Dr. Mohamed Abdelkader is currently working as a senior researcher in the Robotics & Internet of Things Lab at Prince Sultan University, Riyadh, KSA, where he leads multiple R&D projects related to autonomous delivery drones, and autonomous drone hunting systems. Abdelkader is also a founding member and technical consultant of Systemtrio, a startup in Abu Dhabi, UAE, where he leads projects related to the development of autonomous robotics solutions including a UAV swarm systems for security and surveillance. Prior to joining Systemtrio, Abdelkader held a Senior UAV Swarm Engineer position in Algorythma, Abu Dhabi, the UAE, where he led projects related to the development of a UAV swarm system for autonomous exploration applications. He also worked as a Lab Scientist in the Research & Development Center of Saudi Oil & Gas Company (Aramco) where he contributed to the development of intelligent industrial inspection robots and co-authored more than 12 patent applications. Abdelkader obtained his Ph.D. in Mechanical Engineering from King Abdullah University of Science & Technology (KAUST) where his research work focused on developing real-time distributed autonomous multi-robot systems for pursuit-evasion applications which was demonstrated by a real multi-drone system. Abdelkader’s main research works are in the development of AI-powered swarm robotic systems, and safe autonomous navigation. Abdelkader is affiliated with the IEEE Robotics and Automation Society and a reviewer in several robotics conferences and journals including ICUAS, IROS, JINT, and IEEE RA-L.
Anis Koubaa is a Professor in Computer Science, Director of the Research and Initiatives Center, Aide-to-the President of Research Governance, and Leader of the Robotics and Internet of Things Research Lab, at Prince Sultan University. He is also a Senior Researcher in CISTER/INESC TEC and ISEP-IPP, Porto, Portugal. He is also a Senior Fellow of the Higher Education Academy (HEA) in the UK. He received several distinctions and awards including the Rector Research Award in 2010 at Al-Imam Mohamed bin Saud University, and the Rector Teaching Award in 2016 at Prince Sultan University. According to the study carried out in Houcemeddine Turki, “Leading Tunisian Scientists in Mathematics, Computer Science and Engineering. An Overview” in GRIN Verlag, November 2105, he was ranked the 23rd most leading Tunisian scientists in the three areas combined of Mathematics, Computer Science and Engineering and the 6th scientist in the computer science discipline among all Tunisian scientists worldwide, as of 2014. He is also in the list of the Stanford 2% carriere-based top researchers. He is also the author of ten books with Springer on robots, sensor networks and Robot Operating Systems (ROS). He has been also actively participating in program committees of several international conferences including, ACM/IEEE International Conference on Cyber-Physical Systems, International Conference on Robotics Computing, European Conference on Wireless Sensor Networks, IEEE International Conference on Autonomous Robot Systems and Competitions, IEEE International Workshop on Factory Communication Systems. He is the author of more than 230 journal and conference publications, and one patent. He received several research grants as principal investigator, and he established research collaboration between Prince Sultan University and Gaitech Robotics for the development of robots and drones, and ROS. His current research deals with providing solutions towards the integration of robots and drones into the Internet of Things (IoT) and clouds, in the context of cloud robotics. He has developed several real-world applications and prototypes such as Dronemap Planner, a cloud-based management system for drones and robots, and ROSLink, which is a messaging protocol for integration of Robot Operating System with the IoT. His research interests also include Robot Operating System (ROS), Robotic Software Engineering, Wireless communication for the IoT, real-time communication, safety and security for cloud robotics, intelligent algorithms’ design for mobile robots, and multi-robot task allocation.
The objective of this book is to provide a unique reference to the readers about the applications of unmanned aerial vehicles. While there are several books on unmanned aerial vehicles in the literature, this topic is one of the most fast growing and emerging technologies nowadays. For this reason, our goal is to provide an up-to-date reference about latest accomplishments and trends related to unmanned aerial systems and their applications. The book will aim to focus on the real-world applications and their challenges and how unmanned systems have enabled a new market trend, in several areas, such as surveillance, defense, agriculture, surveying, logistics and delivery, to name a few.
Suggested topics include (but are not limited to) the following methods: