MRINAL KANTI RAJAK

About

Mrinal Kanti Rajak received the B.Tech. degree in Electrical and Electronics Engineering in 2015 and the M.Tech. degree in Electrical Engineering in 2020 from the National Institute of Technology Arunachal Pradesh, India. He completed his Ph.D. in Electrical Engineering from the same institute, with research focused on grid integration of renewable energy systems. His doctoral research was supported by a fellowship from the Ministry of Education, Government of India.

From 2016 to 2018, he worked as a Site Engineer with Larsen & Toubro (L&T) under the Delhi Metro Rail Corporation, contributing to the Delhi Metro Project (Phase II), where he was involved in electrical installation, commissioning, and project coordination activities.

He is currently serving as an Assistant Professor in the Department of Electrical Engineering at SVERI's College of Engineering, Pandharpur, Maharashtra, India.

His research interests include grid connection and parallel operation of induction generators (IG) in micro-hydro and wind energy systems, advanced power electronic converters for renewable energy integration, grid-forming and grid-following inverter control strategies, and the application of artificial intelligence and reinforcement learning techniques in power electronic systems and smart grids.

Employment

• SVERI's College Of Engineering, Pandharpur Assistant Professor
  2025 - Present

Education

• National Institute of Technology Arunachal Pradesh Ph.D.
  2020 - 2025
• National Institute of Technology Arunachal Pradesh M.Tech.
  2018 - 2020
• National Institute of Technology Arunachal Pradesh B.Tech.
  2010 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (23)

• Design of a modified electronic load controller using hybrid optimization for reliable SEIG-based microhydro electrification
  Engineering Research Express 2026 DOI: 10.1088/2631-8695/aea1e6
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• An intelligent reflecting surface–assisted semantic communication architecture for 6G networks with hippopotamus–differential evolution optimized resource allocation
  Scientific Reports 2026 DOI: 10.1038/s41598-026-66457-6
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• Optimal slip coordination of parallel grid-connected induction generators using hybrid PSO-GWO with experimental validation for micro-hydro power plants
  Physica Scripta 2026 DOI: 10.1088/1402-4896/ae8d9f
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• Securing the modern power grid with hybrid deep learning against cyber threats in renewable-integrated smart grids
  Scientific Reports 2026 DOI: 10.1038/s41598-026-64416-9
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• Optimal capacitor value calculation for self excited induction generators using hybrid grey wolf differential evolution optimization with experimental validation
  Scientific Reports 2026 DOI: 10.1038/s41598-026-62604-1
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• Stacking ensemble learning for PCC voltage prediction in SEIG-ELC based off-grid micro-hydro systems
  Scientific Reports 2026 DOI: 10.1038/s41598-026-61776-0
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• Intelligent prediction of transient power quality parameters in parallel SEIG-ELC systems for rural micro-hydro applications
  Engineering Research Express 2026 DOI: 10.1088/2631-8695/ae8749
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• Real-time adaptive control of grid-forming inverters using attention-based reinforcement learning
  Array 2026 DOI: 10.1016/j.array.2026.100877
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• Parallel operation of induction generators in grid-connected micro-hydro systems
  Ain Shams Engineering Journal 2026 DOI: 10.1016/j.asej.2026.104021
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• Harmonic impact of LPG-to-electric cooking substitution on Indian low-voltage networks and a hybrid GWO–DE tuned active-filter mitigation
  Scientific Reports 2026 DOI: 10.1038/s41598-026-71159-0
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