Rahul Kumar Dubey

Employment

• Bosch Limited Industry Expert
  2018 - Present
• Technische Universiteit Delft Postdoctoral
  2017 - 2018
• ABB (India) Domain Lead
  2016 - 2017
• Indian Institute of Technology Delhi PhD
  2013 - 2016
• Manipal University Assistant Professor
  2012 - 2013
• National Institute of Technology Rourkela M.Tech. (Gate Scholar)
  2010 - 2012

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (50)

• Cost-Aware Detection and Mitigation of Charge Manipulation Attacks in Electric Vehicle Aggregations
  IEEE Transactions on Smart Grid 2026 DOI: 10.1109/TSG.2026.3688930
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• Energy-Closure Framework for Physics-Consistent Electric Vehicle Fleet Estimation
  IEEE Transactions on Transportation Electrification 2026 DOI: 10.1109/TTE.2026.3685211
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• A Risk-Aware and Privacy-Preserving V2G Aggregator for Frequency Regulation Markets
  IEEE Transactions on Smart Grid 2026 DOI: 10.1109/TSG.2026.3712483
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• Physics-Constrained Hybrid TLS-DL-GNN for Robust Admittance Matrix Estimation in Distribution Networks
  2025 DOI: 10.36227/techrxiv.174917987.70426760/v1
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• LLM-Based Operating Systems for Power System Relaying: A New Approach
  2025 DOI: 10.36227/techrxiv.174858202.21079840/v1
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• Deep Learning-Based Islanding Detection Method for Droop-Controlled Grid-Forming Inverters
  IEEE Journal of Emerging and Selected Topics in Industrial Electronics 2025 DOI: 10.1109/JESTIE.2024.3512937
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• Synchro-Squeezing Transform for High-Impedance Fault Detection in Power Distribution Systems
  IEEE Systems Journal 2023 DOI: 10.1109/JSYST.2023.3315958
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• THD-Based Passive Islanding Detection Technique for Droop-Controlled Grid-Forming Inverters
  IEEE Systems Journal 2023 DOI: 10.1109/JSYST.2023.3283265
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• Vehicle telematics: An Internet of Things and Big Data approach
  Artificial Intelligence and Machine Learning for EDGE Computing 2022 DOI: 10.1016/b978-0-12-824054-0.00019-8
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• The integrity of machine learning algorithms against software defect prediction
  Artificial Intelligence and Machine Learning for EDGE Computing 2022 DOI: 10.1016/b978-0-12-824054-0.00027-7
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