Dr Shilpa Marathe Sardesai
Teaching Associate
SYMBIOSIS Institute of Computer Studies and Research
Maharashtra
Expertise:
Computer Science Artificial Intelligence
9
Publications
0
Projects
2
Scopus Citations
0
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10 Years 5 Months Total Experience
Scopus
2
Citations
1
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Professional Recognition
Bachelor of Engineering Hons
2010
Rajiv Gandhi Proudyogiki Vishwavidyalaya
M. Tech Hons
2012
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Community & Membership
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IETE
Life MembershipIEEE
Associate MemberPersonal Details
Doctor of Philosophy
2024
N/A
Master of Technology
2012
N/A
Bachelor of Engineering
2010
N/A
Higher Secondary Certificate (Class 12)
2006
N/A
Secondary School Examination (Class 10)
2004
N/A
Teaching Associate
Sep 2024 – Present
SYMBIOSIS Institute of Computer Studies and Research
Teaching Assistant
Aug 2019 – Aug 2024
D Y PATIL INTERNATIONAL UNIVERSITY
Assistant Professor - Selection Grade
Apr 2015 – Jul 2016
Genaba Sopanrao Moze Trusts College of Engineering,Pune
Assistant Professor - Selection Grade
Dec 2013 – Oct 2014
Dr DY Patil of School of Engineering & Technology
Assistant Professor - Selection Grade
Feb 2012 – Feb 2013
Lakshmi Narain College of Technology
| Department of Electronics and Communication Engineering
Engineering and Technology
Scholarly Work
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Scholarly Publications
Volatility-aware Multimodal Market Forecasting via OPTICS Clustering, Spider Web Hyperparameter Optimization, and Incremental LSTM Prediction
Open AccessImproving Heart Disease Diagnosis with Aquila-Optimized Feature Selection and XGBoost Classification
Optimization of Electric Vehicle Charging Networks for Sustainable Transportation
Fusion of Colour, Texture, and Shape Features with Supervised Learning Model for Content Based Image Retrieval
Content based Image Search Engine with Grey Wolf Optimized Neural Network
10.1109/IHCSP56702.2023.10127195
Scopus: 1
A CNN-inspired Reverse Search Engine for Content-based Image Retrieval
10.1109/IC3I56241.2022.10073010
Scopus: 1
Secure and Intelligent Financial Data Analysis Using Machine Learning, Fuzzy Logic, and Cryptography
An Extensive Investigation of Supervised Machine Learning (SML) Procedures Aimed at Learners’ Performance Forecast with Learning Analytics
Showing 1 to 8 of 9 publications