AI RESEARCHER · ENGINEER · WRITER

Muhammad Husnain

AI researcher · Engineer · WriterBricks co-founder

I research fine-grained hyperspectral AI at Griffith University with CSIRO engagement. I also build software, develop courses and write technical content through WriterBricks.

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BRISBANE, AUSTRALIAGRIFFITH × CSIRO

Professional portrait of Muhammad Husnain

MUHAMMAD HUSNAINPhD researcher / Artificial intelligence

THE JOURNEY SO FARGriffith UniversityCSIROFAST–NUCESWriterBricksSudoBricks

02 / SELECTED RESEARCH

Selected publications

My work connects fine-grained perception with remote sensing, agriculture, language and simulation.

**PatchHyperGraphOut architecture**Husnain et al. · IGARSS 2026 posterPublication source

2026Remote sensing

IEEE IGARSS 2026 · Paper 4141

PatchHyperGraphOut

A parallel 3D-CNN and Mamba encoder reads each raw hyperspectral patch. Hypergraph feature enrichment connects information across scales to improve fine-class recognition in large scenes.

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**Animal action recognition framework**Zia et al. · Artificial Intelligence Review, Fig. 1 · CC BY 4.0Publication source

2026Computer vision

Artificial Intelligence Review · 59, 133

Understanding subtle animal actions

A review of coarse and fine-grained animal action recognition, including datasets, vision methods and multimodal approaches.

Read open-access paper

**CNN encoder and regression architecture**Zia et al. · Current Research in Food Science, Fig. 1 · CC BY-NC-ND 4.0Publication source

2025Spectral AI

Current Research in Food Science · 10, 101030

From spectra to food quality

Combines near-infrared spectroscopy and deep learning to estimate chickpea flour quality and composition without destructive testing.

Read published paper

Explore all six publications

THE QUESTION THAT DRIVES MY PHD

What does a good accuracy score hide?

A land-cover map can look convincing while erasing tiny objects, confusing similar materials or losing boundaries. I work on models and evaluation that pay attention to those failures.

Fine-grained hyperspectral analysis · Weak and semi-supervision · Mamba and hypergraphs

Explore the fine-detail explanation

03 / MORE THAN A RESEARCHER

MY WRITING STUDIO / WRITERBRICKS