Dr Philip Weber is a post-doctoral computer science researcher specialising in data analysis and visualisation, machine learning, and applied artificial intelligence.
He currently provides data analytics, machine learning and artifiical intelligence consultancy and training to small and medium entrerprises (SMEs) through the ERDF-funded Think Beyond Data programme.
Philip obtained his PhD in Computer Science from the University of Birmingham, for his thesis “A framework for the analysis and comparison of process mining algorithms”, which proposed a probabilistic, machine learning framework within which to consider business process mining.
He has extensive experience in Automatic Speech Recognition, with particular interest in new models for robust speech recognition, inspired by linguistically and physically plausible models of speech production.
His background is systems analysis, design, integration, and administration in industry, focussing on designing and developing cross-platform solutions to protect data, reduce risk, and improve information available to management and other stakeholders.
My main research interests are
Refereed Conference Publications:
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