Research Interests
Next-Generation Wireless Communications: Beamforming, user-centric cell-free massive MIMO, reconfigurable intelligent surfaces (RIS/IRS), integrated sensing and communication (ISAC), and B5G/6G systems.
Optimization and Artificial Intelligence: Metaheuristic algorithms, convex optimization, deep learning, reinforcement learning, and model predictive control.
Smart EV Charging and Energy Systems: Intelligent EV charging, mobile charging robots, energy management, demand forecasting, and virtual power plants.
Digital Twin: Cyber-physical modeling, real-time synchronization, state estimation, and Digital-Twin-assisted monitoring and control.
Cybersecurity: Cyberattack detection and mitigation, false data injection, secure communications, data recovery, and cyber-resilient EV charging systems.
Research Projects
Mobile charging robot coordination method based on communication-context awareness and deep reinforcement learning (2026-2027; Role: Principal investigator)
Development of a triboelectric-hydroelectric generator utilizing recycled carbon materials for low-power electronic devices (2026-2027; Role: Key contributor)
Research on power control schemes in cell-free massive MIMO networks (2024-2025; Role: Principal investigator)
Research on solutions for beamforming of antenna arrays using deep learning (2024-2026; Role: Key contributor)
Research on solutions to improve the performance of reconfigurable intelligent surface-aided communication systems (2023-2025; Role: Key contributor)
Development of real-time optimization approaches for next-generation communication systems (2023-2024; Role: Key contributor)
Development of optimum array processing solutions based on nature-inspired algorithms for radar and wireless communication networks (2022-2023; Role: Key contributor)