About
An independent collaboration connecting machine learning, cybersecurity, and infrastructure. Different disciplines. A shared commitment to understanding systems by building and studying them.
Federated intrusion detection, malware analysis, and renewable power for telecom sites look unrelated until you look at their common challenges: uneven data, uncertain operating conditions, and systems whose reliability depends on the decisions made beneath the surface.
Alongside the research, the studio builds software it actually runs, including an AI gateway and a self-hosted media platform. These projects create space to explore integration, infrastructure, and the practical decisions that connect an idea to a working system.
AsteriaX Labs is an independent, unincorporated research and engineering collaboration. It is not a registered corporation.
Every claim of improvement needs something honest to be measured against. We reproduce first, then change one thing at a time.
In progress, replicating, or still scoping: each direction carries its real stage, and nothing is promoted ahead of its evidence.
Published methods are named as external foundations. The contribution is the change we make, never the framework we start from.
Engineering projects are operated, not demonstrated. They are kept distinct from research and described without inflation.
No figures, benchmarks, or outcomes are published before the experiments behind them are complete and checked.
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.
