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students a chance to explore cutting-edge concepts in AI-driven infrastructure management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research
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computing strategies, this project focuses on deploying ML models on real-world distributed infrastructures, improving system performance, scalability, and efficiency by optimizing resource usage (e.g
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theoretical possibility, but may become a real threat in coming years due to significant advances in quantum computing technology. This project investigates the design, analysis and efficient implementation
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Dunning-Kruger Effect and Groupthink Required knowledge This project is suited for a applicants with good skills in mathematics and computing, and an interest in game theoretic modelling methods. PhD
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knowledge Distributed systems (mobile, edge and cloud computing) knowledge and programming skills Federated learning knowledge and skills Familiarity with processing and analysing sensory data Learn more about minimum entry requirements .
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involve a lot of experiments using DL/AI methods. We will use the Monash High Performance Computing platform (MASSIVE) to do the experiments. Required knowledge You must have experience in Deep Learning, and have strong programming skills. Learn more about minimum entry requirements .
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Learning, Statistical Computing, Industrial Engineering, or Reliability Engineering are especially encouraged to apply. Learn more about minimum entry requirements .
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, and how they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick
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for time series anomaly detection: A survey. ACM Computing Surveys . Required knowledge Python programming, deep learning, PyTorch Learn more about minimum entry requirements .
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systematic benchmarking, followed by deployment on humanoid or mobile robots using NVIDIA Jetson edge computing platforms. This provides an opportunity to study not only accuracy, but also reliability