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Dr. Preeti Kulkarni

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Personal Profile
First Name
Dr. Preeti
Last name
Kulkarni
Email Address
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Department
Civil
Date of Joining
23 June 2009
Designation
Associate Professor
Academic Qualifications
B.E. (Civil Engineering), M. E. (Construction Management), Ph. D. (Civil Engineering)
Professional Membership
ISTE
Extension
283
Mobile Number
9552525907
Awards

Best Paper and Best presenter awards

ordering
8
AICTE Unique ID
1-453210375
Date of Birth
21.11.1977
Employee Type
Faculty
Professional Profile/ Research Profile
Area of Interest

1. Construction Management

2. Concrete Technology

3. Soft Computing in Civil Engineering

Technical Skills

Software used: MATLAB, Discipulus, GP Kernel, WEKA,Python

Teaching

UG: Building Technology and Materails, Building Planning, Infrastructure Engineering, Project Management and Engineering Economics, Construction Management, TQM and MIS in Civil Engineering, Advanced Concrete Technology, Optimization Techniques, Systems Approach in Civil Engineering, Stastics and Probability, Data Analyticst, Transportation Engineering, Concrete Technology, Transportation Engineering.

PG: Research Methodology, Project Funding, Human Rights, Intellectual Property Rights. 

 

UG and PG Projects

Guiding PhD Students

Certifications
ISTE
Invited Talks

 Half day workshop on Applications of ANN in Civil Engineering in various Engineering colleges

Research Interest

1. Construction Management

2. Concrete Technology - Recycled Materials

3. Soft Computing applications in Civil Engineering

Papers published in Journals
  • Deshpande, N. K., Kulkarni, S.S., (2011). Critical analysis of recycled concrete with recycled aggregates., International journal of research in engineering sciences and technologies 2, 21-30.
  • Deshpande, N., Kulkarni, S. S, Patil, N. (2011), Effectiveness of using Coarse Recycled Concrete Aggregate in Concrete, International Journal of Earth Sciences and Engineering, 4(6) SPL, 913-919.
  • Deshpande, N., Kulkarni, S.S. (2012). Critical Analysis of Recycled Aggregate and Concrete with Recycled Aggregate. Applied Mechanics and Materials, 99-100, 1274-1280.
  • Deshpande N., Kulkarni, S.S., Pachpande, H.(2012). Strength Characteristics Of Concrete With Recycled Aggregates And Artificial Sand. International Journal of Engineering Research and Applications, 2(5), 38-42.
  • Deshpande, N., Londhe, S.N., Kulkarni, S.S. (2013). Modeling Compressive Strength Of Recycled Aggregate Concrete Using Neural Networks And Regression Analysis, Concrete Research Letters. 4(2), 580-590.
  • Deshpande, N., Kulkarni, S.S. (2014). Experimental Investigation on strength characteristics of concrete using tyre rubber as aggregates in concrete, International Journal of Applied Engineering Research and Development, 4(2), 97- 108.
  • Deshpande, N., Londhe, S.N., Kulkarni, S.S. (2014). Modeling Compressive Strength Of Recycled Aggregate Concrete Using Neural Networks, Model Tree And Regression Analysis, International Journal of Sustainable Built Environment. 3(2), 187-198.- Elsevier.
  • Preeti Kulkarni et.al.(2015). Experimental Investigation on use of alternative materials in bricks, International Journal of modern trends in engineering and research, Conference volume, ISSN No. 2349-9745. Impact factor- 1.71.
  • Preeti Kulkarni et.al. (2015). Experimental Investigation on properties of concrete made using glass cullet as a partial replacement to fine aggregates, International Journal of modern trends in engineering and research, Conference volume, ISSN No. 2349-9745. Impact factor- 1.7
  • F Khademi, SM Jamal, N Deshpande, S Londhe, (2016). Predicting strength of recycled aggregate concrete using artificial neural network, adaptive neuro-fuzzy inference system and multiple linear regression, International Journal of Sustainable Built Environment 5 (2), 355-369.

  • P Kulkarni, S Londhe, M Deo, (2017), Artificial Neural Networks for Construction Management: A Review, Soft Computing in Civil Engineering 1 (2), 70-88

  • Paranje A.S. and Kulkarni P.S. (2017), Experimental Investigation on Styrofoam based Concrete, International Journal of Earth Sciences and Engineering, 10(6), 1128-1135.
  • Paranje A.S. and Kulkarni P.S. (2017), Experimental Investigation on Styrofoam based Concrete, International Journal of Mechanical And Production Engineering, 5(12), 56-61.
  • Preeti Kulkarni, Shreenivas Londhe, Pradnya Dixit, (2018), Concrete Strength Prediction using Artificial Neural Network and Genetic Programming, Challenge Journal of Concrete Research Letters, 9(3), 75-84, Nov 2018.
  • Preeti Kulkarni, Shreenivas Londhe, Pradnya Dixit, (2019), Predicting Strength of Concrete using Artificial Neural Network , Multi Gene Genetic Programming and Model Tree, Challenge Journal of Structural Mechanics, 5(2), 42-61, June 2019.
  • Nagarkar, Vardhan & Kulkarni, Preeti & Londhe, Shreenivas., “Prediction of Concrete Compressive Strength Using Fuzzy Logic and Model Tree”, Advances in Structural Engineering , Lecture Notes in Civil Engineering, 978-981-15-4078-3. 2021
  • S.N.LondheaP.S.KulkarniaP.R.DixitaA.SilvabR.NevescJ.de Brito, Predicting carbonation coefficient using Artificial neural networks and genetic programming”, Journal of Building Engineering, Volume 39, July 2021, 102258
  • DV Shirsat, PS Kulkarni, SN Londhe, S Phadtare, “Development of Cementless Recycled Concrete Aggregates Paver Blocks Using Molten Plastic Waste as Binder”, Advances in Civil Engineering and Infrastructural Development, 23-31. 2021.
  • S.N.Londhe, P.S.Kulkarni, P.R.Dixit, A.Silva, R.Neves, J.de Brito, Tree Based Approaches for Predicting Concrete Carbonation Coefficient , Applied Sciences, 12.3874.2022
  • S.N.Londhe, Pali Sahu, P.S.Kulkarni, Modelling dissolved oxygen and biochemical oxygen demand using data-driven techniques, Environ. Eng. Res. 2023; 28(3): 210541
Papers presented/published in International Conferences (abroad)
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Papers presented/published in National Conferences/ seminars / symposia
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Papers presented/published in International Conferences (India)
  • Critical analysis of recycled concrete with recycled aggregates, iCOST 1st international conference on sunrise technology, 13th -15th January 2011, Dhule.
  • Effectiveness of using coarse recycled concrete aggregate in concrete, International conference on Advances in Civil Engineering-ACE -2011, Oct 21st -23rd , Vijaywada.
  •  Tyre Rubber as Aggregate in Concrete: A Possible Outlet for Used Tyres, International Conference on Advances in Architecture and Civil Engineering, AARCV, 21, June 2012 - 23, June 2012.
  •  Neural Modeling For Predicting Compressive Strength Of Recycled Aggregate Concrete”, International Conference On Futuristic Innovations & Developments In Civil Engineering (Icficdc ‘13), Mepco Schlenk Engineering College, Sivakasi, India, April 2013.
  •  Predicting compressive strength of recycled aggregate concrete using neural networks, model trees and non-linear regression, ICI-IWC 23-26 Oct 13, Hyderabad.
  •  Experimental Investigation on strength characteristics of concrete using tyre rubber as aggregates in concrete, ICEETA-2014, 7th and 8th March 2014.
  •  Predicting compressive strength of recycled aggregate concrete using neural networks and model trees. National Conference on Techstreams at Rasayani, 21st to 22nd Feb 2014.
  •  Experimental Investigation on use of alternative materials in bricks, ICRTET-2015) July 2-4,2015
  •  Experimental Investigation on properties of concrete made using glass cullet as a partial replacement to fine aggregates, ICRTET-2015) July 2-4,2015.
  •  Predicting compressive strength of concrete using neural networks and genetic programming. National Conference On “Advances in Construction Technology and Management” at Visvesvaraya National Institute Of Technology, Nagpur, on 19th & 20th February.
  •  Experimental investigation on use of recycled aggregates in bricks”. International conference on “Advances in Civil Infrastructure and Developments of smart cities” (ICACIDS-2K16) on 27th and 28th Feb 2016 .
  • "Light weight concrete: Review and codal Provisions", International conference on Applied Science Engineering and Technology (ICASET-16), Tirupati- 18-19 October 2016.
  • “Development of Artificial Neural Network Models using Non-Dimensional parameters for Recycled Aggregate Concrete”, ICGSCS 2017, MITE Mangalore, March 2017
  •  “Knowledge extraction from Artificial Neural Network models developed for concrete strength”, ICGSCS 2017, MITE Mangalore, March 2017.
  • “Paradox in Genetic Programming Modeling with Reference to Predicting Strength of Concrete”, IDES- SDEC Kochi, July 2017.
  • "Experimental investigation on styroambased concrete", Proceedings of IEEEFORUM International Conference, 13th August, 2017, Pune, India.
  • " Study on predicting strength of Concrete using Artificial Neural Network, Genetic Programming and Mode Tree", Advances in Concrete, Structural and Geotechnical Engineering - 26-28 Feb 2018 at BIT,Pilani, Raj (Received best paper award).
  • Preeti Kulkarni, Shreenivas Londhe, Pradnya Dixit, Comparison of Numerical and Data Driven Approaches for Rainfall - Runoff Modeling, Hydro International, NIT Patna, Dec2018.
  • Preeti Kulkarni, Shreenivas Londhe, Pradnya Dixit, ANN and MT approach for Water Level Forecasting with Moving Average”, World Ocean Science Congress, Andhra University, Vizag, Feb 2019.
  • Preeti Kulkarni, Shreenivas Londhe, Pradnya Dixit Operational Ocean Observation /Monitoring using Data Driven Tools and Moving Average in Predicting Sea Surface Temperature”, World Ocean Science Congress, Andhra University, Vizag, Feb 2019 .
  • Preeti Kulkarni, Shreenivas Londhe, Pradnya Dixit, Removal of Phase shift in Wave Height forecasting using Data Driven Tools and Moving Average”, World Ocean Science Congress, Andhra University, Vizag, Feb 2019.
  • Shital Shinde, Preeti Kulkarni, Shreenivas Londhe, Flood lines i.e. Red and Blue Line Marking on Downstream of Kurnoor Medium Project on Bori River”, Hydro 2019 Osmania University, Hyderabad, Dec 2019. 
  • Preeti Kulkarni, Shreenivas Londhe, Shalaka Shah, Impact Of Various Normalization Ranges On ANN Models”, 5th International Conference on Modeling and simulation in Civil Engineering, ICMSC 2019, TKM College of Engineering, Kollam, Kerala, India, Dec 2019. 
  • Nilesh Sathe, Preeti Kulkarni, Shreenivas Londhe, Fuzzy Logic Based Reservoir Operation, 5th International Conference on Modeling and simulation in Civil Engineering, ICMSC 2019, TKM College of Engineering, Kollam, Kerala, India, Dec 2019 
  • Preeti Kulkarni, Shreenivas Londhe, Pradnya Dixit, Stream Flow Prediction using Artificial Neural Network and Support Vector Regression, 2nd International Conference on Sustainable Water Management is being organized by Water Resource Department, Govt. of Maharashtra November 2019, Pune, Maharashtra, India
  • Dhanesh, Preeti Kulkarni, Shreenivas Londhe, Pradnya Dixit, Development of Cement less Recycled Concrete Aggregates Paver Blocks using Molten Plastic Waste as Binder, International Conference on Recent Advancements In Civil Engineering And Infrastructural Developments (IC-RACEID-2019), G. H. Raisoni COE, Nagpur, July 2019 
  • Vardhan Nagarkar, Preeti Kulkarni, Shreenivas Londhe, Comparative Study of Prediction of 28 Days Strength using Fuzzy Logic and Model Tree”, Conference on Recent Advancements In Civil Engineering And Infrastructural Developments (IC-RACEID2019), G. H. Raisoni COE, Nagpur, July 2019.
  • Patel A. R., Wadkar A., Banne O.,Deshmukh P., Kulkarni P.,Londhe S. and Dixit P., “ Development of software for optimizing transportation cost of cement”, ACM, College of Engineering, Pune, FEB 2020.
  • Preeti Kulkarni, A.R. Mengade, Prof. S.N. Londhe, P.R. Dixit, “ Correlating Stream Gauge stations using Multigene Genetic Programming”, Hydro 2021.
  • M.S. Sakat1, A.R. Mengade2, Y.S. Sonawane3, Prof. S.N. Londhe4, P.R. Dixit5 and P.S. Kulkarni, “ Stream Flow Forecasting Using Support Vector Regression, Model Tree and Multigene Genetic Programming
  • Pali Sahu, Prof. Shreenivas Londhe, Dr. Preeti Kulkarni,” Prediction of Dissolved Oxygen (DO) content using Artificial Neural Network (ANN) M5 Model Tree for MulaMutha River Pune-India”, MANIT,Bhopal
Professional Experience

1. SetU Technologies Pvt. Ltd.

2. Magnus School of Business

3. Sri Krishna Institute of Information Technology, Bangalore

4. Vishwakarma Institute of Information Technology, Pune- till date

Other
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Professional Contribution

1. Jalyukta Shivar Abhiyan - Impact Analysis

 

Books Published

Co-authored book” Infrastructure Engineering and Construction Economics” published by Nirali Prakashan.

Country Visited
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Projects

Predicting strength of concrete using Soft computing tools

Use of Recycled aggrgates in concrete.

Investigating parameters influencing productivity of concrete

Use of rubber tyre as aggregates in concrete

Use of glass cullet in concrete and bricks

Use of Soft Computing Techniques in Civil Engineering

 

 

PhD Work

Thesis titled" Study Of Properties Of Concrete Made With Recycled Aggregate And Industrial Wastes With Special Application To Housing", 2016.

Patents
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Copyrights(no)
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Consultancy Projects

Co-PI for "Impact Assessment of Jalyukta Shivar Abhiyan".

Reviewer Assignments

Reviewer for Modelling in materials and structures,  Journal of Scientific Research and Reports. 
Reviewer for conference papers in PG-CONFERENCE-RIT, Islampur in January 2016
Reviewer and chairperson for sessions in PG-CONFERENCE-SPPU, Pune in June 2016.

Funded Research Projects
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