Research Experience

My primary research interest is in wireless communication for IoT/CPS devices. I have (academic and industrial) experience with building solutions for Smart Industry. During my PostDoc, I researched agentic AI as a solution for Industrial CPS reliability.

Industrial R&D (Technical Reports)

Architectural deep-dives from applied research at Inertia Technology.

Resilient Firefighter Mesh

Design constraints for signal-denied environments using ESP32 and LoRa.

Read Report

Offshore Drone Telemetry

Integrating 4G/5G backhaul with ROS2 for windfarm inspection.

Read Report

Open Source Tools

I believe in building usable artifacts.

  • Discrete Event Simulator for CPS (Python)
    A framework for simulating agentic decision-making in unreliable networks.
    View on GitHub

  • Industrial 5G Channel Modeler (MATLAB)
    Simulating interference patterns in factory floors based on physical process schedules.
    View Code