NAMAMI KRISHNA SHARMA
Also known as: N K Sharma
Nagesh Karajagi Orchid College of Engineering and Technology, Rewa Engineering College, University Institute of Technology- RGPV, Shri Ram Institute of Technology, Bhagalpur College of Engineering
About
'Dr. Namami Krishna Sharma' has received the Ph.D. degree in Electrical Eng. and M.E. in Power Systems from University inst. of Technology (UIT-RGPV) Bhopal. He is currently working as an Associate Professor at N.K. Orchid College of Eng. & Technology, Solapur, Maharashtra. His research interests are in the areas of Power system operation, control and planning under uncertain environments, security-constrained optimal power flow, Application of Power electronics to power system, power system optimization, soft computing techniques, voltage stability, and reactive power planning. His research also focuses on improving the reaction time of superchargers for Electric Vehicles via Machine learning.
Employment
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Nagesh Karajagi Orchid College of Engineering and Technology Associate Professor2022 - Present
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Rewa Engineering College Asst. Professor2018 - 2020
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Bhagalpur College of Engineering Assistant Professor2018 - 2018
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UIT-RGPV Assistant Professor2015 - 2017
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National Institute Of Technology Assistant Professor2014 - 2015
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UIT-RGPV Assistant Professor2012 - 2014
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Gyan Ganga Institute of Technology and Management Assistant Professort2010 - 2011
Education
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University Institute of Technology- RGPV Ph.D.2012 - 2017
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University Institute of Technology- RGPV Master of Engineering2008 - 2011
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Shri Ram Institute of Technology Bachelor of Engineering2005 - 2008
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Govt Polytechnic College Diploma2002 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (4)
- Optimal coordination of overcurrent relays in power systems for reliability assessment under the presence of distributed generation using ETAP Save
- Optimal load shedding to improve static voltage stability employing black hole optimization algorithm Save
- Reactive Reserve Management based Voltage Stability Enhancement using Genetic Algorithm Save
- Application of particle swarm optimization technique for reactive power optimization Save