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My area of expertise is condensed matter theory. I am interested in the interplay between interactions and unconventional electronic properties of novel materials including graphene, topological insulators and Weyl semimetals. The former favours quantum states of matter (e.g. excitonic...
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals from mobile devices and classify them into different categories or types of ringtones. The...
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, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or anthropological focus on the use of bespoke and/or
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Science (C6009) - We have a number of scholarships available for this program between 30% and 50% of the tuition fees. Master of CyberSecurity (C6010) - - We have a number of scholarships available
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Master of Commerce Scholarship Sir John Monash Fee Scholarship The Master of Commerce is a research-oriented programme preparing students for a PhD and an academic career. Offered as part of
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Advanced computer literacy and experience working with research management systems About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something
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create opportunities for the community to actively engage in research that impacts their lives. Working closely with researchers, clinicians and the Consumer and Research Engagement (CaRE) program, you’ll
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information, please contact: Professor Dennis Petrie dennis.petrie@monash.edu or Dr Gozde Aydin gozde.aydin@monash.edu Integrated PhD Program The project is based in the Centre for Health Economics (CHE), a
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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Advisory System, or data from other implantable or wearable devices. This involves consideration of both feature-based machine learning or data science approaches and neural mass parameter estimation