Trust as a Systems Resource
My current research investigates how entropy, keys, and attestation artifacts can be modeled as explicit resources in distributed systems.
The goal is to support zero-trust orchestration for TEE-based systems using measurable trust services.
Quantum Entropy-as-a-Service
QEaaS exposes hardware-backed entropy through secure APIs for legacy and resource-constrained devices. The system evaluates throughput,
latency, entropy freshness, and trust-service behavior under concurrent workloads.
Quantum Trusted Platform Module
QTPM integrates QRNG-backed entropy with software TPM functionality, supporting stronger cryptographic workflows for IoT and distributed systems.
Teaching
I teach Python programming and computer architecture, including object-oriented programming, pipelines, memory hierarchy, RISC-V, and systems-level debugging.