Prof. Meenu Aditya Bhatia

Bio

Meenu Aditya Bhatia is pursuing a PhD and is committed to delivering quality education while fostering technical excellence among students. Her areas of interest include Algorithms, Data Structures, Artificial Intelligence, Machine Learning and Data Mining. She believes in integrating theoretical concepts with practical applications to prepare students for academic success and industry challenges. Passionate about continuous learning and research, she aims to contribute to the advancement of technology through education and research.

Educational Qualifications:

PhD (Pursuing ) - Vidyalankar Institute of Technology , University of Mumbai

M.E - Vidyalankar Institute of Technology , University of Mumbai

B.E - Vivekanand Education Society Institute of Technology

Areas of Expertise: Algorithms, Data Structures, Artificial Intelligence, Machine Learning

Teaching Experience: 05 years (2021-2026) - Thadomal Shahani Engineering College , Bandra 01 year 3 months ( 2020-2021) - Government Polytechnic Mumbai, Bandra

Publications and Research Work:

-A Hybrid Approach to Fine Grained Multi Emotion Sentiment Analysis of Google Reviews using SVM Transformers and Lexicon –Based Models – ICMAAI -25

-Consumer Behavior Analysis of E-commerce – ICICCS (2022)

-Using Ensemblers Learning to predict Heart Disease Detection – Springer ICICCS (2020)

-Heart Disease Prediction Using Ensemble Learning – Springer ICTIS (2020)

-Combining Information using Advanced SQL JOIN operation- ICICN (2021)

-Clickbait Detection Using Deep Learning Approach: A Survey CICCN(2022)

Professional Affiliations: ISTE

Subjects Taught: DAA, Python Programming

Research Profiles and Links:

Scopus id : 57218675321

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

ORCID: 0009-0007-3337-8789

LinkedIn: https://www.linkedin.com/feed/