Sort by
Refine Your Search
-
subjective assessment. Design and implement machine learning algorithms for real-time prediction of occupant thermal comfort. Analyse physiological signals including skin temperature, skin conductance, heart
-
user studies, develop novel algorithms, build immersive/augmented realities, and validate your solutions in real-world settings. This PhD is ideal for candidates interested in one or more of the
-
and implement machine learning algorithms for real-time prediction of occupant thermal comfort. Analyse physiological signals including skin temperature, skin conductance, heart rate, and wearable
-
. You will develop and lead an independent research programme in one or more of the following areas: Hardware implementation of advanced signal-processing and machine-learning algorithms, including
-
user studies, develop novel algorithms, build immersive/augmented realities, and validate your solutions in real-world settings. This PhD is ideal for candidates interested in one or more of the
-
machine-learning algorithms, including systems-on-chip. Energy-efficient hardware solutions for signal processing, machine learning and control in smart sensors and implantable medical devices. Novel
-
operation will be studied. From a methodological perspective, the above research challenges will be tackled through a mix of theory, algorithm design, and analysis of experimental data, partly collected by
-
translate abstract democratic, organisational, and societal values such as algorithmic fairness, transparency, explainability (XAI) into rigorous, quantifiable engineering metrics without sacrificing
-
, implementable solutions. This output combines novel water quality sensors, microbacterial contamination detection methods and deep learning based algorithms to track and predict the quality of the produced water
-
the project into tangible, implementable solutions. This output combines novel water quality sensors, microbacterial contamination detection methods and deep learning based algorithms to track and predict