العربية
中文
русский
Français- Home
- Teaching
- Faculties
- School of Engineering Staff Profiles
- Dr Obada Al Khatib
Dr Obada Al-Khatib is an Associate Professor at the University of Wollongong in Dubai (UOWD). His research interests span wireless communications, the Internet of Things (IoT), artificial intelligence, and cybersecurity, with applications in smart cities and intelligent infrastructure. He holds a PhD in Electrical and Information Engineering from the University of Sydney, Australia, where his research focused on modelling and performance analysis of wireless communication systems for smart grid applications.
Dr Al-Khatib’s teaching spans engineering and digital transformation, including IoT and cloud computing. He adopts a student-centred approach that combines technical foundations with practical applications through hands-on activities, collaborative projects, and discussion. His teaching philosophy emphasises intellectual curiosity, critical thinking, independent learning, and professional responsibility. Through teaching and mentorship, he aims to build students’ confidence and equip them to apply their knowledge to real-world challenges.
Before joining UOWD in 2016, Dr Al-Khatib was a Research Associate at the University of Sydney, where he also worked as a tutor and laboratory demonstrator in Radio Frequency Engineering and Wireless Engineering. His earlier industry experience includes working as an Electrical Engineer with Consolidated Contractors International Company in Qatar.
- PhD, Electrical and Information Engineering, The University of Sydney
- Master of Engineering, Communication and Computer Engineering, The National University of Malaysia (UKM)
- Master of Education (Higher Education), University of Wollongong Australia
- B.Sc. Electrical Engineering, Qatar University
O. Al-Khatib, M. Nassereddine, “Topology-Aware IoT-Enabled online grounding safety-State estimation for converter-Rich Data-Center power networks,” Electric Power Systems Research, Volume 265, Part B, 2027, 114044, https://doi.org/10.1016/j.epsr.2026.114044.
Mahmoud Kakouri, Obada Al-Khatib, Faisel Tubbal, Raad Raad, Wajid Ali Khan, “Large-Scale Measurement-Driven characterization of outdoor ambient RF power in Dubai for Battery-Free IoT and RF Energy-Harvesting planning,” Sustainable Energy Technologies and Assessments, Volume 93, 2026, 105362, https://doi.org/10.1016/j.seta.2026.105362.
M. Nassereddine, A. Hellany, O. Al-Khatib, G. Nassreddine, “Hybrid deep learning approaches for photovoltaic fault detection: From supervised CNNs to self-supervised masked autoencoders,” Computers and Electrical Engineering, Volume 139, Part C, 2026, 111478, https://doi.org/10.1016/j.compeleceng.2026.111478.
N. Alagha and O. Al-Khatib, "Pursuit learning algorithm to minimize delay and energy consumption in vehicular-edge computing networks," Wireless Networks, vol. 31, pp. 601–612, 2025. doi: 10.1007/s11276-024-03775-5.
G. Nassreddine, M. Nassereddine, and O. Al-Khatib, "Ensemble learning for network intrusion detection based on correlation and embedded feature selection techniques," Computers, vol. 14, no. 82, pp. 1-23, 2025. doi: 10.3390/computers14030082.
N. Raharya, W. Hardjawana, O. Al-Khatib and B. Vucetic, "Pursuit Learning-Based Joint Pilot Allocation and Multi-Base Station Association in a Distributed Massive MIMO Network," in IEEE Access, vol. 8, pp. 58898-58911, 2020, doi: 10.1109/ACCESS.2020.2982974.
O. Al-Khatib, W. Hardjawana and B. Vucetic, "Spectrum Sharing in Multi-Tenant 5G Cellular Networks: Modeling and Planning," in IEEE Access, vol. 7, pp. 1602-1616, 2019, doi: 10.1109/ACCESS.2018.2886447.
S. Abraham, O. Al-Khatib, and M.F. Abdul Malek, “Energy-efficient and delay-aware mobile cloud offloading over cellular networks,” in Telecommunication Systems, vol. 73, pp. 131–142, 2020, https://doi.org/10.1007/s11235-019-00585-5.
N. Raharya, W. Hardjawana, O. Al-Khatib and B. Vucetic, "Multi-BS association and Pilot Allocation via Pursuit Learning," 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea (South), 2020, pp. 1-6, doi: 10.1109/WCNC45663.2020.9120561.
Dr Al-Khatib’s research focuses on the Internet of Things (IoT), artificial intelligence (AI), and intelligent systems for smart cities, autonomous systems, and critical infrastructure. His work spans wireless communications, energy-efficient devices and systems, vehicular networking, machine learning for network optimisation and cybersecurity, and AI-based monitoring and fault detection in connected and cyber-physical systems.
Research Grants
Dubai RDI Fund: 2025
Project: “Rectenna Designs for Wirelessly Powering IoT Devices in Smart Cities.”
Internal Research Grants – Established Researchers Scheme: June 2025
Project: “Bridging Grid Stability and Security: A Unified AI Middleware for Predictive Load Control and Cyber Threat Mitigation.”
Multiple UOWD Internal Grants: 2018 – 2025
Four grants across topics including machine learning and deep learning for intrusion detection in vehicular ad hoc networks (VANETs), early detection of Parkinson’s disease, and Ecopia Farm.
Dr Al Khatib is a member of Institute of Electrical and Information Engineering (IEEE), member of IEEE power and Energy Society (PES), member of IEEE communication Society (ComSoc), and member of Engineers Australia.
- Communication Systems
- Digital Signal Processing
- Internet of Things
- Image Processing for Autonomous Systems
- Digital Hardware
- Microcontroller Architecture and Applications
- Cloud Foundations and Architecting
Open Day
Attend our Open Day on Saturday, 31 October 2026.
Join our experts to learn more about our degrees and how you can enrol at UOWD.