Research#
My research lies at the intersection of telecommunications and applied mathematics, with a focus on optimising network infrastructure for future wireless communication systems. Below is an overview of my Honours research, current PhD direction, and ongoing academic contributions.
Motivation#
Growing up in rural Australia, I experienced firsthand the challenges of limited network access and unreliable connectivity. These experiences motivated my interest in developing efficient, resilient, and accessible network solutions to address connectivity gaps in underserved regions. This motivation has since extended into my PhD research, shaped in part by living through the 2019–2020 Black Summer bushfires, during which many coastal communities lost telecommunications services for extended periods.
As a result, my work is driven by the goal of enabling cost-effective, high-quality communication networks that remain robust under both everyday operating conditions and disruptive natural events, with a particular emphasis on mathematically grounded models for network resilience, recovery, and adaptation.
Honours Research#
I completed my Honours Bachelor’s degree at Deakin University in telecommunications and applied mathematics. My Honours research focused on developing a mathematical framework for optical x-haul network design, supporting cost-effective and scalable deployment strategies for reconfigurable Radio Access Networks (RAN) and O-RAN architectures in beyond 5G (B5G) networks.
The project balanced performance, scalability, and affordability through rigorous mathematical modelling and optimisation. Core components of this research included:
Network Planning and Optimisation: Designing efficient optical x-haul layouts to improve performance, coverage, and deployment cost.
Resource Allocation: Developing strategies for dynamic allocation of resources within RAN architectures.
Mathematical Modelling and Simulation: Using applied mathematics to evaluate scalability, flexibility, and trade-offs across different x-haul configurations.
This work led to a paper presented at the Optical Fiber Communications Conference (OFC), followed by an extended journal version published in the Journal of Optical Communications and Networking (JOCN).
PhD Research Direction#
I am currently enrolled in a Doctor of Philosophy (PhD) at Deakin University. My doctoral research builds on my Honours work and shifts focus toward disaster recovery and disaster-resilient telecommunications networks, with particular emphasis on natural hazards such as bushfires, floods, and extreme weather events.
My PhD research investigates mathematically grounded resilience frameworks for network design, including optimisation, reconfiguration, and recovery strategies that enable networks to adapt under disruption. This work draws heavily on operations research, optimisation theory, and applied modelling, with applications to next-generation RAN and x-haul infrastructures.
Ongoing Research and Contributions#
My research activities extend beyond formal coursework and include the following:
Associate Deakin Research Summer Scholarships (2023/2024, 2024/2025, 2025/2026):
2023/2024 & 2024/2025: Focused on computer networks before transitioning to Radio Access Networks (RAN), O-RAN, and 6G resource allocation, establishing a strong foundation in network planning and optimisation.
2025/2026: Concentrated on advanced optimisation theory, specifically splitting methods and Bregman divergence–based approaches for the Weber problem in infinite-dimensional spaces, with emphasis on convergence properties and algorithmic efficiency.
Academic Publications:
Conference paper presented at OFC, with an extended version published in JOCN.
Author of a survey paper on reconfigurable RAN submitted to IEEE, covering network planning, resource allocation, and beyond 5G challenges.
Three additional papers currently under peer review, spanning telecommunications network optimisation and operations research–oriented modelling.
For more information on my academic background and research outputs, please visit: