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sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create
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integrating IoT sensor data, ML algorithms, and energy system modelling / simulation. Develop engineering-based simulations to understand operational impacts on energy output and maintenance needs. Prepare
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow's technology in-house for a sustainable and secure society. When will
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. Key Accountabilities • Design and develop embedded AI algorithms for appliance profiling using smart meter data • Benchmark performance against state-of-the-art NILM approaches using datasets like
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decision making, whole farm management, efficiency, productivity, profitability, and sustainability. Technologies used should include some of the following, UAS, robots, sensors, internet of things
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, whole farm management, efficiency, productivity, profitability, and sustainability. Technologies used should include some of the following, UAS, robots, sensors, internet of things, artificial
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areas of computer science and engineering: algorithms, analysis of algorithms, animation & visualization, architecture, artificial intelligence, assistive technology, computer literacy, computer
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, sensor networks, robotics, and machine learning applied to the integration of computational algorithms and physical processes; Foundational aspects and methods in Machine Learning; Applications of machine
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areas of excellence and research foci within the Computer Science and Engineering Department include algorithms, animation & visualization, architecture, artificial intelligence, assistive technology