Name: NAS2022 conference in Odense
Start: 2022-06-01T00:00:00+02:00
End: 2022-06-03T23:59:59+02:00
Location: ODEON, Odense

Organizing Committee (2021)		Bio & Motivation
Alan Archer-Boyd Investigator Scientist, MRC Cognition and Brain Sciences Uni, University of Cambridge		Alan’s research focusses primarily on the interaction between dynamic listener behaviours and hearing-device signal processing. He is also interested in spatial hearing and improving CI fitting using spectro-temporal tests.
Charlotte Garcia PhD candidate, MRC Cognition and Brain Sciences Unit, University of Cambridge		Charlotte’s background is in biomedical engineering and music, and she is developing algorithms for characterizing neural activation patterns in cochlear implant users using electrically-evoked compound action-potentials. Her research interests also include pitch and music perception in hearing impaired listeners using various auditory technology platforms.
Tobias Goehring (Chair) MRC Fellow and Senior Research Associate, MRC Cognition and Brain Sciences Unit, University of Cambridge		Tobias’ research is on improving speech-in-noise perception with hearing devices by using technology and engineering tools (eg machine learning, multi-sensory integration, EEG). He is interested in computational methods for on-device processing and patient-specific optimisation, data analysis for outcome assessment and prediction, and overcoming barriers to access hearing care globally.
Francois Guerit Research Associate, MRC Cognition and Brain Sciences Unit, University of Cambridge		François’s current project investigates the temporal and spectral limitations arising when the auditory nerve is electrically stimulated with Cochlear Implants. He is interested in developing clinically-friendly electrophysiological measures for use with Cochlear Implants.
Andrew Harland Research Assistant, MRC Cognition and Brain Sciences Unit, University of Cambridge		Andrew is working on a project that investigates the temporal and spectral limitations arising when electrically stimulating the auditory nerve with Cochlear Implants.
Saima Rajasingam Lecturer in Audiology at Vision and Hearing Sciences, Anglia Ruskin University and Consultant Audiologist		With a research background in psychoacoustics and experiences as a clinical audiologist, Saima’s current research interests are focussed on improving engagement amongst adults who are reluctant to/struggle with accessing hearing care. She is particularly interested in the use of message framing, telehealth and alternative hearing technologies as a means of increasing uptake of treatment for hearing loss.
Ben Williges Research Associate, Clinical Neurosciences, University of Cambridge		Ben is a hearing technology and audiology engineer currently working on measuring cortical responses in adults with Cochlear implants (CIs), with the goal to develop objective measures of sound transmission through the electrically stimulated auditory pathways. He is interested in computational models as a tool to predict audiological outcomes with hearing devices.

General Organizing Committee		Motivation for VCCA
Jan de Laat Medical Physicist – Audiologist at Leiden University Medical Center.		In his work, Jan prefers the combination of tele-audiology, artificial intelligence in audiology and music perception. This includes the development and validation of screening and diagnostic tools, tests and APPs for his favorite topics.
Yağmur Güçlütürk Assistant Professor at Artificial Intelligence department Radboud University.		Yağmur would like AI to create more impact in neurotech. How can we fill in the gaps? Also, she would like to stimulate social interactions and motivate others in the COVID-19 period.
Peter van Hengel Medical Physicist – Audiologist in training at Radboudumc and Pento.		Peter is looking forward to meet the people in the field, build a community and get inspiration for new ideas.
Jan-Willem Wasmann (Co-Chair) Medical Physicist – Audiologist at Radboudumc.		Jan-Willem’s recent work includes AI-guided CI fitting techniques, simulated directional hearing based on neural networks, and remote care. He would like to stimulate the creation of a network of more (hybrid) AI & Audiology experts and hopes the conference could lead to novel projects.