Aditya Subash

Qualifications

• BEngElecComm, Vellore Institute of Technology (Tamil Nadu), India, 2015-2019
• MIT, Computing and Networking (CNE), James Cook University, Australia, 2019 – 2021

Biography

Aditya’s main research focus is on cybersecurity/information security, specifically authentication using behavioural biometrics. As part of his research, he will also be experimenting with various deep learning algorithms for user authentication and identification. Aditya has done various internships including on data science in National University of Singapore (NUS) and Schneider Electric. He was also a board member in the IEEE signal processing society student chapter at Vellore Institute of Technology, India (VIT).

Thesis Title

Developing novel methods that use AI algorithms for detecting and preventing information and cybersecurity threats.

Advisory Panel

Primary Advisor: Dr Insu Song, Secondary Advisor: Prof Ickjai Lee, Secondary Advisor: Dr Joanne Lee

Research Interests

• Cybersecurity/Information Security – behavioural biometrics
• Artificial Intelligence – Deep learning, Machine learning approaches