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Kilaru Aswini

vidwan id: 217106

Assistant Professor, Computer Science and Engineering, Institute of Aeronautical Engineering

orcid 0000-0003-4009-9589 scopus 58676188000 researcher ABF-8494-2022 google_scholar D03u6poAAAAJ

Expertise

  • Computer Science Software Engineering
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Publications

Total Articles 37
Books 2
Proceedings 0

Publications 1992-2022

Scopus

Citations 27
h-index 3

CrossRef

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Citations 0
h-index 0

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Honours and Awards

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ISTE

LIFE TIME

Bio

Computer Science and Engineering

Personal Details

  • Female
  • Institute of Aeronautical Engineering
  • Institute of Aeronautical Engineering, Dundigal Road, Dundigal - 500043
M.Tech
Institute of Aeronautical Engineering 2019
B.Tech
Other Institute 2015
Assistant Professor 2019 – Present
Institute of Aeronautical Engineering

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Organisations (144+)

B

Ms B Veena

Institute of Aeronautical Engineering

Praveena

Praveena Gajula

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Surekha Reddy

Dr Surekha Reddy Bandela

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Divya

Dr Divya Boosagulla

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Padmaja

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Scholarly Work

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Scholarly Publications

Voltage Source Converter with Different Control Strategies for a MicroGrid-connected Solar PV with Nonlinear Loads for Current Harmonics Compensation

 conference paper
2022 Pages: 1-6.
Authors: Kilaru Aswini , Appalabathula Venkatesh
DOI 10.1109/CONECCT55679.2022.9865810
5 citations

An extensive analysis of technological frameworks with the rise of industry 5.0

 Book Chapter
2024 Pages: 59-72.
Authors: Kilaru Aswini , Joshuva Arockia Dhanraj , Vijilius Helena Raj
DOI 10.4018/979-8-3693-3550-5.ch005

Understanding AI: Interpretability and Transparency in Machine Learning Models

 Conference Paper
2023 Pages: 613-617.
Authors: Kilaru Aswini , Gunasundari C
DOI 10.1109/UPCON59197.2023.10434665
1 citation

Optimal Location Identification of Solar PV Systems in Distributed Generators Based on Prediction of Load Flow and Factor Using Rule Based Deep Learning Algorithm

 Article
2025 Volume: 20, Issue: 3, Pages: 1269-1281.
Authors: Kilaru Aswini , K R N Aswini , S N Deepa
DOI 10.1007/s42835-024-02063-8

Multimodal Analysis of Induction Motor Signals for Power Quality Abnormality Detection Using Wavelet-RBF Approach

 Conference Paper
2024 Volume: 1006 LNNS, Pages: 187-201.
Authors: Kilaru Aswini , K R N Aswini
DOI 10.1007/978-981-97-3810-6_16
1 citation