ANAND R

About

Dr. Anand. R currently serves as a vice director and researcher at Center for Research on Microgrids (CROM), Huanjiang Laboratory, Zhuji, Shaoxing, Zhejiang, China. His research interests encompass Power Electronics, Electrical Drives, Renewable Energy Systems, Soft Computing, Machine Learning, and Blockchain. His expertise lies in areas such as the application of Blockchain Technology in the Energy Internet Market, decentralized energy blockchain, Smart Grid Technology, self-healing microgrids, integration of renewable energy sources, non-linear controllers for microgrid operation, space microgrids, demand response and the security of Advanced Metering Infrastructure. He completed his PhD in Electrical Engineering from Anna University, Chennai. India. He has filed and published four Indian patents and three copyright algorithms. He has 19 years of teaching and research experience. He has published his research works in 2 books, 5 National Conferences, 30 International Conferences and 41 International Journals out of which majority of the papers are indexed in SCI , SCOPUS, and Web of Science. He has been awarded research grants from DRDO - India and VGST, Karnataka, India. He is the Guest editor in Electronics Journal, Bosnia. He is the reviewer for many journals like IEEE, AECS, IGI global publications and JEET. He completed Industrial Consultancy work for Smart Water Management System. He developed low-cost product for local Municipal water indication system. He has Senior membership in professional body like IEEE & IAENG.

Employment

• Huanjiang Laboratory, Zhejiang University Senior Researcher
  2025 - Present
• Amrita Vishwa Vidyapeetham Amrita School of Engineering Bengaluru Associate Professor
  2018 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (37)

• Brain-inspired artificial intelligence for self-healing microgrids: a comprehensive review
  Artificial Intelligence Review 2026 DOI: 10.1007/s10462-026-11635-1
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• Deep Reinforcement Learning for Power Converter Control: A Comprehensive Review of Applications and Challenges
  IEEE Open Journal of Power Electronics 2025 DOI: 10.1109/OJPEL.2025.3619673
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• A Novel Heuristic Algorithm Integrating Battery Digital-Twin-Based State-of-Charge Estimation for Optimized Electric Vehicle Charging
  Electronics 2024 DOI: 10.3390/electronics13224412
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• Securing the Edge: CatBoost Classifier Optimized by the Lyrebird Algorithm to Detect Denial of Service Attacks in Internet of Things-Based Wireless Sensor Networks
  Future Internet 2024 DOI: 10.3390/fi16100381
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• A Novel Blockchain Supported Hybrid Authentication and Handshake Algorithm for Smart Grid
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3505535
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• Comparative analysis of different control strategies in Microgrid
  International Journal of Green Energy 2021 DOI: 10.1080/15435075.2021.1897830
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• Energy Trading in Microgrids using BlockChain Technology
  2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS) 2020 DOI: 10.1109/iciccs48265.2020.9121050
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• Design and analysis of indoor multiband antenna in signal boosting of mobile communication systems
  International Journal of Scientific and Technology Research 2020
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• Global Optimization Algorithm to Solve Economic Load Dispatch Problem Considering Equality and Inequality Constraints
  Lecture Notes in Electrical Engineering 2020 DOI: 10.1007/978-981-15-2256-7_37
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• Internet of Things for Industry 4.0
  EAI/Springer Innovations in Communication and Computing 2020 DOI: 10.1007/978-3-030-32530-5
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