Narendra Kumar

About

I am a smart working, enthusiastic and confident person, with good motivating and leading abilities. Punctuality, Teamwork, Convincing ability and Patience are my strengths. Teaching is my passion. Constant improvement is an urge.

Received B.E degree in Telecommunication Engineering from RVCE, Bangalore University, Karnataka, India and M.Tech in VLSI and Embedded Systems from BMS college of engineering,VTU Karnataka, India. pursuing PhD in Biomedical signal Processing at Visvesvaraya Technological University. Area of interest is Analog Electronics, Sensors, communication engineering and Embedded Systems. Having 20 years of teaching experience in technical institutes of VTU.

Currently working as Assistant Professor in Department of Electronics and Communication Engineering, RNS Institute of Technology, Bangalore, India. published many PATENTS, TEXTBOOKS and international journals /conference papers.

Employment

• BGS college of engineering and technology (BGSCET) Professor
  2026 - Present
• RNS Institute of Technology Professor
  2011 - 2026

Education

• IIIT Una PG certification in AI and ML
  2024 - 2025
• RV College of Engineering PHD
  2016 - 2022
• Karnataka State Open University MBA
  2012 - 2014
• RV College of Engineering BE
  1997 - 2021

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• A machine learning based power load prediction system for smart grid energy management
  International Conference on Recent Advances in Science and Engineering Technology, ICRASET 2023 2023 DOI: 10.1109/ICRASET59632.2023.10420183
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• An IoT-Based System for Managing and Monitoring Smart Irrigation through Mobile Integration
  Journal of Machine and Computing 2023 DOI: 10.53759/7669/jmc202303018
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• Analyzing the Effect of Uncertainty in Low Power SRAM Cells Using Artificial Intelligence Technique
  Journal of Uncertain Systems 2023 DOI: 10.1142/S1752890922420016
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• Energy Conservation in Wireless Body Area Network Using Optimal Route Selection and Node Configuration
  2023 International Conference on Data Science and Network Security, ICDSNS 2023 2023 DOI: 10.1109/ICDSNS58469.2023.10245674
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• HEXABENZOCORONENE: A MATERIAL WITH GREAT POTENTIAL FOR ECO-FRIENDLY, HIGH-PERFORMANCE OPTOELECTRONIC DEVICES
  Oxidation Communications 2023
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• Machine learning and Image Processing Techniques used for Development of Fasteners Sorting System
  International Journal of Intelligent Systems and Applications in Engineering 2023
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• Retraction Note: Recognition of autism in children via electroencephalogram behaviour using particle swarm optimization based ANFIS classifier (Multimedia Tools and Applications, (2020), 79, 13-14, (8747-8766), 10.1007/s11042-018-6290-0)
  Multimedia Tools and Applications 2023 DOI: 10.1007/s11042-023-15842-8
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• IoT based Patients Monitoring System in Healthcare Service
  International Conference on Automation, Computing and Renewable Systems, ICACRS 2022 - Proceedings 2022 DOI: 10.1109/ICACRS55517.2022.10029295
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