Machine Learning and Sensing Lab

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

Augmented-Reality Activity Tracking App

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

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    Kevin Delao, B.S. Biology, current student

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

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

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    Tae (Tom) Hong, B.S. Finance, current student

    Undergraduate Students, California State University – Los Angeles, Los Angeles, CA
     
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    Jonathan Nunez, current student

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    Hector Sanchez, current student

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    Feng You, current student

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    Nerses Martirosyan, current student