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The successful applicant will conduct research to design and develop novel machine/deep learning based trust technologies for securing IoT services/devices. The successful applicant will conduct
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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are often trained. Further, the wide-spread usage of deep learning models has led to increasing number of minimally-interpretable models being used, as opposed to traditional models like decision trees
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are learning more and more how it relates to human health and disease. The new generation of deep metagenomic sequencing, consists in simultaneous sequencing of multiple microbial genomes at once and has
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the inherent bias coming from the data from which the models are often trained on. Further, the wide-spread usage of deep learning models has led to increasing number of minimally-interpretable models being used
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they are creating. This problem is often exacerbated by the inherent bias coming from the data on which the models are often trained. Further, the wide-spread usage of deep learning models has led to increasing