PhD Students

The following PhD scholarships have commenced. Their topics cover a variety of SmartSat CRC’s strategic and priority research areas ranging from Space IoT communications through to AI-powered autonomous operations in space. The majority of the PhD thesis topics have one or more industry partners to support the practical application of the proposed thesis topic, demonstrating SmartSat’s commitment to fostering Australia’s space industry through building strong linkages between academia and industry.

Current PhD Students

headshot - Franke Agenbag

Franke Agenbag

An automated method of detecting, characterising, and responding to radiation events in space

Defence, Science and Technology Group / University of South Australia

Emily Ahern

Emily Ahern

Compact Clock for Small Satellite Applications

University of Adelaide

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Robert Andriambol

Integration of Earth Observation data and ground-based measurements to accurately map the effect of Urban Heat Islands

Curtin University

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Zachary Auhl

Using Blockchain and DRBs to Orchestrate an IoT Network

La Trobe University

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Harrison Bennett

Machine learning-enabled satellites for Agile Space Operations

The University of Adelaide

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Anne Bettens

Autonomous navigation of satellites for space exploration

University of Sydney

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Yue Cai

Deep learning-based Low earth orbit (LEO) satellites task offloading and massive MIMO implementation

The University of Sydney


Konstantinos Chatzopoulos Vouzoglanis

Exploring the utility of high frequency satellite information on wildfire characterisation and impact estimation

RMIT University

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Xiongren Chen

Interpretable Machine Learning for the Early Smoke Wild-fire Detection

University of South Australia


Jason Dail

Towards effective adaptive monitoring of UN SDG #15: Protect and Sustain Terrestrial Ecosystems using  EO Data, Products and Services

University of Queensland

digital photo Charith Dissanayake

Charith Dissanayake

P1.27 Cognitive Satellite Radios

RMIT University

Thomas Graham Web small

Thomas Graham

Responsible AI in Space

Swinburne University of Technology

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Vinicius Guedes Goncalves de Oliveira

The cybersecurity of the Australian Space Infrastructure – A legal and policy analysis

Flinders University

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Nermine Hendy

Interference modelling, detection, and mitigation for improving spaceborne SAR performance

RMIT University

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Francis Karimi Kagai

Emergency Buddy System

Swinburne University of Technology

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Skevos Karpathakis

Communications engineering, phase- and spatial-stabilisation system development

University of Western Australia

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Chang Liu

Building damage estimation after natural disaster using multi satellite source data based on machine learning

UNSW Sydney

Alvaro Valenzuela

Alvaro Valenzuela Quinteros

Active fire detection from satellite Earth Observation

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Gillian Rowan

Using space-based Earth Observation to map Australia’s kelp forests for a stronger Blue Carbon economy

The University of Queensland

Hira Saleem

Hira Saleem

Natural Hazard prediction and damage assessment using multimodal satellite data in self-supervised XAI model

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Jordan Shipard

Efficient Subnets for Scalable Onboard AI in Space

Queensland University of Technology

Harikesh Singh

Harikesh Singh

An Empirical and Dynamic tool for Prediction of Forest Fire Spread Using Remote Sensing and Machine Learning Technique

University of the Sunshine Coast

Sabrina Slimani_photo

Sabrina Slimani

Using Quantum Entanglement to Remotely Synchronise Clocks

University of Adelaide

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Vibhor Thapliyal

Fabrication of 3-D, Wavelength-Tuneable Photonic Crystals for Space-Based Mm-Wave, Terahertz, and Infrared Communications

La Trobe University


Kou Tian

Deep Learning for Advanced Physical Layer Communications

The University of Sydney

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Nur Fajar Trihantoro

Real Time Fire Analytics

RMIT University


Lucas Tsutsui da Silva

Semi-Supervised Learning for Automatic Improvement of Onboard Object Detection Models on Small Satellites

University New South Wales Sydney

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Uakomba Uhongora

Development of Intelligent Security Controls for Software Defined Networking-based Space Systems

University of South Australia

Sai Vallapureddy

Sai Vallapureddy

A Machine Learning Based Solution for Space Situational Awareness and Space Sustainability

RMIT University

Brandon Victor

Brandon Victor

Using Satellite Data to Locate and Phenotype Plants from Space

La Trobe University

Kithmini Weththasinghe

Signal processing of cognitive satellite communication

University of Technology Sydney


Liang Zhao

Satellite image-based smoke detection for bush fire detection

University of South Australia

Graduated PhD Students