DR. SHREENIVAS NEELKANTH LONDHE

Designation:

Professor

Department:

Civil Engineering

Email :

shreenivas.londhe@vit.edu

Phone :

9422037789

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 : 33 year:3 month

Experience :

Sr. No	Organisation	Designation	From Date	To Date	Years of Experience
1	S V C Polytechnic Pune	Lecturer	01-Jul-1993	31-May-1996	2
2	Sinhgad College of Engineering	Assistant professor and Lecturer	01-Jun-1996	30-Jul-2006	10
3	Texas A and M University Galveston	Post Doctoral Fellow and part time faculty	06-Oct-2004	22-May-2006	1
4	IIT Bombay	Post Doctoral Fellow	01-Jan-2007	31-Dec-2007	1
5	Vishwakarma Institute of Information Technology	Professor	07-Jan-2008	30-Jun-2024	16
6	Vishwakarma Institute of Technology	Professor	01-Jul-2024	-	1

Professional Contribution :

Invited Talks :

Sr. No	Name	Description	Type	Role	From Date	To Date
1	Retrofitting and rehabilitation of Civil Infra Structures		STTP	organizing member	19-May-2025	23-May-2025
2	Advanced Informative and Emerging Trends in Teaching and Research	Organized by research foundation of India	FDP	Participated	24-Aug-2024	30-Aug-2024
3	Soft Skill Development	NPTEL Course	FDP	Participated	22-Jul-2024	13-Sep-2024
4	Professional Training/Internship Program on Python with Machine Learning	Center of Excellence, National Instruments Innovation Center- Greater Noida	Other	Participated	03-Jun-2024	19-Jul-2024

International Journal:

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,125
Influence ,Journal of Building Pathology and Rehabilitation,125
A novel Neuro-Genetic Programming framework for streamflow modelling ,ISH journal of Hydraulic Engineering,125
Modelling water quality parameters using model tree, random forest, and non-linear regression for Mula-Mutha River, Pune, India ,Environmental monitoring and assessment,124
Influence of calcium nitrate on the development of compressive strength and carbonation resistance of GGBS concrete ,Innovative Infrastructure Solutions,125

International Conference:

Significance of input selection in soft computing techniques for forecasting runoff ,Hydro International 2024,124
Effect of Wind Information at various latitude and longitude on significant wave height ,Hydro 2025,124

Book Chapter:

Forecasting Future Precipitation Trends Using GCMs and Model Trees ,null,124
Experimental Study on Workability and Compressive Strength of Sustainable Self-compacting GGBS Concrete for Different Brand of Cement ,null,125
Rainfall–Runoff Modelling Using Numerical Technique for Upper Krishna Basin, India ,null,124

Patents :

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