Member Organizations
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Advanced Computing Research Laboratory
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The Advanced Computing Research Laboratory (ACRL) finds new and
innovative ways to design and harness high-performance computational
resources for scientific and engineering applications. Currently,
researchers are actively developing methodologies and software tools and
libraries to address issues in efficient use of high-performance
computing platforms in Grid environments. Grids enable access to
large-scale and diverse computational resources, data bases and
instruments and sensors, but presents new challenges in
high-performance software design since the software must operate
efficiently on many platforms and executions managed dynamically due
changes in resource availability during the course of the execution. The
ACRL's novel approach to the design and development of high-performance
software is an integral component in collaborations with researchers
nationally and internationally, and places them at the forefront of
Advanced Computing Research for tera and peta-scale systems.
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The Biomedical Imaging Lab fosters research in the areas of Computational Biomedicine and Bioimaging, with specific emphasis on Functional Brain Mapping and the interplay between neurophysiological signals and information processing in the brain. Research projects aim at developing new computational tools for the diagnosis and treatment of neurological disorders, as well as the characterization, quantification, and visualization of cancerous tumors. Considering the interdisciplinary nature of our research, we actively collaborate with clinicians, bioengineers, computational scientists, and other researchers located within the University of Houston and the Texas Medical Center.
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Houston Louis Stokes Alliance for Minority Participation
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The primary goal of the Houston Louis Stokes Alliance for Minority Participation (H-LSAMP) is to double, in five years, the number of minority students earning bachelors degrees in the science, technology, engineering, and mathematics fields (STEM) at the University of Houston. Through the Collaborative Learning Community (CLC), the program has implemented an effective approach for retaining minority students at the University by encouraging students taking high-risk courses to also actively participate in workshops that help them improve study and problem solving abilities, as well as to develop time management, goal setting, and team building skills. Many students in the H-LSAMP program are matched with a faculty advisor in order to facilitate mentoring, detect any problems and to guide the student in professional and career decision making strategies. Being able to work with faculty on their research projects reinforces academic skills and prepares the student for graduate education.
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Institute for Digital Informatics and Analysis
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The Institute for Digital Informatics and Analysis (IDIA) conducts fundamental and applied research on the digital paradigm for the transmission, manipulation and extraction of information. Through their research, data from images can be harnessed to create multidimensional models for use in medicine, geology and aerospace. For example, the IDIA has recently developed techniques for improving post-mastectomy breast reconstructive surgery. Another area of interest for researchers is the fundamental mathematical problem known as “inverse scattering” which underlies all types of digital imaging, including MRIs, CT scans, x-rays, ultrasounds, and sonar. Currently, the IDIA is developing and testing a fundamentally new formulation of this problem in a manner such that a digital-based solution can always be constructed.
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Institute for Molecular Design
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The Institute for Molecular Design (IMD) is a research and educational center dedicated to bridging the theoretical and experimental approaches to biomolecular structure and function. Through the implementation of cutting-edge computational technology for pharmaceutical, medicinal and industrial purposes, the institute develops genetic medication targeted against cancer, developmental diseases and viral and bacterial infections. Results from experimental studies of enzymes, nucleic acids, and bimolecular assemblies are used to target such illnesses as cancer, heart disease, polio, AIDS, diabetes and leukemia. Results may also be used to decrease the rejection rate for body implants, as well as to develop biosensors for oil spill identification and to design new materials for use in micro-electronic devices.
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Mission-Oriented Seismic Research Program
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The Mission-Oriented Seismic Research Program is committed to the concept and principle that serving the highest standard of significant, fundamental seismic research and and education aligns with the core responsibility of a university, the mandate of science to to expand the forefront of knowledge, and the central interest of the petroleum industry for improved reliable prediction and reduced risk.
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Texas Institute for Measurement, Evaluation, and Statistics (TIMES)
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The Texas Institute for Measurement Evaluation and Statistics (TIMES) works to increase knowledge about the psychological, educational and developmental behavior of adults and children through advanced research methods. One of the institute’s many current research projects is part of the National Institute of Health’s 10 year project to map the brain and involves working with bilingual children in the Houston area in order to determine where and how reading cognition occurs. Another TIMES project involves working with the Application Solutions Group (ASG) of TLC2 to create a multi-dimensional database that will integrate relational data as part of an ongoing effort to improve our understanding and analysis of both current and future research hypothesis.
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The goal of the Visual Computing Lab is to develop a comprehensive framework for processing of multidimensional data using data-adaptive algorithms and to develop techniques for both low-level signal processing tasks and high-level data interrogation tasks as well as to develop algorithms, techniques and systems for data interrogation, information extraction, and data representation that facilitate these tasks.
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