Yuri completed a Bachelor of Electronic Engineering with honours (RMIT University, 2010) and a PhD in Biomedical Engineering (La Trobe University and Bionics Institute, 2014). As part of a PhD project, he developed an automated system that evaluates performance of electrical neural stimulation devices. It was used to show, for the first time, that combining acoustic and electric hearing results in better sound discrimination. As more people with residual hearing receive cochlear implants, this will provide a better understanding of how electric and acoustic sound perception combines.

Following his PhD he completed an internship at Monash Biomedical Imaging (sponsored by Melbourne Bioinformatics, formerly VLSCI) where he helped analyse and visualise MRI data of 100 Huntington disease patients. This was achieved using a hybrid supercomputer (MASSIVE) and 80 displays 320 degrees 3D virtual reality environment (CAVE2).

Back at the Bionics Institute, he is developing a minimally invasive, long-term, EEG monitoring implant. This is part of a multidisciplinary team effort in collaboration with St. Vincent’s Hospital, and University of Melbourne. Yuri is a key member of this project developing hardware and software prototypes, collecting and analysing data and working closely with neurosurgeons, neurologists, and epilepsy patients.

E: [email protected]

ORCID: 0000-0002-4872-0563

Google Scholar

Research projects

Epilepsy

Epi-Minder

 

Student projects

Artificial neural networks for versatile applications

Recent publications

1. Benovitski, Y. B., A. Lai, C. C. McGowan, O. Burns, V. Maxim, D. A. X. Nayagam, R. Millard, G. D. Rathbone, M. A. le Chevoir, R. A. Williams, D. B. Grayden, C. N. May, M. Murphy, W. J. D’Souza, M. J. Cook, and C. E. Williams. 2017. Ring and peg electrodes for minimally-Invasive and long-term sub-scalp EEG recordings. Epilepsy Research. 135: 29-37. doi: 10.1016/j.eplepsyres.2017.06.003.
2. Benovitski, Y. B., P. J. Blamey, G. D. Rathbone and J. B. Fallon (2014). Behavioral frequency discrimination ability of partially deafened cats using cochlear implants. Hearing Research, 315: 61-66.
3. Benovitski, Y. B., P.; Rathbone, G.; Fallon, J. (2014). An automated psychoacoustic testing apparatus for use in cats. Hearing Research, 309: 1-7.

See publications by Yuri Benovitski in PubMed