Computational Biomedicine Laboratory (CBL), University of Houston

Research in the Computational Biomedicine Laboratory is motivated by fundamental research problems in the broad areas of image analytics, computer vision, data mining, and machine learning, with an emphasis on applications that address some of society's greatest challenges. CBL is striving to be at the forefront of research in (i) biomedical computing and (ii) biometrics. 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. Active research projects include the areas of: cardiovascular, cancer and neuro- informatics; face and facial expression recognition; and action recognition & behavior analysis.

CBL provides a unique interdisciplinary research environment with internationally recognized collaborators from Medicine, Biology, Mathematics, and Engineering. CBL is currently home to 6 faculty, 3 postdoctoral fellows, and 14 trainees. The lab focuses on both basic and applied research, fosters innovative collaborations with other institutions, creates transferable technology, and disseminates results to scientific and medical communities and the general public.