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Vishwakarma Institute of Information Technology, Pune

Faculty Profile
Home | PROF. (DR.) SHREENIVAS NEELKANTH LONDHE

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PROF. (DR.) SHREENIVAS NEELKANTH LONDHE

Designation:

Professor

Department:

Civil Engineering

Email :

shreenivas.londhe@viit.ac.in

Phone :

9422037789

 



Personal

Educational Qualification :

University Degree Year
Indian Institute of Technology Bombay phd 2003
Savitribai Phule Pune University ME 1998
Savitribai Phule Pune University BE 1990


Date of Joining : 31/12/2007


Total Experience : 32 year:11 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 Sinhgad College of Engineering Lecture 01-Aug-1993 27-Jul-2006 12
2 Texas A and M University Galveston Texas USA Post Doctoral Fellow 04-Oct-2004 22-May-2006 1
3 IIT Bombay Post Doctoral Fellow 01-Jan-2007 31-Dec-2007 1
4 Vishwakarma Institute of Information Technology Professor 08-Jan-2008 02-Jul-2022 17

Professional Contribution :

  1. batch guardian

  2. core committee

  3. mentor teaching and learning committee

  4. member grievances committee

  5. committee member for assessing evidences / exhibits for NAAC

  6. member on Advisory committee for NEP 2020

  7. member of Core Committee

  8. Batch Guardian

  9. course coordinator

  10. course coordinator

  11. Files P9, P11, P23, P24 for NAAC


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 NEP 2020 Orientation and sensitization Programme FDP organized by MMTTC- SPPU Academics Participated 13-Mar-2024 26-Mar-2024
2 Effective Engineering Teaching in Practice 4 weeks course by NPTEL Academics Participated 24-Jan-2024 21-Feb-2024
3 Balancing Reservoir 2 weeks training for balancing reservoir in Prudent Design private limited Pune Industry Training Participated 18-Dec-2023 31-Dec-2023
4 Exploring Dynamics of NEP 2020 with respect to NAAC perspective Organized by MKES Khanwala College Mumbai, Research foundation of India and RFI-CARE from 15 to 24th Noveber 2023 Academics Participated 15-Nov-2023 24-Nov-2023
5 Industrial Visits Meetings with industry professional for promoting applications of AI in Civil Engineering. IITM, WRD etc Professional Participated 01-Jul-2023 30-Apr-2024
6 ANN IN CIVIL ENGINEERING Department of Civil EngineeringUniversity Institute of Technology (UIT) , RGPV Academics Resource Person 01-Apr-2022 01-Apr-2022
7 Artificial Neural Networks and its Applications in Civil Engineering AISSMS COE Academics Resource Person 24-Mar-2022 24-Mar-2022
8 River flow modeling using Soft Computing Techniques FDP Academics Resource Person 29-Dec-2021 30-Dec-2021
9 AI/ML for Hydrology, Hydrodynamics and Air Quality Lecture in C-DAC Industry Training Resource Person 28-Dec-2021 28-Dec-2021
10 Hydro International conference Professional Session Chair 23-Dec-2021 25-Dec-2022
11 ANN IN Water Resources Engineering One Week Online GUJCOST-DST Sponsored Academics Resource Person 22-Nov-2021 26-Nov-2021
12 ONE WEEK ONLINE WEBINAR SERIES ON WATER RESOURCES AND ENVIORNMENTAL ENGINEERING Distinguished Alumni of MTECH CIVIL -WREE working in thevarious Government as well as in Private sectors, will share thereexpertise with Civil Engineering students to apprise variousopportunities present in the professional field of Civil Engineeringin general and in water resources and Environmental Engineeringin specific.For UG and PG students Academics convener 27-Sep-2021 04-Oct-2021
13 Modelling Water Flows using Soft Computing Techniques RMD AND IWWA Joint workshop Academics Resource Person 09-Aug-2021 10-Aug-2021
14 Application of Neural Networks for modelling oceanic parameters ATAL FDP in DYPIT Academics Resource Person 09-Aug-2021 13-Aug-2021
15 Research paper writing ISTE approved STTP Academics Resource Person 28-Jun-2021 03-Jul-2022

International Conference:

  1. Forecasting Future Precipitation Trends using GCMs and Model Trees ,Hydro ,123
  2. Impact Assessment of Waste Water Streams on Water Quality of River Pavana in Pimpri Chinchwad City Area ,International Conference on Computing, Communication and Green Engineering (CCGE),121
  3. Experimental investigation on Cementless paver blocks made using artificial Aggregate and Ocean sand ,ICRTET ,121
  4. Determination of Factors Affecting Labor Productivity in Pune City ,7th International Conference on Recent Trends in Engineering ,121
  5. Compressive Strength of Concrete by Artificial Neural Network and Support Vector Regression: A Comparative Assessment ,7th International Conference on Recent Trends in Engineering ,121
  6. Application of Data Driven Techniques for Prediction of Koyana Reservoir Inflow ,HYDRO 2022,122
  7. Comparative performance of two data driven techniques for rainfall - runoff modelling ,Hydro - ,122
  8. Prediction of stresses in Extended Shear Tab connection using Artificial Neural Networks with special reference to Input selection ,Advancement in Structural ,122
  9. Reservoir Sedimentation Analysis using SWAT Model ,Hydro ,121
  10. Simulation of Reservoir Inflow using HEC-HMS ,Hydro ,121
  11. Rainfall- Runoff Modelling using Artificial Neural Networks (ANNs) for Upper Krishna Basin, Maharashtra, India ,Hydro,121
  12. Application of Random Forest and Model Tree for Discharge and Water Level Estimation and Prediction ,Hydro,121
  13. Flood Mitigation in and around Sangli, Maharashtra by Modification of River Meander Geometry ,Hydro,121
  14. Downscaling Climate Data using Artificial Neural Networks ,Hydro,121
  15. Behaviour of Extended shear tab connection subjected to concentrated loads ,ICCAEASI,121
  16. STREAMFLOW PREDICTION USING DATA DRIVEN TECHNIQUES FOR UPPER KRISHNA SUBBASIN STATIONS OF MAHARASHTRA, INDIA. ,ICRACE,121
  17. Prediction of Dissolved Oxygen (DO) content using Support Vector Regression for Mula-Mutha River Pune-India ,ICAWTM-22: 1st International Conference on Advances in Water Treatment and Management,121
  18. Comparative performance of two data driven techniques for rainfall runoff modeling ,Hydro International,122
  19. Application of data driven techniques for prediction of Koyna reservoir inflow ,Hydro International,122
  20. Impact of Climate Change on Rainfall ,Applied Science E conference,123
  21. Application of Data Driven Technique for Prediction of Koyna Reservoir Outflow ,Hydro International,123
  22. Reservoir ouflow modeling using soft computing techniques ,International water conference for sustainable development goals,124

National Conference:

  1. APPLICATION OF DATA DRIVEN TECHNIQUES TO ESTIMATE RAINFALL INTENSITY OF MUMBAI REGION ,National Conference on Innovation in Engineering and Technology 2022NCIET,122
  2. PREDICTION AND FORECASTING STREAM FLOW OF KRISHNA RIVER STATION USING DATA DRIVEN TECHNIQUES ,National Conference on Innovation in Engineering and Technology 2022,122

International Journal:

  1. Modelling dissolved oxygen and biochemical oxygen demand using data-driven techniques ,Environmental Engineering Research,122
  2. Waste Removal Efficiencies of Floating Macrophytes for Restoration of Polluted Stream: An Experimental Analysis ,Urban Science,123
  3. Feasibility of VOF-FEM Coupling to Study the Wave Impact on a Sloping Seawall ,International Journal of Engineering Trends and Technology,122
  4. Effect of flood releases from reservoirs in Krishna basin of Maharashtra State ,Innovative Infrastructure Solutions,121
  5. Hydraulic response of the Hippargi barrage and Almatti reservoir on the Krishna river and its tributaries, India ,Innovative Infrastructure Solutions,122
  6. Comparison of long-term and short-term trends of annual rainfall in India: a case study ,ISH Journal of Hydraulic Engineering,122
  7. Tree Based Approaches for Predicting Concrete Carbonation Coefficient ,Applied Sciences,122
  8. Modelling the behaviour of extended shear tab connection using artificial neural network , Asian Journal of Civil Engineering ,123
  9. Rainfall-runoff modelling – a comparison of Artificial Neural Networks (ANNs) and Hydrologic Engineering Centre-Hydrologic Modelling System (HEC-HMS) ,ISH Journal of Hydraulic Engineering,124
  10. Prediction of water quality parameters using support vector regression ,Innovative Infrastructure Solutions,123
  11. Reservoir Inflow Prediction: A Comparison between Semi Distributed Numerical and Artificial Neural Network Modelling ,Water Resources Management,123
  12. Extreme value analysis of annual precipitation in districts of Maharashtra, India ,Journal of Earth System Science,124
  13. ESTIMATION OF HYDRAULIC PARAMETERS IN A PROPOSED BARRAGE BY USING MATHEMATICAL MODEL. ,International Journal of Engineering Applied Sciences and Technology,122
  14. IS CLIMATE CHANGE AFFECTING THE MONSOON MONTHS IN PUNE, INDIA? ,International Journal of Hydrology Research,122
  15. A Comprehensive Investigation into the Accuracy of Soft Computing Tools for Downscaling Precipitation Data Extracted from Climate Models. ,Journal of Soft computing in Civil Engineering,124

Book Chapter:

  1. Comparison of Numerical and Data Driven Approaches for Rainfall-Runoff Modeling ,River and Coastal Engineering,122
  2. Comparison of Numerical Models for Wave Structure Interaction Studies , River and Coastal Engineering,122
  3. Hydrology and Hydrologic modelling ,Hydro,123
  4. Lecture notes in Civil Engineering ,Hydro,123
  5. Flood Mitigation in and around Sangali Maharashtra India by modification of river meander geometry ,Lecture Notes in Civil Engineering,124


Research Grant / Funded Projects :

  1. Impact of Climate change on hydrometeorological parameters in Baramati area

Copyrights :

  1. INVESTIGATION ON THE EFFECT OF ALKALI ACTIVATOR ON HYDRATION CHARACTERISTICS, MECHANICAL PROPERTIES AND DURABILITY OF SLAG BASED CONCRETE
  2. RAINFALL-RUNOFF MODELLING USING DEEP LEARNIN (DL) TECHNIQUE
  3. DAMAGE DETECTION OF STRUCTURAL JOINT USING DEEP LEARNING
  4. RESERVOIR OPERATIONS USING SHALLOW NETWORK AND DEEP LEARNING TECHNIQUE

Patents :

  1. Android Application for Real Time Flood Forecasting Using Multi- Gene Genetic Programming



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