I am an academic researcher specialising in autonomous robotics, unmanned aerial vehicles (UAVs), swarm intelligence, and AI-driven control and localisation systems. My expertise lies in developing robust control algorithms, RSSI-based and wireless localisation techniques, and learning-enabled coordination strategies for multi-agent systems operating in complex and GPS-denied environments. I have held research positions at Aarhus University (Denmark) and King Fahd University of Petroleum and Minerals (Saudi Arabia), collaborating on internationally funded projects related to intelligent robotics and aerial systems. My work combines strong theoretical foundations with practical hardware validation on embedded platforms, resulting in high-impact publications, patents, and real-world UAV deployments. I am also actively engaged in teaching, student supervision, and global research collaboration, contributing to the advancement of reliable, scalable, and human-centred autonomous systems.

My research focuses on autonomous robotic systems with an emphasis on UAVs, swarm intelligence, and AI-driven control and localisation in complex and GPS-denied environments. I work at the intersection of robotics, artificial intelligence, and wireless sensing, developing robust control strategies, RSSI-based localisation methods, and learning-enabled algorithms for multi-agent coordination. My experience spans theoretical modelling, algorithm design, and real-world validation on embedded platforms, including UAV swarms and low-power IoT devices. Through my work, I aim to advance reliable, scalable, and energy-efficient autonomous systems for applications in smart infrastructure, surveillance, and human-centered robotics.

I have taught and contributed to courses focused on unmanned aerial vehicles (UAVs), autonomous systems, and emerging drone technologies, with particular emphasis on both theoretical foundations and real-world applications. Notably, I have delivered the course “Future Trends in Drones and Applications (AE578)”, covering topics such as UAV platforms, flight dynamics, autonomous navigation, swarm robotics, AI-enabled perception, wireless communication for drones, and regulatory and industrial use cases aligned with Vision 2030. My teaching approach integrates current research, simulations, and project-based learning, enabling students to gain hands-on experience with UAV control, sensing, and intelligent decision-making. In addition, I have mentored undergraduate, postgraduate, and PhD students on UAV-related research projects, guiding them from concept development to publication-quality outcomes.

My academic and research activities involve extensive international collaboration across Europe, the Middle East, and Asia. I have worked closely with leading institutions such as Aarhus University (Denmark), King Fahd University of Petroleum and Minerals (Saudi Arabia), Liverpool John Moores University (UK), and Universiti Teknologi PETRONAS (Malaysia) on projects spanning UAV autonomy, swarm intelligence, intelligent control, and wireless localisation. These collaborations have resulted in joint publications, co-supervision of postgraduate researchers, and interdisciplinary research integrating robotics, artificial intelligence, and communication systems. Through sustained engagement with global research teams, I have contributed to the exchange of knowledge, access to advanced research infrastructure, and the development of scalable autonomous technologies with international impact.

My consultancy activities are rooted in my research on autonomous UAVs, swarm robotics, and AI-based localisation and control, where I advise academic and industry partners on the design, optimisation, and real-world deployment of intelligent robotic systems in GPS-denied and safety-critical environments, translating advanced research outcomes into scalable practical solutions.

At Aarhus University, I am engaged as a researcher in the Artificial Intelligence in Robotics Laboratory (AiR Lab), where my work focuses on advancing autonomous UAV systems, swarm intelligence, and AI-driven localisation and control. I conduct research on robust algorithms for GPS-denied environments, including RSSI-based localisation, multi-agent coordination, and learning-enabled control strategies, with an emphasis on real-world validation using embedded platforms. My role also involves collaborating with international researchers, contributing to high-impact publications, and supporting the development of scalable autonomous robotic solutions for industrial and societal applications.