Dr. Ch. Rami Reddy
VNR Vignana Jyothi Institute of Engineering and Technology, Chonnam National University, National Institute of Technology Srinagar, KL University, Jawaharlal Nehru Technological University Kakinada
About
Dr. Ch. Rami Reddy, received his B. Tech degree in Electrical and Electronics Engineering and M. Tech Degree in Electrical Machines and Drives from Jawaharlal Nehru Technological University Kakinada, Andhra Pradesh, India in 2011 and 2014 respectively. He received Ph.D degree in Electrical and Electronics Engineering from K L University, Andhra Pradesh, India in 2022. He completed Post Doctoral Fellowship from National Institute of Technology, Srinagar in 2023 and from Chonnam National University, South Korea in February 2024. He is currently working as Asst. Prof in Electrical and Electronics Engineering at VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad. He supervised 02 PhD students and currently supervising 03 scholars. His current research interests are Integrated renewable energy systems, Distributed generation, Smart grids, Power electronic converters and their applications to energy systems.
Employment
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VNR Vignana Jyothi Institute of Engineering and Technology Assistant Professor2025 - Present
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Chonnam National University Post Doctoral Fellow2023 - Present
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National Institute of Technology Srinagar Post Doctoral Fellow2022 - 2023
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Malla Reddy Engineering College Associate Professor2022 - 2022
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Malla Reddy Engineering College Assistant Professor2021 - 2022
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Nalanda Institute of Engineering and Techcology Assistant Professor2014 - 2021
Education
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National Institute of Technology Srinagar Post Doctoral Fellow2022 - 2023
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KL University Ph.D2016 - 2022
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Jawaharlal Nehru Technological University Kakinada B. Tech2007 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (156)
- On-Load Configurable Dual Active Bridge Converter for Wide Voltage Range and Multi-Port DC-DC Power Conversion Save
- Integrated Control of EV Battery Chargers for Virtual Inertia and Vehicle-to-Grid Support Using Hybrid Energy Storage Save
- Empowering energy management: anomaly detection in smart meter data for proactive consumption control Save
- Intelligent RBF neural network-based control for dynamic stability and power control in renewable-integrated microgrids Save
- FFO-based controller for 3-phase inverter to reduce power quality problems in PV-integrated microgrid system Save
- Optimizing smart grids with blockchain-driven automation and demand response Save
- Real-time vehicle detection and speed estimation system using Raspberry Pi and camera module Save
- Smart wireless charging architecture for electric vehicles using resonant inductive coupling and low-component design Save
- Quantum Computing for Nanomaterials: Accelerating Material Discovery Save
- Deep-Learning-Based Controller for Parallel DSTATCOM to Improve Power Quality in Distribution System Save