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Murali Narayanamurthy

Lecturer, College of Engineering and Technology · University of technology and applied sciences-nizwa

https://researchid.co/muralibeee6060
@utas.edu.om
2Scopus Publications
97Google Scholar Citations
4Google Scholar h-index
3Google Scholar i10-index

Research Interests

Optimization techniques, AI in Power Electronics and Drives, Electrical Machines Design using Ansys, AI Application of Power Electronics in Power System, AIOT based Renewable Energy Systems and AI Application of Power Electronics in Renewable Energy Systems.

Biography

Passionate, Creative, and certified with 22 years of teaching experience in Accredited institutions with a PhD in Electrical and Electronics Engineering. Zeal to foster holistic teaching and learning, research, technology enriched learning environment for students and training on Electrical Engineering, Power Electronics and drives, and Renewable Energy. Develop and promote high-order thinking skills and engage students in lively discussion with real-time assignments and projects. Facilitate students with employability skills based on the industry demand. Published 22 research papers in international journals and presented 10 papers at international and national conferences.

Education

Ph. D in Electrical & Electronics Engineering, March 2020, SCSVMV University, E&E Engineering M.Tech in Power Electronics & Drives, December 2002, SASTRA University, E&E Engineering B.E in Electrical & Electronics Engineering, May 2001, SCSVMV University, E&E Engineering

Recent Scopus Publications

  1. Implementation of PWM AC chopper controller for capacitor run induction motor drive via bacterial foraging optimization algorithm
    International Journal of Reconfigurable and Embedded Systems, 2020
  2. Enhanced Asymmetrical PWM AC chopper fed capacitor run induction motor drive using Bacterial Foraging Optimization Algorithm
    2018 International Conference on Recent Innovations in Electrical Electronics and Communication Engineering Icrieece 2018, 2018

Research Outputs

Matlab MiPower Power Factory OCTAVE SCILAB Orcad Xilinx, Fusion360 An AI based insulin pen integrated with smart patch for visually impaired person

Grants / Consultancy

Supervised funded project titled “Smart Irrigation using Internet of Things" from The Research Council, Oman. This project was successfully tested on farmland.

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