MULTIMODAL NLP RESEARCHER

Ibra Niang

Multimodal NLP Researcher @ The University of Memphis · BS/MS (Class of 2026)

memphis.edu • inniang@memphis.edu

Currently building a benchmark multimodal LLM for agriculture in the University of Memphis CS department.

FOCUS

Vision-language models, training pipelines, and efficient inference.

ADVISED BY

Dr. Xiaolei Huang

Publications & Preprints

Selected work, drafts, and papers in progress.

From UAV Imagery to Agronomic Reasoning: A Multimodal LLM Benchmark for Plant Phenotyping — Coming soon.

Who am I?

A quick snapshot of what I’m building right now and how I got here.

I’m a final-year Computer Science student at the University of Memphis working on hard multimodal ML problems— especially vision-language models, training pipelines, and efficient inference.

My current focus is building research-grade benchmarks and datasets for agriculture VLMs, and iterating on models end-to-end: data → pretraining → SFT → evaluation → deployment.