Jason Brown (2024)

I am a second year math PhD student at UCLA. In 2019 Igraduated from Cal Poly in San Luis Obispo with a B.S. inMathematics and a Minor in Physics. I am happy to say thatI am currently supported by the NSF funded MENTOR fellowship.I have many hobbies but am notably involved in competitivetable tennis and super smash bros (melee).My pronouns are he/him/his.

My current résumé can be found here.

My currents research interests are still developing, but Ihave interests in signal processing, image and natural language processing, and mathematical modelling. Currently, I have only explored topics related to image processing.

Notably, I explored some techniques in the realm of adaptive image thresholding and applications of image thresholding to videos for the purpose of segmentation. An example of this is seen at the right in which the video of the driving cars is segmented using Otsu's method along with pre-processing techniques to highlight the moving cars in the foreground of the image.

Below the driving cars is an example showing the convergenceof the Chan-Vese segmentation method applied to an imageof the United States of America. Credit for the video belongsto Pascal Getreuer for the code hosted in the IPOL paper'Chan-Vese Segmentation'. The Chan-Vese algorithm is aseminal segmentation technique developed in-part by UCLA'svery own Professor Luminita Vese.