Dr. Arun Kumar

About

Dr. Arun Kumar received the B.Tech. degree in Electrical Engineering from the National Institute of Technology (NIT) Kurukshetra, India, in 2019, the M.Tech. degree in Renewable Energy Systems from NIT Kurukshetra, India, in 2022, and the Ph.D. degree in Electrical Engineering from the Indian Institute of Technology (IIT) Jodhpur, India, in 2026.

During his doctoral studies, he was a recipient of the Director's Fellowship and the Distinguished Doctoral Research Excellence Award, EMML, at IIT Jodhpur. He is currently a Postdoctoral Research Associate at Yonsei University, Seoul, South Korea.

His research interests include digital twin technologies, artificial intelligence-driven monitoring and control, power electronic converters, renewable energy systems, smart grids, and data-driven modeling of cyber-physical energy systems. His current research focuses on developing intelligent and reliable solutions for next-generation sustainable energy infrastructures.

Employment

• Yonsei University Postdoctoral Research Associate
  2026 - Present

Education

• Indian Institute of Technology Jodhpur Ph.D.
  2022 - 2026
• National Institute of Technology Kurukshetra B.Tech.
  2015 - 2019

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• SYSTEM AND METHOD FOR DATA-DRIVEN DIGITAL TWIN FRAMEWORK FOR TWO-STAGE SINGLE-PHASE GRID-CONNECTED SOLAR PHOTOVOLTAIC SYSTEMS
  IN 2026
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• YSTEM AND METHOD FOR REAL-TIME DIGITAL TWIN OPERATION OF TWO-STAGE SINGLE-PHASE GRID-CONNECTED SOLAR PHOTOVOLTAIC INVERTER
  IN 2026
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• Digital Twin Framework for 1-Phase Grid-Tied PV System: A Frequency Domain Modeling and E2FD-HO-Based Approach for Power Electronic Circuits
  IEEE Transactions on Circuits and Systems I: Regular Papers 2026 DOI: 10.1109/TCSI.2025.3599209
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• Digital Twin Development for Two-Stage Single-Phase Grid-Tied Solar Photovoltaic System: Using AMSA and LCOGI Based Control Technique
  IEEE Transactions on Industrial Electronics 2026 DOI: 10.1109/TIE.2025.3598213
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• Consumer-Oriented Stability Augmentation of 2-Stage 1-Phase Solar PV Systems Using Digital Twin
  IEEE Transactions on Consumer Electronics 2026 DOI: 10.1109/TCE.2026.3675900
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• Data-Driven Digital Twin for Real-Time State Prediction and Stability Assessment in Two-Stage Single-Phase Grid-Connected Photovoltaic Inverters
  IEEE Journal of Emerging and Selected Topics in Industrial Electronics 2026 DOI: 10.1109/jestie.2026.3695906
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• System Modeling-Based Verification of Datasets for Reliable Data-Driven Digital Twin Development in Grid-Connected Solar Photovoltaic Inverter
  IEEE Transactions on Reliability 2026 DOI: 10.1109/TR.2026.3701974
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• Data-Driven Black-Box Digital Twin for Real-Time Degradation and Failure Prediction
  2025 IEEE 4th International Conference on Smart Technologies for Power, Energy and Control (STPEC) 2025 DOI: 10.1109/stpec66316.2025.11490532
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• Real-Time Assessment of Grid-Tied Black-Box Inverter: Using Data-Driven Digital Twin
  2025 IEEE 4th International Conference on Smart Technologies for Power, Energy and Control (STPEC) 2025 DOI: 10.1109/stpec66316.2025.11490893
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• Single-Phase Two-Stage Grid Integrated Solar PV System With OSO-AI Control and PSPO MPPT
  IEEE Transactions on Industry Applications 2025 DOI: 10.1109/TIA.2025.3584292
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