STAFF PROFILE
Associate Professor Akram Hourani
Position:
Discipline Leader, Department of Electrical & Electronic Engineering
College / Portfolio:
STEM College
School / Department:
STEM|School of Engineering
Phone:
+61399259640
Email:
akram.hourani@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
Dr Akram Hourani's main research areas are: wireless communications, stochastic geometry, aerial networks, and radar systems.
View more at Dr Hourani’s: Google Scholar | Personal webpage- Dakic, K.,Al Homssi, B.,Walia, S.,Hourani, A. (2024). Spiking Neural Networks for Detecting Satellite Internet-of-Things Signals In: IEEE Transactions on Aerospace and Electronic Systems, 60, 1224 - 1238
- , A.,Vinogradov, E.,Cui, Z.,Hourani, A.,Pollin, S. (2024). A Geometry-Based Modelling Approach for the Line-of-Sight Probability in UAV Communications In: IEEE Open Journal of the Communications Society, 6, 364 - 378
- Hourani, A. (2024). In Press - Line-of-Sight Probability and Holding Distance in Non-Terrestrial Networks In: IEEE Communications Letters, , 1 - 5
- Hasib, M.,Sithamparanathan, K.,Rowe, W.,Hourani, A. (2023). Direction-of-Arrival (DoA) Estimation Performance for Satellite Applications in a Multipath Environment with Rician Fading and Spatial Correlation In: Sensors, 23, 1 - 18
- Mohamad Hashim, I.,Hourani, A. (2023). Satellite Based Localization of IoT Devices Using Joint Doppler and Angle-of-Arrival Estimation In: Remote Sensing, 15, 1 - 23
- Dakic, K.,Al Homssi, B.,Lech, M.,Hourani, A. (2023). HybNet: A Hybrid Deep Learning-Matched Filter Approach for IoT Signal Detection In: IEEE Transactions on Machine Learning in Communications and Networking, 1, 18 - 30
- Al Homssi, B.,Chan, C.,Wang, K.,Rowe, W.,Allen, B.,Moores, B.,Csurgai-Horvath, L.,Fontan, F.,Sithamparanathan, K.,Hourani, A. (2023). Deep Learning Forecasting and Statistical Modeling for Q/V-Band LEO Satellite Channels In: IEEE Transactions on Machine Learning in Communications and Networking, 1, 78 - 89
- Hourani, A.,Al Homssi, B.,Valentine, A. (2023). Developing Industry-Focused Internet-of-Things Course for Wireless Access Networks In: Proceedings of the IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE 2023), Auckland, New Zealand , 28/11/2023 - 01/12/2023
- Kurnia, F.,HENDY, N.,Wang, K.,Bachmann, M.,Krauss, T.,Zink, M.,Hourani, A. (2023). Passive Spacebourne SAR Using Opportunity of Illumination In: Proceedings of the IEEE International Radar Conference (RADAR 2023), Sydney, Australia, 06/11/2023-10/11/2023
- Hourani, A.,Evans, R.,HENDY, N.,Kurnia, F.,Bachmann, M.,Krauss, T.,Zink, M. (2023). Hybrid Passive-Active Approach for Interference Mitigation in Spaceborne SAR In: Proceedings of the IEEE International Radar Conference (RADAR 2023), Sydney, Australia , 06/11/2023-10/11/2023
Wireless communications, Stochastic geometry, Aerial networks (UAV Communications), Radar systems, Satellite communications, Millimeter-wave technology, Quantum Communications.
13 PhD Completions and 2 Masters by Research Completions18 PhD Current Supervisions and 1 Masters by Research Current Supervisions
- Bioinspired photoreceptor and smart neural mimicking technologies. Funded by: ARC-Discovery Projects from (2024 to 2027)
- CSIRO Data61 Program Funding Agreement - Artificial Intelligence-Enabled Secure Signal Processing and Connectivity for Autonomous Sensors. Funded by: CSIRO - Next Generation Graduates Programs from (2024 to 2029)
- Neuromorphic vision sensor for real-time detection and tracking. Funded by: Office of National Intelligence National Intelligence and Security Discovery Research Grants from (2023 to 2026)
- Multi-agent coordination for undersea surveillance (administered by The University of Melbourne). Funded by: Department of Defence Contract from (2022 to 2022)
- V-Band Radio Channel Prediction for Next Generation LEO Constellations. Funded by: SmartSat CRC from (2021 to 2022)