Joshua Peeples

Dr. Joshua Peeples is an Assistant Professor in the Department of Electrical and Computer Engineering at Texas A&M University's College of Engineering. His research focuses on developing novel machine learning and computer vision methods for texture analysis, pattern recognition, and image processing, with applications ranging from biomedical imaging to agricultural automation and underwater acoustics.

His work centers on histogram-based deep learning architectures for texture characterization and segmentation, with recent extensions to multi-modal data analysis and explainable AI. The Advanced Vision and Learning Lab he leads pioneers data-driven solutions for real-world challenges across diverse domains.

Awards:

• NSF Graduate Research Fellowship
• McKnight Doctoral Fellowship
• ACES Faculty Fellowship
• Edward Alexandar Bouchet Honor Society

His publications demonstrate strong emphasis on developing specialized neural network layers for texture analysis, with applications across sonar classification, plant phenotyping, and biomedical segmentation. Research consistently integrates theoretical machine learning advances with practical applications in engineering domains.