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Advanced Vision and Learning Lab (AVLL)

Texas A&M University College of Engineering

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Advanced Vision and Learning Lab (AVLL)

Texas A&M University · Electrical & Computer Engineering

Teaching machines to see, learn, and understand

We develop novel artificial intelligence, machine learning, and computer vision algorithms, with applications in agriculture, biomedicine, remote sensing, and underwater acoustics.

Explore Our ResearchJoin the Lab

14

Current Members

25

Lab Alumni

5

Funded Projects

20+

Publications

AVLL lab members, Fall 2025

The AVLL team, Fall 2025 · See all group photos →

Our Mission

What drives our work in the lab and beyond

 

The Advanced Vision and Learning Lab (AVLL) seeks to develop novel artificial intelligence (AI), machine learning (ML), and computer vision (CV) algorithms. We aim to be world leaders in the AI/ML/CV community through innovative solutions, unique perspectives, and reproducible research. Our lab seeks excellence in our research, academic, and professional environments. AVLL promotes intellectual, professional, and personal growth to achieve desired research and learning outcomes. We hold ourselves accountable to create a diverse, equitable, and inclusive space for all in the lab, at Texas A&M University, and in the broader community.

Research Projects

Funded work with national labs, federal agencies, and Texas A&M partners

 

Active 2022 – Present

Histogram Layers for Improved Target Classification

Sponsor: MIT Lincoln Laboratory

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Active 2022 – Present

Multi-modal, Multi-task Data Analysis for Automated Plant Phenotyping

Sponsor: Texas A&M AgriLife Research

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Completed 2025

3D Scene Understanding for Remote Sensing Imagery Analysis

Sponsor: Texas A&M University System National Laboratories Office

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Completed 2024 – 2025

Anomaly Detection in Synthetic Aperture Radar Imagery

Sponsor: Sandia National Laboratories

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Completed 2023 – 2025

Respiratory Health Evaluation with Machine Learning Models

Sponsor: Air Force Research Laboratory

Learn more →

View all research →

Latest News

Milestones and highlights from our lab members

 

Amir Mohammadi

Jarin Ritu

Congratulations

Amir Mohammadi and Jarin Ritu are now Ph.D. candidates

Both passed their preliminary exams. Amir’s research makes fine-tuning foundation models for passive sonar more efficient, and Jarin’s helps smaller models keep fine texture detail in sound classification and cell microscopy.

Read all news →

Explore the Lab

Find our papers, code, team, and courses

 

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Publications

Journal articles, conference papers, and work under review.

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💻

Code Repository

Open-source code for our research on GitHub.

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Our People

Meet the faculty, students, and alumni of AVLL.

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🎓

Courses

Courses taught by Dr. Joshua Peeples.

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Interested in joining AVLL?

We are always looking for talented, motivated students interested in AI, machine learning, and computer vision. Ph.D., M.S., and undergraduate research positions are available.

Graduate ApplicationUndergraduate Application

See qualifications and details →

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