Mrs. Pradnya Vaibhav Kulkarni

Bio

Dedicated teacher and researcher specializing in Recommendation System, Machine Learning and Data Science. With a Ph.D. in eLearning recommendation System, I am eager to contribute as an Assistant Professor and Researcher, leveraging my experience in teaching and passion for research in related fields.

Specialisation: Computer Science and Engineering

Areas of Expertise: Machine Learning,Deep Learning,AI,Systems

Teaching Experience: 22 years

Education:

Ph.D: PhD in Computer Science and Engineering-MITADT,Pune

M.Tech: M.E. In Computer Engineering with Specialisation in IT-VIT,Pune

B.tech: B.Tech. In Computer Science and Engineering,D.Y.Patil COE,Kolhapur

Publications and Research Work:

1. Kulkarni, P.V., Rai, S., Kale, R. (2020). Recommender System in eLearning: A Survey. In: Bhalla, S., Kwan, P., Bedekar, M., Phalnikar, R., Sirsikar, S. (eds) Proceeding of International Conference on Computational Science and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0790-8_13,S.

2. Bobde, S. Jaiswal, P. Kulkarni, O. Patil, P. Khode and R. Jha, "Fruit Quality Recognition using Deep Learning Algorithm," 2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), Pune, India, 2021, pp. 1-5, doi: 10.1109/SMARTGENCON51891.2021.9645793.

3. Paper published in International Journal of Computing and Digital Systems (IJCDS) “Resolving the Ozone Dilemma: An Integration of Game Theory and Time Series Forecasting” on Dec 2024. published paper "Blockchain-Driven Automation for Degree Certificate Authentication while Preserving Data Integrity” at the International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS 2024) organized by International Scientific Research Foundation in association with Novel Research Foundation on 27-28 December 2024, Pattaya, Thailand.

Subjects Taught:

System Software,Compiler Design,Operating Systems,Theory of Computations,Computer Graphics,Business Intelligence ,Data Mining

Google Scholar link
https://scholar.google.com/citations?user=pUykKQIAAAAJ&hl=en

Scopus link
https://www.scopus.com/authid/detail.uri?authorId=57404278300

Orcid Link
https://orcid.org/0000-0001-6855-2707