M Aruna Safali
VIDWAN ID: 177771

Dr M Aruna Safali

Female Doctor of Philosophy
Professor | Department of Computer Science and Engineering
Dhanekula Institute of Engineering & Technology, Ganguru, Penamalluru Mandal, PIN-521139(CC-8T)
Andhra Pradesh
Expertise: Computer Science Information Systems
4 Publications
0 Projects
8 Scopus Citations
5 CrossRef
14 Years 3 Months Total Experience
Publications
4 Total
Articles
1
Proceedings
3
Activity

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

Young Scientist
2021
APAS

Community & Membership

International Conference on Renewable Energy and Green Technology–2020
Advisory National Committee Member
Jan 2020
IFERP
Associate Member
Jan 2018

Personal Details

Doctor of Philosophy
2020
Ajmal Khan Tibbiya College
Professor
Apr 2021 – Present
Dhanekula Institute of Engineering & Technology, Ganguru, Penamalluru Mandal, PIN-521139(CC-8T) | Department of Computer Science and Engineering
Associate Professor
Jun 2012 – Mar 2021
NRI Institute of Technology, Pothavarappadu (V), Agiripalli (M), Vijayawada Rural, PIN-821212(CC-KN)
Engineering and Technology
Computer Science Information Systems

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Scholarly Work

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Architecture for Autonomous Sterilized Thermal Sensing System for Virus Scanning During Epidemics

Dr.M.Aruna Safali
- Patent No. : 202041012415 A. Filed : 03-12-2019
Published : 13-12-2019 Published

Scholarly Publications

An Energy Efficient Novel Routing Protocol in Wireless Sensor Networks (WSN)

Conference Paper
Year: 2021. Pages: 319-324 .
Authors: S Sindhura; S Phani Praveen; NidamanuruSrinivasa Rao; M. ArunaSafali

Ensemble text mining for sentiment analysis using deep learning based stacked auto encoder

Journal Article
Year: 2018.
Authors: Aruna Safali, M.; Suneetha, C.

A. Amalgamative sentiment analysis framework on social networking site

Open Access
Conference Paper
Journal of Physics: Conference Series. Year: 2019. Volume: 1228 , Issue: 1 , Pages: 012010 .
Authors: Arunasafali, M.; Satya Prasad, R.; Sastry, K.B.S.

Ensemble feature analysis classifier for sentiment analysis using convolutional neural networks

Open Access
Conference Paper
Journal of Physics: Conference Series. Year: 2019. Volume: 1228 , Issue: 1 , Pages: 012009 .
Authors: Arunasafali, M.; Suneetha, C.