar, P.C. Nayak and C.R.S. Pillai, Proceedings of 2nd International Conference on Dam Safety Evaluation, Trivandrum, 26- 30 November 1996, pp. 269-277.
  159. Planning for sustainable development of a river basin using fuzzy logic , P.Anand Raj and D.Nagesh Kumar, Proceedings of Internatio nal Conference on Ci vil Engineering for Sustainable Development, Roorkee, 13-15 February 1997, pp. 173-182.
  160. Satellite Remote Sensing in Irrigation Management , D.Nagesh Kumar, Proceedings of Workshop on Remote sensing and GIS applica tions in water resources engineering, Bangalore, 17-19 September 1997, pp. II 1-10.
  161. Energy Interactions on Earth Surface , D.Nagesh Kumar, Proceedings of Workshop on Remote sensing and GIS applications in wa ter resources engineer ing, Bangalore, 17-19 September 1997, pp. IV 26-32.
  162. Digital Image Processing Techniques for Image Enhancement and Information Extraction , D.Nagesh Kumar, Proceedings of Workshop on Remote sensing and GIS applications in water resources engineering, Bangalor e, 17-19 September 1997, pp. IV 33-43.
  163. Flood Hydrograph Estimation using Wa tershed Bounded Network Model , D. Nagesh Kumar, K.C. Swain and P. Anand Raj, Pr oceedings of International Symposium on Emerging Trends in Hydrology, Roorke e, 25-27 September 1997, pp. 603-612.
  164. Stochastic Linear Pr ogramming for optimal reservoir operation - A case study , Falguni Baliarsingh and D.Nagesh Kumar, Proceedings of International conference on Large scale water resources development in developing countries: New di mensions of prospects and problems, Kathmandu, Nepal, 20-23 October 1997, pp. MM 124 - MM 130.
  165. Application of Artificial Neural Ne tworks for Rainfall-Runoff modelling , Abhijit Ray and D.Nagesh Kumar, Proceedings of 24th Nationa l conference on Fluid Mechanics and Fluid Power, Calcutta, Vol.1, 26-28 December 1997, pp. D-58 to D-61.
  166. Integrated approach for sustain able river basin development , D. Nagesh Kumar, Proceedings of Young Scientists Session, 85th Indian Scienc e Congress, Hyderabad, 3-7 January 1998, pp. 32-34.
  167. Seasonal and intraseasonal wa ter allocation under multi crop environment: A case study , S.N. Panda, D. Nagesh Kumar and P. Sabu Pa ul, Proceedings of Na tional seminar on water management for sustainable agri culture: Problems and persp ectives for the 21st Century, New Delhi, 15-17 April 1998.
  168. Forecasting hydrologic time series using Artificial Neural Networks , D. Nagesh Kumar and T. Sathish, Proceedings of Internat ional conference on Theoretical, applied, computational and experimental mechanic s, Kharagpur, India, 1-5 December 1998, published in CD-ROM.
  169. Application of multiobjecti ve fuzzy and stochastic linear programming to Sri Ram Sagar irrigation planning project of Andhra Pradesh , K. Srinivasa Raju and D. Nagesh Kumar, Proceedings of 22nd National Systems Conf erence, Calicut, 11-13 December 1998, pp. 423-428.
  170. MCDMGDSS: A Group Decision Support Sy stem for Multicriterion Analysis , K. Srinivasa Raju and D. Nagesh Kumar, Proceedings of International conference on System Dynamics, Kharagpur, India, 15-18 D ecember 1998, pp. 67-73.
  171. Group Decision Support System for Multicriterion Analysis: A case Study in India , K. Srinivasa Raju and D. Nagesh Kumar, Pr oceedings of Intern ational Conference on Information Technology, CIT-98, Bhubane swar, India, 21-23 December 1998, pp. 149- 154.
  172. Stepped spillway of Jambhira ea rth dam, Subarnarekha project, Orissa , P.C. Nayak and D.Nagesh Kumar, Proceedings of Hydro- 99, Nagpur, India, March 1999, pp. 295-298.
  173. Multicriterion evaluation of an irrigation system: a case study in South India , Srinivasa Raju, K and D.Nagesh Kumar, Civil and E nvironmental Engineering Conference: New Frontiers and Challenges, Nove mber 8-12, 1999, Asian Institute of Technology, Thailand.
  174. Space-Time Disaggregation of Streamflow dat a using k Nearest Neighbor Patterns and Optimization , D. Nagesh Kumar, Upmanu Lall and Michael Peterson, Proceedings of Xth World Water Congress, Melbourne, Australia, 12-17 March 2000, published in CD-ROM.
  175. Application of Geneti c Algorithms for Optimal Reservoir Operation , D. Nagesh Kumar, Ashok Kumar and K. Srinivasa Raju, Proc eedings of Xth World Water Congress, Melbourne, Australia, 12-17 March 2000, published in CD-ROM.
  176. Performance evaluation of an irrigation system by Analytic Hierar chy Process: A case study , K. Srinivasa Raju and D. Nagesh Kuma r, Xth World Water Congress, Melbourne, Australia, 12-17 March 2000, published in CD-ROM.
  177. Groundwater recharge modelling – An Overview , D. Nagesh Kumar, Proceedings of National Workshop on Rainwater and Groundwat er Management for Sustainable Rice Ecosystem, Kharagpur, 25-26 Se ptember 2000, pp. III 43-53.
  178. Temporal Disaggregation of Rainfall data using Artificial Neural Networks , D. Nagesh Kumar and K. Srinivasa Raju, Proceedings of International Conference on Integrated Water Resources Management for Sustainable Development (ICIWRM-2000), New Delhi, India, December 19-21, 2000, pp. 788-795.
  179. Optimal Reservoir Operation using Fuzzy Approach , D. Nagesh Kumar, D.S.V. Prasad and K. Srinivasa Raju, Proceedings of Internat ional Conference on Civil Engineering (ICCE- 2001), Interline Publishing, Bangalore, India, July 23-25, 2001, Vol. II, pp. 377-384.
  180. Satellite Remote Sensing Applications in Command Area Management , D. Nagesh Kumar, Proceedings of National Se minar on Water and Land Management including CAD for Socio-economic Upliftment of NE Region, Guwahati, Assam, India, November 22-23, 2001, Vol. I, pp. 220-228.
  181. Folded Dynamic Programming for Optima l Operation of Multi reservoir System , Falguni Baliarsingh and D. Nagesh Kumar, Proceedings of International Conference on Advances in Civil Engineering (ACE 2002) , Kharagpur, India, January 3-5, 2002, Allied Publishers, Vol. I, pp. 251-258.
  182. Application of Genetic Algorithms for Optimal Irrigation Reservoir Operation , D. Nagesh Kumar, B. Ashok and K. Srinivasa Raju, Pr oceedings of Interna tional Conference on Hydrology and Watershed Management (ICHWAM), Hyderabad, India, December 18-20, 2002, B.S. Publications, Vol. II, pp. 106-112.
  183. Optimum Cropping Pattern for Bisalpur Project in Rajasthan , K.Srinivasa Raju and D.Nagesh Kumar, Proceedings of Internati onal Conference on Water and Environment, Water Resources System Operation, Bhopal, India, Dec. 15-18, 2003, PP.322-330.
  184. Interbasin transfer proposals of peninsular rivers – Role of remote sensing and GIS , D.Nagesh Kumar, Invited Paper, Proceedings of National Workshop on Interlinking of Rivers: Concerns and Issues, Bangalore Univ ., Bangalore, December 4-6, 2003, pp. 74-82.
  185. Fuzzy Decision Support System for Multicriterion Analysis , K.Srinivasa Raju and D.Nagesh Kumar, Proceedings of 6 th International conference on Hydroinformatics, Eds: Lions, Phoon and Babovic, World Scientific Publishing Co., Singapore (ISBN 981-238- 787-0), 21-24 June, 2004, Vol. II, pp. 1171-1178.
  186. Estimation of Surface Wate r Resources for a Basin , D. Nagesh Kumar, Invited paper, Proceedings of One day workshop on ‘Basin Planning in Uttar Pradesh”, State Water Resources Agency, Govt. of UP., Lucknow, October 15, 2004, pp. 1-9.
  187. Analysis of Orissa Rainfall wi th Sea Surface Temperature A nomaly by Similarity Search Technique , D. Nagesh Kumar and Rajib Maity, I nvited paper, Proceedings of Symposium on Prediction in Ungauged basins for Su stainable Water Resources Planning and Management, BITS, Pilani, October 30, 2004, pp.7-15.
  188. Multi Reservoir Operation using particle Swarm Optimization , M. Janga Reddy, D. Nagesh Kumar, Proceedings of International C onference on Hydrologica l Perspectives For Sustainable Development (H YPESD-2005), Depart ment of Hydrology, IIT, Roorkee, India, February 23-25, 2005, pp. 556-564.
  189. Optimal reservoir operation us ing ant colony optimization , M. Janga Reddy and D. Nagesh Kumar, Proceedings of National Conference on Advances in Water Engineering For Sustainable Development (NCAWESD-2005), De pt of Civil Engineering, IIT Madras, Chennai, May 16-17, 2005, pp. 119-126.
  190. Regional Rainfall Forecasting using La rge Scale Climate Teleconnections and Evolutionary Algorithms , D.Nagesh Kumar, M. Janga Reddy and Rajib Maity, Special Session on AI Applications to Hydraulic s, Water Resources, and Environmental Engineering (HWREE2005), Proceedings of 2nd Indian Internati onal Conference on Artificial Intelligence (IICAI2005), Pune, I ndia, December 20-22, 2005, pp. 1169-1182.
  191. Multi-Objective Particle Swarm Optimiza tion for Optimal Reservoir Operation , M. Janga Reddy and D. Nagesh Kumar, Special Session on AI Applications to Hydraulics, Water Resources, and Environmental Engineeri ng (HWREE2005), Proceedings of 2nd Indian International Conference on Artificial Intellig ence (IICAI2005), Pune, India, December 20- 22, 2005, pp.1183-1192.
  192. Artificial Neural Network approach for hydr oclimatic streamflow forecasting in India using ENSO and EQUINOO, Ra jib Maity and D. Nagesh Kumar, Proceedings of World Environmental and Water Resources Congress 2006, Omaha, Nebraska, USA, Ed. Randall Graham, Published by American Society of Civil Engineers, May 21-25, 2006, pp.1-9.
  193. Taguchi Methodology for Multicriteri on Decision Making in Irrigation Planning , K.Srinivasa Raju, D. Nagesh Kumar, Proceed ings of Perspective on Environmental and Water Resources, EWRI, ASCE, December 18- 20, 2006, New Delhi, India, in CD-ROM.
  194. Bayesian dynamic linear modeling for st reamflow forecasting using large-scale atmospheric circulations , Rajib Maity and D. Nagesh Kumar, Invited paper , Proceedings of International Conference on Civil Engine ering in the New Millennium: Opportunities and Challenges (CENeM-2007), January 11-14, 2007, Bengal Engineering and Science University, Shibpur, Howrah, West Be ngal, India, Vol. IV, pp. 2736-2744.
  195. Multi-objective Differential Evolution Approac h for Optimal Control of Water Resource Systems , M. Janga Reddy and D. Nagesh Kumar, Special Session on AI Applications to hydrologic, hydraulic, and environmental e ngineering (HHE2007), Proceedings of 3rd Indian International Conference on Artific ial Intelligence (IICAI-07), Pune, India, December 17-19, 2007, pp. 824-835.
  196. Downscaling Climate Variables to River Basi n Scale in India for IPCC SRES Scenarios Using Support Vector Machine , Anandhi, A, V.V. Srinivas, D. Nagesh Kumar and R.S. Nanjundiah, Proceedings of Fourth Intern ational Conference on Water Resources and Environment Research (ICWRER), Water Do wn Under 2008, Adelaide, Australia, April 14-17, 2008, ISBN 0-858-25735-1, pp. 449-458.
  197. Integrated Reservoir Operat ion Modeling for Irrigation Systems - A Multi-Objective Approach , M. Janga Reddy and D. Nagesh Kumar, Proceedings of Fourth International Conference on Water Resources and Environm ent Research (ICWRER), Water Down Under 2008, Adelaide, Australia, April 14-17, 2008, ISBN 0-858-25735-1, pp. 1521-1531.
  198. Application of GIS, Remote Sensing and DEM to Study Cl imatic Change Effects on Hydrology, Aavudai Anandhi, V.V. Srinivas, D. Nagesh Kumar, Keynote paper , Proceedings of International Conventi on on Water Resources Development and Management (ICWRDM-2008), Birla Institute of Technology and Science (BITS), Pilani, October 23-26, 2008.
  199. Uncertainty Quantification for Hydrologic Models using Copula , Rajib Maity and D.Nagesh Kumar, Proceedings of Internat ional Conference on Water, Environment, Energy and Society, WEES-2009, New Delh i, India, January 12-16, 2009, Allied Publishers Pvt. Ltd., Ne w Delhi, ISBN 81-8424-400-2, Vol. II, pp. 920-928.
  200. Multiobjective Fuzzy and Deterministic G oal Programming for Optimal Irrigation Planning, K.Srinivasa Raju and D.Nagesh Kumar, Proceedings of International Conference on Water, Environment, Energy and Society, WEES-2009, New Delhi, India, January 12- 16, 2009, Allied Publishers Pvt. Ltd., New Delhi, ISBN 81-8424-400-2, Vol. II, pp. 967- 972.
  201. Evolutionary Computing in Op timal Reservoir Operation, M. Janga Reddy and D. Nagesh Kumar, Keynote paper , Proceedings of International Co nference on Water, Environment, Energy and Society, WEES-2009, New Delh i, India, January 12-16, 2009, Allied Publishers Pvt. Ltd., Ne w Delhi, ISBN 81-8424-400-2, Vol. II, pp. 999-1010.
  202. Fuzzy Association Rules for Prediction of Monsoon Rainfall , C.T. Dhanya, D. Nagesh Kumar, Proceedings of 4th Indian Internat ional Conference on Artificial Intelligence (IICAI-2009), Tumkur, India, December 16-18, 2009, ISBN: 978-0-9727412-7-9, pp.1299-1309.
  203. Analysis of Chaotic nature of rainfall data , C.T. Dhanya and D. Nagesh Kumar, Proceedings of 3rd International Perspect ive on Current and Future State of Water Resources and the Environment (CD-ROM), January 5-7, 2010, IIT Madras, Chennai, India.
  204. Analysis of Choatic Nature in All-India Daily Rainfall Data , C.T. Dhanya and D. Nagesh Kumar, Proceedings of International Conference on Advances in Materials, Mechanics and Management, Eds. Ruby Abraham, S. Lathes wary, and N. Unnikrishnan, Trivandrum, Kerala, India, Excel India Publishers, New De lhi, ISBN: 978-93-800043-65-4, Jan. 14-16 , 2010, Vol. 1, pp. 396-403.
  205. Selection of Suitable Irri gation Planning Strategy using S/N Ratio and TOPSIS , K.Srinivasa Raju and D. Nagesh Kumar, Proceedings of Ninth International Conference on Hydro-Science and Engineering (ICHE 2010), in CD-ROM, Editors: V.Sundar, K.Srinivasan, K.Murali and K.P. Sudheer, Indi an Institute of Technology Madras, Chennai, August 2-5, 2010, ISBN: 978-93-80689-01-2, pp. 646-654.
  206. Predictability and Chaotic Na ture of Daily Streamflow , D. Nagesh Kumar , C.T. Dhanya, Proceedings of 34th IAHR World Congress - Balance and Uncertainty, in CD-ROM, Chief Editor: Eric M. Valentine, Brisbane, Australi a, June 26 - July 1, 2011, ISBN: 978-0-85825- 868-6, pp. 1427-1434.
  207. Rain/ No Rain Classification over Tropical Regions using TRMM TMI , Indu, J. and D.Nagesh Kumar, Poster in AGU Chapma n Conference on Remote Sensing of the Terrestrial Water Cycle, Kona, Ha waii, USA, February 19-22, 2012.
  208. Impact of Agricultural Intensi fication on the Water Resources in a Semi-Arid Catchment in India , Reshmidevi, T.V. and D. Nagesh Kumar, Proceedings of 2012 International SWAT Conference, India Habitat Centre, Ne w Delhi, India, July 18-20, 2012.
Edited Books:
  1. ‘Advances in Civil Engineering’, Proceedings of International Conference on Advances in Civil Engineering, Jan 3-5, 2002, Volumes I & II, Edited by .N. Bandyopadhyay and D.Nagesh Kumar, Allied Publishers, India, 2002.
  2. Advances in Water Resources and Transportation Engineering, Select Proceedings of TRACE 2020, Edited by Yusuf A. Mehta, Iacopo Carnacina, D. Nagesh Kumar, K. Ramachandra Rao and Madhuri Kumari, Springer Nature, Switzerland, 2021. ISBN: 978-981-16-1303-6
Technical Reports
  1. Integrated Modelling for Optimal Reservoir Operation for Irrigation , D. Nagesh Kumar, Ph.D. thesis, Indian Institute of Science, Bangalore, Sept 1992.
  2. Satellite evaluation of curr ent status of command area management in RDS command, Mahaboobnagar Dt., A.P ., S.Thiruvengadachari, J.Harikishan and D.Nagesh Kumar, Feb. 1993.
  3. Diagnostic analysis of canal system pe rformance in RDS command, Mahaboobnagar Dt., A.P. using satellite remote sensing tech niques - report on 1991 & 1992 Kharif seasons , S.Thiruvengadachari, J.Harikishan and D.Nagesh Kumar, Apr. 1993.
  4. Evaluation of Irrigation wa ter management in Bhadra Pr oject command area through Satellite Remote Sensing techniques, S.Thiruvengadachari, S.Jo nna, P.V.Raju, C.S.Murthy and D.Nagesh Kumar, Dec. 1993.
  5. Satellite Remote Sensing applications in RDS command area in Andhra Pradesh, S.Thiruvengadachari, J.Harikishan and D.Nagesh Kumar, April 1994.
  6. Modifications/Alternatives for the proposed Stepped Spillway structure of Jambhira earth dam , C.R.S.Pillai and D.Nagesh Kumar, consultancy report to water resources dept. of Orissa state, April 1995.
  7. Artificial Neural Networks and their adaptability to Stochastic Hydrology , D.Nagesh Kumar, Progress report submitted to DST, September 1997.
  8. Hydrology and Power Studi es for KHEP Stage II , P.P. Mujumdar and D.Nagesh Kumar, Report submitted to Karnataka Power Corporatio n Ltd., (KPCL), Bangalore, February 2004.
  9. Flood Routing Studies , P.P. Mujumdar and D.Nagesh Kumar, Report submitted to National Waterways Development Council, Madurai, Tamilnadu, June 2004.
  10. Integrated Reservoir Operati on Studies for Reservoirs in the Narmada Basin, Discharge Data Consistency Checks , P.P. Mujumdar and D.Nagesh Kumar, Report submitted to Narmada Control Authority, Indore, October 2004.
  11. Use of climatic inputs in reservoir operation models, D.Nagesh Kumar and P.P. Mujumdar, Progress report submitted to Dept of Scien ce and Technology, New Delhi, October 2005.
  12. Water Resources Asse ssment and Management in Malapr abha Reservoir System of the Krishna River basin using AVSWAT, DE M and Particle Swarm Optimization , D. Nagesh Kumar and V.V. Srinivas, Report s ubmitted to International Water Management Institute, Colombo, South Asia Regional Of fice, C/o ICRISAT, Pa tancheru, Hyderabad, Andhra Pradesh, July 2006.
  13. Integrated Reservoir Operation Studies for Reservoirs in the Narmada Basin , P.P.Mujumdar and D.Nagesh Kumar, Report submitted to Narmada Control Authority, Indore, October 2006.
  14. Development of a Simputer-Based Decision Support System for Wa ter User Associations in Canal Command Areas , P.P.Mujumdar and D.Nagesh Kumar, DST Ref. No. ES/11/712/2003, Project Completi on Report submitted to NRDMS, Dept of Science and Technology, New Delhi, June 2007.
  15. Assessment of Water Resources under Climat e Change Scenarios at River Basin Scale , P.P. Mujumdar, D. Nagesh Kumar, V.V.Sriniv as, MoWR Ref No. 23/52/2006-R&D, Project Completion Report submitted to Indian National Committee on Hydrology (INCOH), Ministry of Water Resources, New Delhi, May 2009.
  16. Water Yield Estimates for the Mahadayi River Basin , P.P. Mujumdar, D. Nagesh Kumar, T.V. Reshmidevi, Report submitted to Wa ter Resources Devel opment Organization, Bangalore, July 2011.
  17. Future Projections of Prec ipitation and Temperature fo r Different Climate Change Scenarios at Sites in Beas Ri ver Basin on Daily Time Scale , D. Nagesh Kumar, V.V.Srinivas, Project No. CP 6376/0504/11, Report submitted to National Institute of Hydrology, Roorkee, India, May 2012.
  18. Use of climatic inputs in reservoir operation models , D. Nagesh Kumar, DST Ref. No. ES/48/010/2003, Project Completion Report submit ted to Dept. of Science and Technology, New Delhi, September 2013.
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