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

Untitled design - 2023-04-03T142305.205

Robert Andriambol

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

Curtin University

zac_auhl pic 2

Zachary Auhl

Using Blockchain and DRBs to Orchestrate an IoT Network

La Trobe University

SQUARE GRAPHIC (4)

Michael Aygur

Cognitive Satellite Radios

RMIT University

Untitled design - 2023-05-01T103900.023

Harrison Bennett

Machine learning-enabled satellites for Agile Space Operations

The University of Adelaide

Untitled design (95)

Anne Bettens

Autonomous navigation of satellites for space exploration

University of Sydney

Untitled design - 2023-04-03T154152.562

Yue Cai

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

The University of Sydney

SQUARE GRAPHIC (43)

Zhengyuan Chai

A Framework for Computational Reproducibility in Environmental Science with Support for Machine Learning Applications

Curtin University

ChatzopoulosVouzoglanis

Konstantinos Chatzopoulos Vouzoglanis

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

RMIT University

Untitled design - 2023-04-03T153214.695

Xiongren Chen

Interpretable Machine Learning for the Early Smoke Wild-fire Detection

University of South Australia

SQUARE GRAPHIC

Jason Dail

Improving Detection of Clearing and Regrowth in Woodlands Using Synthetic Aperture Radar

University of Queensland

Josh Headshot Cropped

Joshua Davis

Attack-resilient CubeSat Constellations

University of South Australia

Geekiyanage Deepa Rakshitha De Silva

Geekiyanage Deepa Rakshitha De Silva

Cognitive Satellite Radios

Deakin University

SQUARE GRAPHIC (5)

Francesca Devoto

Determining the Effects of A-Biotic Stress on Crop Growth Development, and Yield under Different Nitrogen Applications using Remotely Sensed Data for Cotton and Wheat

The University of Queensland

digital photo Charith Dissanayake

Charith Dissanayake

Cognitive Satellite Radios

RMIT University

SQUARE GRAPHIC (51)

Glen Eaton

Automating individual tree-scale aboveground biomass inventory and monitoring at local to regional scales with drone LiDAR and satellite data

The University of Queensland

SQUARE GRAPHIC (6)

Donna Fitzgerald

Quantifying Dieback of Eucalypt Forests using Remote Sensing

University of South Australia

Thomas Graham Web small

Thomas Graham

Responsible AI in Space

Swinburne University of Technology

Untitled design - 2023-04-03T150416.721

Vinicius Guedes Goncalves de Oliveira

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

Flinders University

SQUARE GRAPHIC (47)

Mohamad Abdul Hady

SCARLET-α: SpaceCraft Autonomy and Onboard AI for Next Generation Space Systems

University of South Australia

SQUARE GRAPHIC (45)

Elliot Hansen

Advanced Synthetic Aperture Radar-based Surface and Underwater Object Detection and Classification

The University of Adelaide/Defence Science & Technology Group

Untitled design (100)

Nermine Hendy

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

RMIT University

Untitled design - 2023-04-26T145141.996

Francis Karimi Kagai

Emergency Buddy System

Swinburne University of Technology

S karapathakis small web

Skevos Karpathakis

Communications engineering, phase- and spatial-stabilisation system development

University of Western Australia

Untitled design (96)

Chang Liu

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

UNSW Sydney

SQUARE GRAPHIC (41)

Bazarzagd Lkhagvasuren

Integration of Digital Earth and IoT for water quality monitoring

Curtin University

SQUARE GRAPHIC (39)

William Damario Lukito

Machine Learning Approach for The Enhancement of Transmission Capacity and Latency for Integrated Terrestrial-Satellite Communications

La Trobe University

SQUARE GRAPHIC (49)

Chenxi Luo

Machine learning based water quality parameters predicting and forecasting

La Trobe University

SQUARE GRAPHIC (8)

Trung Dung (Alex) Nguyen

Advances in Long-term Water Quality Monitoring through Data Fusion

La Trobe University

Alvaro Valenzuela

Alvaro Valenzuela Quinteros

Active fire detection from satellite Earth Observation

RMIT University

SQUARE GRAPHIC (9)

Simon Ramsey

Real-time Fire Analytics

RMIT University

Untitled design - 2023-05-17T161821.874

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

University New South Wales Sydney

Untitled design (98)

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

Ghaith Suleiman Mustafa El-Dalahmeh

SCARLET-α: SpaceCraft Autonomy and Onboard AI for Next Generation Space Systems

Swinburne University of Technology

SQUARE GRAPHIC (7)

Than Myint Swe

On-ground management of soil health by integrating proximal and remote sensing platforms in northern Australian savannas grazing land

The University of Queensland

Untitled design - 2023-04-03T145938.077

Vibhor Thapliyal

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

La Trobe University

Kou_Tian

Kou Tian

Deep Learning for Advanced Physical Layer Communications

The University of Sydney

Untitled design - 2023-04-03T141045.365

Nur Fajar Trihantoro

Real Time Fire Analytics

RMIT University

lucas_photo

Lucas Tsutsui da Silva

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

University New South Wales Sydney

Untitled design - 2023-04-03T145232.839

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

SQUARE GRAPHIC (10)

Ziwei Wang

Ultra-fine Attitude Control via Event-based Star Tracking and Piezoelectric Stabilisation

Australian National University

Kithmini Weththasinghe

Signal processing of cognitive satellite communication

University of Technology Sydney

btf

Liang Zhao

Satellite image-based smoke detection for bush fire detection

University of South Australia

Graduated PhD Students