About
Dr. Andrew Hines is Deputy Head of School and Director of Graduate Research for the School of Computer Science in University College Dublin, Ireland. His research interests focus on applying machine learning to applications in speech, audio, and video signal processing, specialising in Quality of Experience (QoE) for Listening and Media Technologies.
Dr. Hines is a Principal Investigator leading the Metaverse and Machine Perception theme for the national AI and Data Science Centre, Rinn AI. He has held investigator positions in seveal Research Ireland Insight Centre for Data Analytics, the Adapt Centre for AI-Driven Digital Content Technology, and the CONNECT Centre for Future Networks. Furthermore, he is an advocate for AI literacy in society and an active member of the ELLIS Society and the Royal Irish Academy Engineering and Computer Science Committee.
He is a senior member of the IEEE, and member of the ELLIS Society (a pan-European AI network of excellence) and Audio Engineering Society. He is a member of the Royal Irish Academy Engineering and Computer Science Committee. He holds a BAI, MA, and PhD from Trinity College Dublin, and an MSc and MBA from University College Dublin. His research has been recognised with awards including Technology Ireland/IBEC Outstanding Academic Achievement of the Year 2025, the Research Ireland Adapt Centre's Researcher of the Year 2024 Award and the Royal Irish Academy/American Chamber of Commerce Research Innovation Award.
Dr. Hines is an advocate for promoting AI literacy in society and has published about the impact of AI and the need for appropriate governance and regulation and development practices, e.g. proposing a statutory profession for AI professionals. He has appeared regularly on national television, radio, podcasts and print media interviews discussing on the impact of AI on society.
Key Research & Innovations
- ViSQOL: Developed a computational model for speech quality estimation, which has been widely adopted and is maintained as an open-source project by Google. It is utilized by major platforms like YouTube to monitor video audio quality globally.
- Go Listen Platform: Created an end-to-end web-based platform for subjective listening tests, which has been adopted by over 300 researchers and industry leaders to evaluate audio enhancement technologies.
- Ambiqual: Developed pioneering datasets and models to predict audio quality for surround sound spatial audio, aiding in immersive spatial audio and VR applications.
Awards & Recognition
- Technology Ireland/IBEC Outstanding Academic Achievement of the Year 2025.
- Adapt Research Ireland Centre Researcher of the Year 2024.
- Royal Irish Academy/American Chamber of Commerce Research Innovation Award.
- UCD Research Impact Case Study Award 2025.
Qualifications
- PhD, MA, and BAI from Trinity College Dublin.
- MSc and MBA from University College Dublin.
- PgDip in 3rd Level Teaching and Learning from TU Dublin.
Connect & Profiles
- UCD Profile: https://people.ucd.ie/andrew.hines
- Google Scholar: IJ_bu7gAAAAJ
- ORCID: 0000-0001-9636-2556
- QxLab GitHub: QxLab Ireland GitHub