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. One line of our research involves the investigation of the impact of glaucoma-induced visual field loss on several activities of daily living such as reading, driving, and ambulation.
PROJECTS
Augmented-Reality Activity Tracking App
Automatic Instillation Activity Monitoring in Glaucoma Patients
Deep Learning Image Analysis of Macular OCTA Images for Detection of Progression in Glaucoma
STUDENTS
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
 |
Kevin Delao, B.S. Biology, current student |
|
|
Veronica Toriz, B.S. Computer Science, current student |
|
|
Bingnan Zhou, B.S. Computer Science, current student |
|
|
Tae (Tom) Hong, B.S. Finance, current student |
Undergraduate Students, California State University – Los Angeles, Los Angeles, CA
|
Jonathan Nunez, current student |
|
|
Hector Sanchez, current student |
|
|
Feng You, current student |
|
|
Nerses Martirosyan, current student |