Machine learning projects at NCSA: A QURPA student perspective
Join us for this seminar to hear UQ undergraduate students Aviral Kailash Jain and Edward Davis discuss their recent machine learning-based research projects with the US National Centre for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign.
Aviral and Edward spent January and February 2020 at NCSA working as interns on data mining projects as part of RCC’s Queensland Undergraduate Research Projects Abroad (QURPA) program.
Aviral, who last year completed the fourth year of his Bachelor of Engineering (Hons) in software engineering and his Bachelor of Mathematics, worked at NCSA on building a machine learning system to help with human activity recognition—specifically, to detect falls.
Aviral worked on incorporating NCSA's machine learning models into an end-to-end system that works with real-time video feeds to detect falls in real time.
Edward, who began his Honours this year in a Bachelor of Mathematics majoring in statistics and computer science, worked on a NCSA project using deep learning to analyse gravitational wave data coming from America’s Laser Interferometer Gravitational-Wave Observatory (LIGO) detectors. The gravitational waves that are measured can be used to infer details of an event, such as the collision of two black holes.
Join us if you're interested in these topics, or if you're a UQ undegraduate student interested in undertaking a QURPA internship in the future. QURPA research internships are intended for UQ IT/Multimedia students going on to honours the following year or Software Engineering students entering their final year.
Aviral Kailash Jain and Edward Davis