Hsuan-Yang Wang is a PhD student at the Centre of Doctoral Training (CDT) of Machine Intelligence for Nano-Electronic Devices and Systems (MINDS) at the University of Southampton.
Hsuan-Yang graduated with an MEng degree in Acoustical Engineering in 2015 from the Institute of Sound and Vibration Research (ISVR) at the University of Southampton. He has previously worked in the industry as a senior acoustic consultant at MACH Acoustics. In 2019, he joined the 'Embedded AI' research theme of the MINDS CDT and started a PhD under the supervision of Dr Christine Evers and Prof Philip Nelson. His research interest is in utilising the latest machine learning and artificial intelligence technologies in audio applications. He is currently working on developing an artificial source localisation model that emulates human perceptual behaviour to evaluate binaural technology, such as hearable devices and augmented reality.
You can update this in Pure (opens in a new tab). Select ‘Edit profile’. Under the heading and then ‘Curriculum and research description’, select ‘Add profile information’. In the dropdown menu, select - ‘About’.
Write about yourself in the third person. Aim for 100 to 150 words covering the main points about who you are and what you currently do. Clear, simple language is best. You can include specialist or technical terms.
You’ll be able to add details about your research, publications, career and academic history to other sections of your staff profile.