Computer Science Professors Bultan (CE) and Giovanni Vigna take complementary approaches to data defense (COE Convergence Magazine)
Through uncertainty-aware design automation, Zhang hopes to make semiconductor manufacturing more efficient and the products more consistent.
The paper, “Boosted Race Trees for Low Energy Classification,” deals with in-sensor processing, classification, decision trees, and race logic.
First place awarded to Drop Table Teams who partnered with Appfolio to create DesignAR, an augmented reality iOS application to virtually place home furnishings with the ability to view and edit on multiple devices in real time
