Home Education PhD Students 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. Ahsan Waqas Distributed Beamforming for Satellite Applications University of South Australia Alvaro Valenzuela Quinteros Active fire detection from satellite Earth Observation Anne Bettens Autonomous navigation of satellites for space exploration University of Sydney Artur Medon Small satellite thermal management with 3D printed metal heat sinks containing phase change material thermal storage University of South Australia Benjamin Dix-Matthews Phase- and spatial-stabilisation system development University of Western Australia Brandon Victor Using Satellite Data to Locate and Phenotype Plants from Space La Trobe University Chang Liu Building damage estimation after natural disaster using multi satellite source data based on machine learning UNSW Sydney Emily Ahern Compact Clock for Small Satellite Applications University of Adelaide 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 Hira Saleem Natural Hazard prediction and damage assessment using multimodal satellite data in self-supervised XAI model Jason Dail Towards effective adaptive monitoring of UN SDG #15: Protect and Sustain Terrestrial Ecosystems using EO Data, Products and Services University of Queensland Jordan Plotnek Measuring Control System Resilience to Cyber-Physical Threat in a Satellite Context University of South Australia Jordan Shipard Efficient Subnets for Scalable Onboard AI in Space Queensland University of Technology Kathiravan Thangavel Artificial Intelligence for Distributed Satellite Systems Autonomous Operations: An Integrated Approach to Space and Control Segments Co-Evolution RMIT University Kithmini Weththasinghe Signal processing of cognitive satellite communication University of Technology Sydney Kou Tian Deep Learning for Advanced Physical Layer Communications The University of Sydney Liang Zhao Satellite image-based smoke detection for bush fire detection University of South Australia Lucas Tsutsui da Silva Semi-Supervised Learning for Automatic Improvement of Onboard Object Detection Models on Small Satellites University New South Wales Sydney Mohamed Shehata Potentials and Limitations of the IEEE 802.15.3d Standard for Terahertz Satellite Communications University of Adelaide Nermine Hendy Interference modelling, detection, and mitigation for improving spaceborne SAR performance RMIT University Nur Fajar Trihantoro Real Time Fire Analytics RMIT University Robert Andriambol Integration of Earth Observation data and ground-based measurements to accurately map the effect of Urban Heat Islands Curtin University Sabrina Slimani Using Quantum Entanglement to Remotely Synchronise Clocks University of Adelaide Sai Vallapureddy A Machine Learning Based Solution for Space Situational Awareness and Space Sustainability RMIT University Skevos Karpathakis Communications engineering, phase- and spatial-stabilisation system development University of Western Australia Thomas Graham Responsible AI in Space Swinburne University of Technology Uakomba Uhongora Development of Intelligent Security Controls for Software Defined Networking-based Space Systems University of South Australia Vibhor Thapliyal Fabrication of 3-D, Wavelength-Tuneable Photonic Crystals for Space-Based Mm-Wave, Terahertz, and Infrared Communications La Trobe University Vinicius Guedes Goncalves de Oliveira The cybersecurity of the Australian Space Infrastructure – A legal and policy analysis Flinders University Xiongren Chen Interpretable Machine Learning for the Early Smoke Wild-fire Detection University of South Australia Yue Cai Deep learning-based Low earth orbit (LEO) satellites task offloading and massive MIMO implementation The University of Sydney Zachary Auhl Using Blockchain and DRBs to Orchestrate an IoT Network La Trobe University Harrison Bennett Machine learning-enabled satellites for Agile Space Operations The University of Adelaide Francis Karimi Kagai Emergency Buddy System Swinburne University of Technology Gillian Rowan Using space-based Earth Observation to map Australia’s kelp forests for a stronger Blue Carbon economy The University of Queensland Konstantinos Chatzopoulos Vouzoglanis Exploring the utility of high frequency satellite information on wildfire characterisation and impact estimation RMIT University Cho Hilary Scott Nkimbeng Wideband Antennas for Cognitive Satellite Communications University of Technology Sydney