Dr. Omar A. Aldhaibani, is a Senior Lecturer at Liverpool John Moores University (LJMU), possesses a wealth of expertise at the nexus of computer engineering, wireless networks, and advanced sensor technologies. His academic journey culminated in a PhD focusing on Software Defined Wireless Network (SDWN) engineering, where he delved into refining intelligent handover decisions in Wi-Fi environments by leveraging Quality of Experience (QoE) metrics and machine learning.
At LJMU's Built Environment and Sustainable Technologies Research Institute, Dr. Aldhaibani was spearheads pioneering research aimed at developing sensor platforms. This involves creating non-destructive measurement solutions for healthcare monitoring and innovative sensing technologies to detect insecticide residue on walls, crucial for combating diseases like Malaria. His expertise in design, construction of electronic and RF systems, and prototype implementation underscores his ability to innovate within this sphere.
During his tenure as an Industrial Systems Specialist at Sensor City, Dr. Aldhaibani showcased his prowess by leading and contributing to numerous impactful projects. Notably, he engineered a low-power ePaper device for healthcare monitoring and devised a sophisticated power consumption monitoring system for Knowsley Safari Park. These projects demonstrate his proficiency in harnessing IoT, LoRa networks, and embedded systems to develop practical, real-world solutions.
His technical prowess extends to diverse programming languages (Python, C/C++, VHDL) and comprehensive hardware/software development. Proficient in Ai and adept at intelligent system development utilizing fuzzy logic, Dr. Aldhaibani is well-versed in PCB design, electronic circuits, and a range of microcontrollers, including Pycom, Raspberry Pi, and Arduino.
Moreover, Dr. Aldhaibani actively engages in academic endeavors, blending theoretical knowledge with practical applications. He imparts his extensive knowledge by teaching engineering mathematics and Internet of Things (IoT) modules, ensuring students receive comprehensive, hands-on learning experiences.
2019, Liverpool John Moores University, United Kingdom, PhD entitled “Developing an SDWN Architecture for Wireless Network Engineering to Support a Quality of Experience Aware Handover
2012, Kharkiv National University of Radio Electronics, Ukraine, M.Sc. degree with in Computer Systems and Networks Engineering.
2009, University of Technology- Iraq, Iraq, B.Sc. Control and Systems Engineering/Computer Engineering
2023, LJMU, United Kingdom, Postgraduate Certificate in Higher Education
Satpute S, Jayabalan M, Kolivand H, Assi J, Aldhaibani OA, Liatsis P, Daud P, Al-Ataby A, Khan W, Kaky A, Al-Sudani S, Mahyoub M. 2023. Loan Default Forecasting Using StackNet Lecture Notes on Data Engineering and Communications Technologies 165 :434-447 DOI Publisher Url
Aldhaibani OA, Raschella A, Mohi-Ud-din G, MacKay M. 2021. A User Prioritisation Algorithm for Horizontal Handover in Dense WLANs International Journal of Wireless Information Networks, DOI Publisher Url Public Url
Raschella A, Aldhaibani OA, Pizzi S, MacKay M, Bouhafs F, Araniti G, Shi Q, Lucas-Estañ MDC. 2021. A Centralized Win-Win Cooperative Framework for Wi-Fi and 5G Radio Access Networks Wireless Communications and Mobile Computing, 2021 DOI Author Url Publisher Url Public Url
Aldhaibani OA, AL-Jumaili MH, Raschella A, Kolivand H, Preethi AP. 2021. A centralized architecture for autonomic quality of experience oriented handover in dense networks Computers and Electrical Engineering, 94 DOI Author Url Publisher Url Public Url
Aldhaibani O. 2019. Developing an SDWN Architecture for Wireless Network Engineering to Support a Quality of Experience Aware Handover Bouhafs F, Mackay M, Raschella A, Fergus P. Public Url
Aldhaibani O, AL-Jumaili MH, Bouhafs F, Mackay M, Raschella A, Alfoudi A, Dighriri M. 2018. An SDWN based Architecture for Enormously Dense Wireless Networks to optimize the Handover performance in WLAN International Conference on Interactive Digital Media (ICIDM)
Aldhaibani O, Bouhafs F, Makay M, Raschellà A. 2018. An SDN-based architecture for smart handover to improve QoE in IEEE 802.11 WLANs Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2018, 2018-January :287-292 DOI Publisher Url