Email: shawnraydev@gmail.com
I have a masters degree in Computer Science and Engineering, specializing in Machine Learning with experience in Embedded systems and Virtual Reality. I enjoy programming and designing electronic projects.
Discrete Locomotion in Virtual Reality
Worked on a research project during studying the effect of locomotion techniques in virtual reality first-person
shooter games. Making comparisons between continuous locomotion and discrete locomotion to see which method is not only preferred by the player but also easier to perform.
Cross-View Attention in Mammography
Worked on a project recreating and extending the research done in cross-view mammography. Cross-view mammography is the topic of using all four views
in a mammography examination. Using Attention in deep learning between the four views to generate attention maps for the channel and the spatial dimension.
These attention maps aid in the final classification.
Breast Cancer Classification with Deep Learning
Implemented a deep neural network working off of VGGnet to classify breast tissue
images taken from CT scans as either cancerous or non-cancerous.
Cancer Classification Network
Designed a user friendly interface for medical professionals to assist in cancer diagnosis. This project centralized around the deep neural network
that is a modified AlexNet to work with DICOM images. The implementation of this network was done in JavaScript for a user friendly web based platform.