3D-4-BigData: 3D Printed Electronics enabled 4D Visualization of Big Data Networks

by Julian Kim

Current statistical/computational advances in network analysis lack the ability to understand the interconnectedness between network nodes in a tactile manner. The overall research goal is to design-develop-demonstrate-evaluate a novel data visualization method that brings together data analytics, augmented reality (AR), and 3D Printed Electronics (3DPE). Our approach can yield novel image-derived phenotype (IDP) biomarkers for complex diseases as well as provide pleiotropic gene targets for drug repurposing.

Major: 
Mechanical Engineering
Exhibition Category: 
Engineering
Exhibition Format: 
Poster Presentation
Campus: 
University Park
Faculty Sponsor: 
Guhaprasanna Manogharan
Poster Number: 
143

Award Winner

Engineering - Second Place