Wednesday, September 8, 2021: Dr. Adel Ben Mnaouer, Professor, Faculty of Engineering, Applied Science, and Technology, Canadian University Dubai (CUD) hosted a webinar on July 28, 2021, as part of the Distinguished Lectures Series with the Faculty of Engineering at Universiti Teknologi Malaysia (UTM). The topic of the lecture was “A Multi-parametric Clustering Algorithm Design for FANETs” where Dr. Adel proposed a systematic design of a clustering algorithm that addresses the issues of fast mobility of Unmanned Aerial Vehicles (UAVs) and provides safe inter-UAV distance and stable communication while extending network lifetime.
UAVs flying in ad-hoc formation, known as Flying Ad-Hoc Networks (FANETs), are gaining high attention as efficient tools useful in multi-function monitoring applications. The swarm formation puts constraints on the UAVs to ensure their safety and the safety on the ground and requires constant inter-drone network connectivity and a high degree of stability. Smart design of node clustering of a FANET requires careful consideration of the number of UAVs in the vicinity (transmission range), their respective positions, cruising speed and role to ensure an adaptive reliable routing of data. Many new clustering schemes have been proposed to deal with the highly dynamic flying behavior of UAVs and to maintain network stability. However, the presented approach leverages the best of those schemes while avoiding their pitfalls and proposing indispensable features that lead to more accurate design of clustering algorithms.
Dr. Adel Ben Mnaouer received his BSc degree in Computer Science from the “Ecole Supérieure des communications (SUP’COM) of Tunisia in 1985 and the MEng and PhD degrees in Electrical and Computer Engineering from the University of Fukui and from Yokohama National University, Japan, in 1993 and 1997 respectively.
Dr. Ben Mnaouer has served as Associate Professor and Acting Dean (2010–2011) of the College of Computer Engineering and Information Technology, at Dar Al Uloom University, then as a Vice-Dean of research of the same college. He joined the Faculty of Engineering at Canadian University Dubai as an Associate Professor in Sept 2012. Currently, he serves as a Full Professor in the same faculty.
His research interests span areas of protocol design and analysis of wired and wireless networks (wireless sensor networks, wireless body area networks, MANETs and VANETs), internet of things and cyber-physical systems, cybersecurity and blockchain, cluster, grid, and cloud computing.
Dr. Ben Mnaouer is the recipient of four (4) major Qatar National Research Fund (QNRF) projects worth 3.7 million dollars focused on harnessing the power of wireless sensor networks in remote ubiquitous healthcare systems, in Air Quality Control, Structural Health Monitoring, and in developing new communications protocols that are better equipped to serve specific target application fields. He is active in Chairmanship, editorial board, Technical Program Committee (TPC), and organization of scores of top-class international conferences and Symposia. Dr. Ben Mnaouer is also a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE)’s Communication Society.
The Faculty of Engineering, Applied Science, and Technology at CUD offers students a range of dynamic, technology-driven programs based on Canadian curriculum and education principles in the heart of Dubai. Students will gain the hands-on experience they need to excel in the modern business world, in a learning environment where excellence in instruction, mastery of technology, and outstanding opportunities for work placement and research are top priorities.