The award will support their research on tools and strategies to help developers write more secure code, building on their work from the "Build It, Break It, Fix It" competition.
Penghui Yao is studying quantum communication, revealing that quantum messages need more qubits than anticipated, even in ideal conditions, and that interactive communication can require far more qubits than the information itself.
The funding supports a crossdisciplinary team investigating new interfaces, techniques and tools that encourage children ages 5–10 to build and program their own interactive wearables.
The researchers created a 3-minute "edutainment" video that improves software updating practices, showing that entertaining educational videos are more effective than traditional text-based security advice.
He was specifically recognized for his major contributions to algorithms, the uses of randomization in algorithms, randomness in networks, and the real-world applications of these topics.
The essay discusses how machine learning is transforming the prediction of human behavior, highlighting challenges like data "noise" and rare-event prediction, while emphasizing its potential in fields such as national security and health.
Elissa Redmiles was recognized for her research on helping users make security decisions online, which aims to improve security education for at-risk users.
