ASHU JAIN

 

Contact Address:

 

Department of Civil Engineering

Indian Institute of Technology Kanpur

Kanpur – 208 016, INDIA

91+512+259 7411(O)/7395 (Fax)

 

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Top   Education   Experience   Publications   Projects   Co-curricular Activities   Other Activities   Links

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EDUCATION

 

Ph.D. (Civil Engg.), December 1994, University of Kentucky, Lexington, KY, USA

Dissertation:    Development of a decision support system for drought characterization & management

M. Tech. (Civil Engg.), January 1990, IIT Bombay, India

Thesis: Optimal operation of multiple reservoir systems by linear programming approach

B.E. (Civil Engg.), February 1988, Malaviya Regional Engg. College, Jaipur, India

 

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Top   Education   Experience   Publications   Projects   Co-curricular Activities   Other Activities   Links

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EXPERIENCE

 

Dec 2010 – Present

Professor, Department of Civil Engineering

IIT Kanpur, India

Dec 2005 – Nov 2010

Associate Professor, Department of Civil Engineering

IIT Kanpur, India

Dec 1997 – Nov 2005

Assistant Professor, Department of Civil Engineering

IIT Kanpur, India

Nov 1996 – Nov 1997

Project Engineer, The Oyekan Group USA, Inc.

Dallas, TX, USA

Dec 1994 – May 1996

Assistant Engineer-II, Michael Baker Jr., Inc.

Alexandria, VA, USA

 

 

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Top   Education   Experience   Publications   Projects   Co-curricular Activities   Other Activities   Links

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PUBLICATIONS

 

Books/Book Chapters

 

  1. Deb, K., Bhattacharya, A., Chakraborti, N., Chakroborty, P., Das, S., Dutta, J., Gupta, S.K., Jain, A., Aggarwal, V., Branke, J., Louis, S. J., and Tan, K. C. (eds.) (2010). Proceedings of Eighth International Conference on Simulated Evolution and Learning. Kanpur, India. (Lecture Notes in Computer Science 6457), Heidenberg: Springer.

 

  1. Satyanarayana, P., Jain, A., and Dikshit, O. (2009), Estimation of flood affected areas using classification of satellite images of a major Indian River. In: KK Singh and A.K. Singh (eds), Natural and Manmade Disasters: Vulnerability, Preparedness, and Mitigation, MD Publications Pvt. Ltd., New Delhi.

 

  1. Srinivasulu, S. and Jain, A (2008), Rainfall-runoff modelling:  Integrating available data and modern techniques. In: RJ Abrahart, LM See, D Solomatine (eds.), Practical Hydroinformatics: Computational intelligence and technological developments in water applications, Springer-Verlag, 59-70.

 

  1. See, LM, Jain, A, Abrahart, RJ, and Dawson, CW (2008), Visualisation of hidden neuron behaviour in a neural network rainfall-runoff model. In RJ Abrahart, LM See, and D Solomatine (eds.), Practical Hydroinformatics: Computational intelligence and technological developments in water applications, Springer-Verlag, 87-99.

 

  1. Jain, A and Srinivasulu, S. (2008), Hydrologic model calibration using evolutionary optimisation. In: RJ Abrahart, LM See, and D Solomatine (eds.), Practical Hydroinformatics: Computational intelligence and technological developments in water applications, Springer-Verlag, 293-303.

 

Papers in Journals

 

Published/In Press

 

1.      Jain, A. and Narain, S. (2014), Modeling rainfall magnitude using neural system models, Intl. J. Wat. Resour. & Env. Mgmt., 4(2), 1-11.

 

2.      Narain, S. and Jain, A. (2011), Development of advanced neuron models for rainfall-runoff modeling, Intl. J. Earth Sciences and Engg., 4(6), 216-221.

 

3.      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, Env. Mod. Software, 25, 891-909, doi:10.1016/j.envsoft.2010.02.003.

 

4.      Jain, A. and Kumar, S. (2009), Dissection of trained neural network hydrologic model architectures for knowledge extraction, Wat. Resour. Res, 45, W07420, doi:10.1029/2008WR007194.

 

5.      Srinivasulu, S. and Jain, A. (2009), River flow prediction using an integrated approach, J. Hydrol. Engg., ASCE, 14(1), 75-83.

 

6.      Jain, A., Maier, H.R., Dandy, G.C., and Sudheer, K.P. (2009), Rainfall-runoff modeling using neural networks: State-of-the-art and future research needs, ISH J. Hydraul. Engg., 15(SP1), 52-74.

 

7.      Sudheer, K.P. and Jain, A. (2009), Recent advances in knowledge extraction from neural network based hydrologic models, ISH J. Hydraul. Engg., 15(SP1), 75-83.

 

8.      Jain, A. (2008), Review of Neural Networks for Hydrological Modelling by Robert J. Abrahart, Paulene E. Kneale, and Linda M. See 2004, ASCE J. Hydrol. Engg., 13(10), 997.

 

9.      Jain, A. (2008), Possible impacts of rainwater harvesting, J. Ind. Wat. Resour. Soc, 28(4), 1-8.

 

10.  Jain, A., Jha, S.K., and Misra, S. (2008), Modeling and analysis of concrete slump using artificial neural networks, J. Materials in Civil Engg, ASCE, 20(9), 628-633.

 

11.  Jain, A. and Kumar, A.M. (2007), Hybrid neural network models for hydrologic time series forecasting, J. Applied Soft. Computing, 7(2), 585-592.

 

12.  Jain, A. (2006), Comment on Integration of artificial neural networks with conceptual models in rainfall-runoff modeling by Jieyun Chen and Barry J. Adams, 2006.  Journal of Hydrology 318, 232-249, J. Hydrol, 329(1-2), 274-276.

 

13.  Kumar J., Jain, A., and Srivastava, R. (2006), Neural network based solutions for locating groundwater pollution sources, Hydrology J., 29(1-2), 55-66.

 

14.  Jain, A., Jha, S.K., and Misra, S. (2006), Modelling compressive strength of concrete using artificial neural networks, Ind. Concrete. J., October, 17-22.

 

15.  Jain, A. and Kumar, A. (2006), An evaluation of artificial neural network technique for the determination of infiltration model parameters, J. Applied Soft Computing, 6(3), 272-282.

 

16.  Srinivasulu, S. and Jain, A. (2006), A comparative analysis of training methods for artificial neural network rainfall-runoff modeling, J. Applied Soft Computing, 6(3), 295-306.

 

17.  Jain, A. and Srinivasulu, S. (2006), Integrated approach to modelling decomposed flow hydrograph using artificial neural network and conceptual techniques, J. Hydrol., 317(3-4), 291-306.

 

18.  Jain, A. (2005), Comment on comparison of static-feedforward and dynamic-feedback neural networks for rainfall-runoff modeling by Y.M. Chiang, L.C. Chang, and F.J. Chang, 2004. Journal of Hydrology 290 (3-4), 297-311, J. Hydrol., 314, 207-211.

 

19.  Jain, A., Misra, S., and Jha, S.K. (2005), Discussion of application of neural networks for estimation of concrete strength by Jong-In Kim, Doo Kie Kim, Maria Q. Feng, and Frank Yazdani, J. Materials in Civil Engg, ASCE, 17(6), 736-738.

 

20.  Jain, A., Srinivasulu, S., and Bhattacharjya, R. (2005), Determination of an optimal unit pulse response function using real-coded genetic algorithm, J. Hydrol., 303(1-4), 199-214.

 

21.  Jain, A. and Ormsbee, L.E. (2004), An evaluation of the available techniques for estimating missing fecal coliform data, J. American Water Resour. Assoc., 40(6), 1617-1630.

 

22.  Singh, R.M., Datta, B., and Jain, A. (2004), Identification of unknown groundwater pollution sources using artificial neural networks, J. Water Resour. Plng. & Mgmt, ASCE, 130(6), 506-514.

 

23.  Jain, A. and Indurthy, S.K.V.P. (2004), Closure of comparative analysis of event based rainfall-runoff modeling techniques-deterministic, statistical, and artificial neural networks, J. Hydrol. Engg., ASCE, 9(6), 551-553.

 

24.  Sudheer, K.P., Jain, A., and Srinivasulu, S. (2004), Discussion of performance of neural networks in daily streamflow forecasting by S. Birikundavyi, R. Labib, H. T. Trung and J. Rousselle, J. Hydrol. Engg., ASCE, 9(6), 553-555.

 

25.  Jain, A., Bhattacharjya, R., and Sanaga Srinivasalu (2004), Optimal design of composite channels using genetic algorithm, J. Irrig. & Drain. Engg., ASCE, 130(4), 286-295.

 

26.  Regonda, S.K., Sivakumar, B, and Jain, A. (2004), Temporal scaling in river flow: Can it be chaotic?, Hydrol. Sciences J., 49(3), 373-385.

 

27.  Jain, A. and Srinivasulu, S. (2004), Development of effective and efficient rainfall-runoff models using integration of deterministic, real-coded genetic algorithms, and artificial neural network techniques, Water Resour. Res., 40(4), W04302, doi:10.1029/2003WR002355.

 

28.  Sudheer, K.P. and Jain, A. (2004), Explaining the internal behavior of artificial neural network river flow models, Hydrol. Processes, 118(4), 833-844.

 

29.  Jain, A., Sudheer, K.P., and Srinivasulu, S. (2004), Identification of physical processes inherent in artificial neural network rainfall runoff models, Hydrol. Processes, 118(3), 571-581.

 

30.  Jain, A., and Indurthy, S.K.V.P. (2003), Comparative analysis of event based rainfall-runoff modeling techniques-deterministic, statistical, and artificial neural networks, J. Hydrol. Engg., ASCE, 8(2), 93-98.

 

31.  Jain, A. and Ormsbee, L.E. (2002), Evaluation of short-term water demand forecast modeling techniques: Conventional methods versus AI, J. American Water Works Assoc., 94(7), 64-72.

 

32.  Jain, A. and Ormsbee, L.E. (2001), A decision support system for drought characterization and management, Civil Engg. and Env. Syst., 18, 105-140.

 

33.  Jain, A., Varshney, A.K., and Joshi, U.C. (2001), Short-term water demand forecast modelling at IIT Kanpur using artificial neural networks, Water Resour. Mgmt., 15(5), 299-321.

 

Papers in Conference Proceedings

 

1.      Vidyarthi, V. K. and Jain, A. (2014), Comparison of conceptual and neural network rainfall-runoff models, Proc. AGU Fall Meeting 2014, December 15-19, 2014, San Francisco, California, USA.

 

2.      Vidyarthi, V. K. and Jain, A. (2014), Investigation of sensitivity of popular training methods to initial weights in ANN rainfall-runoff modeling, Proc. 3rd International Conference on Hydrology & Meteorology (Hydrology-2014), 15-16 September 2014, Hyderabad, India.

 

3.      Ayaz, M., Srivastava, R., and Jain, A. (2014), Groundwater pollution source identification using linked ANN-optimization model, Proc. EGU General Assembly 2014, 27 April – 02 May, 2014, Vienna, Austria.

 

4.      Narain, S. and Jain, A. (2014), Advanced neuro-hydrological models for rainfall-runoff modeling, Proc. 3rd International Conference on Evolution in Science and Technology and Eyne on Educational Methodologies (ESTEEM-2014), 8-9 March 2014, PPIMT, Hisar, India.

 

5.      Srivastava, R., Ayaz, M. and Jain, A. (2013), Estimation of release history of pollutant source and dispersion coefficient of aquifer using trained ANN model, Proc. AGU Fall Meeting 2013, December 9-13, 2013, San Francisco, California, USA.

 

6.      Gupta, H.K. and Jain, A. (2013), Development of stage-discharge relationship using simple rating curve, ANN and data transformation techniques, 2nd International Conference on Hydrology and Groundwater Expo, 26-27 August 2013, Raleigh, North Carolina, USA.

 

7.      Jamal, J.F. and Jain, A. (2011), Comparison of conceptual and neural network models for daily rainfall-runoff modeling, Proc. of Intl. Conf. on Chemical, Ecology, and Env. Sciences (ICCEES2011), 17-18 December 2011, Pattaya, Thailand.

 

8.      Ganti, R. and Jain, A. (2011), Architecture determination of ANN using binary coded GA, Proc. of Intl. Conf. on Chemical, Ecology, and Env. Sciences (ICCEES2011), 17-18 December 2011, Pattaya, Thailand.

 

9.      Jain, A. and Ganti, R. (2011), Comparison of conventional and ANN models for river flow forecasting, Session H23H - Uncertainty Assessment, Optimization, and Sensitivity Analysis in Integrated Hydrologic Modeling as Applications of HydroInformatics - Proc. AGU Fall Meeting 2011, December 5-9, 2011, San Francisco, California, USA.

 

10.  Ganti, R. and Jain, A. (2011), Input variable selection for hydrologic modeling using ANNs, Session H23H - Uncertainty Assessment, Optimization, and Sensitivity Analysis in Integrated Hydrologic Modeling as Applications of HydroInformatics - Proc. AGU Fall Meeting 2011, December 5-9, 2011, San Francisco, California, USA.

 

11.  Narain, S. and Jain, A. (2011), Development of advanced neuron models for rainfall-runoff modeling, Proc. of Intl Conf. on Advances in Civil Engg. (ACE-2011), 21-23 October 2011, Vijayawada, India.

 

12.  Dutta, D. and Jain, A. (2011), Modelling of Indian summer monsoon rainfall using global climatic teleconnection data, Proc. of VI EWRA Intl. Symposium – Water Engineering and Management in the Changing Environment, 29 June – 02 July, 2011, Catania, Italy.

 

13.  Ganti, R. and Jain, A. (2011), Comparison of various optimization methods for training of ANN river flow model, Proc. of VI EWRA Intl. Symposium – Water Engineering and Management in the Changing Environment, 29 June – 02 July, 2011, Catania, Italy.

 

14.  Singla, S. and Jain, A. (2011), Monthly monsoon rainfall forecasting using regression and artificial neural network models, Proc. of VI EWRA Intl. Symposium – Water Engineering and Management in the Changing Environment, 29 June – 02 July, 2011, Catania, Italy.

 

15.  Bhatt D. and Jain, A. (2010), Neural networks for hydrological modeling tool for operational purposes, Proc. of Special Session HS8.1 Hydroinformatics: computational intelligence and systems analysis, EGU’s General Assembly 2010, 2-7 May 2010, Vienna, Austria.

 

16.  Bhatt D. and Jain, A. (2010), Comparison of various optimization methods for calibration of conceptual rainfall-runoff models, Proc. of Special Session HS8.1 Hydroinformatics: computational intelligence and systems analysis, EGU’s General Assembly 2010, 2-7 May 2010, Vienna, Austria.

 

17.  Narain, S. and Jain, A. (2010), Hydrological modeling:  An approach with neural system models and their sensitivity to initial solution, Proc. of the International Conference on Hydrology and Watershed Management (ICHWAM-2010), 3-6 February 2010, JNTU Hyderabad, India.

 

18.  Jain, A. (2009), Advancements in hydrologic modeling using artificial neural networks, Proc. of Workshop on Development and Application of Advanced Soft Computing Techniques in Multidimensional Geospatial Data Analysis (WAST2009), 15-16 October 2009, IIT Kanpur, Kanpur, India.

 

19.  Kumar, S. and Jain, A. (2008), Knowledge extraction from trained neural network hydrologic models, Proc. of the National Conference HYDRO2008, 15-16 December 2008, MNIT Jaipur, Rajasthan, India.

 

20.  Jain, A., Maier, H.R., Dandy, G.C., Sudheer, K.P. (2008), “Rainfall-runoff modeling using neural networks: State-of-the-art and future research needs”, Proc. of the Brainstorming Workshop on Application of Advanced Soft Computing Techniques in Geospatial Data Analysis, 22-23 September 2008, IIT Bombay, Mumbai, India.

 

21.  Sudheer, K.P. and Jain, A. (2008), “Recent advances in knowledge extraction from neural network based hydrologic models”, Proc. of the Brainstorming Workshop on Application of Advanced Soft Computing Techniques in Geospatial Data Analysis, 22-23 September 2008, IIT Bombay, Mumbai, India.

 

22.  Jain, A. (2008), “Integrated approaches for runoff forecasting”, REACH2008 Symposium, 15-18 March 2008, Khajuraho, M.P, Organized by IIT Kanpur, India.

 

23.  Satyanarayana, P., Dikshit, O., and Jain, A. (2007) “Estimation of flood inundation using remote sensing and hydraulic techniques”, Proc. of National Conf. on Soft Computing Applications in Water Resources and Environmental Engg.. (NC-SCAWREE2007), 14-15 December, 2007, Hyderabad, India.

 

24.  Narain, S., and Jain, A. (2007), “Artificial neuron models for hydrological modeling”, Proc. Intl. Joint Conf. on Neural Networks, 12-17 August, 2007, Orlando, USA.

 

25.  Satyanarayana, P., Jain, A., and Dikshit, O. (2007) “A Study on effects of manmade structures on river flow & floodplain using GIS”, Proc. of National Conf. on Watershed Magmt. & Impact of Env. Changes on Water Resources. (WMEC2007), 22-23 February, 2007, Hyderabad, India.

 

26.  Narain, S., and Jain, A. (2006), “Hydrological modeling using generalized artificial neuron model”, Proc. ASCE-EWRI Intl. Conf. - An International Perspective on Environmental and Water Resources, 18-20 December, 2006, New Delhi, India.

 

27.  Kumar, J., Ostrowski, M.W., and Jain, A. (2006), “A SWOT analysis of ANN versus conceptual, physically oriented modelling based on lysimeter data”, Proc. The 7th International Conference on Hydroinformatics 2006, September 4 -8, 2006, Acropolis, Nice, France.

 

28.  Kumar J., Jain, A., and Srivastava, R. (2006), “Estimating groundwater pollution source location using neural networks presented with partial and noisy breakthrough curve data”, Proc. of Special Session HS38 Hydroinformatics: Computational intelligence and technological developments in water science applications, EGU’s General Assembly 2006, 2-7 April 2006, Vienna, Austria.

 

29.  Kumar A., and Jain, A. (2006), “Assessment of neural network technique for estimating fecal coliform based on hydrologic and climatic data”, Proc. of Special Session HS38 Hydroinformatics: Computational intelligence and technological developments in water science applications, EGU’s General Assembly 2006, 2-7 April 2006, Vienna, Austria.

 

30.  Kumar J., Jain, A., and Srivastava, R. (2006), “Estimating groundwater pollution source location using neural networks and noisy breakthrough curve data”, Proc. of Special Session HS33 Subsurface flow, solute transport, end energy processes: Concepts, modelling, and observations, EGU’s General Assembly 2006, 2-7 April 2006, Vienna, Austria.

 

31.  Narain, S., and Jain, A. (2006), “Modeling rainfall occurrence using neural networks”, Proc. of Special Session HS38 Hydroinformatics: Computational intelligence and technological developments in water science applications, EGU’s General Assembly 2006, 2-7 April 2006, Vienna, Austria.

 

32.  Singh, S.P., and Jain, A. (2006), “Optimal design of composite channels using classical methods and genetic algorithm”, Proc. of Special Session HS38 Hydroinformatics: Computational intelligence and technological developments in water science applications, EGU’s General Assembly 2006, 2-7 April 2006, Vienna, Austria.

 

33.  Narain, S. and Jain, A. (2005), “Evaluation of the sensitivity of learning rate on the training of neural network hydrologic models”, Session H35 – Soft computing tools for hydrologic modeling  - Proc. AGU Fall Meeting 2005, December 5-9, 2005, San Francisco, California, USA.

 

34.  Jha, S.K., Ostrowski, M.W., and Jain, A. (2005), “Evaluating impacts of land use/land cover changes on water balance of a small watershed using a distributed hydrologic model”, Session H16 – Impacts of land use/land cover change on the water cycle  - Proc. AGU Fall Meeting 2005, December 5-9, 2005, San Francisco, California, USA.

 

35.  Kumar J., Jain, A., and Srivastava, R. (2005), “Locating groundwater pollution source using breakthrough curve characteristics and artificial neural networks”, Session H35 – Soft computing tools for hydrologic modeling  - Proc. AGU Fall Meeting 2005, December 5-9, 2005, San Francisco, California, USA.

 

36.  Narain, S. and Jain, A. (2005), Prediction of rainfall occurrence using a single artificial neuron model, Proc. National Conf. on Hydraulic, Water Resources, Coastal, and Environmental Engineering with Special Emphasis on Tsunami (HYDRO2005), December 8-9, 2005, Siddaganga Institute of Technology, Tumkur, Karnataka, India.

 

37.  Jain, A., Jha, S.K., and Misra, S. (2005), Estimation of concrete slump based on mix constituents using artificial neural networks, Special session on natural computing in infrastructure engineering and management - Proc. IICAI2005: Second Indian Intl. Conf. on Artificial Intelligence, December 20-22, 2005, Pune, India.

 

38.  Ghosh, S., Kumar, S., and Jain, A. (2005), Godavari river flow prediction using neural networks, Proc. National Conf. on Hydraulic, Water Resources, Coastal, and Environmental Engineering with Special Emphasis on Tsunami (HYDRO2005), December 8-9, 2005, Siddaganga Institute of Technology, Tumkur, Karnataka, India.

 

39.  Kumar J., Jain, A., and Srivastava, R. (2005), “Estimating groundwater pollution source location from observed breakthrough curves using neural networks”, Special session on AI Applications to Hydraulics, Water Resources, and Environmental Engineering  - Proc. IICAI2005: Second Indian Intl. Conf. on Artificial Intelligence, December 20-22, 2005, Pune, India.

 

40.  Jain, A. (2005), “Hydrological aspects of CTCZ and rainfall-runoff estimation and modeling in the Indo-Gangetic plains”, Proc. of the Brainstorming Seminar on Continental Tropical Convergence Zone (CTCZ), under the Department of Science and Technology’s Indian Climate Research Programme, 28-30 June 2005, Birla Institute of Technology Mesra, Ranchi, pp 68-71.

 

41.  Jha, S.K. and Jain, A. (2005), Identification of trends in training of ANN rainfall-runoff models for improved training performance”, Proc. of Special Session on Data-Driven and Computational Intelligence Methods in Flood Forecasting, EGU’s General Assembly 2005, 24-29 April 2005, Vienna, Austria.

 

42.  Jha, S.K. and Jain, A. (2005), Evaluation of ANN technique for rainfall-runoff modeling in a large watershed”, Proc. Intl. Conf. on Hydrological Perspectives for Sustainable Development (HYPESD2005), February 23-25, 2005, IIT Roorkee, Roorkee , India.

 

43.  Jain, A. (2004), “Adverse impacts of large-scale rainwater harvesting”, Proc. of the National Conference on Resources Conserving Technologies for Social Upliftment (RCTSU2004), December 07-09, 2004, New Delhi, India.

 

44.  Mohapatra, P.K., Jha, S.K. and Jain, A. (2004), Predicting dam break flow by using artificial neural networks”, Proc. Intl. Conf. on Hydraulic Engineering: Research and Practice (ICON-HERP-2004), October 26-28, 2004, IIT Roorkee, Roorkee, India.

 

45.  Srinivasulu, S. and Jain, A. (2003), “Comparative analysis of training algorithms for ANN rainfall-runoff models”, Proc. IICAI2003: First Indian Intl. Conf. on Artificial Intelligence, December 18-20, 2003, Hyderabad, India.

 

46.  Singh, R.M., Datta, B., and Jain, A. (2003), “Estimation of unknown flow and transport parameters in groundwater using artificial neural networks”, Proc. WE2003:  Intl. Conf. on Water and Environment, December 15-18, 2003, India.

 

47.  Jain, A. and Kumar, A. (2003), “Calibration of infiltration parameters using artificial neural networks", Proc. IICAI2003: First Indian Intl. Conf. on Artificial Intelligence, December 18-20, 2003, Hyderabad, India.

 

48.  Srinivasulu, S. and Jain, A. (2003), “Systems theoretic approach to modeling rainfall-runoff process with conceptual component”, Proc. River Basin Management 2003:  Second Intl Conf. on River Basin Mgmt., 28-30 April 2003, Las Palmas, Gran Canaria, Spain.

 

49.  Srinivasulu, S. and Jain, A. (2003), “Optimal unit hydrograph using genetic algorithm”, Proc. River Basin Management 2003:  Second Intl Conf. on River Basin Mgmt., 28-30 April 2003, Las Palmas, Gran Canaria, Spain.

 

50.  Jain, A. and Srinivasulu, S. (2002), “Calibration of infiltration parameters using genetic algorithm”, Proc. of HYDRO 2002: Conference On Hydraulics, Water Resources & Ocean Engg., December 16-17, 2002, IIT Bombay, Bombay, India.

 

51.  Jain, A. and Srinivasulu, S. (2002), “Rainfall-runoff pattern mapping using artificial neural networks”, Proc. of Intl Conference on Hydrology and Watershed Management with a focal theme on water quality and conservation for sustainable development, December 18-20, 2002, Centre for Water Resources, Institute of Post Graduate Studies and Research, JNTU Hyderabad, India.

 

52.  Singh, R.M., Datta, B., and Jain, A. (2002), “Identification of unknown groundwater pollution sources using artificial neural networks”, Proc. Intl. Conf. on Adv. in Civil Engg. (ACE 2002), January 2002, IIT Kharagpur, India.

 

53.  Jain, A., Joshi, U.C., and Varshney, A. (2000), “Short-term water demand forecasting using artificial neural networks: IIT Kanpur experience”, Proc. 15th Intl. Conference on Pattern Recognition, September 3-7, 2000, Barcelona, Spain.

 

54.  Jain, A. and Indurthy, S.K.V.P. (2000), “Rainfall-runoff modeling using artificial neural networks”, Proc. IIHA’s Intl. Conference: Hydroinformatics 2000, July 23-27, 2000, Cedar Rapids, Iowa, USA.

 

55.  Ormsbee, L.E., Reddy, A., Gruzesky, S., and Jain, A. (1994), “A decision support system for the assessment and management of CSOs in the state of Kentucky”, In a global perspective for reducing CSOs: Balancing technologies, costs, and water quality”, Proc. Water Env. Federation’s Specialty Conference, July 10-13, Louisville, Kentucky, USA.

 

56.  Jain, A. and Ormsbee, L.E. (1994), “Short-term municipal water use forecast modeling using artificial intelligence”, Proc. AWWA 4th Annual Specialty Conference on Computers in the Water Industry, April, Los Angeles, California, USA.

 

57.  Jain, A. and Ormsbee, L.E. (1994), “Impact of combined sewer overflows (CSOs) on the water quality of Licking River in northern Kentucky”, Proc. of Ohio River Valley Sanitation Commission (ORSANCO)’s Symposium on CSOs on Natural Streams, July 15, 1994, Louisville, Kentucky, USA.

 

58.  Jain, A. and Ormsbee, L.E. (1993), “Short-term municipal water use forecasting using artificial neural networks and expert systems”, Proc. Kentucky Water Resources Symposium, December, University of Kentucky, Lexington, Kentucky, USA.

 

59.  Jain, A. and Ormsbee, L.E. (1993), “Comparison of short-term water demand forecast models for municipal water use”, Proc. ASCE Water. Resour. Plng. & Mgmt. Division’s 20th Anniversary Conference, May, Seattle, Washington, USA.

 

60.  Jain, A. and Ormsbee, L.E. (1992), “Evaluation of short-term forecast modeling for municipal water use”, Proc. AWWA 3rd Annual Specialty Conference on Computers in the Water Industry, March, Nashville, Tennessee, USA.

 

61.  Jain, A. and Ormsbee, L.E. (1991), “Development of a decision support system for drought characterization and management:  Application to Kentucky River basin”, Proc. Kentucky Water Resources Symposium, March, University of Kentucky, Lexington, Kentucky, USA.

 

Papers in Technical Magazines

 

1.      Jain, A. (2012), Modelling of Indian summer monsoon rainfall – Directions - Special Issue on Water, published by IIT Kanpur.

 

2.      Jain, A. (2008), Integrated approaches for runoff forecasting, Special issue on REACH Symposium 2008 - Directions, Vol. 9, Issue 1, published by IIT Kanpur, pp 120-126.

 

3.      Jain, A. (2006), Improved performance of hydrologic and water resources systems using soft computing techniques, Special issue on soft computing - Directions, Vol. 7, Issue 3, published by IIT Kanpur, pp 42-48.

 

4.      Jain, A. (2005), Hydrological aspects of CTCZ and rainfall-runoff estimation and modeling in the Indo-Gangetic plains, Proc: Brainstorm seminar on continental tropical convergence zone (CTCZ), under the Department of Science and technology’s Indian Climate Research Programme, 28-30 June, 2005, Birla Institute of Technology, Mesra, Ranchi, pp 68-71.

 

Technical Reports

 

Authored/co-authored the following technical reports:

 

1.      Hydraulic model study of a bridge at the confluence of Yamuna and Ken rivers near Chillaghat (2009), Technical report submitted to Public Works Department, UP, India.

 

2.      Hydraulic model study of a bridge on Ganga River near Farrukhabad (2008), Technical report submitted to UP State Bridge Corporation, UP, India.

 

3.      Assessment of design of guide bunds at Allahabad by-pass bridge on river Ganga (2006), Technical report submitted to National Highway Authority of India, UP, India.

 

4.      Hydraulic model study for a bridge to be built over River Ganga at Baxar (2005), Technical report submitted to National Highway Authority of India, UP, India.

 

5.      Hydraulic Model Studies for River Training Works on the Ghaghra River near Kamariaghat (2003), Technical Report Submitted to DHV Consultants, BV, Lucknow, UP, India.

 

6.      Model Studies for the Selection of a Bridge Site on the Ghaghra River near Chehlarighat (2003), Technical Report Submitted to DHV Consultants, BV, Lucknow, UP.

 

7.      Hydraulic Model Studies of the Bridge Proposed on River Ganga near Allahabad (2003), Technical Report Submitted to Tandon Consultants Pvt. Ltd., New Delhi, India.

 

8.      GAIL Pipeline Protection from the Meandering of River Yamuna (2003), Technical Report Submitted to the Gas Authority of India Limited, Agra, UP, India.

 

9.      Model Studies for the Selection of a Bridge Site on the Ramganga River in Shahjahanpur (2002), Technical Report Submitted to Uttar Pradesh Public Works Department, Shahjahanpur, UP, India.

 

10.  Model Studies for the Selection of a Bridge Site on the Sarada River near Lakhimpur (2002), Technical Report Submitted to DHV Consultants, BV, Lucknow, UP, India.

 

11.  Model Studies for the Selection of a Bridge Site on the Rapti River in District Shravasti (2002), Technical Report Submitted to Uttar Pradesh Public Works Department, Shravasti, UP, India.

 

12.  River Training Works for the Gomti River near Gandhi Setu in Lucknow, (2001) Technical Report Submitted to Lucknow Development Authority, Lucknow, UP, India.

 

13.  Hydraulic Design of Entry Channel to Sump for Kanpur City Water Supply at Ganga Barrage (2001), Technical Report Submitted to Uttar Pradesh Jal Nigam, Kanpur, UP, India.

 

14.  Development of Drainage Master Plan for Kanpur-South under The Kanpur Development Authority (2001), Technical Report of the Project No. C-KDA-CE-19980150, Submitted to The Chief Engineer, Kanpur Development Authority, Kanpur, UP, India.

 

15.  Effects of Small Rainwater Harvesting Structures on the Regional Water Balance of Arvari River Basin in Alwar District (1999), A Brief Technical Report Submitted to the Centre for Science and Environment, New Delhi, India.

 

16.  Development of a Data Analysis Framework for the Assessment and Management of Combined Sewer Overflows in Kentucky (1994), Technical Report No. UKCE9401 Submitted to Kentucky Natural Resources and Environmental Protection Cabinet, USEPA, Lexington, Kentucky, USA.

 

17.  Development of a Decision Support System for Drought Characterization and Management:  Application to Lexington, Kentucky (1992), Technical Research Report No. 182 Submitted to the US Department of Interior under Agreement No. 14-08-0001-G2021, Kentucky Water Resources Research Institute, Lexington, Kentucky, USA.

 

_____________________________________________________________________________________________

 

Top   Education   Experience   Publications   Projects   Co-curricular Activities   Other Activities   Links

_____________________________________________________________________________________________

 

 

CONSULTANCY/RESEARCH PROJECTS

 

1.      Hydraulic model studies of the Pipra Ghat bridge proposed on River Rapti in Balrampur, Sponsored by Public Works Department, Balrampur, UP, Amount Rs. 16,54,500, No. PWD /CE /20120033 (as Co-PI).

 

2.      Monsoon rainfall forecasting using neural networks, Sponsored by Department of Science and Technology, Government of India, New Delhi, Amount Rs. 15,90,000, No. DST/CE/20090172.

 

3.      A Study for the self sustainability of a water body proposed in the Janeswar Mishra Lucknow Park, Sponsored by Lucknow Development Authority, Lucknow, UP, Amount Rs. 724,426.

 

4.      Preparation of code and guidelines of using code of ANN, Sponsored by Consulting Engineering services, New Delhi, Amount Rs. 181,414, No. CES/CE/20110305.

 

5.      Flood modeling for a trans-boundary river under defense strategic scenarios: Physical model, Sponsored by Defense Research and Development Organization, Govt. of India, New Delhi, Amount Rs. 13,68,000, No. DRDO/CE/20090107 (as Co-PI).

 

6.      Groundwater pollution source identification using neural networks, Sponsored by Defense Research and Development Organization, Govt. of India, New Delhi, Amount Rs. 14,58,400, No. DRDO/CE/20060265.

 

7.      Investigation of local scour at bridge piers under pressure flow conditions, Sponsored by Ministry of Water Resources, Govt. of India, New Delhi, Amount Rs. 13,50,000, No. MOWR/CE/20050298.

 

8.      Flood studies in a river downstream of an existing dam, Sponsored by DRDO, New Delhi, Amount Rs. 14,84,000, No. DRDO /CE /20040309 (as Co-PI).

 

9.      Hydraulic model study of Ghaghra River near Kamariaghat using remote-sensing, computer and physical modeling, World Bank Project Sponsored by PCC Services, Lucknow, UP, Amount Rs. 8,43,560, No. PCC/CE /20020179.

 

10.  Model studies for location of bridge site on Rapti River in Shravasti district, UP, Sponsored by UP State Bridge Corporation, Shravasti District, UP, Amount Rs. 2,53,000, No. UPSBC/CE /20010099.

 

11.  Model studies for selection of a bridge site on Ghaghra River near Bhagwanpur, UP, World Bank Project Sponsored by The DHV Consultants BV, Lucknow, UP, Amount. Rs. 4,76,000, No. DHV/CE /20010075.

 

12.  Model studies for selection of a bridge site on Sharda River near Lakhimpur, UP, Sponsored by The DHV Consultants BV, Lucknow, UP, Amount. Rs. 4,76,000, No. DHV/CE /20010074.

 

13.  Analysis of the effects of small water harvesting structures on the regional water balance, Sponsored by Centre for Science and Environment, New Delhi, No. MIS001/CE /20000294.

 

14.  Development of neural network model for interference effects for bridge scour, FRS Grant Rs. 50,000, IIT Kanpur, No. IITK/CE/19970276.

 

In addition, involved in the following projects:

 

1.      Design of water supply grid, Tejab mill railway colony, Kanpur, Sponsored by Indian Railways, Amount Rs. 4,13,625, No. IR /CE /20100352.

 

2.      River training works for bridge over river Ghaghra near Chahlarighat, Sponsored by Public Works Department, UP, Amount Rs. 29,41,039, No. PWD/CE/20090272.

 

3.      Hydraulic model study of a bridge at the confluence of Yamuna and Ken rivers near Chillaghat, Sponsored by Public Works Department, UP, Amount Rs. 17,41,493, No. PWD/CE/20080306.

 

4.      Hydraulic model study of a bridge on Ganga River near Farrukhabad, Sponsored by UP State Bridge Corporation, UP, Amount Rs. 23,84,758, No. UPSBC/CE/20080182.

 

5.      Assessment of design of guide bunds at Allahabad by-pass bridge on river Ganga, Sponsored by National Highway Authority of India, UP, Amount Rs. 4,00,000, No. MIS001/CE/20060153.

 

6.      Hydraulic model study for a bridge to be built over River Ganga at Baxar, Sponsored by National Highway Authority of India, UP, Amount Rs. 11,58,760, No. NHAI/CE/20050172.

 

COURSES TAUGHT

 

Undergraduate Level:  Engineering hydrology, hydraulic engineering, open channel flow, fluid mechanics and rate processes, computational methods in engineering, and engineering graphics.

 

Postgraduate Level: Advanced hydrology, hydrologic analysis and design, stochastic hydrology, introduction to AI techniques, and groundwater hydrology and pollutant transport. 

 

Details of letters of appreciation by the Director, IIT Kanpur based on Excellent Teaching Evaluations by Students are provided below.

 

Excellent Teaching Evaluations by Students

 

S. No.

Course

No.

Course Title

Semester

1

CE462A

Hydraulic and Hydrologic Design

2013-14-II

2

CE615

Introduction to AI Techniques

2012-13-II

3

CE610

Advanced Hydrology

2012-13-I

4

CE614

Hydrologic Analysis & Design

2010-11-I

5

CE710

Introduction to AI Techniques

2008-09-II

6

CE614

Hydrologic Analysis & Design

2004-05-I

7

CE614

Hydrologic Analysis & Design

2003-04-I

8

ESO212

Fluid Mechanics and Rate Processes

2003-04-I

 

STUDENT GUIDANCE

 

PhD Theses

 

S. No.

Title of  Thesis

Name of Student

Month/

Year

Co-guides

(if any)

1

Knowledge extraction from trained ANN hydrologic models

Vikas Kumar Vidyarthi

2015

Expected

None

2

Urban flood modeling and management using LiDAR data

B. M. Arjun

2015

Expected

Prof. Bharat Lohani

Dept. of Civil Engg.

IIT Kanpur, India

3

Identification of groundwater pollution source and aquifer parameters using breakthrough data

Md. Ayaz

2014

Expected

Prof. R. Srivastava

Dept. of Civil Engg.

IIT Kanpur, India

4

Optimal methodologies for development of ANN hydrologic models

G. Ravikumar

2014

None

5

Modelling hydrologic processes using conceptual, neural system, and hybrid approaches

Seema Narain

2010

None

6

Identification of unknown groundwater pollution sources using ANN and GA

 

Raj Mohan Singh

 

2004

Prof. Bithin Datta

Dept. of Civil Engg.

IIT Kanpur, India

7

Improved methodologies for rainfall runoff modeling using conceptual and soft computing techniques, and exploration of physical significance in ANN models

Sanaga

Srinivasulu

2004

None

 

M. Tech. Theses

 

S. No.

Title of  Thesis

Name of Student

 

Month/

Year

Co-guides

(if any)

1

Structural health monitoring cable stayed bridge using neural networks

Ajay Vikram

2014

Prof. Sekhar Chakraborty

Dept. of Civil Engg.

IIT Kanpur, India

2

Rainfall-runoff modeling using SVM, ANN, and RRL

Vishal Mishra

2014

None

3

Rainfall-runoff modeling using ANFIS, ANN, and RRL

Md. Salman Siddiqui

2014

None

4

Comparison of conceptual and ANN models for rainfall-runoff modeling

Vikas Sharma

2014

None

5

Modeling rainfall-runoff process using conceptual, ANN, and hybrid approaches

Azad Sharma

2013

None

6

Investigation of extrapolation ability of ANN hydrologic models

Moiz Usmani

2013

None

7

Modeling stage-discharge relationships and rainfall-runoff process using ANN and data transformation techniques

Harendra Kumar Gupta

2012

None

8

Modeling rainfall-runoff process in Godavari river using conceptual, neural network, and data transformation techniques

Maulishri

2012

None

9

Statistical downscaling of global climatic variables to daily rainfall in a small spatial window in south-central India using neural networks and SDSM4.2

Rajarshi Das Bhowmik

2012

None

10

Optimal water management in arid coastal region: A simulation-optimization approach

Tirthankar Roy

2012

Drs. Franz Lennartz, Niels Schütze, & Jens Grundmann

Institute for Hydrology and Meteorology

Technische Universität Dresden, Germany

11

Knowledge extraction and ANN hydrologic model development

Jani Fathima Jamal

2011

None

12

Indian monsoon rainfall forecasting using global spatial & temporal tele-connection data

Debsunder Dutta

2011

None

13

Calibration of conceptual models for daily rainfall-runoff modeling

Divya Bhatt

2010

None

14

Development of hybrid-conceptual ANN hydrologic models and knowledge extraction from trained ANN hydrologic models using sensitivity analyses

Binesh P. Joy

2010

None

15

Hybrid modeling of rainfall-runoff process

Vikas Kumar Vidyarthi

2009

None

16

Inflow prediction and optimal operation of reservoir system during flood by the combined application of ANN and different optimization techniques

Ajay Sharma

2008

Prof. Manfred Ostrowski

University of Darmstadt

Germany

17

Knowledge Extraction from Trained ANN Hydrologic Models

Sumant Kumar

2008

None

18

Short-term streamflow prediction at larger lead times using neural networks

Nikhil Dharwadkar

2007

None

19

Modelling of hydrological processes using conceptual and data-driven approaches

Jitendra Kumar

2006

Prof. Manfred Ostrowski

University of Darmstadt

Germany

20

Evaluation of back-propagation training method for water quality neural network models

Arun Kumar

2006

None

21

Dam break flow modeling using neural networks

Rahul Raj

Jain

2006

Mr. Manoj Kumar Prasad

NHPC

22

Estimation of optimum land use parameters in hydrological models using remotely sensed data

Sanjeev

Kumar

Jha

2005

Prof. Manfred Ostrowski

University of Darmstadt

Germany

23

Design of Composite Channels using Genetic Algorithm

Satyendra

P. Singh

2005

None

24

Flood mapping and analysis using Remote Sensing GIS and Hydraulic Techniques

P. Satyanarayna

2005

Prof. Onkar Dikshit

Dept. of Civil Engg.

IIT Kanpur, India

25

Synthetic Rainfall Generation using Stochastic Downscaling and Atmospheric Circulation Patterns

Antima

Jain

2004

Prof. Franz Lennartz

University of Dresden

Germany

26

Synthetic rainfall generation using an inverse approach

Renu

Singhal

2004

None

27

Evaluation of techniques for modeling event-based rainfall-runoff process

Subhash

Chandra

2004

None

28

Prediction of Daily Streamflow Time Series

Manoj

Kumar

2003

None

29

Optimization of Unit Hydrograph using Genetic Algorithm

Shalini

Kedia

2003

Prof. Manfred  Ostrowski

University of Darmstadt

Germany

30

Regionalization of Parameters of a Conceptual Rainfall Runoff Model

Seema

Narain

2002

Prof. Andras Bardossy

Inst. of Hydrl. Engg., Univ. of Stuttgart, Germany

31

Investigation of Deterministic Dynamics in Hydrologic Variables:  A Chaotic Perspective

Satish

Kumar R.

2002

None

32

Calibration of Infiltration Parameters using Inverse and ANN Techniques

Amit

Kumar

2002

None

33

Modeling of Monthly Runoff Time Series using ANNs

Madhav

Kumar A.

2000

None

34

Short-Term Rainfall Forecasting using Thunderstorm Cell Model

Ramesh

Avvari

2000

None

35

Modeling of an Event based Rainfall Runoff Process using ANNs

S.K.V. Prasad

Indurthy

1999

None

36

Short-Term Rainfall Forecasting using ANNs

Vijay

Misra

1999

None

 

B. Tech. Projects

 

S. No.

Title of  Thesis

Name of Student

Month/

Year

Co-guides

(if any)

1

Monsoon rainfall prediction using artificial neural networks

Vaibhav Kumar, Praveen Kumar, and Rohit Maheshwari

2010

None

2

Identification of Source of Pollution in Ground Water Using Artificial Neural Network

Ritesh Kumar, Shobhit C. Misra, & Pritam Singh

2008

Dr. R. Srivastava

Dept. of Civil Engg.

IIT Kanpur, India

3

Prediction of stream discharge using artificial neural networks

Yash Mishra

2008

None

4

Modeling concrete characteristics using neural networks

Kunal Gaurav & Vipin Kumar

2006

Dr. Sudhir Misra

Dept. of Civil Engg.

IIT Kanpur, India

5

Groundwater pollution source identification using neural networks

Dinesh Kumar

2006

Dr. R. Srivastava

Dept. of Civil Engg.

IIT Kanpur, India

6

Evaluation of Human Interventions on the Floodplain of a River

Amresh Kumar and Gaurav Ojha

2005

None

7

Floodplain Mapping: Hydraulic v/s Remote Sensing Approach

Areenjay Sharma & Sonal Minhas

2003

Dr. Onkar Dikshit

Dept. of Civil Engg.

IIT Kanpur, India

8

Evaluation of Impacts of Construction of a Road Embankment on Gomti River, Lucknow

Ashish Gupta & Vinay Tiwari

2002

None

9

Application of ANN Technique to Rainfall-Runoff Modeling

Swati Jha

2002

None

10

Urban Watershed Modeling

Swapnil Bansal &

Nihar Ranjan

2001

None

11

Rainfall Runoff Modeling using ANN and Time Series Techniques

Kumar Sarvesh

2001

None

12

Prediction of Local Scour Depth using ANNs for Bridge Pier Design

Amit Khemchandani & Mohd. Zeeshan Alam

1999

None

13

Forecasting Water Demand using Neural Networks

Ashish Kumar Varshney & Umesh C. Joshi

1999

None

 

 

_____________________________________________________________________________________________

 

Top   Education   Experience   Publications   Projects   Co-curricular Activities   Other Activities   Links

_____________________________________________________________________________________________

 

 

CO-CURRICULAR ACTIVITIES

 

Invited Presentations

 

1.      Invited Talk entitled Modeling of complex hydrological systems using biologically inspired modeling techniques in the National Conference on Mathematical modeling and computer simulation with applications, 31 December - 02 January 2014, IIT Kanpur, Kanpur, India.

 

2.      Invited Talk entitled Modeling of water resources using soft computing approaches in the QIP Short-Term Course on Modeling approaches for free surface flow and water quality management, 18-23 November 2013, IIT Madras, Chennai, India.

 

3.      Invited Talk entitled Advancements in hydrologic modeling using artificial neural networks in the Workshop on Development and Application of Advanced Soft Computing Techniques in Multidimensional Geospatial Data Analysis (WAST2009), 15-16 October 2009, IIT Kanpur, Kanpur, India.

 

4.      Invited Talk entitled Rainfall-runoff modeling using neural networks: State-of-the-art and future research needs in The Brainstorming Workshop on Application of Advanced Soft Computing Techniques in Geospatial Data Analysis, 22-23 September 2008, IIT Bombay, Mumbai, India.

 

5.      Invited Guest Lecture entitled Integrated Hydrologic Modeling and Knowledge Extraction from Trained ANN Hydrologic Models in Prof. Holger Maier’s class: C&ENVENG 4087 (Final Year) and C&ENVENG 7029 (Masters) Environmental Modelling, Management and Design, 08 May 2008, School of Civil Environmental, and Mining Engineering, University of Adelaide, Adelaide, Australia.

 

6.      School Seminar entitled Development of Integrated Hydrologic Models, 19 May 2008, School of Civil Environmental, and Mining Engineering, University of Adelaide, Adelaide, Australia.

 

7.      ICE WaRM Public Seminar entitled Water Problems and Solutions: An Indian Perspective, 18 June 2008, Water SA, 77 Grenfell Street, Adelaide, Australia.

 

8.      School Seminar entitled Integrated Hydrologic Modelling and Hidden Neuron Specialisation in Neural Network Hydrologic Models, 20 June 2008, School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia.

 

9.      ICE WaRM Public Seminar entitled Water Problems and Solutions: An Indian Perspective, 20 June 2008, Radisson Hotel, Liverpool Street, Sydney, Australia.

 

10.  Centre for Water Management and Reuse Seminar entitled Modelling of Water Resources Variables using Soft Computing Approaches, 03 July 2008, School of Natural and Built Environments, University of South Australia, Adelaide, Australia.

 

11.  Hydrology Discussion Forum Seminar entitled The Development of Hybrid Hydrologic Models using Process Based and Artificial Neural Network Methods, 08 July 2008, School of Chemistry, Physics and Earth Sciences, Flinders University, Adelaide, Australia.

 

12.  Invited talk entitled Integrated approaches for runoff forecasting, REACH2008 Symposium, 15-18 March 2008, Khajuraho, M.P, Organized by IIT Kanpur, India.

 

  1. Water resources:  Challenges and possible solutions, 5 May 2007, Water Resources Day Celebrations of the Institution of Engineers (India) Ltd., HBTI, Kanpur.

 

  1. Research activities at IIT Kanpur: Hydraulics and water resources engineering, 11-15 February 2007, Workshop in water resources engineering between the Australian group of eight and associate universities (Go8A) and IISc and all IITs, School of Civil & Env. Engg., University of Adelaide, Adelaide, Australia.

 

  1. An overview of the research activities at IIT Kanpur.  This presentation was made during March-June 2006 at various places:  School of Geography, University of Leeds, Leeds, UK; Imperial College of London, London, UK; Oxford University, Oxfordshire, UK; Exeter University, Exeter, UK; Reading University, Reading, UK; Napier University, Edinburgh, Scotland, UK; and Technical University of Darmstadt, Darmstadt, Germany.

 

  1. Hydrological aspects of CTCZ and rainfall runoff modeling in the Indo-Gangetic plains, Brainstorming seminar on continental tropical convergence zone, Indian Climate Research Programme of DST, 28-30 June 2005, Birla Institute of Technology, Mesra, Ranchi, India.

 

  1. The Tale of Rainwater Harvesting from Alwar, Rajasthan, Seminar on “Water Conservation and Rainwater Harvesting”, UP Chamber of Commerce, June 2004, Kanpur, UP, India.

 

  1. The role of ANNs in air quality modeling, AICTE sponsored short-term course on “Air pollution and control” Indian Institute of Technology, Kanpur, UP, India.

 

  1. Application of AI Techniques in Water Resources Management on the Water Resources Day 1999, Institution of Engineers (India), HBTI, Kanpur, UP, India.

 

  1. Expert system application to water resources engineering, Workshop on Fuzzy Logic and Artificial Neural Networks, Research Development and Standards Organization (RDSO), Lucknow, UP, India.

 

  1. Neural network application to water resources engineering, Workshop on Fuzzy Logic and Artificial Neural Networks, Research Development and Standards Organization (RDSO), Lucknow, UP, India.

 

Invited Participation

 

1.      Invited as expert hydrologist to the three-day brainstorming seminar on continental tropical convergence zone (CTCZ), Indian Climate Research Programme (ICPR) of DST, 28-30 June 2005, Birla Institute of Technology, Mesra, Ranchi, India.

 

2.      Invited to participate in the one-day brainstorming session of the UNESCO’s International Hydrological Programme - Phase VII, May 20, 2005, Indian Institute of Science, Bangalore, India.

 

3.      Invited to participate in the one day workshop on bridge scour, river training, and protection works (WOBSRIT-PROW-03), Organized by Indian Institute of Technology-Roorkee, October 11, 2003, New Delhi, India.

 

4.      Invited to participate in the training course on Flood Disaster Management, Organized by IIPA, National Centre for Disaster Management, July 02-06, 2001, New, Delhi, India.

 

Presentations

 

  1. Comparison of conceptual and neural network models for daily rainfall-runoff modeling, Proc. of Intl. Conf. on Chemical, Ecology, and Env. Sciences (ICCEES2011), 17-18 December 2011, Pattaya, Thailand.

 

  1. Architecture determination of ANN using binary coded GA, Proc. of Intl. Conf. on Chemical, Ecology, and Env. Sciences (ICCEES2011), 17-18 December 2011, Pattaya, Thailand.

 

  1. Modelling of Indian summer monsoon rainfall using global climatic teleconnection data, Proc. of VI EWRA Intl. Symposium – Water Engineering and Management in the Changing Environment, 29 June – 02 July, 2011, Catania, Italy.

 

4.      Comparison of various optimization methods for training of ANN river flow model, Proc. of VI EWRA Intl. Symposium – Water Engineering and Management in the Changing Environment, 29 June – 02 July, 2011, Catania, Italy.

 

5.      Monthly monsoon rainfall forecasting using regression and artificial neural network models, Proc. of VI EWRA Intl. Symposium – Water Engineering and Management in the Changing Environment, 29 June – 02 July, 2011, Catania, Italy.

 

6.      Knowledge extraction from trained neural network hydrologic models, in National Conference HYDRO2008, 15-16 December 2008, MNIT Jaipur, Rajasthan, India.

 

7.      Optimal design of composite channels using classical methods and genetic algorithm in Special Session HS38 Hydroinformatics: Computational intelligence and technological developments in water science applications, EGU’s General Assembly 2006, 2-7 April 2006, Vienna, Austria.

 

8.      Estimating groundwater pollution source location from observed breakthrough curves using neural networks in Session HEE2005 – AI applications to hydraulics and environmental engineering at the 2nd Indian International Conference on Artificial Intelligence (IICAI2005), December 20-22, 2005, Pune, INDIA.

 

9.      Estimation of concrete slump based on mix constituents using artificial neural networks in Session NCIEM05 – Natural computing in infrastructure engineering and management at the 2nd Indian International Conference on Artificial Intelligence (IICAI2005), December 20-22, 2005, Pune, INDIA.

 

10.  Locating groundwater pollution source using breakthrough curve characteristics and artificial neural networks in Session H35 – Soft computing tools for hydrologic modeling at the AGU Fall Meeting 2005, December 5-9, 2005, San Francisco, California, USA.

 

11.  Evaluation of the sensitivity of learning rate on the training of neural network hydrologic models in Session H35 – Soft computing tools for hydrologic modeling at the AGU Fall Meeting 2005, December 5-9, 2005, San Francisco, California, USA.

 

12.  Evaluation of ANN Technique for Rainfall-Runoff Modeling in a Large Watershed at the Hydrological Perspectives for Sustainable Development (HYPESD2005), February 23-25, 2005, IIT Roorkee, Roorkee, India.

 

13.  Adverse Impacts of Large-Scale Rainwater Harvesting, at the National Conference on Resources Conserving Technologies for Social Upliftment (RCTSU2004), December 07-09, 2004, New Delhi, India.

 

14.  Calibration of Infiltration Parameters using Artificial Neural Networks at the 1st Indian International Conference on Artificial Intelligence: IICAI2003, December 18-20, 2003, Hyderabad, India.

 

15.  Systems Theoretic Approach to Modeling Rainfall-Runoff Process with Conceptual Component at the 2nd International Conference on River Basin Management: River Basin Management 2000, 28-30 April 2003, Las Palmas, Gran Canaria, Spain.

 

16.  Optimal Unit Hydrograph using Genetic Algorithm at the 2nd International Conference on River Basin Management: River Basin Management 2003, 28-30 April 2003, Las Palmas, Gran Canaria, Spain.

 

  1. Calibration of Infiltration Parameters using Genetic Algorithm at the Conference on Hydraulics, Water Resources & Ocean Engineering: HYDRO 2002, December 16-17, 2002, IIT Bombay, Bombay, India.

 

  1. Impact of Combined Sewer Overflows in Northern Kentucky at the Ohio River Valley Sanitation Commission (ORSANCO)’s Symposium on CSOs, July 1994, Louisville, Kentucky, USA.

 

  1. Short-Term Municipal Water Use Forecasting using Artificial Neural Networks and Expert Systems at The Kentucky Water Resources Symposium, December 1993, University of Kentucky, Lexington, Kentucky, USA.

 

  1. Evaluation of Short-Term Forecast Modeling for Municipal Water Use at AWWA’s 3rd Annual Specialty Conference on Computers in the Water Industry, March 1992, Nashville, Tennessee, USA.

 

  1. Development of a Decision Support System for Drought Characterization and Management:  Application to Kentucky River Basin at The Kentucky Water Resources Symposium, March 1991, University of Kentucky, Lexington, Kentucky, USA.

 

  1. Conjunctive use of Surface and Groundwater:  Integrated Modeling Approach, October 1988, IIT Bombay, India.

 

  1. Irrigation Water Management May 1987, Malviya Regional Engineering College, Jaipur, India.

 

 

_____________________________________________________________________________________________

 

Top   Education   Experience   Publications   Projects   Co-curricular Activities   Other Activities   Links

_____________________________________________________________________________________________

 

 

International/National Committees/Conferences/Workshop/Short-Term Course Organization

 

1.      Organized a Research Scholar Day to showcase the research work of PhD research scholars, 26 March 2014, Department of Civil Engineering, IIT Kanpur, India.

 

2.      Organized a 2-day workshop entitled Development and application of advanced soft computing techniques in multidimensional geospatial data analysis, Sponsored by Department of Science and Technology, Government of India, 15-16 October 2009, IIT Kanpur.

 

3.      Member, Steering Committee, National Guidelines on Urban Flooding, National Disaster Management Authority (NDMA), Government of India.

 

4.      Member, Technical Committee, Environmental Systems (2004-2007), International Association of Science and Technology for Development, IASTED.

 

5.      Member, Program Committee, Third Indian International Conference on Artificial Intelligence: IICAI2007, December 17-19, 2007, Pune, India.

 

6.      Session Organizer, Special Session on AI Applications to Hydrologic, Hydraulic and Environmental Engineering (HHE2007), Third Indian International Conference on Artificial Intelligence: IICAI2007, December 17-19, 2007, Pune, India.

 

7.      Member, Program Committee, Second Indian International Conference on Artificial Intelligence: IICAI2005, December 20-22, 2005, Pune, India.

 

8.      Session Organizer, Special Session (H35O)-Soft computing tools for hydrologic modeling at the AGU Fall Meeting 2005, December 5-9, 2005, San Francisco, California, USA.

 

9.      Session Organizer, Special Session (H35P)-Soft computing tools for hydrologic modeling at the AGU Fall Meeting 2005, December 5-9, 2005, San Francisco, California, USA.

 

10.  Session Organizer, Special Session on AI Applications to Hydraulic and Environmental Engineering (HEE2005), Second Indian International Conference on Artificial Intelligence: IICAI2005, December 20-22, 2005, Pune, India.

 

11.  Session Organizer, Special Session on AI Applications to Water Resources Engineering (WRE2005), Second Indian International Conference on Artificial Intelligence: IICAI2005, December 20-22, 2005, Pune, India.

 

12.  Session Chair, Session on Advanced Computing in Hydraulics/ Environmental Hydraulics, Conference On Hydraulics, Water Resources & Ocean Engg.: HYDRO2002, December 16-17, 2002, IIT Bombay, Bombay, India.

 

13.  Conducted a Short-Term Course Entitled “Expert System and Artificial Neural Network Applications in Civil Engineering”, May 18-22, 1998, IIT Kanpur, Sponsored under Quality Improvement Programme by AICTE.

 

14.  Conducted “Summer Camp 2002”, for Civil Engineering Undergraduate Students from across the Nation, June 03 - July 02, 2002 at IIT Kanpur, Sponsored by Various Civil Engineering Industries.

 

Peer Reviewer for the following journals:

 

 

Peer Reviewer for the following international conferences:

 

·         1st Indian International Conference on Artificial Intelligence (IICAI2003)

·         3rd International Symposium on New Technologies for Urban Safety of Mega Cities in Asia (SEIKEN SYMPOSIUM 37)

·         IASTED’s Environmental Modeling and Simulation (EMS2004)

·         IASTED’s Applied Simulation and Modelling (ASM2005)

·         IASTED’s Modelling, Simulation, and Optimization (MSO2005)

·         2nd Indian International Conference on Artificial Intelligence (IICAI2005)

·         3rd Indian International Conference on Artificial Intelligence (IICAI2007)

 

 

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Awards and Honours

 

1.      Awarded Endeavour Executive Award 2009 by Ministry of Education, Australia

2.      Awarded International Centre of Excellence in Water Resources Management (ICE WaRM) Fellowship 2008 to visit The University of Adelaide, Adelaide, Australia

3.      Awarded Royal Society Fellowship 2005-06 to visit The University of Leeds, Leeds, UK

4.      Awarded Best Discussion Paper Award 2005 by ASCE

5.      Fellow of the Indian Water Resources Society

6.      Fellow of the Indian Society for Hydraulics

7.      Life member of the Indian Society for Hydraulics (Membership no. LM-503)

8.      Life member of the Indian Water Resources Society (Membership no. LM-2004-5594)

9.      Life member of the Indian Association of Hydrologists (Membership no. LM-1386)

 

Visiting Appointments

 

May 2009 – Jul 2009

& May 2008 – Jul 2008

Visiting Professor

School of Civil, Environmental, and Mining Engineering

University of Adelaide, Australia

Feb 2006 – Jul 2006

Visiting Research Professor, School of Geography

University of Leeds, UK

May 2000 – July 2000

Visiting Research Fellow

Kentucky Water Resources Research Institute

University of Kentucky, Lexington, Kentucky, USA

 

 

OTHER ACTIVITIES

 

Administrative

 

1.      DPGC Convener-CE (2007-08 and 2008-09)

2.      Member, SSPC’s All Round Performance Committee for three years

3.      Member, Assessment Committee for the assessment of the hostel employees

4.      Member, Purchase Committee for SFS and Hall related activities

5.      Coordinator, Summer Camp 2002

6.      DUGC Member for four years

7.      Department Member, Student Placement Committee for two years

8.      SOCE Faculty Counselor (Finance) for two years

9.      Faculty Counselor for two years

10.  Faculty Advisor for first year CE students

11.  IIT Kanpur Representative in JEE and GATE many times

12.  SFS Faculty Counselor for two years

13.  Organized Industrial Tour of the Department of Civil Engineering, IIT Kanpur, for B. Tech Third Year Students to Various Civil Engineering Industries in Bombay and Goa, December 1998

 

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