Innovative work with real-world impact by the Robotics Algorithms & Autonomous Systems Lab was recently honored at an IEEE robotics conference.

They are developing a new concept built on quantum spherical codes that could make the notoriously fragile information in a photon-based quantum computer less susceptible to errors.

Her work is supported by an NSF Faculty Early Career Development Program (CAREER) award, given to junior faculty that exemplify the role of teacher- scholars through their outstanding research and scholarship.

Alexey Gorshkov was recognized for his pioneering contributions to the understanding, design and control of interacting quantum systems.

The technology will be used to tailor treatment options to personalized patient factors like race, gender, location and educational backgrounds.

He was part of a team recognized for their contributions to algorithm engineering, including several frameworks that revolutionized large-scale graph processing on shared-memory machines.

In a paper being presented this week, authors affiliated with the CLIP Lab argue that topic model developers should reassess the increasing use of machine learning to evaluate their work.

She was recognized for her contributions in virtual reality, computer graphics and robotics.

It was recognized as the best paper presented at SafeRL, a workshop that was part of the 35th Conference on Neural Information Processing Systems (NeurIPS), held virtually from December 6–14.

MC2 researchers have been recognized for their analysis of malware behavior in the first large-scale study of its kind.