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Neuronomy Lab TEXAS A&M UNIVERSITY–KINGSVILLE · EECS
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Applied Machine Learning & Signal Processing

Signal-level models for sensing and interaction, from sEMG recognition to energy forecasting on constrained devices.

sEMG Forecasting Signals

Publications

4

Citations

—

Researchers

6

Alumni

0

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01 / WHO WORKS ON THIS

Researchers

Members of the lab whose work sits in this area.

02 / WHAT CAME OUT OF IT

4 publications

Everything the lab has published in this area, newest first.

2026

2024

2023

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ELSEWHERE IN THE LAB

Other research areas

AREA 01

Federated & Edge Intelligence

Training and unlearning across distributed clients, with Byzantine robustness and privacy budgets that survive contact with real edge hardware.

Federated learningEdge AIFederated unlearning
2 publications 3 researchers
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AREA 02

Vehicular Networks & Security

V2X and MANET security: authentication protocols, digital-twin traffic environments, and defences against routing and forwarding attacks.

V2XRPLDigital twin
3 publications 1 researcher
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AREA 03

AI for Healthcare

Clinical and assistive models built to be checked — ECG arrhythmia detection, breast-ultrasound diagnosis, and multi-sensor elderly-care monitoring.

ECGUltrasoundElderly care
6 publications 3 researchers
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AREA 04

AI for Education

LLM-based formative feedback and exemplar selection for school mathematics, evaluated for feasibility before deployment.

LLM feedbackMath tutoring
2 publications 1 researcher
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AREA 05

Wireless Sensor networks

A Wireless Sensor Network (WSN) consists of a spatially distributed collection of dedicated, autonomous devices equipped with sensors to cooperatively monitor physical or environmental conditions. These compact nodes track data—such as temperature, pressure, motion, or acoustics—and leverage radio signals to pass their measurements through the network infrastructure to a central location, known as a base station or sink, where the data is analyzed. Because these networks typically operate in remote or hazardous environments, they rely heavily on low-power, ad-hoc wireless routing protocols and localized battery power to maintain long-term, self-healing communication without human intervention.

0 publications 2 researchers
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AREA 06

Networking & Systems

Wireless sensor networks, protocol performance under noise, and the systems work that makes distributed intelligence deployable.

WSNProtocolsSimulation
8 publications 3 researchers
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