Team
AsteriaX Labs is a small collaboration. Each person leads one research direction and contributes to shared engineering work.
Federated Learning & Cybersecurity
Will's thesis research examines federated intrusion detection under non-IID data, working within PROTEAN, an existing prototype-based framework.
The current investigation focuses on how the server weights client prototypes during aggregation, and what that choice means for rare attack classes.
Malware Detection & Deep Learning
Yoga's research concerns malware detection with deep representation learning and heuristic search for feature selection.
Work is currently at the baseline stage: studying and replicating an external published approach before defining any thesis contribution.
Renewable Energy & Telecommunications
Faisal's research explores renewable power for telecommunications infrastructure, with particular interest in solar-assisted power systems for base transceiver stations.
The direction is exploratory. The final research question and methodology have not yet been confirmed.
