Wi-Fi MAC & embedded wireless
IEEE 802.11 MAC and Wi-Fi HaLow architecture; QoS, scheduling, relay, and multi-hop design; Linux/OpenWrt mac80211 and ath9k driver work; packet-level debugging, BLE, and Zephyr RTOS.
Nurzaman Ahmed
# Engineering research scientist spanning Wi-Fi MAC, embedded wireless systems, interoperable AI, IoT, edge-cloud, and digital agriculture.
60+:: Scholarly works & chapters
13+ yrs:: Connected systems research
3:: Patents granted or filed
STL / USA:: Current location
Profile
I design wireless protocols and intelligent systems that turn real-world data into reliable infrastructure for discovery and action.
My work moves from IEEE 802.11 MAC design and Linux wireless driver implementation to Wi-Fi HaLow field networks, edge intelligence, plant phenotyping, and interoperable agent systems. The constant is practical: research should survive real constraints and become something people can use.
Selected systems
view all repositories →| ID | Project | Domain | Status | |
|---|---|---|---|---|
| sys-01 | OpenWrt ath9k 2C MACA driver-level TDMA-style MAC implementation in Linux ath9k/mac80211, with modified C driver paths, raw-packet tools, and OpenWrt/Linux testbed evaluation. | Wi-Fi MAC / driver | [public] | ↗ |
| sys-02 | Agent Skills Interoperability LabPortable patterns for distributed task routing, MCP/OpenAPI tool use, tracing, evaluation, and prompt-injection resistance. | agent systems | [public] | ↗ |
| sys-03 | IoT Learning GameA game-oriented IoT learning environment with real-time sensor data visualization and hands-on activities. | IoT education | [public] | ↗ |
| sys-04 | Internet of Agents for AgricultureA modular agriculture automation framework connecting AI agents, IoT devices, field observations, and action workflows. | agentic IoT | [public] | ↗ |
| sys-05 | SubterraAIA human-in-the-loop platform for image-based root phenotyping, versioned model retraining, and GWAS-ready analysis. | root phenotyping | [public] | ↗ |
| sys-06 | FieldDockAn integrated field platform linking sensing, edge computing, drone operations, APIs, and crop-breeding workflows. | digital agriculture | [deployed] | ↗ |
Research focus
# One systems question at every scale: how do we make intelligence reliable, interoperable, and useful where data is born?
Interoperable AI systems
Agent workflows, tool contracts, observability, evaluation, and the infrastructure that makes model behavior inspectable.
Edge-to-cloud intelligence
Reliable architectures that move computation across constrained devices, programmable networks, and cloud analytics.
Digital agriculture
Field-ready sensing, UAV imaging, plant phenotyping, and decision systems for productive, climate-smart agriculture.
Selected publications
full archive →Research trajectory
Donald Danforth Plant Science Center · Saint Louis
Dartmouth College · Computer Science
Indian Institute of Science · ECE
Indian Institute of Technology Kharagpur · CSE
North-Eastern Hill University
Open channel
# Available for research conversations and engineering collaborations around Wi-Fi MAC, embedded wireless and driver systems, agentic and interoperable AI, edge computing, IoT, and digital agriculture.