Research

✧   Sustainable Energy and Electric Mobility Technology

Advanced, data-driven design and control of power electronic converters with emphasis on model predictive control (MPC) for:

• Renewable Energy Grid-Integration: Solar PV systems, wind energy, energy storage solutions, microgrids, medium-voltage DC (MVDC) systems, and grid-forming/following converter technologies
• Electric Mobility: Electric vehicles (EVs), EV charging systems (on-board chargers, vehicle-to-grid, and wireless charging), and related power conversion technologies
• Electric Drives and Propulsion: Control of permanent magnet synchronous motors (PMSM), induction motors (IM), and traction systems for sustainable transportation

✧   Machine Learning for Cyber-Security, Optimal Control, and Energy Management

Application of artificial intelligence and machine learning techniques for:

• Cyber-Security: Anomaly detection and mitigation for converter-based electrical grids and EV charging infrastructure
• Optimal Control: Reinforcement learning-driven adaptive control strategies for microgrids and distributed energy resources
• Energy Management: Data-driven management and optimization of inverter-based resources in smart electrical power grids
• Resilience: Trustworthy and explainable AI solutions for resilient grid operations under cyberattacks