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Faculty Profile Last Modified Time: 11:10:31 AM Mon, 23 Jul 2018   Contact Information Badrinath Roysam Associated Profiles  Department Chair, Electrical and Computer Engineering, University of Houston   Engineering Building 1, Room No.: N325    broysam@central.uh.edu     713-743-1773     713-743-4444    Web Link    Higher Education, Administration, Signal Processing Research, Computational Biology, Systems Biology, Computer Vision Systems, Embedded Pattern Analysis Systems, Biomedical Image Analysis Brain Tissue Mapping, Drug Discovery Systems Biomedicine    Associated Profiles Professional Preparation Research and Expertise Affiliations Appointments  Professional Preparation  Degree Major Institution Year  DSc Electrical Engineering Washington University in St. Louis 1989  MS Electrical Engineering Washington University in St. Louis 1987  BTech Electronics Engineering Indian Institute of Technology 1984  Research and Expertise Research Interests   The NIH & DARPA funded FARSIGHT project is developing multi-dimensional image analysis tools to make quantitative measurements and interpretation of images derived from modern optical microscopes. These systems are now capable of recording dynamic processes in living specimens in their spatial anatomical context and temporal order, yielding information-rich 5-D images (3-D space, time, spectra). Of particular interest to me are complex and dynamic tissue microenvironments that play critical roles in health and disease, e.g., tumors, stem-cell niches, brain tissue surrounding neuroprosthetic devices, retinal tissue, cancer stem-cell niches, glands, and immune system tissues. I am blessed with a network of great collaborators in each of these areas, many of whom are linked in. Multi-dimensional images are challenging to analyze (often exceeding human ability), due to their variability and sheer size. There is a need for automated systems to map the tissue anatomy, quantify structures associations, identify critical events, map event locations and timing to the tissue anatomic context, identify spatial and temporal dependencies, produce meaningful summaries of multivariate measurement data, and compare 4-D/5-D datasets for testing hypotheses, exploration, and systems modeling. Looking beyond the need for automaton, there is a need for "computational sensing" methods capable of exceeding human ability in sensing hidden patterns and trends. These tasks are computationally demanding; so, high-performance computing and high-end visualization are integral to my work.  Publications/Creative Works Click here to search for this faculty member's publications on PubMed.  Affiliations  Training Grants NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fellows  Research Consortia Gulf Coast Cluster for NeuroEngineering Gulf Coast Consortium for Translational Pain Research Gulf Coast Cluster for Translational Imaging Gulf Coast Cluster for Single Cell Omics  Appointments Title Department / School Institution Department Chair Electrical and Computer Engineering University of Houston

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