profile

AI researcher and PhD candidate working across trustworthy federated learning, split learning, privacy-preserving machine learning, edge intelligence, and resource-aware on-device AI. My work combines theoretical analysis, adversarial evaluation, systems implementation, and empirical validation.

education

2022–2026
PhD in Engineering
Deakin University, Australia · Thesis under examination
Trustworthy Federated Learning for Sixth Generation Cyber Physical Systems

selected publications

2026
StreamSplit: Continuous Audio Representation Learning via Uncertainty-Guided Adaptive Splitting
ACM MobiSys 2026
2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
IEEE Communications Surveys & Tutorials
2025
Domain-Adapted Granger Causality for Real-Time Cross-Slice Attack Attribution in 6G Networks
NeurIPS 2025 Workshop on CauScien · Poster
2025
Privacy and Fairness in Machine Learning: A Survey
IEEE Transactions on Artificial Intelligence
2024
Towards Privacy-Preserving Waste Classification in the Internet of Things
IEEE Internet of Things Journal
2023
HierSFL: Local Differential Privacy-Aided Split Federated Learning in Mobile Edge Computing
IEEE Virtual Conference on Communications

selected manuscripts

Under review
Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing
IEEE Transactions on Information Forensics and Security
Under review
The Sensitivity Gap: Privacy Miscalibration in Heterogeneous Split Federated Learning
NeurIPS 2026 submission
Under review
Separating Input-Carried from Model-Added Demographic Encoding in Language Models
AAAI 2027 submission

academic service & reviewing

40+ reviews
Peer Reviewer
Machine learning · federated learning · privacy · IoT · communications
Completed 40+ review assignments across conference and journal venues, including ICML, IEEE Internet of Things Journal, and IEEE Open Journal of the Communications Society.
10 reports
Springer Nature Reviewer
6 journals · last two years, as of Aug 2026
Completed 10 review reports for Scientific Reports, Artificial Intelligence Review, Cluster Computing, Journal of King Saud University Computer and Information Sciences, Journal of Data, Information and Management, and International Journal of Networked and Distributed Computing. Two additional review assignments were active as of Aug 2026.
2026
ICML Gold Reviewer Award
International Conference on Machine Learning
2025–2026
Technical Programme Committee Member
IEEE International Conference on Communications (ICC)
2023
Exemplary Reviewer Award
IEEE Open Journal of the Communications Society

research interests

Federated LearningSplit LearningEdge AIPrivacyDifferential PrivacyML SecurityCausal AIEmbedded MLAudio MLIoTCyber-Physical Systems

technical

PythonPyTorchDeep LearningReinforcement LearningDistributed MLModel ProfilingStatistical AnalysisResearch Prototyping