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how these techniques can support energy-efficient learning mechanisms while also maintaining strong security. A key outcome will be an FPGA prototype demonstrating a small neural network with secure
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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of the unit-cells, requiring an FPGA or microcontroller to provide the phase configuration required to steer the BS beam towards the UE [7]. This PhD proposal tackles the challenges of developing two different
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on relevant software will be made available (FPGA programming, Real-time modelling tools e.g. Opal-RT, Speedgoat, Typhoon HIL etc.) Entry Requirements If you have received a First-class Honours degree, or a 2:1
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throughout the Schools portfolio. Power Electronics / Power Engineering Embedded Systems /FPGA design/ Programming (C) Robotics and Automation Control Systems Finite Element Analysis Civil Engineering
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Electronics / Power Engineering Embedded Systems /FPGA design/ Programming © Robotics and Automation Control Systems Finite Element Analysis Civil Engineering (Transportation Engineering, Water Engineering
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neural network accelerators targeting FPGA prototyping and ASIC tape-out. Perform FPGA synthesis and implementation using Xilinx Vivado, run digital synthesis and place-and-route, develop testbenches
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electronics, development of FPGA devices, development of narrow-linewidth lasers, laser frequency stabilisation and control, image analysis, data acquisition, optical design and Gaussian beam propagation