
University of New South Wales
Inspires students to reach new heights.
Encourages students to explore new ideas.
Always patient, kind, and understanding.
Helps students build confidence and skills.
Dr Bassel Al Homsi serves as Lecturer of Intelligent Space Systems at UNSW Canberra Space within the Faculty of Engineering at the University of New South Wales. His research specializations encompass wireless communications, applied artificial intelligence for space systems, satellite communications, neuromorphic computing, distributed learning, and stochastic geometry. These areas drive his contributions to next-generation satellite networks and intelligent space technologies, leveraging AI techniques for enhanced performance and connectivity.
Al Homsi obtained his PhD in Electrical and Electronic Engineering from RMIT University in 2020, Master of Telecommunications Engineering from the University of Melbourne in 2017, MSc in Electrical Engineering from the American University of Sharjah in 2016, and BSc in Electrical Engineering from the American University of Sharjah in 2014. His career trajectory includes this role at UNSW since December 2022, preceded by Research Fellow positions at RMIT University from June 2021 to December 2022 and at Deakin University in 2021, Research Assistant at RMIT University from August 2020 to June 2021, Research Officer at RMIT from January 2019 to June 2020, and Graduate Teaching Assistant at the American University of Sharjah from January 2015 to June 2016. Key publications include 'Artificial Intelligence Techniques for Next-Generation Massive Satellite Networks' (IEEE Communications Magazine, 2024), 'Next generation mega satellite networks for access equality: Opportunities, challenges, and performance' (IEEE Communications Magazine, 2022), 'IoT network design using open-source LoRa coverage emulator' (IEEE Access, 2021), 'Modeling uplink coverage performance in hybrid satellite-terrestrial networks' (IEEE Communications Letters, 2021), 'Deep Learning Forecasting and Statistical Modeling for Q/V-Band LEO Satellite Channels' (IEEE Transactions on Machine Learning in Communications and Networking, 2023), and 'Optimal beamwidth and altitude for maximal uplink coverage in satellite networks' (IEEE Wireless Communications Letters, 2022). He led the network design for Australia's largest IoT network, securing the Municipal Association of Victoria Technology Awards for Excellence and the IoT Alliance Australia Smart Cities Award in 2020. Al Homsi has presented seminars on distributed AI in space systems and is listed as an expert in applied artificial intelligence, satellite communications, and distributed learning in space systems.
Professional Email: b.al_homssi@adfa.edu.au