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Andrew Hines

Assistant Professor

Dublin City University

Ireland

Research Interests

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Professors in Ireland

About

Andrew Hines is an Assistant Professor at University College Dublin, Ireland. His research focuses on multimedia quality evaluation, network management in softwarized environments, and the cognitive rehabilitation of stroke patients. His recent articles explore topics such as multimodal inference, quality of experience in multimedia services, and the impact of noise on heart sound classification models.

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Collaborators (9)

Fatemeh Golpayegani

Associate Professor

University College Dublin

IRELAND

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Kata Szita

Assistant professor

Dublin City University

IRELAND

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John D. Kelleher

Professor of Computer Science

Trinity College Dublin

IRELAND

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Susan Mckeever

Senior Lecturer in Computer Science

Technological University Dublin

IRELAND

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Thi Nguyet Que Nguyen

Technological University Dublin

IRELAND

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Emmanouil Benetos

Reader (Associate Professor; 2022-present), Senior Lecturer (2018-2022), Lecturer (2015-2018), Royal Academy of Engineering Research Fellow (2015-2020)

Queen Mary University of London

UNITED KINGDOM

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Vaibhav Bajpai

Technical University of Munich

GERMANY

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Atif Mansoor

University of Western Australia

AUSTRALIA

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Muhammad Shahid Anwar

Assistant Professor

Gachon University

SOUTH KOREA

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Andrew Hines

Research Interests

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About

Articles (25)

Audio Made Simple: A Modern Framework for Audio Processing

BINAQUAL: A Full-Reference Objective Localization Similarity Metric for Binaural Audio

Correction: Making Lectures Accessible: AI-Based Abstractive Summarisation for Video Content (Technology, Knowledge and Learning, (2026), 10.1007/s10758-026-10015-6)

Making Lectures Accessible: AI-Based Abstractive Summarisation for Video Content

Learning to Associate: Multimodal Inference with Fully Missing Modalities

Beyond Correlation: Evaluating Multimedia Quality Models With the Constrained Concordance Index

QoEMultiSDN: Management of Multimedia Services Using MPTCP/SR in Softwarized and Virtualized Networks

EgoMusic: An Egocentric Augmented Reality Glasses Dataset for Music

Analyzing the Impact of Pre-training Data Domain and Scale on Cross-Domain Performance in wav2vec 2.0 Model

Attention Models and Auditory Transduction Features for Noise Robustness

Latent Insights: Exploring Phoneme Diversity in Natural and Synthetic Speech through Latent Representations

Respiratory Inhaler Sound Event Classification Using Self-Supervised Learning

Predictors of social risk for post-ischemic stroke reintegration

A Moving Metaverse: QoE challenges and standards requirements for immersive media consumption in autonomous vehicles

Exploring the impact of noise and degradations on heart sound classification models

QoE-aware Dynamic Resource Management in Future Softwarized and Virtualized Networks

Exploring the Impact of Signal Quality Enhancement on Heart Sound Classification Models

Automatic Quality Assessment of Digitized and Restored Sound Archives

Speech quality assessment with WARP-Q: From similarity to subsequence dynamic time warp cost

Understanding and Predicting Cognitive Improvement of Young Adults in Ischemic Stroke Rehabilitation Therapy

An audio processing pipeline for acquiring diagnostic quality heart sounds via mobile phone

Recommendations for designing hybrid conferences

Listening Effort Informed Quality of Experience Evaluation

Supervised-learning-Based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study

Go Listen: An End-to-End Online Listening Test Platform

Collaborators (9)

Fatemeh Golpayegani

Kata Szita

John D. Kelleher

Susan Mckeever

Thi Nguyet Que Nguyen

Emmanouil Benetos

Vaibhav Bajpai

Atif Mansoor

Muhammad Shahid Anwar

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