This talk will introduce the academic and research programs of the Division of Visual Computing. The Division is dedicated to the idea that enhancing vision enhances understanding. To achieve this, we focus on the exploration of computational methods for making the invisible visible. This brings together a number of disciplines bearing on image making, image manipulation and image understanding, including Computer Graphics, Animation and Visual Effects, Illustration, Machine Vision, Visualization, Visual Perception, and Visual Narrative. Visual Computing supports coursework at all levels the School of Computing. In addition, we play a lead role in supporting Clemson's unique M.F.A. program in Digital Production Arts. Research in Visual Computing is advanced in laboratories supporting Computer Graphics and Visualization, Eye Tracking, and High Performance GPU Based computing.
Problem-solving environments (PSEs) are computer systems that can be used to explore a particular problem or modeling framework. PSEs are indispensable to research and development when the computations involve supercomputing or compliex, non-standard approaches like Monte Carlo simulations. It takes significant time and effort to develop a PSE from scratch. Our goal is simple: if a researcher comes in a 8 a.m. on Monday, she will have a working PSE by 5 p.m. on Friday. This is a new twist on an old articicial intelligence theme of expert systems. We focus on strategies and knowledge representation that is natural to the user. We discuss our research into a system that can generate a PSE based on the language and strategies of the community; we need to understand what we term "systems, questions, and explanations."
I'll discuss two of the ongoing bioinformatics / computational biology projects currently under consideration by my research group. The first involves novel algorithms for conducting genome-wide association studies. If one regards the human genome abstractly as a computer program, the search for genes or SNPs correlated with a particular disease is nearly identical to the software engineering problem of automatically identifying "buggy" lines of code in a large computer program. My research group has recently developed a new linear programming approach to automated bug detection in software, which we are now attempting to apply and validate in the biological context of a genome-wide association study. The second project is an ongoing long-term collaboration with Dr. Jonathan Halford at MUSC on developing improved machine learning methods for epilepsy detection in large EEG datasets. I will discuss the results to date for this project, along with our roadmap for future work.
10:00 a.m. - Break
More than ten million Americans have color-deficient vision. Although color-deficient vision is far from the most severe of human disabilities, its impact is felt by a large segment of the population, and its importance is growing, as our society increasingly depends upon the electronic display of color images and color image sequences for information and education. We describe the design and implementation of a specific assistive technology, a software system for real-time color-correction that will provide markedly enhanced image information display to color-deficient viewers.
Currently, The research in bioinformatics and chemical informatics (BCI) lab are focused on following areas: integrative analyzing high-throughput biological data (microarray, biological networks, SNPs, etc; studying the properties and organization of biological networks; constructing large bioinformatics database and web resources. The projects in BCI include network-based sub-network biomarkers identification, network-based classification of caner metastasis, prediction of genetic interactions and construction of cotton marker database.
11:00 a.m. - Ms. Deborah Whitten, CCIT - Medicaid and Healthcare Initiatives. Please contact Deborah Whitten for more information.
The Computational Biology Resource Center (CBRC) at MUSC focusing on the growth in use and the research applications in use on the facility. Purchased in Fall 2007, the CBRC cluster has a head node and 16 nodes, each with 8 cores. The CBRC cluster currently has a number of users focused on X-ray or NMR structure determination, G-protein signaling, drug development, and bioinformatics. Software development is confined to the bioinformatics groups. Growth in use began modestly but has increased from an average load of 1 to frequent load levels above 15 in the six months. Fast SAN storage for the CBRC cluster was recently doubled but this modest increase is expected to grow by five-fold in the coming months. The CBRC cluster is attracting users and providing training for MUSC researchers that will work nicely into the growing EPSCOR framework.
In 2009, Health Sciences South Carolina (HSSC) provided significant support for MUSC's successful Clinical and Translational Science Award (CTSA) application, in laying down the foundations for the South Carolina Integrated Platform for Research (SCIPR) as a named asset together with considerable personnel and financial resources to bolster MUSC's Biomedical Informatics Program (BIP). The BIP, in turn, provides HSSC and the South Carolina Clinical and Translational Research Institute (SCTR) with core academic informatics expertise, leading-edge open-source development expertise, and a tier three development and support group known as the Office of Biomedical Informatics Services (OBIS) which is at the core of several funded informatics projects. The BIP is also leading the development of a state-wide research infrastructure using key technologies as components of SCIPR including a clinical data warehouse, a research permissions management system and several other tools.
12 Noon - Lunch
1:00-3:00 p.m. - Open discussion on areas of mutual interest and collaborative opportunities.
Dr. Larry Hodges - Moderator