Machine Learning and Sensing

Hello and welcome to my research lab at CSULA! The Machine Learning & Sensing Laboratory develops machine learning methods for autonomously analyzing and understanding various types of data, such as images, sensor measurements, and sounds.

Augmented-Reality Activity Tracking App

[[{"fid":"985111","view_mode":"default","fields":{"format":"default"},"link_text":null,"type":"media","field_deltas":{"1":{"format":"default"}},"attributes":{"height":180,"width":180,"class":"media-element file-default","data-delta":"1"}}]]

My students and I investigate and develop artificial intelligence, machine learning, pattern recognition, computational intelligence, signal processing, and information fusion methods for application to sensing. Applications we have studied include medical imaging, activity monitoring, assistive technologies, augmented reality, and visual field analysis. 

    Graduate Students, California State University – Los Angeles, Los Angeles, CA

    STEMEC Logo

    Kevin Delao, B.S. Biology, current student

    STEMEC Logo

    Veronica Toriz, B.S. Computer Science, current student

    STEMEC Logo

    Bingnan Zhou, B.S. Computer Science, current student

    STEMEC Logo

    Tae (Tom) Hong, B.S. Finance, current student
    Undergraduate Students, California State University – Los Angeles, Los Angeles, CA
     
    STEMEC Logo

    Jonathan Nunez, current student

    STEMEC Logo

    Hector Sanchez, current student

    STEMEC Logo

    Feng You, current student

    STEMEC Logo

    Nerses Martirosyan, current student