1. Research Vision
The design and operation of modern power grids are fundamentally transforming as the global transition toward carbon-neutral energy systems unfolds. Future electrical power systems will be increasingly dominated by renewable energy sources, power electronic converters, distributed energy resources, intelligent communication networks, and artificial intelligence. While these technologies provide unprecedented opportunities for sustainable electricity generation, they also introduce significant challenges related to system stability, resilience, security, and operational reliability.
My long-term research vision is to develop intelligent, resilient, and secure power systems that combine advanced control theory, power electronics, artificial intelligence, and digital technologies to enable the next generation of sustainable energy infrastructure. My research integrates rigorous mathematical analysis with practical engineering implementation, bridging the gap between theoretical developments and industrial applications.
Throughout my academic career, my work has focused on developing new methodologies for nonlinear modelling, stability analysis, robust control, and intelligent optimisation of renewable-energy systems. More recently, my research has expanded toward AI-powered digital twins, cloud-enabled control systems, grid-forming converters, and cyber-physical energy systems, addressing critical challenges associated with future inverter-dominated power grids. Working at the Technical University of Denmark has strengthened my commitment to interdisciplinary research that combines electrical engineering, computer science, artificial intelligence, and data-driven modelling. My objective is to contribute fundamental scientific advances while developing technologies that accelerate the global transition toward resilient, intelligent, and carbon-neutral energy systems.
2. Research Achievements and Academic Impact
Over the past fifteen years, my research has focused on advancing the theory and application of intelligent control, power electronics, renewable energy systems, and cyber-physical power systems. My work bridges fundamental control theory with practical engineering challenges arising from the global transition toward sustainable and intelligent energy infrastructures. I have pursued interdisciplinary research that combines nonlinear systems theory, power electronics, artificial intelligence, communication networks, and renewable energy integration to develop robust and scalable solutions for modern electrical power systems.
My research has resulted in an extensive publication record in leading international journals and conferences spanning electrical power engineering, control systems, renewable energy, and power electronics. These contributions have established a strong international research profile and have attracted increasing attention from both academia and industry. My work has been widely cited by researchers working in power systems, networked control systems, microgrids, renewable energy integration, and intelligent energy management, demonstrating its scientific relevance and practical impact.
A major characteristic of my research is the integration of rigorous mathematical analysis with engineering implementation. Rather than addressing isolated theoretical problems, I aim to develop analytical methods that can be directly applied to emerging energy technologies. This philosophy has led to contributions in several interconnected research areas, including Lyapunov-based stability analysis, robust control of time-delay systems, renewable energy integration, intelligent power electronic converters, and, more recently, artificial intelligence for power system modelling and operation.
Throughout my academic career, I have collaborated with researchers from Europe, Asia, and the Middle East, contributing to multidisciplinary projects that combine control engineering, power electronics, machine learning, and sustainable energy technologies. These collaborations have broadened the impact of my research and enabled the translation of theoretical developments into practical engineering applications.
In parallel with my research activities, I have supervised undergraduate and postgraduate research projects and contributed to the development of new educational programmes in electrical engineering. My current role as Associate Professor and Head of Studies at the Technical University of Denmark provides a unique opportunity to integrate research excellence with educational innovation, ensuring that emerging technologies in artificial intelligence, renewable energy, and intelligent power systems are reflected in modern engineering education.
My research has evolved naturally over time. Beginning with nonlinear control and time-delay systems, it expanded into networked control systems and renewable energy integration, and then progressed to intelligent power electronic systems and AI-assisted modelling. Today, my research is centred on four closely connected themes:
Intelligent Control and Stability of Future Power Systems
Power Electronics and Grid-Forming Converter Technologies
Artificial Intelligence and Digital Twins for Energy Systems
Renewable Energy Integration and Sustainable Electrical Power Networks
My long-term research vision is to develop intelligent, resilient, and sustainable cyber-physical energy systems by integrating advanced control theory, power electronics, artificial intelligence, and digital technologies.
3. Research Impact Summary
My publication record demonstrates sustained international visibility and research impact. According to Google Scholar, my research has resulted in 146 publications, receiving approximately 1,900 citations with an H-index of 26. My contributions are also recognised in major academic databases, including Scopus (110 publications, 1,129 citations, H-index 18) and Web of Science (91 publications, 648 citations, H-index 16). These metrics reflect the international recognition of my research contributions and the continued influence of my work within the global electrical engineering research community.
4. Industrial Collaboration and Research Grants
My research has involved close collaboration with industry partners and applied research projects addressing emerging challenges in power electronics, energy storage, renewable energy integration, and sustainable energy systems. These collaborations have enabled the translation of fundamental research outcomes into practical solutions for modern energy infrastructures.
Selected industrial collaborations and research projects include:
GaN-Based DC–DC Converter for UPS Applications – In collaboration with Schneider Electric, developing advanced power electronic converter solutions based on gallium nitride (GaN) semiconductor technology to improve efficiency, power density, and performance of uninterruptible power supply (UPS) systems.
Viability Assessment of Li-ion Batteries for Provision of Ancillary Services – In collaboration with Rambol, investigating the technical and operational potential of battery energy storage systems for supporting grid stability through ancillary services.
Grid Connection and Ancillary Services from Gravity Energy Storage Systems – In collaboration with Rambol and Gravitricity (UK), evaluating the integration of gravity-based energy storage technologies into future power systems and their potential contribution to grid flexibility and stability.
Grid-Forming Wind Turbines: Frequency and Voltage Compliance in Weak Offshore AC Grids – In collaboration with Ørsted (Denmark), studying advanced control strategies for grid-forming wind turbines to enhance frequency and voltage stability in future offshore energy systems.
Boosting the Growth of Photovoltaic (PV) Technology in Brunei Darussalam – Investigating strategies for accelerating photovoltaic adoption and supporting renewable energy deployment in emerging energy markets.
Impact of Elevated Atmospheric CO₂ Due to Haze on Nutritional Quality of Leafy Vegetables – Conducting interdisciplinary research on the effects of environmental changes on agricultural sustainability and food quality.
Solar-Powered Smart Indoor Multi-Level Farming System – Developing renewable-energy-driven smart farming solutions integrating solar power, energy management, and sustainable food production technologies.
5, Research Methodology
My research methodology follows an integrated theory-driven and application-oriented approach, bridging advanced mathematical analysis with practical engineering implementation. I developed comprehensive mathematical models of complex electrical energy systems, power electronic converters, and networked control infrastructures, with particular emphasis on nonlinear dynamics, stability analysis, and resilient control. Lyapunov-based methods are employed to establish rigorous stability guarantees and quantify system robustness under uncertainties, delays, and disturbances, while optimisation techniques are used to improve system performance, efficiency, and reliability. The developed theoretical frameworks are validated through extensive simulation studies using industry-standard platforms, including MATLAB/Simulink, PSCAD, and DIgSILENT PowerFactory. To ensure practical relevance, my research extends beyond simulation through hardware-in-the-loop (HIL) testing using real-time simulation platforms such as Speedgoat, enabling validation under realistic operating conditions. This combination of analytical methods, computational tools, and experimental verification provides a complete research pipeline from fundamental theory to real-world deployment, supporting the development of reliable, secure, and intelligent electrical energy systems.
6. Future Research Programme
My future research programme aims to address the fundamental challenges associated with the transition towards intelligent, resilient, and sustainable electrical energy systems. The increasing penetration of renewable energy resources, power electronics-based generation, distributed energy assets, and digital control infrastructures requires new approaches that combine advanced control theory, artificial intelligence, cybersecurity, and experimental validation. Building on my expertise in power electronics, renewable energy integration, nonlinear control, and networked control systems, I will pursue four interconnected research directions.
6.1 AI-Powered Digital Twins for Future Power Systems
Future power systems will require accurate, adaptive, and real-time representations of increasingly complex physical networks. I will develop AI-enhanced digital twin frameworks that combine physics-based modelling with machine learning techniques to enable real-time monitoring, prediction, and optimisation of power system operation. These digital twins will integrate dynamic models of renewable energy resources, power electronic converters, energy storage systems, and grid infrastructures with data-driven algorithms for anomaly detection, predictive maintenance, and optimal decision-making. A key research challenge will be developing hybrid physics-informed AI models that preserve physical constraints while leveraging the adaptability of AI. The proposed research will support more efficient operation, improved reliability, and enhanced flexibility of future low-carbon power systems. For more detailed information, please read the proposal ‘’ AI-Powered Digital Twin for Grid-Forming Inverter’’.
6.2 Resilient and Secure Cloud-Controlled Power Systems
The increasing use of cloud computing, communication networks, and distributed control architectures introduces new opportunities and vulnerabilities for modern energy systems. Building on my research in networked control systems and delay-dependent stability analysis, I will investigate resilient and secure cloud-controlled power systems. This research will develop comprehensive models that capture interactions between physical power systems, communication networks, cloud computing layers, and cybersecurity mechanisms. Advanced nonlinear stability methods, Lyapunov-based analysis, and optimisation techniques will be employed to quantify the impact of communication delays, cyber-attacks, computational constraints, and uncertainties on system performance. Furthermore, AI-based security mechanisms will be explored for early detection and mitigation of cyber threats, enabling the reliable operation of future digitally connected power infrastructures. One of my master's students is doing her project in this area, and a proposal titled RESCUE is under review.
6.3 Nonlinear Stability of Grid-Forming Converter-Dominated Networks
The rapid replacement of conventional synchronous generators with converter-interfaced renewable generation is fundamentally changing power system dynamics. Grid-forming converters are expected to play a critical role in maintaining frequency and voltage stability in future power grids; however, their nonlinear interactions and stability characteristics remain challenging research problems. I will develop advanced nonlinear modelling and stability analysis methods for converter-dominated networks, focusing on small-signal and large-signal stability, dynamic interactions among multiple converters, and operation under weak grid conditions. By combining nonlinear control theory, impedance-based analysis, and optimisation-based control design, this research will contribute to the development of robust grid-forming solutions capable of supporting high penetration of renewable energy while maintaining system security and resilience. A PhD student under my supervision is focusing on the transient stability of grid-forming inverters.
6.4 Sustainable Energy Planning, Renewable Integration, and Decarbonization
My research on sustainable energy systems focuses on enabling the transition to low-carbon electricity networks through the integration of renewable energy, advanced power system control, and intelligent energy planning. This work spans the complete energy value chain, from assessing renewable energy potential and policy frameworks to developing innovative solutions for modern power systems with high renewable penetration. My early research evaluated the technical, economic, and environmental feasibility of solar energy deployment, including photovoltaic-based street lighting and comprehensive assessments of renewable energy opportunities and challenges in Libya, providing strategic insights for sustainable energy policy. More recently, my work has expanded to distributed renewable energy systems, examining residential rooftop photovoltaic integration, the influence of electricity tariff structures on PV adoption and carbon emission reduction, and advanced methodologies for renewable energy planning in Brunei. Collectively, these studies combine mathematical modelling, techno-economic analysis, sustainability assessment, and energy system optimization to address the critical challenges associated with decarbonizing future power systems.