Home SmartSat CRC Conference 2024 2024 Technical Posters

Posters

The SmartSat CRC Conference provides our PhD students and Project Teams with the opportunity to showcase their research to peers, fellow researchers and industry partners. All posters have been uploaded below and will also be displayed onsite for attendees to view in the Ian McLachlan Room, Adelaide Oval.

If you wish to see the posters from the SmartSat CRC Conference 2023, click here.

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- Advanced Satellite Systems
- Sensors & Intelligence
- PhD Posters
P2.44s Deep Learning Intrusion Detection System for Smart Satellite Networks Based on Software Defined Networking
- Advanced Satellite Systems
- Sensors & Intelligence
- PhD Posters
P2.43s Semi-Supervised Learning for Automatic Improvement of Onboard Object Detection Models on Small Satellites
- Next Generation Earth Observation Data Services
- PhD Posters
P3.04 Real Time Fire Analytics
- Advanced Communication
- Connectivity & IoT Technologies
- PhD Posters
P1.20s Deep Learning for Advanced Physical Layer Communications
- Advanced Communication
- Connectivity & IoT Technologies
- PhD Posters
P1.25s Fabrication of 3-D, Wavelength-Tuneable Photonic Crystals for Space-based mm-Wave, Terahertz, and Infrared Communications
- Advanced Satellite Systems
- Sensors & Intelligence
- PhD Posters
P2.19s An Empirical and Dynamic Tool for Prediction of Forest Fire Spread using RS and ML Techniques
- Advanced Satellite Systems
- Sensors & Intelligence
- PhD Posters
P2.32s Efficient Subnets for Scalable Onboard AI in Space
- Next Generation Earth Observation Data Services
- PhD Posters
P3.31s Natural hazard prediction and damage assessment using multimodal satellite and geospatial data in self-supervised XAI model
- Next Generation Earth Observation Data Services
- PhD Posters
P3.04 Real Time Fire Analytics

Posters

P2.44s Deep Learning Intrusion Detection System for Smart Satellite Networks Based on Software Defined Networking

P2.43s Semi-Supervised Learning for Automatic Improvement of Onboard Object Detection Models on Small Satellites

P3.04 Real Time Fire Analytics

P1.20s Deep Learning for Advanced Physical Layer Communications

P1.25s Fabrication of 3-D, Wavelength-Tuneable Photonic Crystals for Space-based mm-Wave, Terahertz, and Infrared Communications

P2.19s An Empirical and Dynamic Tool for Prediction of Forest Fire Spread using RS and ML Techniques

P2.32s Efficient Subnets for Scalable Onboard AI in Space

P3.31s Natural hazard prediction and damage assessment using multimodal satellite and geospatial data in self-supervised XAI model

P3.04 Real Time Fire Analytics