MrDevashish Chaudhary
Graduate Researcher
Faculty of Science Engineering and Built Environment/School of Information Technology
- Graduate ResearcherFaculty of Science Engineering and Built Environment/School of Information Technology
- 0405909752 (Mobile)
- Melbourne Burwood Campus, 221 Burwood Highway, Burwood, Victoria 3125
BIO
I am currently a PhD student specializing in Graph Neural Networks, Quantum Machine Learning, and Quantum Federated Learning, with a particular focus on applications in anomaly detection and cybersecurity. My research explores the intersection of advanced machine learning and emerging quantum technologies, aiming to develop intelligent, secure, and scalable solutions for future computing systems.
I am an active member of the Deakin Quantum Machine Learning research group, where I have contributed to several quantum research projects spanning quantum algorithms, quantum-enhanced learning models, and hybrid classical-quantum systems. My work also involves extensive training and experimentation in quantum programming, allowing me to engage deeply with state-of-the-art quantum frameworks and platforms.
Driven by curiosity and a passion for innovation, I am continually exploring new ways quantum technologies can transform the landscape of machine learning and security.
DEAKIN UNIVERSITY CURRENT APPOINTMENT
- Graduate ResearcherDeakin University, Faculty of Science Engineering and Built Environment/School of Information Technology
ACADEMIC POSITIONS
- PhD CandidateDeakin University, Burwood, Faculty of Science Engineering and Built Environment/School of Information Technology, Australia13 Nov 2024 - present
NON-ACADEMIC POSITIONS
- Associate Security Research AnalystSecurityPal, Kathmandu, Nepal16 Sep 2024 - 31 Oct 2024
DEGREES
- B.Tech. Computer Science and EngineeringVellore Institute of Technology University, Vellore, India2020 - 2024
LANGUAGES
- EnglishCan read, write, speak, understand and peer review
- NepaliCan read, write, speak and understand
- HindiCan read, write, speak and understand
FIELDS OF RESEARCH
- Artificial intelligence
- Machine learning
- Cybersecurity and privacy
- Quantum computation
- Neural networks
- Deep learning
- System and network security
AREA/FACULTY
- Faculty of Science Engineering and Built Environment
DEPARTMENT/SCHOOL/INSTITUTE/DISCIPLINE
- School of Information Technology