Kesava Rao Bagadi
VIDWAN ID: 408935

Dr Kesava Rao Bagadi

Male Doctor of Philosophy
Assistant Professor | Department of Electronics and Communication Engineering
Mahatma Gandhi Institute of Technology
Telangana
Expertise: Electrical and Electronic Engineering
9 Publications
0 Projects
37 Scopus Citations
35 CrossRef
18 Years 6 Months Total Experience
Publications
9 Total
Articles
5
Chapters
1
Proceedings
3
Activity

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Scopus Scopus
37 Citations
3 h-index
CrossRef CrossRef
35 Citations
3 h-index
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Professional Recognition

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Community & Membership

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ISTE
Life Member
Jan 2020
IETE
Fellow
Jan 2021
IE
Member
Jan 2021
IEEE
Member
Jan 2025

Personal Details

Doctor of Philosophy
2024
The Oxford College of Business Management
Master of Engineering
2011
Kota University, Kota
Bachelor of Technology
2006
N/A
Assistant Professor
Mar 2008 – Present
Mahatma Gandhi Institute of Technology | Department of Electronics and Communication Engineering
Engineering and Technology
Electrical and Electronic Engineering

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Scholarly Work

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Scholarly Publications

An evolutionary optimization method for selecting features for speech emotion recognition

Open Access
Journal Article
Telkomnika: Indonesian journal of electrical engineering. Year: 2023. Volume: 21 , Issue: 1 , Pages: 159-167 .
Authors: Kesava Rao Bagadi; Chandra Mohan Reddy Sivappagari

Enhanced Multi-Class Brain Tumor Classification in MRI Scans Using WPCA-LSTM Network

Conference Paper
Year: 2024. Pages: 1-5 .
Authors: Suganthi, M.; Bagadi, K.; Karthiga, S.; Dash, S.S.; Manjulaadevi, K.; Rajkumar, N.

Low-Cost IoT Monitoring and Lightweight Learning for Cold-Chain Risk Assessment in Temperature-Sensitive Drug Delivery

Journal Article
International Journal of Drug Delivery Technology. Year: 2026. Volume: 16 , Issue: 60s .
Authors: Sirasani, Srinivasa Rao; Bagadi, Kesava Rao; Madhavi, G.

Next-Gen Space Surveillance: IoT-Driven Debris Tracking Systems

Open Access
Preprint
Year: 2025.
Authors: Kesava Rao Bagadi; Sai Krishna Kumar Kuchimanchi; Shaik Kareem; Venkata Sai Kambham; Vishal Maddikunta

A Hybrid Metaheuiristic and Deep Learning Approach for High- Accuarcy Speech Emotion Recogntion

Conference Paper
Year: 2025. Pages: 61-65 .
Authors: Bagadi, Kesava Rao; M, Lakshmi Narasimhacharyulu; Kushwah, Vivek Sigh; M, Ramana Reddy

An evolutionary optimization method for selecting features for speech emotion recognition.

Journal Article
Year: 2023.
Authors: Bagadi, Kesava Rao; Sivappagari, Chandra Mohan Reddy

A robust feature selection method based on meta-heuristic optimization for speech emotion recognition

Journal Article
Evolutionary Intelligence. Year: 2022. Volume: 17 , Issue: 2 , Pages: 993-1004 .
Authors: Kesava Rao Bagadi; Chandra Mohan Reddy Sivappagari

Implementation of Reed–Solomon Coder and Decoder Using Raspberry PI for Image Applications

Book Chapter
Year: 2022. Pages: 451-469 .
Authors: Kallepalli Bapayya; Bagadi Kesava Rao
Showing 1 to 8 of 9 publications