Cybersecurity Professional
Building at the edge of
networks & security
I work at the intersection of wireless security, IoT systems, and data privacy — researching real threats, building detection tools, and translating technical findings into actionable insight.
Selected Work
05 projects · 14 artifactsHPC Cluster Administration at UNF
End-to-end deployment and administration of a KVM-based OpenHPC cluster at the University of North Florida — from bare-metal provisioning through Open OnDemand portal deployment and GPU metrics collection. Work covers Rocky Linux 9.7 cluster build, Slurm/Munge configuration, NFS infrastructure, systemd service management, and a Telegraf-based GPU monitoring pipeline using NVIDIA tooling. All three projects are fully documented and publicly available on GitHub.
Benchmarking EEG-Based Authentication at Clinical Scale: A Reproducibility Study
A two-dataset reproducibility study evaluating five published deep learning EEG authentication methods on 2,993 clinical recordings from the Temple University Hospital TUABEXB corpus, and replicating Wang et al.'s DE-CNN on the original SEED dataset under subject-disjoint evaluation. Decomposes the reproducibility gap into a 59.77pp protocol effect and a 16.24pp dataset scale effect — the first work to isolate these two contributors at clinical scale. Submitted to Biomedical Signal Processing and Control (Elsevier).
Beacon Frame Analysis for Passive Rogue AP Detection
A passive, client-agnostic detection pipeline analyzing IEEE 802.11 Layer 2 management frames to distinguish legitimate APs from evil-twin rogue devices — without active probing or client-side instrumentation. Includes supervised ML classifiers, a rule-based CLI detection script, and qualitative analysis of MAC randomization and SSID cloaking failure modes.
Measurement Bias in Wearable PPG Sensors
A comprehensive literature review tracing the causal chain from PPG sensor optical physics through AI training pipelines to clinical harm and regulatory failure. Argues that algorithmic sophistication cannot compensate for a signal never accurately captured, and proposes five targeted policy recommendations spanning the FDA, EU AI Act, and NIH.
Dynamic Value Asymmetry in Ransomware Negotiation Models
A game-theoretic analysis of the Vakilinia et al. smart contract-based ransomware negotiation framework. Identifies two unaddressed modeling gaps — value asymmetry when attacker minimums exceed victim Shapley values, and static treatment of a dynamically depreciating victim valuation — and proposes a dynamically parameterized mechanism with Chainlink Automation integration.
About
Cybersecurity professional and HPC Systems Administrator working at the intersection of hands-on technical execution and rigorous analysis. My research spans passive rogue AP detection, IoT health equity, EEG biometric authentication, and ransomware negotiation. I focus on applicable and technically sound findings for real-world deployment.
Recently, I deployed and maintained a KVM-based OpenHPC cluster at UNF's Shared Infrastructure Services department, covering cluster provisioning, Slurm/Munge, NFS, Open OnDemand, and GPU metrics pipelines using Telegraf and NVIDIA tooling. I created high-level documentation with reproducibility as the standard.
- Wireless Security / 802.11Research
- Python / Scapy / scikit-learnEngineering
- Deep Learning (PyTorch, EEGNet, ResNet)Research
- Network Packet AnalysisEngineering
- OpenHPC / Slurm / KVMInfrastructure
- IoT Security & PrivacyResearch
- Game Theory & Mechanism DesignAnalysis
- Regulatory & Policy AnalysisAnalysis
- Kali Linux / Wireshark / airmon-ngTooling
- Technical Writing & ReportingCommunication