Dr Andrew Hines is an assistant professor in the School of Computer Science at University College Dublin.
Dr Hines’ research interests are in speech, audio and video signal processing. He has active research collaborations applying machine learning models to health applications and modelling cryptosystems. He has developed computational metrics for estimating speech and audio quality as well as for predicting speech intelligibility for people with hearing impairments.
He has collaborated with Google, Inc. on research co-funded by Enterprise Ireland to develop metrics to estimate speech quality for Voice over IP (VoIP) working, audio codec evaluation for streaming media and spatial audio applications.
Dr Hines represented Ireland on the management committee of Qualinet, an FP7 European COST Action, where he led a task force focused on using machine learning to develop Quality of Experience (QoE) models. He is currently on the management committee of the CryptoAction COST research network.
Outside of academia, Dr Hines spent a decade working in industry as director of engineering for software development companies in the airline and finance industries.
Funded Investigator University College Dublin UCD Converged