Rate My Professor Nasim Ferdosian

Dr. Nasim Ferdosian is a Lecturer in the School of Electrical Engineering, Computing and Mathematical Sciences, Faculty of Science and Engineering, at Curtin University in Perth, Australia. She concurrently serves as a Senior Research Associate in the Cisco-Curtin Center for Networks. Ferdosian earned her Ph.D. in Computer Science from Universiti Putra Malaysia in 2017. Her postdoctoral career included positions as a Postdoctoral Researcher at Dublin City University and EURECOM from 2017 to 2019, where she contributed to EU and nationally funded projects, followed by a Research Fellow role at Cergy Paris Université from 2020 to 2021.

Her research focuses on network automation, intelligent network control and management, radio resource management for 5G and beyond, wireless network optimisation, data-driven network control and management, and artificial intelligence and machine learning applications for next-generation mobile networks. She supervises higher degree by research students on topics such as low-power decentralized systems and cybersecurity anomaly detection. Ferdosian's publications have garnered over 250 citations on Google Scholar. Key works include 'Throughput-aware Resource Allocation for QoS Classes in LTE Networks' (Procedia Computer Science, 2015), 'Rated Window and Packet Size Differentiation Methods for Per-Rate Scheduling in LTE' (Arabian Journal for Science and Engineering, 2015), 'Two-Level QoS-Oriented Downlink Packet Schedulers in LTE Networks' (2013), '5G-VIOS: Towards next generation intelligent inter-domain network optimisation' (Computer Networks, 2024), 'Secured Real-Time Machine Communication Protocol' (Network, 2024), 'Low-Power Microcontroller-Based Decentralized Distributed Sequential Neural Network for Anomaly Detection in Wireless Sensor Networks' (2025), and 'A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection' (2025). In 2025, she was awarded a Trailblazer Early- and Mid-Career Researcher Grant.