Meeting the Challenge
Getting a Better Feel for Surgery
Distinguished Professor Jerzy Rozenblit and his team are developing a Computer-Aided Surgical Trainer to reduce errors in laparoscopic procedures.We anticipate the CAST system will speed up learning, reinforce good habits and techniques and discourage bad ones, and, ultimately lead to better surgical outcomes and improved patient safety.
Improving Automotive Radar Systems
Professor Hao Xin is lead inventor for a pair of technologies that could improve performance and lower the cost of automotive radar systems – making key safety features available to more people.These technologies have applications in sensing and detection, autonomous cars and drones, pollution, water vapor detection, as well as wireless communication.
Saving Lives with Early Cancer Detection
Professor and BIO5 Institute director Jennifer Barton is leading a UA effort to create optical imaging tools that can detect ovarian cancer in its earliest stages.Our goal is to identify biomarkers at the earliest possible stage of ovarian cancer to build a viable optical imaging technology that will enable early detection and save lives.
Keeping Computer Data Meaningful
Startup Codelucida, cofounded by Professor Bane Vasić, is commercializing its error-correction technology for data storage and communications.The error-correction codes that we as engineers build in communications or memory chips are a kind of grammar that computers use to understand data and keep it meaningful.