Ehsan Naderi
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Southern Illinois University Carbondale (2020–2023); Razi University (2016–2020); Sharif University of Technology (2008); Tarbiat Modares University (2010–2012); Ilam University (2010–2012)
Faculty Researcher
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Ehsan Naderi's research focuses on power systems, particularly in the areas of renewable energy integration, cyberattack mitigation, and power flow optimization. His work has addressed the challenges posed by fluctuating power from hybrid renewable energy sources through the development and experimental validation of hybrid storage frameworks. Naderi has also investigated optimal active and reactive power flow, employing evolutionary algorithms and fuzzy logic for enhanced control and incorporating flexible AC transmission systems.
A significant portion of Naderi's recent publications addresses the critical issue of cybersecurity in smart power systems. He has developed remedial action frameworks and deep learning approaches to identify and counter cyberattacks, such as false data injection, targeting energy hubs and microgrids. His research in this area includes hardware-in-the-loop experimental validation to test the efficacy of these countermeasures in lab-scale microgrid environments.
Naderi holds an h-index of 23 with over 2,100 citations across his 71 publications. He leads a research group at Arkansas State University and collaborates with researchers such as Partho Das Neer.
Metrics
- h-index: 24
- Publications: 71
- Citations: 2,147
Selected Publications
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AI-Driven Automatic Fault Detection and Classification in Smart Microgrids (2026)
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Quantum-Accelerated Digital Twins for Cyber-Resilient Smart Power Systems Against False Data Injection Cyberattacks Using Bitcoin-Mining-Based Virtual Energy Storage Framework for Voltage Restoration (2026)
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Reimagining Bitcoin Mining as a Virtual Energy Storage Mechanism in Grid Modernization: Enhancing Security, Sustainability, and Resilience of Smart Cities Against False Data Injection Cyberattacks (2026)
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Smart Power for a Sustainable Future: Design and Performance Analysis of a Hybrid Renewable Energy Microgrid for Arkansas State University’s Engineering College (2025)
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Securing the future: Integrating quantum computing and digital twin technologies into modern power & transportation systems for resilient smart cities against false data injection cyberattacks (2025)
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Impact of Phase Current Sequencing in Machine Learning Models for Induction Motor Fault Detection (2025)
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Intelligent Remedial Action Scheme Against False Data Injection Cyberattacks Targeting Energy Justice and Equity in Modern Power Systems (2025)
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A Hybrid ML-Digital Twin Framework for Differentiating Cyberattacks from Legitimate Price Fluctuations in Electricity Markets (2025)
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Digital Twin-Enabled Resilient Network Reconfiguration for Cybersecurity of Decarbonized Power Distribution Systems (2025)
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A Remediation Framework Against False Data Injection Cyberattacks Targeting ULTC Transformers to Avoid Voltage Collapse in Smart Distribution Networks (2025)
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Mitigating Voltage Violations in Smart City Microgrids Under Coordinated False Data Injection Cyberattacks: Simulation and Experimental Insights (2025)
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Design of a Standalone Hybrid Renewable Energy System - A Hospital in Lafayette, Indiana, USA (2024)
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A Remedial Action Scheme Against False Data Injection Cyberattacks Targeting ULTC Transformers in Smart Distribution Systems (2024)
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Cyber-Physical Distribution Systems Resilience Against Cyberattacks via a Remediation Framework Based on Static VAR Compensators (SVCs) (2024)
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False Data Injection Cyberattacks Targeting Electric Vehicles in Smart Power Distribution Systems (2024)
Collaboration Network
Top Collaborators
- A Remedial Action Scheme To Mitigate Market Power Caused by Cyberattacks Targeting a Smart Distribution System
- Cyber-Physical Distribution Systems Resilience Against Cyberattacks via a Remediation Framework Based on Static VAR Compensators (SVCs)
- Mitigating Voltage Violations in Smart City Microgrids Under Coordinated False Data Injection Cyberattacks: Simulation and Experimental Insights
- False Data Injection Cyberattacks Targeting Electric Vehicles in Smart Power Distribution Systems
- Stealthy False Data Injection Cyberattack Targeting Under Load Tap Changing Transformers in Smart Power Grid Causing Abnormal Voltage Profile
Showing 5 of 11 shared publications
- False Data Injection Cyberattacks Targeting Electric Vehicles in Smart Power Distribution Systems
- A Remedial Action Scheme Against False Data Injection Cyberattacks Targeting ULTC Transformers in Smart Distribution Systems
- Design of a Standalone Hybrid Renewable Energy System - A Hospital in Lafayette, Indiana, USA
- A Hybrid ML-Digital Twin Framework for Differentiating Cyberattacks from Legitimate Price Fluctuations in Electricity Markets
- Impact of Phase Current Sequencing in Machine Learning Models for Induction Motor Fault Detection
- Load Factor Improvement of the Electricity Grid Considering Distributed Energy Resources Operation and Regulation of Peak Load
- Optimal strategy to reduce energy waste in an electricity distribution network through direct/indirect bulk load control
- Load Factor Improvement of the Electricity Grid Considering Distributed Energy Resources Operation and Regulation of Peak Load
- Optimal strategy to reduce energy waste in an electricity distribution network through direct/indirect bulk load control
- Load Factor Improvement of the Electricity Grid Considering Distributed Energy Resources Operation and Regulation of Peak Load
- Load Factor Improvement of the Electricity Grid Considering Distributed Energy Resources Operation and Regulation of Peak Load
- Load Factor Improvement of the Electricity Grid Considering Distributed Energy Resources Operation and Regulation of Peak Load
- Optimal strategy to reduce energy waste in an electricity distribution network through direct/indirect bulk load control
- Design of a Standalone Hybrid Renewable Energy System - A Hospital in Lafayette, Indiana, USA
- Digital Twin-Enabled Resilient Network Reconfiguration for Cybersecurity of Decarbonized Power Distribution Systems
- A Hybrid ML-Digital Twin Framework for Differentiating Cyberattacks from Legitimate Price Fluctuations in Electricity Markets
- Impact of Phase Current Sequencing in Machine Learning Models for Induction Motor Fault Detection
- Impact of Phase Current Sequencing in Machine Learning Models for Induction Motor Fault Detection
- Smart Power for a Sustainable Future: Design and Performance Analysis of a Hybrid Renewable Energy Microgrid for Arkansas State University’s Engineering College
- AI-Driven Automatic Fault Detection and Classification in Smart Microgrids
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