E1AI gateway
ASTER
AI gateway and model-routing tooling.
Independent Research & Engineering Collective
Exploring Intelligent Systems. Engineering Practical Solutions.
AsteriaX Labs is an independent collaboration of three researchers working on federated cybersecurity, malware detection, and renewable power for telecommunications, alongside practical engineering projects.
- 01 · Will
- Federated Learning & Cybersecurity
- 02 · Yoga
- Malware Detection & Deep Learning
- 03 · Faisal
- Renewable Energy & Telecommunications
Positioning
Independent research. Practical engineering.
The research is thesis-level academic work, each direction led by one collaborator. It builds on published methods and is careful to say which parts are existing work and which are under study.
The engineering is software built to be used: an AI gateway, a self-hosted media application, and the infrastructure behind our experiments. It is kept separate from the research and described plainly.
Research directions
Three directions, each at its own stage.
Every direction states where it actually stands: in progress, replicating a baseline, or still defining its question.
- 01
Federated Learning & Cybersecurity
Led by Will
How federated intrusion detection systems share knowledge across clients whose traffic differs, with a focus on prototype-based methods and rare attack classes.
Ongoing Research - 02
Malware Detection & Deep Learning
Led by Yoga
Malware detection that combines deep representation learning with heuristic search for feature selection, starting from careful replication of existing work.
Baseline Investigation - 03
Renewable Energy & Telecommunications
Led by Faisal
Exploring how renewable sources, particularly solar, can support reliable power for telecommunications infrastructure such as base transceiver stations.
Exploratory Research
Engineering
Tools we build and run.
Engineering work sits beside the research, not inside it. These are working projects, not research claims.
E2Self-hosted application
Asteria Media
Self-hosted media organization and streaming application.
E3Internal tooling
Research Infrastructure
Computational infrastructure, notebooks, and tooling supporting applied research.
How we work
Plain statements about uncertain work.
- 01
State what is known
Every direction is labelled with its real stage. Ongoing, baseline, and exploratory work are presented as exactly that.
- 02
Credit existing work
Published methods and papers we build on are named as external foundations, never presented as our own.
- 03
Reproduce before extending
A trustworthy baseline comes first. Modifications are measured against it under documented conditions.
- 04
Report results only when they exist
No figures, benchmarks, or outcomes are published before the experiments behind them are complete.
Get in touch