Dr.K Arun kumar

Employment

• GITAM - Bengaluru Campus Assistant professor
  2022 - Present
• Gates Institute of Technology Assistant professor
  2021 - 2022
• Gates Institute of Technology Assistant professor
  2015 - 2018
• Sri Krishnadevaraya Engineering College Assistant professor
  2014 - 2015

Education

• Jawaharlal Nehru Technological University Anantapur Ph.D (Full-Time)
  2018 - 2023
• Jawaharlal Nehru Technological University Anantapur College of Engineering Ananthapuramu M.Tech
  2011 - 2013
• Vinayaka Mission's Research Foundation B.E
  2007 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• A Deep Learning–Based Automated Framework for Detection and Classification of Medical Abnormalities from Diagnostic Images
  Indian Patent Office 2026
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• A hybrid deep learning based framework for prediction of rice yield through integration of biophysical parameters and optical remote sensing data in India
  Journal of Atmospheric and Solar Terrestrial Physics 2026 DOI: 10.1016/j.jastp.2026.106734
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• Breast Cancer Classification through Meta-Learning Ensemble Model based on Deep Neural Networks
  Journal of Information Technology Management (JITM) 2024
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• A HSEERP—Hierarchical secured energy efficient routing protocol for wireless sensor networks
  Peer-to-Peer Networking and Applications 2023 DOI: 10.1007/s12083-023-01575-w
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• Robust multifocus deep neural network for progression prediction on patient trajectory data
  International Journal of Intelligent Computing and Cybernetics 2022 DOI: 10.1108/IJICC-09-2021-0202
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• novel concept specific deep learning for disease treatment prediction on patient trajectory data model
  International journal of health sciences 2022 DOI: 10.53730/ijhs.v6ns1.8290
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• Prognostic Outcome Prediction on Patient Treatment Trajectory Data Using PSO Optimization on LTSM-RNN Model
  Advances in Intelligent Systems and Computing 2022 DOI: 10.1007/978-981-16-7330-6_78
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• A Study on Mining and Analysis of Trajectory Databases with Multi-dimensional Feature Sets
  Lecture Notes in Electrical Engineering 2020 DOI: 10.1007/978-981-15-1420-3_109
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