During his PhD studies, Nhan Duc Thanh Nguyen investigated the high-level cognitive response to natural speech events that occur during auditory attention and based on that proposed a novel approach to address the auditory attention decoding problem. He combined state-of-the-art machine learning methods with deep analysis of auditory event-related cognitive features of the scalp- and ear-EEG signals, using recordings from normal-hearing subjects.
The research findings demonstrated the possibilities of using cognitive response to decode the auditory attention, contributing a significant step toward developing neuro-steered supportive hearing devices.

The PhD study was completed at the Department of Electrical and Computer Engineering, Faculty of Technical Sciences, Aarhus University.

This summary was prepared by the PhD student.

Time: Friday, 15 November 2024 at 13:00
Place: Building 5125, room 417, Department of Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, 8200 Aarhus N
Title of PhD thesis: Detecting attended auditory events using ear-EEG: new approaches and methods for auditory attention decoding
Contact information: Nhan Duc Thanh Nguyen, e-mail: ndtn@ece.au.dk, tel.: +45 52739083

Members of the assessment committee:
Professor Tobias Reichenbach, Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-University Erlangen-Nürnberg, Germany

Associate Professor Tobias Søren Andersen, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark

Associate Professor Peter Johansen (chair), Department of Electrical and Computer Engineering, Aarhus University, Denmark

Main supervisor:
Professor Preben Kidmose, Department of Electrical and Computer Engineering, Aarhus University, Denmark

Co-supervisor:
Associate Professor Kaare Mikkelsen, Department of Electrical and Computer Engineering, Aarhus University, Denmark

Language: The PhD dissertation will be defended in English

The defence is public.
The PhD thesis is available for reading at the Graduate School of Technical Sciences/GSTS, Ny Munkegade 120, building 1521, 8000 Aarhus C.