Scientific Committee | Bio | |
| Dennis Barbour MD, PhD, Associate Professor, Biomedical Engineering, Washington University in St. Louis. |   | Dennis’ research interests include auditory processing, cognitive neuroscience, machine learning and medical diagnostics. Most recently he has developed new machine learning methods for rapidly and thoroughly evaluating perception and cognition. These new tests are not only useful for exploring normal nervous system function, but also for diagnosing disorders. |
| Andreas Büchner Professor for Auditory Implants, Medical Hannover School, Head of Research of the German Hearing Centre Hannover, Germany |   | Andreas’ research focuses on signal processing for auditory implants including binaural stimulation strategies, noise cancelation, and beamformer algorithms. His research includes also development of automated fitting procedures based on objective measurements and patient feedback, particularly for CI patients. |
| Brent Edwards Director of the National Acoustic Laboratories (NAL) |   | For over 22 years he headed research at major hearing companies (GN ReSound, Starkey) and at Silicon Valley startups that have developed innovative technologies and clinical tools used worldwide. Dr. Edwards founded and ran the Starkey Hearing Research Center in Berkeley, California that was a leading site for research in hearing impairment and cognition. He is a Fellow of the Acoustical Society of America, a Fellow of the International Collegium of Rehabilitative Audiology and an Adjunct Professor at Macquarie University. |
| Rob Eikelboom Research Manager, Ear Science Institute Australia; Adj Professor, University of Western Australia; Extra-ordinary Professor, University of Pretoria. |   | Rob’s research focuses on epidemiology of ear disease and hearing loss, audiological service delivery (including telehealth) and assessing outcomes of HAs and implants. |
| Tobias Goehring (Chair of scientific committee) 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. |
| Andrea Hildebrandt Professor for Psychological Methods and Statistics, University of Oldenburg, Germany |   | Her research focus is on the advancement of multivariate statistical modeling approaches, such as non-linear structural equations combined with big data analyses techniques for applications in psychometrics and neurometrics. Together with a team of scientists belonging to the Cluster of Excellence “Hearing4All”, she is currently working on the design of psychological profiling algorithms to be used in the context of a virtual hearing clinic. |
| Inga Holube Professor for Audiology, Jade University of Applied Science in Oldenburg, Germany |   | Inga is active in the field of audiology since more than 30 years. During this time, she has conducted basic research as well as applied her knowledge to the development of hearing instruments in the industry. Her main research interests are subjective and objective measures for the assessment of speech intelligibility and listening effort, the evaluation of hearing instruments as well as the epidemiology of hearing impairment. |
| Nicholas Lesica Professor of Neuroengineering University College London |   | His research is focused on understanding how the brain represents and processes information about the outside world. The primary interest is hearing and, in particular, understanding how single neurons and small neural networks contribute to auditory function and dysfunction. |
| Bernd Meyer Professor for Communication Acoustics, University of Oldenburg. |   | Bernd’s research focuses on deep machine learning for speech enhancement, for building models of human speech perception (intelligibility, listening effort, quality), and unsupervised conduction of speech audiometry. His group also applies machine learning methods to analyze and classify neurophysiological data obtained through EEG. |
| De Wet Swanepoel Professor of Speech-Language Pathology & Audiology, University of Pretoria. |   | De Wet’s research interests span the field of early identification and diagnosis of hearing loss, objective measures of auditory functioning and ear and hearing telehealth. The improvement of ear and hearing health care through translational research is consistently emphasized, in particular the improvement of access to, and the quality of ear and hearing health care. |
| Marc van Wanrooij Assistant professor – Biophysics, Radboud University. |   | Marc’s research focuses on the question how information from our visual, auditory and vestibular senses is processed optimally by our brains. It specifically relates on how we deal with multiple sources of information that might be conflicting or ambiguous, and on how we cope if our senses become impaired. |
| Astrid van Wieringen Professor at Experimental ORL, Dept Neurosciences, University of Leuven |   | Astrid’s interdisciplinary research focuses on understanding the neural consequences of deprived auditory input, and optimizing hearing in adults and children with hearing aids and/or cochlear implants through evidence-based rehabilitation. |
| Lena Wong Professor at the University of Hong Kong and the Immediate Past-President of the International Society of Audiology |   | Lenas’ research interests include barriers and facilitators of hearing aid uptake, outcome measurement of amplification devices, and speech perception in tonal language speakers and in the Asian context. She is keen in helping clinicians apply findings to evidence based practice. |
| Fan-Gang Zeng Professor of Anatomy and Neurobiology, Biomedical Engineering, Cognitive Sciences, Otolaryngology–Head and Neck Surgery and Director of the Center for Hearing Research at University of California Irvine. |   | Fan-Gang is a leader in hearing science and technology, with 268 publications, 13071 citations and an h-index of 54 (Google Scholar, August 8, 2019). He led the development of the Nurotron 26-electrode cochlear implant (SFDA approval in 2011 and CE Mark in 2012) and SoundCure tinnitus suppressor (FDA clearance and CE Mark in 2011). |
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