Research Highlights

Soft Robotics

Matthew Spenko and Ankit Srivastava were awarded a $2 million, four-year grant to develop the framework for a new class of soft robots, aiming to improve U.S. manufacturing competitiveness.

Crime Prevention

The team of Miles Wernick, Lori Andrews, and Yongyi Yang was named the Nayar Prize II finalist for its Data-Driven Crime Prevention Program, giving social workers an informational tool to identify people who may be in need of assistance.

Computational Finance

Matthew Dixon develops machine learning models for algorithmic trading, econometrics, and computational finance, including deep learning models to avoid adverse price selection in market making.

Cyberbullying

Aron Culotta and Libby Hemphill have been working to predict cyberbullying on Instagram and intervene before it escalates. The tool can predict cyberbullying up to 10 hours before it will occur, giving schools, parents, law enforcement officials, and others time to intervene.

Interactive and Transparent Machine Learning

Mustafa Bilgic's machine learning laboratory designs learning algorithms with richer interaction capabilities, enabling them to explain their reasoning to improve trust and interpretability.

Ethics in STEM

The Center for the Study of Ethics in the Professions (CSEP) leads an NSF-funded project focused on developing ethical cultures in science, technology, engineering, and mathematics (STEM) research.