Computational Biomedicine Lab
Professor Ioannis A. Kakadiaris, Director
Research in the Computational Biomedicine Laboratory is motivated by fundamental open problems in the broad area of image analysis, with an emphasis on applications that address some of society’s greatest challenges. The overall theme is to develop a comprehensive framework that will lead to improved algorithms for analyzing multidimensional data in search of meaningful information. The ultimate goal is to allow computers to aid humans in taking full advantage of the multitude of data sources available through today’s technology to extract relevant information in an unobtrusive, reliable, accurate, and timely manner.
CBL is striving to be at the forefront of research in (i) biomedical computing and computer-assisted intervention, and (ii) biometrics to attract the finest undergraduate and graduate students and prepare them for leadership roles, and to integrate research with education and scholarship. The lab fosters innovative collaborations with other institutions, creates transferable technology, and disseminates results to scientific and medical communities and the general public. For example, lab members and their collaborators are breaking new research ground in the areas of cardiovascular informatics and face recognition.