ASHU JAIN

Contact Address: Department of Civil Engineering Indian Institute of Technology Kanpur Kanpur – 208 016, INDIA 91+512+259 7411(O)/7395 (Fax) E-mail: ashujain@iitk.ac.in

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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 2005 – Present: Associate Professor

Department of Civil Engineering

IIT Kanpur, India

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

School of Geography

University of Leeds, UK

Dec 1997 – Nov 2005: Assistant Professor

Department of Civil Engineering

IIT Kanpur, India

May 2000 – July 2000: Visiting Research Fellow

Kentucky Water Resources Research Institute

University of Kentucky

Lexington, Kentucky, USA

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. 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.

2. 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.

3. 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.

4. 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. 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, (Position Paper, In Press).

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. (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.

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

6. 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.

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

8. 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.

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

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

11. 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.

12. 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.

13. 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.

14. 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.

15. 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.

16. 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.

17. 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.

18. 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.

19. 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.

20. 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.

21. 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.

22. 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.

23. 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.

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

25. 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.

26. 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.

27. 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.

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

29. 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.

Submitted

30. Kumar J., Jain, A., and Srivastava, R. (2008), Assessment of the impact of input uncertainty in groundwater pollution source identification using neural networks, Env. Mod. Software.

31. Jain, A. and Kumar, A.M. (2008), Integrated modeling approach for river flow forecasting using time series and artificial neural network techniques, J. Hydrol..

32. Singh, S.P. and Jain, A. (2006), Optimal design of composite trapezoidal channel using classical method and genetic algorithm, J. Ind. Soc. Hydraul.

Papers in Conference Proceedings

1. Bhatt D. and Jain, A. (2010), Implementation of conceptual and soft computing approaches in rainfall-runoff modeling, Proc. of the Fifth Intl. Conf. on Water Resources and Env. Research, 5-7 July 2010, Quebec City, Canada (Submitted).

2. Narain S. and Jain, A. (2010), Development of generalized neuron models for rainfall-runoff modeling, Proc. of the Fifth Intl. Conf. on Water Resources and Env. Research, 5-7 July 2010, Quebec City, Canada (Submitted).

3. 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 (Accepted).

4. 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 (Accepted).

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

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

11. 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.

12. 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.

13. 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.

14. 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.

15. 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 7^th International Conference on Hydroinformatics 2006, September 4-8, 2006, Acropolis, Nice, France.

16. 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.

17. 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.

18. 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.

19. 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.

20. 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.

21. 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.

22. 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.

23. 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.

24. 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.

25. 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.

26. 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.

27. 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.

28. 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.

29. 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.

30. 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.

31. 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.

32. 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.

33. 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.

34. 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.

35. 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.

36. 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.

37. 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.

38. 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.

39. 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.

40. 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.

41. Jain, A., Joshi, U.C., and Varshney, A. (2000), Short-term water demand forecasting using artificial neural networks: IIT Kanpur experience, Proc. 15^th Intl. Conference on Pattern Recognition (ICPR2000), September 3-7, 2000, Barcelona, Spain.

42. 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.

43. 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.

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

45. 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.

46. 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.

47. 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 20^th Anniversary Conference, May, Seattle, Washington, USA.

48. 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.

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

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CONSULTANCY/RESEARCH PROJECTS

On-Going/Submitted

1. “Investigation of local scour at bridge piers under pressure flow conditions”, The Indian National Society on Hydraulic Research (INCH), Central Water Commission, (CWC), New Delhi, Amount Rs. 13,50,000, (On-Going as PI).

2. “Flood studies in a river downstream of an existing dam”, Defense Research and Development Organization, New Delhi, Amount Rs. 11,84,000, (on-going as Co-PI).

3. “Groundwater pollution source identification using neural networks”, Defense Research and Development Organization (DRDO), New Delhi in July 2005, Amount Rs. 14,58,400, (On-Going as PI).

4. “Monsoon rainfall forecasting using neural networks”, Department of Science and Technology, New Delhi, Amount Rs. 14,52,000, (On-Going as PI).

Completed

1. “Hydraulic Model Studies for River Training Works on the Ghaghra River near Kamariaghat, UP”, World Bank Project Sponsored by PCC Services, Lucknow, UP, Amount Rs. 8,43,560.

2. “Physical Modeling of Ghaghra River for the Selection of a Bridge Site near Behraich”, World Bank Project Sponsored by The DHV Consultants BV, Lucknow, UP, Amount. Rs. 4,76,000.

3. “Model Studies for the Selection of a Bridge on Rapti River in District Shravasti, UP”, Sponsored by The Chief Engineer, UPPWD Shravasti District, Shravasti, UP, Amount Rs. 2,53,000.

4. “Physical Modeling of Sharda River for the Selection of a Bridge Site near Lakhimpur”, Sponsored by The DHV Consultants BV, Lucknow, UP, Amount. Rs. 4,76,000.

5. “Analysis of the Effects of Rain Water Harvesting Structures on the Regional Water Balance”, Sponsored by The Centre for Science and Environment, New Delhi.

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

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CO-CURRICULAR ACTIVITIES

Invited Presentations

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.

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

10. 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.

11. 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.

12. 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.

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

14. 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.

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

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

17. 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. 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 2^nd 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 2^nd 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 1^st 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 2^nd 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 2^nd 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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Top Education Experience Publications Projects Co-curricular Activities Other Activities Links

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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.

Short-Term Courses/Workshops

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:

• Water Resources Research published by AGU
• Journal of Hydrology published by Elsevier
• Hydrology and Earth System Sciences (HESS) published by Elsevier
• Journal of Hydrologic Engineering published by ASCE
• Journal of Hydraulic Engineering published by ASCE
• Journal of Irrigation and Drainage Engineering published by ASCE
• Journal of Computing in Civil Engineering published by ASCE
• Journal of Applied Soft Computing published by Elsevier
• Water Resources Management published by Kluwer
• Journal of American Water Resources Association published by AWRA
• Advances in Engineering Software published by Elsevier
• Journal of Environmental Informatics published by ISEIS
• Hydrology Journal published by IAH
• Indian Society for Hydraulics Journal published by ISH
• Journal of Indian Society of Remote Sensing published by ISRS
• Journal of Civil Engineering published by Institution of Engineers (India)
• Indian Concrete Journal
• Journal of Geotechnical Society of India published by GSI
• Sadhana published by Indian Academy of Sciences

Peer Reviewer for the following international conferences:

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

· 3^rd 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)

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

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

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

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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. Artificial neuron modelling for hydrologic processes 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	2011 (Expected) 2010 (Expected) 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. Modeling of the hydrologic process using conceptual and ANN methods 2. Understanding behavior of ANN hydrologic models 3. Hybrid modeling of rainfall-runoff process 4. Inflow prediction and optimal operation of reservoir system during flood by the combined application of ANN and different optimization techniques 5. Knowledge Extraction from Trained ANN Hydrologic Models 6. Short-term streamflow prediction at larger lead times using neural networks 7. Modelling of hydrological processes using conceptual and data-driven approaches 8. Evaluation of back-propagation training method for water quality neural network models 9. Dam break flow modeling using neural networks 10. Estimation of optimum land use parameters in hydrological models using remotely sensed data 11. Design of Composite Channels using Genetic Algorithm 12. Flood mapping and analysis using Remote Sensing GIS and Hydraulic Techniques 13. Synthetic Rainfall Generation using Stochastic Downscaling and Atmospheric Circulation Patterns 14. Synthetic rainfall generation using an inverse approach 15. Evaluation of techniques for modeling event-based rainfall-runoff process 16. Prediction of Daily Streamflow Time Series 17. Optimization of Unit Hydrograph using Genetic Algorithm 18. Regionalization of Parameters of a Conceptual Rainfall Runoff Model 19. Investigation of Deterministic Dynamics in Hydrologic Variables: A Chaotic Perspective 20. Calibration of Infiltration Parameters using Inverse and ANN Techniques 21. Modeling of Monthly Runoff Time Series using ANNs 22. Short-Term Rainfall Forecasting using Thunderstorm Cell Model 23. Modeling of an Event based Rainfall Runoff Process using ANNs 24. Short-Term Rainfall Forecasting using ANNs	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	2010 (Expected) 2010 (Expected) 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 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 (Expected) 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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Top Education Experience Publications Projects Co-curricular Activities Other Activities Links

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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. 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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