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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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might also contribute to our understanding of how other spaces can be designed to support the required user experiences. The project is coordinated by an academic supervisor at the University of Cambridge
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or social robots; trust and reliance on conversational agents designed to be charming and disarming; so-called "dark patterns" and manipulative tactics in the user interfaces of a range of technologies, from
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current best-in-class benchmarks. Beyond the automotive sector, the project might also contribute to our understanding of how other spaces can be designed to support the required user experiences
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The project focusses on the healthcare and sports application development related to super-smart textiles and other wearable electronic technologies. This incorporates the user-centric design considerations
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, maintenance, disposal and recycling is required. Based on over a century’s experience, design and operation of power transformers have been highly optimised, with peak energy efficiency reaching over 99
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-in-the-loop representation learning algorithm design, asking users to decide what data pattern/structure should be preserved by an algorithm and injecting the preference into algorithm design. The
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sensing, and Electromyography (EMG) tools to understand user-device interaction and optimize real-world rehabilitation performance. The student will gain experience in AI, human biomechanics, smart textiles