Rageshri Bakare
VIDWAN ID: 349064

Ms Rageshri Bakare

Female Master of Engineering
Assistant Professor - Senior Scale
MIT Art, Design and Technology University, Pune
Maharashtra
Expertise: Electrical and Electronic Engineering
5 Publications
0 Projects
8 Scopus Citations
4 CrossRef
8 Years 2 Months Total Experience
Publications
5 Total
Articles
2
Proceedings
3
Activity

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Scopus Scopus
8 Citations
1 h-index
CrossRef CrossRef
4 Citations
1 h-index
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Professional Recognition

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Community & Membership

ISF
STUDENT ADVISOR
Jan 2019
IEEE
96441857
Jan 2021
IETE
96441857
Jan 2020

Personal Details

Master of Engineering
2010
N/A
Assistant Professor - Senior Scale
Jul 2018 – Present
MIT Art, Design and Technology University, Pune
Engineering and Technology
Electrical and Electronic Engineering

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Scholarly Work

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Ein IoT-basiertes-Oximeter- und Blutdrucküberwachungssystem

MIT Art
Design and Technology University
- Patent No. : 20 2024 103 765 Filed : 08-07-2024
Published : 22-07-2024 Granted

AN IOT BASED OXIMETER AND BLOOD PRESSURE MONITORING SYSTEM

MIT Art
Design and Technology University
- Application No. : 202221056361 A Filed : 30-11--0001
Published : 30-11--0001 Published

Scholarly Publications

Enhancing Multiclass Dementia Detection with EEG Signals: A Feature-Driven LSTM Approach

Open Access
Journal Article
Engineering, Technology & Applied Science Research. Year: 2026. Volume: 16 , Issue: 1 , Pages: 30991-30996 .
Authors: Rageshri Bakare; Virendra Shete; Magda Tsolaki; Spiros Nikolopoulos

Comparative Analysis of Machine Learning Algorithms for EMG Signal Classification

Conference Paper
Year: 2025.
Authors: Anagha Shinde; Virendra Shete; Rageshri Bakre

Leveraging Insights from KNN and LSTM Models for Alzheimer's Disease Early Detection

Conference Paper
Year: 2025. Pages: 314-318 .
Authors: Rageshri Bakare; Virendra Shete; Magda Tsolaki; Ioannis Kompatsiaris

Revolutionizing the Alzheimer’s Disease Stage Diagnosis through AI-Powered approach

Journal Article
International Journal of Intelligent Systems and Applications in Engineering. Year: 2024. Volume: 12 , Issue: 13s , Pages: 407-416 .

Machine Learning Approach for Dementia Classification using EEG Signal Analysis

Conference Paper
Year: 2023.
Authors: Rageshri Bakare; Virendra Shete; Magda Tsolaki; Ioannis Kompatsiaris