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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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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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Dec 2010 – Present: Professor
Department of Civil Engineering
Dec 2005 – Nov 2010: Associate Professor
Department of Civil Engineering
May 2009 – Jul 2009: Visiting Professor
& May 2008 – Jul 2008 School of Civil, Environmental, and Mining Engineering
University of Adelaide, Australia
Feb 2006 – Jul 2006: Visiting Research Professor
Dec 1997 – Nov 2005: Assistant Professor
Department of Civil Engineering
May 2000 – July 2000: Visiting Research Fellow
Kentucky Water Resources Research Institute
Lexington, Kentucky, USA
Nov 1996 – Nov 1997: Project Engineer
The Oyekan Group USA, Inc.
Dallas, TX, USA
Dec 1994 – May 1996: Assistant Engineer-II
Alexandria, VA, USA
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Books/Book Chapters
Published/In Press
1. 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.
2. 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.
3. Srinivasulu, S. and Jain, A. (2009), River flow prediction using an integrated approach, J. Hydrol. Engg., ASCE, 14(1), 75-83.
4. 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.
5. 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.
6. 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.
7. Jain, A. (2008), Possible impacts of rainwater harvesting, J. Ind. Wat. Resour. Soc, 28(4), 1-8.
8. 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.
9. Jain, A. and Kumar, A.M. (2007), Hybrid neural network models for hydrologic time series forecasting, J. Applied Soft. Computing, 7(2), 585-592.
10. 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.
11. Kumar J., Jain, A., and Srivastava, R. (2006), Neural network based solutions for locating groundwater pollution sources, Hydrology J., 29(1-2), 55-66.
12. Jain, A., Jha, S.K., and Misra, S. (2006), Modelling compressive strength of concrete using artificial neural networks, Ind. Concrete. J., October, 17-22.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. Sudheer, K.P. and Jain, A. (2004), Explaining the internal behavior of artificial neural network river flow models, Hydrol. Processes, 118(4), 833-844.
27. 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.
28. 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.
29. 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.
30. Jain, A. and Ormsbee, L.E. (2001), A decision support system for drought characterization and management, Civil Engg. and Env. Syst., 18, 105-140.
31. 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.
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. Jain, A. (2008), “Integrated approaches for runoff forecasting”, REACH2008 Symposium, 15-18 March 2008, Khajuraho, M.P, Organized by IIT Kanpur, India.
13. 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.
14. Narain, S., and Jain, A. (2007), “Artificial neuron models for hydrological modeling”, Proc. Intl. Joint Conf. on Neural Networks (IJCNN2007), 12-17 August, 2007, Orlando, USA.
15. 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.
16. 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.
17. 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.
18. 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, and observations, EGU’s General Assembly 2006, 2-7 April 2006, Vienna, Austria.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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 and Environmental Engineering (HEE2005), Proc. IICAI2005: Second Indian Intl. Conf. on Artificial Intelligence, December 20-22, 2005, Pune, India.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. 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.
31. Jha, S.K. and Jain, A. (2005), Identification of trends in training of ANN rainfall-runoff models for improved training performance, Special session on data-driven and computational intelligence methods in flood forecasting, Proc. EGU’s General Assembly 2005, 24-29 April 2005, Vienna, Austria.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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.
42. 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. (ACE2002), January 2002, IIT Kharagpur, India.
43. 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 (ICPR2000), September 3-7, 2000, Barcelona, Spain.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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.
50. 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.
51. 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.
Technical Reports
1. Hydraulic Model Studies for River Training Works on the Ghaghra River near Kamariagha (2003), Technical Report Submitted to DHV Consultants, BV, Lucknow, UP, India.
2. 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.
3. Hydraulic Model Studies of the Bridge Proposed on River Ganga near Allahabad (2003), Technical Report Submitted to Tandon Consultants Pvt. Ltd., New Delhi, India.
4. GAIL Pipeline Protection from the Meandering of River Yamuna (2003), Technical Report Submitted to the Gas Authority of India Limited, Agra, UP, India.
5. 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.
6. 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.
7. 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.
8. River Training Works for the Gomti River near Gandhi Setu in Lucknow, (2001) Technical Report Submitted to Lucknow Development Authority, Lucknow, UP, India.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
Papers in Technical Magazines
1. 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.
2. 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.
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On-Going/Submitted
Completed
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1. 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.
2. 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.
3. School Seminar entitled Development of Integrated Hydrologic Models, 19 May 2008, School of Civil Environmental, and Mining Engineering, University of Adelaide, Adelaide, Australia.
4. ICE WaRM Public Seminar entitled Water Problems and Solutions: An Indian Perspective, 18 June 2008, Water SA, 77 Grenfell Street, Adelaide, Australia.
5. 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.
6. ICE WaRM Public Seminar entitled Water Problems and Solutions: An Indian Perspective, 20 June 2008, Radisson Hotel, Liverpool Street, Sydney, Australia.
7. 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.
8. 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.
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. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. Calibration of Infiltration Parameters using Artificial Neural Networks at the 1st Indian International Conference on Artificial Intelligence: IICAI2003, December 18-20, 2003, Hyderabad, India.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. Conjunctive use of Surface and Groundwater: Integrated Modeling Approach, October 1988, IIT Bombay, India.
17. Irrigation Water Management May 1987, Malviya Regional Engineering College, Jaipur, India.
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International/National Committees/Conference Organization
1. Member, Steering Committee, National Guidelines on Urban Flooding, National Disaster Management Authority (NDMA), Government of India.
2. Member, Technical Committee, Environmental Systems (2004-2007), International Association of Science and Technology for Development, IASTED.
3. Member, Program Committee, Third Indian International Conference on Artificial Intelligence: IICAI2007, December 17-19, 2007, Pune, India.
4. Session Organizer, Special Session on AI Applications to Hydrologic and Hydraulic Engineering (HHE07), Third Indian International Conference on Artificial Intelligence: IICAI2007, December 17-19, 2007, Pune, India.
5. Session Organizer, Special Session on AI Applications to Environmental Engineering (EE07), Third Indian International Conference on Artificial Intelligence: IICAI2007, December 17-19, 2007, Pune, India.
6. Member, Program Committee, Second Indian International Conference on Artificial Intelligence: IICAI2005, December 20-22, 2005, Pune, India.
7. Session Organizer, Special Session on Soft Computing Tools for Hydrologic Modeling (H35O), American Geophysical Union Fall Meeting 2005: AGU Fall meeting 2005, December 5-9, 2005, San Francisco, California, USA.
8. Session Organizer, Special Session on Soft Computing Tools for Hydrologic Modeling (H35P), American Geophysical Union Fall Meeting 2005: AGU Fall meeting 2005, December 5-9, 2005, San Francisco, California, USA.
9. 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.
10. 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.
11. 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.
1. 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.
2. 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.
3. Organized a Personality Development Workshop for the PG Students of the Department of Civil Engineering, March 29-30, 2003, IIT Kanpur.
4. Attended a “One Day Workshop on Bridge Scour, River Training, and Protection Works (WOBSRIT-PROW-03)” Organized by IIT Roorkee, October 11, 2003, New Delhi, India.
5. Attended Training Course on “Flood Disaster Management”, Organized by IIPA, National Centre for Disaster Management, July 02-06, 2001, New, Delhi, India.
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)
Students Guided
Doctor of Philosophy
|
Title of Thesis |
Name of Student
|
Month/ Year |
Co-guides (if any) |
|
1. Optimal methodologies for development of ANN hydrologic models
2. Modeling hydrological processes using conceptual, neural system, and hybrid approaches
3. Identification of unknown groundwater pollution sources using ANN and GA
4. Improved methodologies for rainfall runoff modeling using conceptual and soft computing techniques, and exploration of physical significance in ANN models |
G. Ravikumar
Seema Narain
Raj Mohan Singh
Sanaga Srinivasulu |
2012 (Expected)
2010
August 2004
January 2004
|
None
None
Prof. Bithin Datta Dept. of Civil Engg. IIT Kanpur, India
None |
Master of Technology
|
Title of Thesis |
Name of Student
|
Month/ Year |
Co-guides (if any) |
|
1. Knowledge Extraction and ANN Hydrologic Model Development
2. Indian Monsoon Rainfall Forecasting Using Global Spatial & Temporal Tele-connection Data
3. Calibration of conceptual models for daily rainfall-runoff modeling
4. Development of hybrid-conceptual ANN hydrologic models and knowledge extraction from trained ANN hydrologic models using sensitivity analyses
5. Hybrid modeling of rainfall-runoff process
6. Inflow prediction and optimal operation of reservoir system during flood by the combined application of ANN and different optimization techniques
7. Knowledge Extraction from Trained ANN Hydrologic Models
8. Short-term streamflow prediction at larger lead times using neural networks
9. Modelling of hydrological processes using conceptual and data-driven approaches
10. Evaluation of back-propagation training method for water quality neural network models
11. Dam break flow modeling using neural networks
12. Estimation of optimum land use parameters in hydrological models using remotely sensed data
13. Design of Composite Channels using Genetic Algorithm
14. Flood mapping and analysis using Remote Sensing GIS and Hydraulic Techniques
15. Synthetic Rainfall Generation using Stochastic Downscaling and Atmospheric Circulation Patterns
16. Synthetic rainfall generation using an inverse approach
17. Evaluation of techniques for modeling event-based rainfall-runoff process
18. Prediction of Daily Streamflow Time Series
19. Optimization of Unit Hydrograph using Genetic Algorithm
20. Regionalization of Parameters of a Conceptual Rainfall Runoff Model
21. Investigation of Deterministic Dynamics in Hydrologic Variables: A Chaotic Perspective
22. Calibration of Infiltration Parameters using Inverse and ANN Techniques
23. Modeling of Monthly Runoff Time Series using ANNs
24. Short-Term Rainfall Forecasting using Thunderstorm Cell Model
25. Modeling of an Event based Rainfall Runoff Process using ANNs
26. Short-Term Rainfall Forecasting using ANNs |
Jani Fathima Jamal
Debsunder Dutta
Divya Bhatt
Binesh P. Joy
Vikas Kumar Vidyarthi
Ajay Sharma
Sumant Kumar
Nikhil Dharwadkar
Jitendra Kumar
Arun Kumar
Rahul Raj Jain
Sanjeev Kumar Jha
Satyendra P. Singh
P. Satyanarayna
Antima Jain
Renu Singhal
Subhash Chandra
Manoj Kumar
Shalini Kedia
Seema Narain
Satish Kumar R.
Amit Kumar
Madhav Kumar A.
Ramesh Avvari
S.K.V. Prasad Indurthy
Vijay Misra |
2011
2011
2010
2010
2009
2008
2008
2007
2006
2006
2006
2005
2005
2005
2004
2004
2004
2003
2003
2002
2002
2002
2000
2000
1999
1999 |
None
None
None
None
None
Prof. Manfred Ostrowski University of Darmstadt Germany
None
None
Prof. Manfred Ostrowski University of Darmstadt Germany
None
Mr. Manoj Kumar Prasad NHPC
Prof. Manfred Ostrowski University of Darmstadt Germany
None
Dr. Onkar Dikshit Dept. of Civil Engg. IIT Kanpur, India
Prof. Franz Lennartz University of Dresden Germany
None
None
None
Prof. Mansfred Ostrowski Water Resour. Dept., Tech. Univ. Darmstadt, Germany
Prof. Andras Bardossy Inst. Of Hydrl. Engg., Univ. of Stuttgart, Germany
None
None
None
None
None
None |
B. Tech. Projects
|
Title of Project |
Student Name |
Year of Completion |
Co-guides (if any) |
|
1. Monsoon rainfall prediction using artificial neural networks
2. Identification of Source of Pollution in Ground Water Using Artificial Neural Network
3. Prediction of stream discharge using artificial neural networks
4. Modeling concrete characteristics using neural networks
5. Groundwater pollution source identification using neural networks
6. Evaluation of Human Interventions on the Floodplain of a River
7. Floodplain Mapping: Hydraulic v/s Remote Sensing Approach
8. Evaluation of Impacts of Construction of a Road Embankment on Gomti River, Lucknow
9. Application of ANN Technique to Rainfall-Runoff Modeling
10. Urban Watershed Modeling
11. Rainfall Runoff Modeling using ANN and Time Series Techniques
12. Prediction of Local Scour Depth using ANNs for Bridge Pier Design
13. Forecasting Water Demand using Neural Networks |
Vaibhav Kumar, Praveen Kumar, and Rohit Maheshwari
Ritesh Kumar, Shobhit C. Misra, & Pritam Singh
Yash Mishra
Kunal Gaurav & Vipin Kumar
Dinesh Kumar
Amresh Kumar and Gaurav Ojha
Areenjay Sharma & Sonal Minhas
Ashish Gupta & Vinay Tiwari
Swati Jha
Swapnil Bansal & Nihar Ranjan
Kumar Sarvesh
Amit Khemchandani & Mohd. Zeeshan Alam
Ashish Kumar Varshney & Umesh Chandra Joshi |
2010
2008
2008
2006
2006
2005
2003
2002
2002
2001
2001
1999
1999 |
None
Dr. R. Srivastava Dept. of Civil Engg. IIT Kanpur, India
None
Dr. Sudhir Misra Dept. of Civil Engg. IIT Kanpur, India
Dr. R. Srivastava Dept. of Civil Engg. IIT Kanpur, India
None
Dr. Onkar Dikshit Dept. of Civil Engg. IIT Kanpur, India
None
None
None
None
None
None |
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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. Revived the Industrial Tour of the Department of Civil Engineering, IIT Kanpur, and took B. Tech Third Year Students to Various Civil Engineering Industries in Bombay and Goa, December 1998
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