Research

Research Areas

My research focuses on distributed optimization, cyber-physical energy systems, AI/ML-enabled grid operation, and resilient architectures for modern power systems. My work integrates power system optimization, distributed control, communication-aware architectures, machine learning, and human-centered cyber-physical validation for next-generation electric grids.

Distributed Optimization and Control

Modern power systems increasingly require scalable and resilient optimization architectures capable of coordinating distributed energy resources under communication, computational, and operational constraints. My research develops distributed optimization and feedback-based control algorithms for multiphase unbalanced distribution systems with applications in voltage regulation, DER coordination, and resilient operation.

Current research directions include communication-aware distributed control, accelerated convergence techniques, privacy-preserving architectures, and distributed market coordination.

Representative Publications

• “Distributed Optimization in Distribution Systems: Use Cases, Limitations, and Research Needs,” IEEE Transactions on Power Systems
  IEEE Xplore Link

• “Distributed Voltage Control for Three-Phase Unbalanced Distribution Systems With DERs and Practical Constraints,” IEEE Transactions on Industry Applications
  IEEE Xplore Link

• “Distributed Optimal Voltage Control Considering Latency and Asynchronous Communication for Three Phase Unbalanced Distribution Systems,” IEEE Transactions on Power Systems
  IEEE Xplore Link

DER Coordination and Microgrids

My research investigates coordinated control and energy management strategies for distributed energy resources and microgrids under both grid-connected and islanded operating conditions. The work focuses on scalable architectures for inverter coordination, voltage support, and resilient microgrid operation.

Future research directions include distributed energy management, transactive coordination, and resilient microgrid restoration strategies.

Representative Publications

• “Effective Control and Management Scheme for Isolated and Grid Connected DC Microgrid,” IEEE Transactions on Industry Applications
  IEEE Xplore Link

AI/ML for Power Systems

My research explores the integration of artificial intelligence and machine learning methods for accelerating optimization, improving operational awareness, and enabling scalable grid-edge intelligence in modern power systems. Current work includes physics-informed machine learning, data-driven hyperparameter tuning, and ML-assisted distributed control.

Future directions include trustworthy AI for power systems, physics-aware learning architectures, and distributed intelligence for resilient grid operation.

Representative Publications

• “ML-Assisted Hyperparameter Tuning for Distributed Voltage Control Algorithm in Distribution Systems,” 2025 IEEE Texas Power and Energy Conference (TPEC)
  IEEE Xplore Link

Cyber-Physical Energy Systems

My research develops cyber-physical architectures for distributed monitoring, communication-aware control, and real-time validation of power system applications. This work integrates distributed optimization, communication infrastructure, hardware-in-the-loop validation, and operator-centered decision support systems.

Current efforts focus on resilient edge intelligence, secure distributed architectures, and communication-aware control for modern distribution grids.

Representative Publications

• “Edge-Driven Distributed Control for Power Distribution: A Real-Time Hardware-in-the-Loop Testbed for Industrial Automation and Applications,” IEEE Transactions on Industry Applications
  IEEE Xplore Link

Human-in-the-Loop and Cognitive Systems

My research also investigates human decision-making and operator cognition in cyber-power systems through human-in-the-loop experimentation, eye-tracking, and physiological sensing. The goal is to improve operator awareness, resilience, and decision-support mechanisms during cyber-physical disturbances.

This interdisciplinary work bridges power systems, cyber-physical infrastructure, and cognitive science.

Representative Publications

• “Augmenting Decision-Making of Human-in-the-Loop Operators for Resilient Cyber-Power Systems,” IEEE Transactions on Industrial Cyber-Physical Systems
  IEEE Xplore Link

Peer-to-Peer Markets in Distribution Grids

My research explores distributed market architectures and peer-to-peer transaction mechanisms for future distribution grids with high DER penetration. The work focuses on scalable coordination mechanisms, distributed pricing strategies, and resilient market participation frameworks for distributed energy resources.

Future directions include transactive energy systems, distributed market optimization, and AI-assisted market coordination.

Representative Publications

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