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infrastructures, improving system performance, scalability, and efficiency by optimizing resource usage (e.g., GPUs, CPUs, energy consumption). Researchers and students will explore innovative approaches to reduce
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containerisation (e.g., Docker) and orchestration tools (e.g., Kubernetes) for deploying and managing applications at scale, including support for GPU-accelerated applications. Data Engineering Tools: Proficiency in
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communications. Evaluation of model performance can be conducted based on the data collected through the water tank. We have the GPU machines ($14k) to develop deep neural networks for underwater communications
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equipped with 8 GPUs. This infrastructure will enable the efficient training and evaluation of complex neural network models, essential for the project's success. The significance of this project for our